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initial snapshot — gitify all builds (CLAUDE.md rule 2026-05-06)

e5e8b392d667a17855b7291f53967611fd3bb099 · 2026-05-06 10:20:31 -0700 · Steve

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commit e5e8b392d667a17855b7291f53967611fd3bb099
Author: Steve <steve@designerwallcoverings.com>
Date:   Wed May 6 10:20:31 2026 -0700

    initial snapshot — gitify all builds (CLAUDE.md rule 2026-05-06)
---
 .env.example                              |   25 +
 .gitignore                                |    7 +
 DRAMATIC_VIDEO_MODELS_RESEARCH.json       |  608 +++++
 README.md                                 |  153 ++
 REPLICATE_MODELS_QUICK_REFERENCE.md       |  303 +++
 assets/intro.mp4                          |  Bin 0 -> 7951 bytes
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 data/last-run.json                        |    5 +
 data/posted-artworks.json                 | 3794 +++++++++++++++++++++++++++++
 ecosystem.config.cjs                      |   39 +
 museum-art-bot.service                    |   17 +
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 scripts/post-3-wave-branded.js            |  138 ++
 scripts/test-wave-metamorphosis.js        |  176 ++
 scripts/test-wave-moderate.js             |  126 +
 scripts/wave-repeat-test.js               |  197 ++
 setup.sh                                  |   67 +
 src/addBranding.js                        |  241 ++
 src/animateKenBurns.js                    |  130 +
 src/animateWithAI.js                      |  154 ++
 src/animateWithGrok.js                    |  179 ++
 src/animateWithGrokFrames.js              |  206 ++
 src/animateWithHuggingFace.js             |  172 ++
 src/animateWithLuma.js                    |  260 ++
 src/animateWithMorphing.js                |  170 ++
 src/animateWithReplicate.js               |  133 +
 src/animateWithReplicateAlt.js            |  142 ++
 src/animateWithRunway.js                  |  113 +
 src/artworks.js                           |   55 +
 src/contentGenerator.js                   |  125 +
 src/createAnimation.js                    |  127 +
 src/database.js                           |  209 ++
 src/duplicateTracker.js                   |   81 +
 src/fetchArtwork.js                       |  148 ++
 src/fetchFromAIC.js                       |  104 +
 src/fetchFromMet.js                       |  140 ++
 src/fetchFromMuseums.js                   |   93 +
 src/fetchFromRijksmuseum.js               |  101 +
 src/healthServer.js                       |  115 +
 src/index.js                              |  231 ++
 src/postToX.js                            |  222 ++
 src/runOvernight.js                       |   54 +
 src/scheduledPoster.js                    |   76 +
 src/sendEmail.js                          |   55 +
 src/slackNotify.js                        |  126 +
 src/utils/retry.js                        |   72 +
 src/validateCredentials.js                |   82 +
 src/verifyVideo.js                        |  152 ++
 src/webDashboard.js                       |  303 +++
 tasks/prd-museum-art-bot.md               |   78 +
 test-all-services.js                      |  146 ++
 test-sunflowers.js                        |   86 +
 392 files changed, 13944 insertions(+)

diff --git a/.env.example b/.env.example
new file mode 100644
index 0000000..e5daec2
--- /dev/null
+++ b/.env.example
@@ -0,0 +1,25 @@
+# X.com (Twitter) API Credentials
+TWITTER_API_KEY=your_api_key
+TWITTER_API_SECRET=your_api_secret
+TWITTER_ACCESS_TOKEN=your_access_token
+TWITTER_ACCESS_SECRET=your_access_secret
+
+# Grok API Credentials
+GROK_API_KEY=your_grok_api_key
+
+# Rijksmuseum API Key (optional - works without but with limits)
+RIJKSMUSEUM_API_KEY=0
+
+# Bot Account
+X_USERNAME=goodquestionai
+
+# Cron Schedule (default: every 6 hours)
+CRON_SCHEDULE=0 */6 * * *
+
+# Email Notification Settings
+EMAIL_HOST=smtp.gmail.com
+EMAIL_PORT=587
+EMAIL_SECURE=false
+EMAIL_USER=your-email@gmail.com
+EMAIL_PASS=your-app-password
+EMAIL_FROM=your-email@gmail.com
\ No newline at end of file
diff --git a/.gitignore b/.gitignore
new file mode 100644
index 0000000..95ad207
--- /dev/null
+++ b/.gitignore
@@ -0,0 +1,7 @@
+node_modules/
+.next/
+dist/
+.cache/
+*.log
+.env
+.env.local
diff --git a/DRAMATIC_VIDEO_MODELS_RESEARCH.json b/DRAMATIC_VIDEO_MODELS_RESEARCH.json
new file mode 100644
index 0000000..c19f724
--- /dev/null
+++ b/DRAMATIC_VIDEO_MODELS_RESEARCH.json
@@ -0,0 +1,608 @@
+{
+  "search_summary": {
+    "platforms_searched": ["replicate.com", "github", "research papers", "model documentation"],
+    "repositories_analyzed": 15,
+    "docs_reviewed": 12,
+    "search_date": "2026-01-11",
+    "issue_identified": "SVD produces subtle motion; Luma single-frame outputs incorrect"
+  },
+
+  "repositories": [
+    {
+      "citation": "[1] Kling AI. 'Kling v2.5 Turbo Pro - Image-to-Video Generation.' Replicate, 2026. https://replicate.com/kwaivgi/kling-v2.5-turbo-pro",
+      "platform": "replicate",
+      "model_id": "kwaivgi/kling-v2.5-turbo-pro",
+      "stats": {
+        "runs": "1.6M",
+        "last_updated": "2026",
+        "cost": "$0.28 per second of video"
+      },
+      "key_features": [
+        "Pro-level text-to-video and image-to-video",
+        "Complex camera moves and high-speed action",
+        "Fluid motion with cinematic depth",
+        "Smooth motion with stable frames",
+        "Remarkable prompt adherence"
+      ],
+      "architecture": "Diffusion-based video generation with advanced physics simulation",
+      "code_quality": {
+        "testing": "production",
+        "documentation": "good",
+        "maintenance": "active"
+      },
+      "usage_example": {
+        "model": "kwaivgi/kling-v2.5-turbo-pro",
+        "input": {
+          "prompt": "Vincent van Gogh's Starry Night painting coming alive with dramatic swirling stars and moving clouds",
+          "start_image": "https://url-to-starry-night.jpg",
+          "duration": 10,
+          "aspect_ratio": "16:9"
+        },
+        "output": "MP4 video URL with dramatic swirling motion"
+      },
+      "limitations": [
+        "Premium pricing ($0.28/second = $2.80 for 10s)",
+        "Turbo version may sacrifice some quality for speed"
+      ],
+      "alternatives": ["Kling v2.0 (slower but higher quality)", "MiniMax Hailuo 2.3"]
+    },
+    {
+      "citation": "[2] MiniMax. 'Hailuo 2.3 - High-fidelity Video Generation.' Replicate, 2026. https://replicate.com/minimax/hailuo-2.3",
+      "platform": "replicate",
+      "model_id": "minimax/hailuo-2.3",
+      "stats": {
+        "runs": "38K",
+        "last_updated": "2026"
+      },
+      "key_features": [
+        "Realistic human motion",
+        "Cinematic VFX capabilities",
+        "Strong prompt and style adherence",
+        "Image-to-video support via first_frame_image",
+        "Built-in cinematic camera movements",
+        "Handles complex physical movements (gymnastics, parkour)"
+      ],
+      "architecture": "High-fidelity model optimized for realistic human motion and cinematic effects",
+      "code_quality": {
+        "testing": "production",
+        "documentation": "excellent",
+        "maintenance": "active"
+      },
+      "usage_example": {
+        "model": "minimax/hailuo-2.3",
+        "input": {
+          "prompt": "A dramatic camera pan across van Gogh's Starry Night as the stars swirl and dance in the night sky",
+          "first_frame_image": "https://url-to-image.jpg",
+          "duration": 10,
+          "resolution": "768p"
+        },
+        "output": "MP4 video with cinematic camera movements"
+      },
+      "limitations": [
+        "1080p limited to 6 seconds only",
+        "768p required for 10 second videos"
+      ],
+      "alternatives": ["Hailuo 2.3 Fast (lower latency version)", "video-01"]
+    },
+    {
+      "citation": "[3] Google. 'Veo 3.1 - Advanced Video Generation with Audio.' Replicate, 2026. https://replicate.com/google/veo-3.1",
+      "platform": "replicate",
+      "model_id": "google/veo-3.1",
+      "stats": {
+        "runs": "272K",
+        "last_updated": "2026"
+      },
+      "key_features": [
+        "Higher-fidelity video output",
+        "Context-aware audio generation",
+        "Reference image support (1-3 images)",
+        "Last frame support for interpolation",
+        "Realistic physics and motion",
+        "Natural camera movement",
+        "SynthID watermarking"
+      ],
+      "architecture": "Google's state-of-the-art diffusion model with audio synthesis",
+      "code_quality": {
+        "testing": "production",
+        "documentation": "excellent",
+        "maintenance": "active"
+      },
+      "usage_example": {
+        "model": "google/veo-3.1",
+        "input": {
+          "image": "https://url-to-portrait.jpg",
+          "prompt": "A person singing opera with dramatic facial expressions",
+          "duration": 8,
+          "resolution": "1080p",
+          "generate_audio": true
+        },
+        "output": "High-fidelity video with synchronized audio"
+      },
+      "limitations": [
+        "More focused on realistic/natural motion than extreme dramatic effects",
+        "Smoother transitions rather than explosive movement",
+        "Best for coherent, realistic sequences"
+      ],
+      "alternatives": ["Veo 3.1 Fast", "Wan 2.5"]
+    },
+    {
+      "citation": "[4] Alibaba. 'Wan 2.5 Image-to-Video with Audio Sync.' Replicate, 2026. https://replicate.com/wan-video/wan-2.5-i2v",
+      "platform": "replicate",
+      "model_id": "wan-video/wan-2.5-i2v",
+      "stats": {
+        "runs": "153.5K",
+        "last_updated": "2026"
+      },
+      "key_features": [
+        "Image to video with background audio",
+        "One-pass A/V sync capability",
+        "Lip-sync features for voiced content",
+        "Audio/voiceover synchronization",
+        "Up to 1080p resolution",
+        "10 second duration support",
+        "Multilingual support (Chinese and others)"
+      ],
+      "architecture": "Alibaba Wan 2.5 with audio synchronization pipeline",
+      "code_quality": {
+        "testing": "production",
+        "documentation": "good",
+        "maintenance": "active"
+      },
+      "usage_example": {
+        "model": "wan-video/wan-2.5-i2v",
+        "input": {
+          "image": "https://url-to-face.jpg",
+          "prompt": "Person singing a beautiful song with emotion",
+          "audio": "https://url-to-song.mp3",
+          "duration": 10,
+          "resolution": "1080p"
+        },
+        "output": "Video with synchronized lip movements and audio"
+      },
+      "limitations": [
+        "Audio files limited to 3-30 seconds and ≤15MB",
+        "Motion intensity not explicitly quantified"
+      ],
+      "alternatives": ["Wan 2.5 Fast (optimized for speed)"]
+    },
+    {
+      "citation": "[5] SadTalker Team. 'SadTalker - Audio-Driven Talking Face Animation.' Replicate, CVPR 2023. https://replicate.com/cjwbw/sadtalker",
+      "platform": "replicate",
+      "model_id": "cjwbw/sadtalker",
+      "stats": {
+        "github_stars": "High (OpenTalker/SadTalker)",
+        "last_updated": "2023-2026"
+      },
+      "key_features": [
+        "Single portrait image + audio = talking head video",
+        "Realistic 3D motion coefficients",
+        "Natural head movements and lip-sync",
+        "Eye blinking support",
+        "GFPGAN face enhancement",
+        "Pose style control (0-45)",
+        "Still mode to reduce head motion"
+      ],
+      "architecture": "Learning realistic 3D motion coefficients for stylized audio-driven single image talking face animation",
+      "code_quality": {
+        "testing": "comprehensive",
+        "documentation": "excellent",
+        "maintenance": "active"
+      },
+      "usage_example": {
+        "model": "cjwbw/sadtalker",
+        "input": {
+          "source_image": "https://url-to-portrait.jpg",
+          "driven_audio": "https://url-to-song.wav",
+          "use_enhancer": true,
+          "use_eyeblink": true,
+          "pose_style": 20,
+          "expression_scale": 1.2
+        },
+        "output": "Animated talking/singing head video"
+      },
+      "limitations": [
+        "Best for frontal portraits",
+        "May struggle with extreme angles",
+        "Resolution limited to 256 or 512"
+      ],
+      "alternatives": ["AniPortrait", "Video-Retalking", "LivePortrait"]
+    },
+    {
+      "citation": "[6] Fofr. 'LivePortrait - Efficient Portrait Animation.' Replicate, 2026. https://replicate.com/fofr/live-portrait",
+      "platform": "replicate",
+      "model_id": "fofr/live-portrait",
+      "stats": {
+        "last_updated": "2026",
+        "github_source": "KlingTeam/LivePortrait"
+      },
+      "key_features": [
+        "Portrait animation using driving video source",
+        "Stitching and retargeting control",
+        "Eye and lip retargeting with multipliers",
+        "Face scaling and positioning controls",
+        "Frame sampling interval control",
+        "Output up to 2048px resolution"
+      ],
+      "architecture": "Efficient portrait animation system with motion transfer from driving video",
+      "code_quality": {
+        "testing": "good",
+        "documentation": "good",
+        "maintenance": "active"
+      },
+      "usage_example": {
+        "model": "fofr/live-portrait",
+        "input": {
+          "face_image": "https://url-to-portrait.jpg",
+          "driving_video": "https://url-to-singing-video.mp4",
+          "live_portrait_eye_retargeting": true,
+          "live_portrait_lip_retargeting": true
+        },
+        "output": "Array of video URLs with transferred motion"
+      },
+      "limitations": [
+        "Cannot be used commercially (InsightFace buffalo_l models)",
+        "MIT license for code/weights but not for commercial use",
+        "Requires driving video source"
+      ],
+      "alternatives": ["SadTalker", "Sync Lipsync-2"]
+    },
+    {
+      "citation": "[7] Sync Labs. 'Lipsync-2 Pro - Studio-Grade Lipsync.' Replicate, 2026. https://replicate.com/sync/lipsync-2-pro",
+      "platform": "replicate",
+      "model_id": "sync/lipsync-2-pro",
+      "stats": {
+        "collection": "lipsync",
+        "quality": "studio-grade"
+      },
+      "key_features": [
+        "Studio-grade quality",
+        "Advanced emotional nuance",
+        "Facial alignment precision",
+        "High fidelity output",
+        "Professional video production ready",
+        "Expressive vocal content support"
+      ],
+      "architecture": "Advanced lipsync system optimized for professional production",
+      "code_quality": {
+        "testing": "production",
+        "documentation": "good",
+        "maintenance": "active"
+      },
+      "usage_example": {
+        "model": "sync/lipsync-2-pro",
+        "input": {
+          "video_or_image": "https://url-to-portrait.jpg",
+          "audio": "https://url-to-singing.mp3"
+        },
+        "output": "Professional-grade lipsynced video"
+      },
+      "limitations": [
+        "Premium pricing for pro version",
+        "May be overkill for simple projects"
+      ],
+      "alternatives": ["sync/lipsync-2 (faster, cheaper)", "Kling Lip-sync"]
+    },
+    {
+      "citation": "[8] Luma AI. 'Ray - Fast Text-to-Video and Image-to-Video.' Replicate, 2026. https://replicate.com/luma/ray",
+      "platform": "replicate",
+      "model_id": "luma/ray",
+      "stats": {
+        "versions": "Multiple (Ray, Ray-2, Ray Flash variants)",
+        "resolutions": "540p, 720p"
+      },
+      "key_features": [
+        "Fast, high quality text-to-video",
+        "Image-to-video generation",
+        "5s and 9s video durations",
+        "Multiple resolution options",
+        "Ray-2-720p for highest quality",
+        "Ray-Flash variants for speed"
+      ],
+      "architecture": "Luma Dream Machine Ray 2 generation system",
+      "code_quality": {
+        "testing": "production",
+        "documentation": "good",
+        "maintenance": "active"
+      },
+      "usage_example": {
+        "model": "luma/ray-2-720p",
+        "input": {
+          "prompt": "Dramatic swirling stars in night sky",
+          "image": "https://url-to-starry-night.jpg"
+        },
+        "output": "720p video URL (MP4)"
+      },
+      "limitations": [
+        "Short durations (5-9 seconds max)",
+        "Some confusion about output formats in documentation"
+      ],
+      "alternatives": ["luma/ray-flash-2-720p (faster)", "luma/ray-2-540p (cheaper)"]
+    },
+    {
+      "citation": "[9] ByteDance. 'Seedance 1 Pro - Fast Video Generation.' Replicate, 2026. https://replicate.com/bytedance/seedance-1-pro-fast",
+      "platform": "replicate",
+      "model_id": "bytedance/seedance-1-pro-fast",
+      "stats": {
+        "runs": "456.3K",
+        "optimization": "faster and cheaper"
+      },
+      "key_features": [
+        "Optimized for speed",
+        "Cost-effective option",
+        "High run volume indicates popularity"
+      ],
+      "architecture": "ByteDance Seedance generation system",
+      "code_quality": {
+        "testing": "production",
+        "documentation": "good",
+        "maintenance": "active"
+      },
+      "usage_example": {
+        "model": "bytedance/seedance-1-pro-fast",
+        "input": {
+          "prompt": "Dynamic scene with movement"
+        },
+        "output": "Video URL"
+      },
+      "limitations": [
+        "Limited documentation available",
+        "Fast version may sacrifice quality"
+      ],
+      "alternatives": ["Seedance 1 Pro (higher quality)"]
+    },
+    {
+      "citation": "[10] Tencent. 'HunyuanVideo - Large-Scale Video Generation.' Replicate, 2026. https://replicate.com/tencent/hunyuan-video",
+      "platform": "replicate",
+      "model_id": "tencent/hunyuan-video",
+      "stats": {
+        "parameters": "13 billion",
+        "performance": "Beats Runway Gen-3 in benchmarks"
+      },
+      "key_features": [
+        "13-billion-parameter model",
+        "Cinematic quality output",
+        "Motion accuracy excellence",
+        "Strong ecosystem support",
+        "Various aspect ratios and resolutions",
+        "Temporal consistency",
+        "Text-to-video (no image-to-video)"
+      ],
+      "architecture": "Comprehensive framework integrating image-video joint model training with efficient infrastructure for large-scale training",
+      "code_quality": {
+        "testing": "comprehensive",
+        "documentation": "excellent",
+        "maintenance": "active"
+      },
+      "usage_example": {
+        "model": "tencent/hunyuan-video",
+        "input": {
+          "prompt": "A drone shot of mountains at sunset with dramatic clouds",
+          "width": 1280,
+          "height": 720,
+          "video_length": 129,
+          "fps": 24,
+          "inference_steps": 50
+        },
+        "output": "High-quality cinematic video"
+      },
+      "limitations": [
+        "Text-to-video only (no image-to-video support)",
+        "Complex motions require prompt engineering",
+        "Requires 60GB+ GPU memory (80GB recommended)",
+        "Longer generation times"
+      ],
+      "alternatives": ["HunyuanVideo-I2V (separate image-to-video version on fal.ai)"]
+    }
+  ],
+
+  "technical_insights": {
+    "common_patterns": [
+      "Most models use diffusion-based architectures",
+      "Audio sync models separate lip-sync from general motion",
+      "Higher resolutions generally require longer processing",
+      "Prompt engineering critical for dramatic effects",
+      "Duration vs quality tradeoffs common",
+      "Most models output MP4 via Replicate delivery URLs"
+    ],
+    "best_practices": [
+      "For face animation/singing: Use SadTalker or LivePortrait with audio",
+      "For dramatic scene motion: Use Kling v2.5 or Hailuo 2.3",
+      "For professional lipsync: Use Sync Lipsync-2 Pro",
+      "For cinematic quality: Use Veo 3.1 or HunyuanVideo",
+      "For fast prototyping: Use Wan 2.5 Fast or Ray Flash variants",
+      "Always specify motion in prompts: 'swirling', 'dramatic', 'dancing', 'moving'",
+      "Use image-to-video mode with start_image/first_frame_image parameters",
+      "Combine models: Generate base video, then add lipsync separately"
+    ],
+    "pitfalls": [
+      "SVD produces subtle motion - avoid for dramatic effects",
+      "Luma model confusion - use luma/ray not specific version IDs",
+      "Commercial use restrictions on LivePortrait",
+      "Resolution limits affect duration (1080p often limited to 6s)",
+      "Audio file size/length limits vary by model",
+      "Some models don't support image-to-video despite being in i2v collection"
+    ],
+    "emerging_trends": [
+      "Integrated audio generation becoming standard (Veo 3.1)",
+      "Multi-reference image support for consistency",
+      "Start/end frame interpolation capabilities",
+      "Higher parameter counts (13B+ for HunyuanVideo)",
+      "Specialized lipsync models outperform general video models",
+      "Turbo/Fast variants provide speed/cost tradeoffs"
+    ]
+  },
+
+  "implementation_recommendations": [
+    {
+      "scenario": "Animate museum portrait to sing/talk",
+      "recommended_solution": "SadTalker (cjwbw/sadtalker) + audio file",
+      "rationale": "Specifically designed for audio-driven talking faces with natural lip-sync, head movement, and eye blinking. Single image input makes it perfect for museum portraits.",
+      "code_example": {
+        "model": "cjwbw/sadtalker",
+        "input": {
+          "source_image": "https://museum-portrait.jpg",
+          "driven_audio": "https://opera-singing.wav",
+          "use_enhancer": true,
+          "use_eyeblink": true,
+          "pose_style": 15,
+          "expression_scale": 1.0
+        }
+      }
+    },
+    {
+      "scenario": "Make Starry Night stars swirl dramatically",
+      "recommended_solution": "Kling v2.5 Turbo Pro (kwaivgi/kling-v2.5-turbo-pro)",
+      "rationale": "Excellent for complex camera moves and dramatic motion. High prompt adherence means it will follow instructions for swirling, dancing stars. Image-to-video support via start_image.",
+      "code_example": {
+        "model": "kwaivgi/kling-v2.5-turbo-pro",
+        "input": {
+          "prompt": "The stars in the night sky swirl and dance dramatically in spiraling patterns, the cypress tree sways, and the village below remains still. Dramatic swirling motion throughout the sky.",
+          "start_image": "https://starry-night.jpg",
+          "duration": 10,
+          "aspect_ratio": "16:9"
+        }
+      }
+    },
+    {
+      "scenario": "Bring historical scene to life with motion",
+      "recommended_solution": "MiniMax Hailuo 2.3 (minimax/hailuo-2.3)",
+      "rationale": "Optimized for realistic human motion and cinematic camera movements. Handles complex physical movements well. Good prompt adherence for historical accuracy.",
+      "code_example": {
+        "model": "minimax/hailuo-2.3",
+        "input": {
+          "prompt": "Renaissance marketplace with people walking, merchants selling goods, camera slowly panning across the busy scene",
+          "first_frame_image": "https://renaissance-painting.jpg",
+          "duration": 10,
+          "resolution": "768p"
+        }
+      }
+    },
+    {
+      "scenario": "Professional production quality lipsync",
+      "recommended_solution": "Sync Lipsync-2 Pro (sync/lipsync-2-pro)",
+      "rationale": "Studio-grade quality with advanced emotional nuance. Best for professional museum installations or high-quality presentations.",
+      "code_example": {
+        "model": "sync/lipsync-2-pro",
+        "input": {
+          "video_or_image": "https://portrait.jpg",
+          "audio": "https://narration.mp3"
+        }
+      }
+    },
+    {
+      "scenario": "Generate video with synchronized audio",
+      "recommended_solution": "Google Veo 3.1 (google/veo-3.1) or Wan 2.5 (wan-video/wan-2.5-i2v)",
+      "rationale": "Both support native audio generation/sync. Veo 3.1 generates context-aware audio automatically. Wan 2.5 accepts custom audio files for precise control.",
+      "code_example": {
+        "model": "google/veo-3.1",
+        "input": {
+          "image": "https://scene.jpg",
+          "prompt": "Orchestra playing with dramatic music",
+          "duration": 8,
+          "resolution": "1080p",
+          "generate_audio": true
+        }
+      }
+    },
+    {
+      "scenario": "Cinematic quality for museum exhibition",
+      "recommended_solution": "Tencent HunyuanVideo (tencent/hunyuan-video) - text only, or Veo 3.1 for image-to-video",
+      "rationale": "HunyuanVideo beats Runway Gen-3 in benchmarks with 13B parameters. Exceptional cinematic quality and motion accuracy. Use Veo 3.1 if you need image-to-video.",
+      "code_example": {
+        "model": "google/veo-3.1",
+        "input": {
+          "image": "https://artwork.jpg",
+          "prompt": "Museum artwork coming to life with cinematic lighting and smooth camera movement",
+          "duration": 8,
+          "resolution": "1080p",
+          "reference_images": ["https://style-ref1.jpg", "https://style-ref2.jpg"]
+        }
+      }
+    }
+  ],
+
+  "community_insights": {
+    "popular_solutions": [
+      "Kling v2.5 Turbo Pro - 1.6M runs, most popular for dramatic effects",
+      "ByteDance Seedance - 456K runs, popular for cost/speed balance",
+      "Google Veo 3.1 - 272K runs, popular for quality and audio",
+      "Wan 2.5 - 153K runs, popular for audio sync"
+    ],
+    "controversial_topics": [
+      "LivePortrait commercial restrictions despite MIT license",
+      "Quality vs speed tradeoffs in Turbo/Fast variants",
+      "Resolution limitations at higher durations",
+      "Lack of true image-to-video on some advertised models"
+    ],
+    "expert_opinions": [
+      "For museum animations, prioritize motion quality over speed",
+      "Audio-driven face animation works better than trying to prompt facial expressions",
+      "Multiple shorter clips often work better than single long generations",
+      "Prompt engineering is critical - always specify motion verbs (swirl, dance, move)",
+      "Consider generating base video then adding audio/lipsync in second pass"
+    ]
+  },
+
+  "model_comparison_matrix": {
+    "face_animation_singing_talking": {
+      "best": "cjwbw/sadtalker",
+      "alternatives": ["fofr/live-portrait", "sync/lipsync-2-pro", "wan-video/wan-2.5-i2v"],
+      "why": "Purpose-built for audio-driven facial animation with natural lip-sync and expressions"
+    },
+    "dramatic_scene_motion": {
+      "best": "kwaivgi/kling-v2.5-turbo-pro",
+      "alternatives": ["minimax/hailuo-2.3", "google/veo-3.1"],
+      "why": "Excellent complex camera moves, high-speed action, fluid motion, strong prompt adherence"
+    },
+    "cinematic_quality": {
+      "best": "google/veo-3.1",
+      "alternatives": ["tencent/hunyuan-video", "minimax/hailuo-2.3"],
+      "why": "State-of-the-art quality, realistic physics, native audio, reference image support"
+    },
+    "cost_effective": {
+      "best": "wan-video/wan-2.5-i2v-fast",
+      "alternatives": ["bytedance/seedance-1-pro-fast", "luma/ray-flash-2-540p"],
+      "why": "Fast variants optimize for speed and cost while maintaining quality"
+    },
+    "professional_lipsync": {
+      "best": "sync/lipsync-2-pro",
+      "alternatives": ["sync/lipsync-2", "kwaivgi/kling-lip-sync"],
+      "why": "Studio-grade quality with emotional nuance and facial precision"
+    }
+  },
+
+  "migration_from_svd": {
+    "problem": "SVD (Stable Video Diffusion) produces very subtle, minimal motion",
+    "solution": "Replace with dramatic motion models",
+    "code_changes": [
+      {
+        "from": "stability-ai/stable-video-diffusion",
+        "to": "kwaivgi/kling-v2.5-turbo-pro",
+        "reason": "Kling produces dramatic, expressive motion vs SVD's subtle drift"
+      },
+      {
+        "parameter_changes": {
+          "add": "prompt parameter with motion descriptors",
+          "example": "prompt: 'dramatic swirling motion, stars dancing across the sky, energetic movement'"
+        }
+      }
+    ],
+    "expected_improvements": [
+      "Visible, dramatic motion instead of subtle drift",
+      "Better prompt control over motion style",
+      "More engaging, museum-worthy animations",
+      "Professional quality output"
+    ]
+  },
+
+  "quick_start_guide": {
+    "step_1": "Identify your use case",
+    "step_2": "Choose model from recommendations above",
+    "step_3": "Prepare inputs (image + prompt or audio)",
+    "step_4": "Call Replicate API with model ID",
+    "step_5": "Retrieve video URL from output",
+    "example_code": {
+      "javascript": "const replicate = new Replicate({ auth: process.env.REPLICATE_API_TOKEN });\n\nconst output = await replicate.run(\n  'kwaivgi/kling-v2.5-turbo-pro',\n  {\n    input: {\n      prompt: 'Dramatic swirling stars in night sky',\n      start_image: 'https://starry-night.jpg',\n      duration: 10,\n      aspect_ratio: '16:9'\n    }\n  }\n);\n\nconsole.log('Video URL:', output);"
+    }
+  }
+}
diff --git a/README.md b/README.md
new file mode 100644
index 0000000..9d1f063
--- /dev/null
+++ b/README.md
@@ -0,0 +1,153 @@
+# Museum Art Animation Bot
+
+Automated bot that fetches random public domain artwork from Rijksmuseum, animates it using Grok AI, and posts to X.com.
+
+## Features
+
+- Fetches high-quality public domain artwork from Rijksmuseum
+- Works without API key (limited) or with free Rijksmuseum API key
+- Attempts animation using Grok API (optional)
+- Posts to X.com with artwork details and hashtags
+- Automatic cleanup of old files
+- Configurable posting schedule
+
+## Setup
+
+1. **Clone and install dependencies:**
+```bash
+npm install
+```
+
+2. **Configure API credentials:**
+```bash
+cp .env.example .env
+```
+
+Edit `.env` file with your credentials:
+- **X.com (Twitter) API**: Required for posting
+- **Grok API**: Optional for animation (falls back to static images)
+- **Rijksmuseum API**: Optional (works without but with rate limits)
+
+3. **Run setup script:**
+```bash
+chmod +x setup.sh
+./setup.sh
+```
+
+## Usage
+
+### Run once:
+```bash
+npm run fetch  # Just fetch artwork
+npm run post   # Post existing artwork
+npm start      # Full process
+node src/index.js --once  # Single run
+```
+
+### Schedule automatic posting:
+
+**Option 1: Built-in scheduler (recommended for testing)**
+```bash
+node src/index.js
+```
+
+**Option 2: System cron (recommended for production)**
+```bash
+# Add to crontab (runs every 6 hours)
+crontab -e
+0 */6 * * * cd /root/animatemuseumposts && node src/index.js --once >> logs/cron.log 2>&1
+```
+
+**Option 3: Systemd service (most robust)**
+```bash
+sudo cp museum-art-bot.service /etc/systemd/system/
+sudo systemctl daemon-reload
+sudo systemctl enable museum-art-bot
+sudo systemctl start museum-art-bot
+```
+
+## Configuration
+
+### Environment Variables (.env):
+- `TWITTER_API_KEY`: X.com API key
+- `TWITTER_API_SECRET`: X.com API secret
+- `TWITTER_ACCESS_TOKEN`: X.com access token
+- `TWITTER_ACCESS_SECRET`: X.com access secret
+- `GROK_API_KEY`: Grok API key (optional)
+- `RIJKSMUSEUM_API_KEY`: Rijksmuseum API key (optional)
+- `CRON_SCHEDULE`: Custom cron schedule (default: "0 */6 * * *")
+
+### Posting Schedule:
+Default is every 6 hours. Modify in:
+- `.env` file: `CRON_SCHEDULE="0 */6 * * *"`
+- Or in crontab directly
+
+## API Information
+
+### Rijksmuseum API
+- No API key required for basic usage
+- Register for free key at: https://data.rijksmuseum.nl/object-metadata/api/
+- Focuses on public domain artwork from famous artists
+
+### X.com (Twitter) API
+- Required for posting
+- Apply at: https://developer.twitter.com/
+- Needs Elevated access for media upload
+
+### Grok API
+- Optional for AI animation
+- Get access at: https://x.ai/api
+- Falls back to static images if unavailable
+
+## File Structure
+```
+animatemuseumposts/
+├── src/
+│   ├── index.js           # Main orchestrator
+│   ├── fetchArtwork.js    # Rijksmuseum fetcher
+│   ├── animateWithGrok.js # Animation processor
+│   └── postToX.js         # X.com poster
+├── output/                # Temporary artwork files
+├── logs/                  # Application logs
+├── .env                   # API credentials
+└── package.json          # Dependencies
+```
+
+## Monitoring
+
+Check logs:
+```bash
+tail -f logs/posts.log    # Successful posts
+tail -f logs/errors.log   # Errors
+tail -f logs/cron.log     # Cron output
+```
+
+Check systemd service:
+```bash
+sudo systemctl status museum-art-bot
+sudo journalctl -u museum-art-bot -f
+```
+
+## Troubleshooting
+
+1. **X.com authentication fails:**
+   - Verify API credentials in .env
+   - Ensure app has write permissions
+   - Check rate limits
+
+2. **No artwork found:**
+   - Rijksmuseum API may be rate limited
+   - Try adding API key for higher limits
+
+3. **Animation fails:**
+   - Grok API key may be invalid
+   - Bot falls back to static images automatically
+
+4. **Cron not running:**
+   - Check cron service: `sudo service cron status`
+   - Verify paths are absolute in crontab
+   - Check logs directory permissions
+
+## License
+
+MIT
\ No newline at end of file
diff --git a/REPLICATE_MODELS_QUICK_REFERENCE.md b/REPLICATE_MODELS_QUICK_REFERENCE.md
new file mode 100644
index 0000000..3287229
--- /dev/null
+++ b/REPLICATE_MODELS_QUICK_REFERENCE.md
@@ -0,0 +1,303 @@
+# Replicate Models for Dramatic Video Animation - Quick Reference
+
+## Problem Identified
+- **SVD (Stable Video Diffusion)**: Produces very subtle, minimal motion - NOT suitable for dramatic effects
+- **Luma models**: Confusion about video output - some versions output single frames instead of video
+
+## Solutions: Dramatic Motion Models
+
+### 1. BEST FOR DRAMATIC SCENE ANIMATION (Starry Night swirling stars, etc.)
+
+**Model ID**: `kwaivgi/kling-v2.5-turbo-pro`
+
+**Why**: Complex camera moves, high-speed action, fluid motion, excellent prompt adherence
+
+**Usage**:
+```javascript
+{
+  model: "kwaivgi/kling-v2.5-turbo-pro",
+  input: {
+    prompt: "The stars in van Gogh's Starry Night swirl dramatically in spiraling patterns, the cypress tree sways, clouds move energetically across the sky",
+    start_image: "https://url-to-image.jpg",
+    duration: 10,  // seconds
+    aspect_ratio: "16:9"
+  }
+}
+```
+
+**Output**: MP4 video URL with dramatic motion
+**Cost**: $0.28 per second ($2.80 for 10s video)
+**Runs**: 1.6M (most popular)
+
+---
+
+### 2. BEST FOR FACE ANIMATION - SINGING/TALKING
+
+**Model ID**: `cjwbw/sadtalker`
+
+**Why**: Purpose-built for audio-driven facial animation with realistic lip-sync, head movement, eye blinking
+
+**Usage**:
+```javascript
+{
+  model: "cjwbw/sadtalker",
+  input: {
+    source_image: "https://portrait.jpg",
+    driven_audio: "https://song-or-speech.wav",
+    use_enhancer: true,        // GFPGAN face enhancement
+    use_eyeblink: true,         // Add eye blinking
+    pose_style: 15,             // 0-45, controls head movement
+    expression_scale: 1.0       // Expression intensity
+  }
+}
+```
+
+**Output**: Animated talking/singing face video
+**Best For**: Museum portraits coming to life, historical figures speaking
+
+---
+
+### 3. BEST FOR CINEMATIC QUALITY + AUDIO
+
+**Model ID**: `google/veo-3.1`
+
+**Why**: State-of-the-art quality, realistic physics, generates audio automatically, supports reference images
+
+**Usage**:
+```javascript
+{
+  model: "google/veo-3.1",
+  input: {
+    image: "https://scene.jpg",
+    prompt: "Orchestra playing with dramatic music and movement",
+    duration: 8,                // 4, 6, or 8 seconds
+    resolution: "1080p",        // 720p or 1080p
+    generate_audio: true,       // Auto-generate synchronized audio
+    aspect_ratio: "16:9"
+  }
+}
+```
+
+**Output**: High-fidelity video with synchronized audio
+**Runs**: 272K
+
+---
+
+### 4. BEST FOR DRAMATIC HUMAN MOTION + CINEMATIC CAMERA
+
+**Model ID**: `minimax/hailuo-2.3`
+
+**Why**: Optimized for realistic human motion, cinematic VFX, handles complex physical movements (gymnastics, parkour)
+
+**Usage**:
+```javascript
+{
+  model: "minimax/hailuo-2.3",
+  input: {
+    prompt: "Renaissance marketplace with people walking, merchants selling, camera panning across busy scene",
+    first_frame_image: "https://painting.jpg",
+    duration: 10,               // 6 or 10 seconds
+    resolution: "768p"          // 768p or 1080p (1080p limited to 6s)
+  }
+}
+```
+
+**Output**: Cinematic video with dramatic camera movements
+**Runs**: 38K
+
+---
+
+### 5. BEST FOR PROFESSIONAL LIPSYNC
+
+**Model ID**: `sync/lipsync-2-pro`
+
+**Why**: Studio-grade quality with advanced emotional nuance, best for professional installations
+
+**Usage**:
+```javascript
+{
+  model: "sync/lipsync-2-pro",
+  input: {
+    video_or_image: "https://portrait.jpg",
+    audio: "https://narration.mp3"
+  }
+}
+```
+
+**Output**: Professional-grade lipsynced video
+**Alternative**: `sync/lipsync-2` (faster, cheaper version)
+
+---
+
+### 6. BEST FOR VIDEO-DRIVEN FACE ANIMATION
+
+**Model ID**: `fofr/live-portrait`
+
+**Why**: Transfer facial expressions/movements from any video to your portrait
+
+**Usage**:
+```javascript
+{
+  model: "fofr/live-portrait",
+  input: {
+    face_image: "https://portrait.jpg",
+    driving_video: "https://singing-performance.mp4",  // Source of motion
+    live_portrait_eye_retargeting: true,
+    live_portrait_lip_retargeting: true
+  }
+}
+```
+
+**Output**: Portrait animated with motion from driving video
+**Limitation**: Cannot be used commercially (licensing restriction)
+
+---
+
+### 7. BEST FOR AUDIO SYNC + VIDEO
+
+**Model ID**: `wan-video/wan-2.5-i2v`
+
+**Why**: One-pass audio/video sync, lip-sync features, custom audio integration
+
+**Usage**:
+```javascript
+{
+  model: "wan-video/wan-2.5-i2v",
+  input: {
+    image: "https://face.jpg",
+    prompt: "Person singing with emotion",
+    audio: "https://song.mp3",  // 3-30 seconds, ≤15MB
+    duration: 10,
+    resolution: "1080p"
+  }
+}
+```
+
+**Output**: Video with synchronized lip movements and audio
+**Runs**: 153.5K
+
+---
+
+### 8. LUMA MODELS (Fixed)
+
+**Correct Model ID for Video Output**: `luma/ray`
+
+**Other Luma Models**:
+- `luma/ray-2-720p` - 720p video output (5s and 9s)
+- `luma/ray-2-540p` - 540p video output
+- `luma/ray-flash-2-720p` - Faster 720p generation
+- `luma/ray-flash-2-540p` - Faster 540p generation
+
+**Usage**:
+```javascript
+{
+  model: "luma/ray-2-720p",
+  input: {
+    prompt: "Dramatic motion in scene",
+    image: "https://image.jpg"  // Optional for image-to-video
+  }
+}
+```
+
+**Output**: MP4 video URL (NOT single frames)
+**Duration**: 5 or 9 seconds
+
+---
+
+## Model Comparison Matrix
+
+| Use Case | Best Model | Runner-up | Why |
+|----------|-----------|-----------|-----|
+| **Dramatic scene motion** | `kwaivgi/kling-v2.5-turbo-pro` | `minimax/hailuo-2.3` | Complex camera moves, fluid motion, strong prompt adherence |
+| **Face singing/talking** | `cjwbw/sadtalker` | `wan-video/wan-2.5-i2v` | Purpose-built for audio-driven faces, natural lip-sync |
+| **Cinematic quality** | `google/veo-3.1` | `tencent/hunyuan-video` | State-of-the-art, realistic physics, native audio |
+| **Professional lipsync** | `sync/lipsync-2-pro` | `sync/lipsync-2` | Studio-grade quality, emotional nuance |
+| **Cost-effective** | `wan-video/wan-2.5-i2v-fast` | `bytedance/seedance-1-pro-fast` | Fast variants, good quality/cost balance |
+
+---
+
+## Key Insights
+
+### What Makes Motion "Dramatic"?
+
+1. **Prompt Engineering**: Use action verbs
+   - Good: "swirling, dancing, spiraling, energetic motion"
+   - Bad: "moving slightly"
+
+2. **Model Selection**: Choose motion-focused models
+   - SVD = subtle drift (avoid)
+   - Kling/Hailuo = dramatic action (use)
+
+3. **Duration**: Longer allows more dramatic development
+   - 5s = limited motion
+   - 10s = full dramatic arc
+
+### Best Practices
+
+1. **For museum portraits**: Use `sadtalker` with audio file
+2. **For paintings coming alive**: Use `kling-v2.5-turbo-pro` with motion prompt
+3. **For professional quality**: Use `veo-3.1` or `lipsync-2-pro`
+4. **For quick tests**: Use `-fast` or `-turbo` variants
+5. **Always specify motion**: Don't rely on model defaults
+
+### Common Pitfalls
+
+- Using SVD for dramatic effects (too subtle)
+- Not specifying motion in prompts
+- Trying to use text-only models for image-to-video
+- Ignoring duration vs resolution tradeoffs
+- Forgetting audio file size/length limits
+
+---
+
+## Migration from SVD
+
+### Old Code (Subtle Motion):
+```javascript
+{
+  model: "stability-ai/stable-video-diffusion",
+  input: {
+    image: "https://starry-night.jpg"
+  }
+}
+// Result: Barely visible motion
+```
+
+### New Code (Dramatic Motion):
+```javascript
+{
+  model: "kwaivgi/kling-v2.5-turbo-pro",
+  input: {
+    prompt: "Stars swirling dramatically in spiraling patterns, cypress tree swaying, clouds moving energetically",
+    start_image: "https://starry-night.jpg",
+    duration: 10,
+    aspect_ratio: "16:9"
+  }
+}
+// Result: Dramatic, visible, engaging motion
+```
+
+---
+
+## Additional Resources
+
+- Full research report: `DRAMATIC_VIDEO_MODELS_RESEARCH.json`
+- Replicate Image-to-Video Collection: https://replicate.com/collections/image-to-video
+- Replicate Lipsync Collection: https://replicate.com/collections/lipsync
+
+---
+
+## Quick Decision Tree
+
+```
+Need to animate a face?
+├─ Yes → Using audio file?
+│  ├─ Yes → sadtalker or wan-2.5-i2v
+│  └─ No → live-portrait (with driving video)
+│
+└─ No → Animating a scene?
+   ├─ Need dramatic motion? → kling-v2.5-turbo-pro
+   ├─ Need cinematic quality? → veo-3.1
+   ├─ Need human motion? → hailuo-2.3
+   └─ Need it fast/cheap? → wan-2.5-i2v-fast
+```
diff --git a/assets/intro.mp4 b/assets/intro.mp4
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diff --git a/assets/outro.mp4 b/assets/outro.mp4
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diff --git a/data/last-run.json b/data/last-run.json
new file mode 100644
index 0000000..287cde2
--- /dev/null
+++ b/data/last-run.json
@@ -0,0 +1,5 @@
+{
+  "lastPost": "2026-02-06T07:47:36.708Z",
+  "nextPost": "2026-02-06T13:47:36.708Z",
+  "updatedAt": "2026-02-06T07:47:36.708Z"
+}
\ No newline at end of file
diff --git a/data/posted-artworks.json b/data/posted-artworks.json
new file mode 100644
index 0000000..44d57fd
--- /dev/null
+++ b/data/posted-artworks.json
@@ -0,0 +1,3794 @@
+[
+  {
+    "objectNumber": "MET-454011",
+    "title": "Black Stork in a Landscape",
+    "artist": "Unknown Artist",
+    "museum": "The Metropolitan Museum of Art",
+    "tweetId": "2010286418845991253",
+    "postedAt": "2026-01-11T09:43:26.496Z"
+  },
+  {
+    "objectNumber": "MET-437869",
+    "title": "Juan de Pareja (ca. 1608–1670)",
+    "artist": "Velázquez (Diego Rodríguez de Silva y Velázquez)",
+    "museum": "The Metropolitan Museum of Art",
+    "tweetId": "2010286441734295999",
+    "postedAt": "2026-01-11T09:43:31.953Z"
+  },
+  {
+    "objectNumber": "MET-682098",
+    "title": "L'Amour dans le globe; ou, L'Almanach volant, composé de petites pièces fugitives, légères ou galantes, en prose & en vers: avac un précis historique de l'origine du globe aérostatique, des expériences du Champ-de-Mars, de Versailles, de la Muette & des Tuileries, ainsi que vers & chansons y relatifs. Le tout enrichi de figures",
+    "artist": "Chez Desnos",
+    "museum": "The Metropolitan Museum of Art",
+    "tweetId": "2010286933193441603",
+    "postedAt": "2026-01-11T09:45:29.163Z"
+  },
+  {
+    "objectNumber": "MET-853646",
+    "title": "Garden View, Brooklyn",
+    "artist": "Fidelia Bridges",
+    "museum": "The Metropolitan Museum of Art",
+    "tweetId": "2010287348689367412",
+    "postedAt": "2026-01-11T09:47:08.162Z"
+  },
+  {
+    "objectNumber": "MET-3152",
+    "title": "Desk and Bookcase",
+    "artist": "Unknown Artist",
+    "museum": "The Metropolitan Museum of Art",
+    "tweetId": "2010288011976622505",
+    "postedAt": "2026-01-11T09:49:46.216Z"
+  },
+  {
+    "objectNumber": "MET-777786",
+    "title": "Teapot",
+    "artist": "John Bartlam",
+    "museum": "The Metropolitan Museum of Art",
+    "tweetId": "2010288437451198604",
+    "postedAt": "2026-01-11T09:51:27.727Z"
+  },
+  {
+    "objectNumber": "MET-311024",
+    "title": "Nsodie (memorial head)",
+    "artist": "Akan artist",
+    "museum": "The Metropolitan Museum of Art",
+    "tweetId": "2010288879186972677",
+    "postedAt": "2026-01-11T09:53:12.965Z"
+  },
+  {
+    "objectNumber": "MET-243823",
+    "title": "Silver-gilt bowl",
+    "artist": "Unknown Artist",
+    "museum": "The Metropolitan Museum of Art",
+    "tweetId": "2010289973618962559",
+    "postedAt": "2026-01-11T09:57:33.881Z"
+  },
+  {
+    "objectNumber": "MET-39496",
+    "title": "Bird-shaped vessel",
+    "artist": "Unknown Artist",
+    "museum": "The Metropolitan Museum of Art",
+    "tweetId": "2010290199608377850",
+    "postedAt": "2026-01-11T09:58:27.737Z"
+  },
+  {
+    "objectNumber": "MET-10522",
+    "title": "Daniel Crommelin Verplanck",
+    "artist": "John Singleton Copley",
+    "museum": "The Metropolitan Museum of Art",
+    "tweetId": "2010292889985933656",
+    "postedAt": "2026-01-11T10:09:09.224Z"
+  },
+  {
+    "objectNumber": "PD-1768126164948",
+    "title": "The Great Wave off Kanagawa",
+    "artist": "Katsushika Hokusai",
+    "museum": "Public Domain Collection",
+    "tweetId": "2010293346963701798",
+    "postedAt": "2026-01-11T10:10:58.178Z"
+  },
+  {
+    "objectNumber": "MET-205116",
+    "title": "Virgin and Child",
+    "artist": "Andrea della Robbia",
+    "museum": "The Metropolitan Museum of Art",
+    "tweetId": "2010293791685554548",
+    "postedAt": "2026-01-11T10:12:44.274Z"
+  },
+  {
+    "objectNumber": "MET-325688",
+    "title": "Statuette of a female",
+    "artist": "Unknown Artist",
+    "museum": "The Metropolitan Museum of Art",
+    "tweetId": "2010296793762816319",
+    "postedAt": "2026-01-11T10:24:39.967Z"
+  },
+  {
+    "objectNumber": "MET-654264",
+    "title": "Presentation Drawing of \"The Statue of Liberty Illuminating the World\"",
+    "artist": "Frédéric-Auguste Bartholdi",
+    "museum": "The Metropolitan Museum of Art",
+    "tweetId": "2010371426654859380",
+    "postedAt": "2026-01-11T15:21:13.901Z"
+  },
+  {
+    "objectNumber": "MET-38006",
+    "title": "Portrait of the Indian Monk Atisha",
+    "artist": "Unknown Artist",
+    "museum": "The Metropolitan Museum of Art",
+    "tweetId": "2010423398309286006",
+    "postedAt": "2026-01-11T18:47:44.835Z"
+  },
+  {
+    "objectNumber": "PD-1768176000529",
+    "title": "The Starry Night",
+    "artist": "Vincent van Gogh",
+    "museum": "Public Domain Collection",
+    "tweetId": "2010502561191678382",
+    "postedAt": "2026-01-12T00:02:18.972Z"
+  },
+  {
+    "objectNumber": "MET-700240",
+    "title": "The cabinet-maker and upholsterer's guide, or, Repository of designs for every article of household furniture, in the newest and most approved taste : displaying a great variety of patterns for chairs, stools ... in the plainest and most enriched styles : with a scale to each, and an explanation in letter press : also the plan of a room, shewing the proper distribution of the furniture ... from drawings",
+    "artist": "A. Hepplewhite & Co.",
+    "museum": "The Metropolitan Museum of Art",
+    "tweetId": "2010593333475934264",
+    "postedAt": "2026-01-12T06:03:00.548Z"
+  },
+  {
+    "objectNumber": "MET-437654",
+    "title": "Circus Sideshow (Parade de cirque)",
+    "artist": "Georges Seurat",
+    "museum": "The Metropolitan Museum of Art",
+    "tweetId": "2010683760912576567",
+    "postedAt": "2026-01-12T12:02:20.205Z"
+  },
+  {
+    "objectNumber": "PD-1768240800919",
+    "title": "The Garden of Earthly Delights",
+    "artist": "Hieronymus Bosch",
+    "museum": "Public Domain Collection",
+    "tweetId": "2010774344528458239",
+    "postedAt": "2026-01-12T18:02:17.007Z"
+  },
+  {
+    "objectNumber": "MET-500709",
+    "title": "Taūs (mayuri)",
+    "artist": "Unknown Artist",
+    "museum": "The Metropolitan Museum of Art",
+    "tweetId": "2010865084415795413",
+    "postedAt": "2026-01-13T00:02:51.009Z"
+  },
+  {
+    "objectNumber": "MET-501534",
+    "title": "Transverse Flute in D-flat",
+    "artist": "Claude Laurent",
+    "museum": "The Metropolitan Museum of Art",
+    "tweetId": "2010950575219744826",
+    "postedAt": "2026-01-13T05:42:33.688Z"
+  },
+  {
+    "objectNumber": "MET-591826",
+    "title": "Vita del Tintoretto",
+    "artist": "Carlo Ridolfi",
+    "museum": "The Metropolitan Museum of Art",
+    "tweetId": "2010955625115897978",
+    "postedAt": "2026-01-13T06:02:37.677Z"
+  },
+  {
+    "objectNumber": "MET-547951",
+    "title": "Portrait of the Boy Eutyches",
+    "artist": "Unknown Artist",
+    "museum": "The Metropolitan Museum of Art",
+    "tweetId": "2010984095992447319",
+    "postedAt": "2026-01-13T07:55:46.101Z"
+  },
+  {
+    "objectNumber": "MET-249186",
+    "title": "Ivory decorative plaque",
+    "artist": "Unknown Artist",
+    "museum": "The Metropolitan Museum of Art",
+    "tweetId": "2011597472477692050",
+    "postedAt": "2026-01-15T00:33:06.428Z"
+  },
+  {
+    "objectNumber": "MET-334816",
+    "title": "Music-Making Angels",
+    "artist": "Albrecht Dürer",
+    "museum": "The Metropolitan Museum of Art",
+    "tweetId": "2011675151998279727",
+    "postedAt": "2026-01-15T05:41:46.708Z"
+  },
+  {
+    "objectNumber": "MET-323163",
+    "title": "Nude female figure",
+    "artist": "Unknown Artist",
+    "museum": "The Metropolitan Museum of Art",
+    "tweetId": "2011679770854244540",
+    "postedAt": "2026-01-15T06:00:08.001Z"
+  },
+  {
+    "objectNumber": "MET-435621",
+    "title": "Joan of Arc",
+    "artist": "Jules Bastien-Lepage",
+    "museum": "The Metropolitan Museum of Art",
+    "tweetId": "2011680702635401687",
+    "postedAt": "2026-01-15T06:03:49.496Z"
+  },
+  {
+    "objectNumber": "PD-1768462587144",
+    "title": "The Birth of Venus",
+    "artist": "Sandro Botticelli",
+    "museum": "Public Domain Collection",
+    "tweetId": "2011704017362305341",
+    "postedAt": "2026-01-15T07:36:28.358Z"
+  },
+  {
+    "objectNumber": "PD-1768465247282",
+    "title": "The Arnolfini Portrait",
+    "artist": "Jan van Eyck",
+    "museum": "Public Domain Collection",
+    "tweetId": "2011715173472506304",
+    "postedAt": "2026-01-15T08:20:48.150Z"
+  },
+  {
+    "objectNumber": "MET-543903",
+    "title": "Striding Figure",
+    "artist": "Unknown Artist",
+    "museum": "The Metropolitan Museum of Art",
+    "tweetId": "2011724821475049628",
+    "postedAt": "2026-01-15T08:59:08.701Z"
+  },
+  {
+    "objectNumber": "PD-1768471538265",
+    "title": "Liberty Leading the People",
+    "artist": "Eugène Delacroix",
+    "museum": "Public Domain Collection",
+    "tweetId": "2011741562045448428",
+    "postedAt": "2026-01-15T10:05:39.843Z"
+  },
+  {
+    "objectNumber": "MET-909780",
+    "title": "Souvenir",
+    "artist": "Unknown Artist",
+    "museum": "The Metropolitan Museum of Art",
+    "tweetId": "2011746631948152858",
+    "postedAt": "2026-01-15T10:25:48.334Z"
+  },
+  {
+    "objectNumber": "MET-50342",
+    "title": "Dish with Three Jars",
+    "artist": "Unknown Artist",
+    "museum": "The Metropolitan Museum of Art",
+    "tweetId": "2011754247163937160",
+    "postedAt": "2026-01-15T10:56:04.277Z"
+  },
+  {
+    "objectNumber": "MET-194622",
+    "title": "Drop-front secretary (Secrétaire en armoire)",
+    "artist": "Jean Henri Riesener",
+    "museum": "The Metropolitan Museum of Art",
+    "tweetId": "2011758804963377492",
+    "postedAt": "2026-01-15T11:14:11.002Z"
+  },
+  {
+    "objectNumber": "MET-459246",
+    "title": "Dish: The Destruction of the Hosts of Pharaoh",
+    "artist": "Master IC (probably Jean Court)",
+    "museum": "The Metropolitan Museum of Art",
+    "tweetId": "2011765929068413147",
+    "postedAt": "2026-01-15T11:42:29.304Z"
+  },
+  {
+    "objectNumber": "MET-192729",
+    "title": "Triton",
+    "artist": "Giambologna",
+    "museum": "The Metropolitan Museum of Art",
+    "tweetId": "2011768956013646198",
+    "postedAt": "2026-01-15T11:54:31.285Z"
+  },
+  {
+    "objectNumber": "MET-550755",
+    "title": "Naophorous Block Statue of a Governor of Sais, Psamtikseneb",
+    "artist": "Unknown Artist",
+    "museum": "The Metropolitan Museum of Art",
+    "tweetId": "2011770352133947764",
+    "postedAt": "2026-01-15T12:00:04.031Z"
+  },
+  {
+    "objectNumber": "MET-458956",
+    "title": "The Adoration of the Magi",
+    "artist": "Bartolo di Fredi",
+    "museum": "The Metropolitan Museum of Art",
+    "tweetId": "2011805986718437579",
+    "postedAt": "2026-01-15T14:21:40.198Z"
+  },
+  {
+    "objectNumber": "MET-744940",
+    "title": "Royal processions, ceremonies and entertainments",
+    "artist": "Court of King Mindon or Thibaw, or associated workshops",
+    "museum": "The Metropolitan Museum of Art",
+    "tweetId": "2011813595772752358",
+    "postedAt": "2026-01-15T14:51:54.319Z"
+  },
+  {
+    "objectNumber": "PD-1768491972903",
+    "title": "Girl with a Pearl Earring",
+    "artist": "Johannes Vermeer",
+    "museum": "Public Domain Collection",
+    "tweetId": "2011827269875253304",
+    "postedAt": "2026-01-15T15:46:14.054Z"
+  },
+  {
+    "objectNumber": "MET-824357",
+    "title": "L'œuvre complet de Rembrandt : catalogue raisonné de toutes les eaux-fortes du maître et de ses peintures",
+    "artist": "Charles Blanc",
+    "museum": "The Metropolitan Museum of Art",
+    "tweetId": "2011849593613664498",
+    "postedAt": "2026-01-15T17:14:56.573Z"
+  },
+  {
+    "objectNumber": "MET-459038",
+    "title": "Portrait of a Woman, possibly Ginevra d'Antonio Lupari Gozzadini",
+    "artist": "Maestro delle Storie del Pane",
+    "museum": "The Metropolitan Museum of Art",
+    "tweetId": "2011851115881762841",
+    "postedAt": "2026-01-15T17:20:59.731Z"
+  },
+  {
+    "objectNumber": "MET-921065",
+    "title": "Portrait of Nicolás Matías Fernández Méndez",
+    "artist": "José Campeche",
+    "museum": "The Metropolitan Museum of Art",
+    "tweetId": "2011858250212524164",
+    "postedAt": "2026-01-15T17:49:20.751Z"
+  },
+  {
+    "objectNumber": "MET-464125",
+    "title": "Box with Romance Scenes",
+    "artist": "Unknown Artist",
+    "museum": "The Metropolitan Museum of Art",
+    "tweetId": "2011860969903780284",
+    "postedAt": "2026-01-15T18:00:09.043Z"
+  },
+  {
+    "objectNumber": "MET-38267",
+    "title": "Head of a Buddha",
+    "artist": "Unknown Artist",
+    "museum": "The Metropolitan Museum of Art",
+    "tweetId": "2011861315740995590",
+    "postedAt": "2026-01-15T18:01:31.971Z"
+  },
+  {
+    "objectNumber": "PD-1768506483544",
+    "title": "The Night Watch",
+    "artist": "Rembrandt van Rijn",
+    "museum": "Public Domain Collection",
+    "tweetId": "2011888132585619773",
+    "postedAt": "2026-01-15T19:48:04.884Z"
+  },
+  {
+    "objectNumber": "MET-322608",
+    "title": "Human-headed winged bull (lamassu)",
+    "artist": "Unknown Artist",
+    "museum": "The Metropolitan Museum of Art",
+    "tweetId": "2011914016546046113",
+    "postedAt": "2026-01-15T21:30:56.385Z"
+  },
+  {
+    "objectNumber": "MET-22876",
+    "title": "Shield for the Field or Tournament (Targe)",
+    "artist": "Unknown Artist",
+    "museum": "The Metropolitan Museum of Art",
+    "tweetId": "2011951548948262943",
+    "postedAt": "2026-01-16T00:00:04.731Z"
+  },
+  {
+    "objectNumber": "MET-27936",
+    "title": "Helmet",
+    "artist": "Unknown Artist",
+    "museum": "The Metropolitan Museum of Art",
+    "tweetId": "2011953572628295819",
+    "postedAt": "2026-01-16T00:08:07.009Z"
+  },
+  {
+    "objectNumber": "MET-79048",
+    "title": "Suit",
+    "artist": "Unknown Artist",
+    "museum": "The Metropolitan Museum of Art",
+    "tweetId": "2011955638864105495",
+    "postedAt": "2026-01-16T00:16:19.795Z"
+  },
+  {
+    "objectNumber": "MET-449330",
+    "title": "Bowl with Inscription, \"Sovereignty is God's\"",
+    "artist": "Unknown Artist",
+    "museum": "The Metropolitan Museum of Art",
+    "tweetId": "2011991630937481584",
+    "postedAt": "2026-01-16T02:39:21.111Z"
+  },
+  {
+    "objectNumber": "MET-312677",
+    "title": "Feathered panel",
+    "artist": "Wari artist(s)",
+    "museum": "The Metropolitan Museum of Art",
+    "tweetId": "2012008867908247796",
+    "postedAt": "2026-01-16T03:47:50.636Z"
+  },
+  {
+    "objectNumber": "PD-1768536352019",
+    "title": "The Birth of Venus",
+    "artist": "Sandro Botticelli",
+    "museum": "Public Domain Collection",
+    "tweetId": "2012013414583832837",
+    "postedAt": "2026-01-16T04:05:54.424Z"
+  },
+  {
+    "objectNumber": "MET-256975",
+    "title": "Ganymede jewelry",
+    "artist": "Unknown Artist",
+    "museum": "The Metropolitan Museum of Art",
+    "tweetId": "2012024581939437632",
+    "postedAt": "2026-01-16T04:50:17.057Z"
+  },
+  {
+    "objectNumber": "MET-544692",
+    "title": "Haremhab as a Scribe of the King",
+    "artist": "Unknown Artist",
+    "museum": "The Metropolitan Museum of Art",
+    "tweetId": "2012028636631875860",
+    "postedAt": "2026-01-16T05:06:23.818Z"
+  },
+  {
+    "objectNumber": "MET-544498",
+    "title": "Sphinx of Amenhotep III, possibly from a Model of a Temple",
+    "artist": "Unknown Artist",
+    "museum": "The Metropolitan Museum of Art",
+    "tweetId": "2012042156471665001",
+    "postedAt": "2026-01-16T06:00:07.179Z"
+  },
+  {
+    "objectNumber": "MET-909994",
+    "title": "Locking box in book form",
+    "artist": "Unknown Artist",
+    "museum": "The Metropolitan Museum of Art",
+    "tweetId": "2012049420087685623",
+    "postedAt": "2026-01-16T06:28:58.683Z"
+  },
+  {
+    "objectNumber": "MET-24671",
+    "title": "Armor of Henry II, King of France (reigned 1547–59)",
+    "artist": "Jean Cousin the Elder",
+    "museum": "The Metropolitan Museum of Art",
+    "tweetId": "2012083909937295638",
+    "postedAt": "2026-01-16T08:46:02.010Z"
+  },
+  {
+    "objectNumber": "PD-1768559807037",
+    "title": "The Night Watch",
+    "artist": "Rembrandt van Rijn",
+    "museum": "Public Domain Collection",
+    "tweetId": "2012111786619891955",
+    "postedAt": "2026-01-16T10:36:48.127Z"
+  },
+  {
+    "objectNumber": "MET-22739",
+    "title": "Mask",
+    "artist": "Myōchin Muneakira",
+    "museum": "The Metropolitan Museum of Art",
+    "tweetId": "2012121462552117412",
+    "postedAt": "2026-01-16T11:15:15.465Z"
+  },
+  {
+    "objectNumber": "MET-209028",
+    "title": "Monteith with the Gibbs and Nelthorpe coats of arms",
+    "artist": "Unknown Artist",
+    "museum": "The Metropolitan Museum of Art",
+    "tweetId": "2012127021032513749",
+    "postedAt": "2026-01-16T11:37:20.995Z"
+  },
+  {
+    "objectNumber": "MET-325562",
+    "title": "Furniture element carved in the round with the head of a roaring lion",
+    "artist": "Unknown Artist",
+    "museum": "The Metropolitan Museum of Art",
+    "tweetId": "2012132737818468626",
+    "postedAt": "2026-01-16T12:00:03.573Z"
+  },
+  {
+    "objectNumber": "MET-22387",
+    "title": "Double-Barreled Wheellock Pistol Made for Emperor Charles V (reigned 1519–56)",
+    "artist": "Peter Peck",
+    "museum": "The Metropolitan Museum of Art",
+    "tweetId": "2012140691850482142",
+    "postedAt": "2026-01-16T12:31:40.020Z"
+  },
+  {
+    "objectNumber": "MET-545870",
+    "title": "Statuette of Kary carrying a standard of Horus",
+    "artist": "Unknown Artist",
+    "museum": "The Metropolitan Museum of Art",
+    "tweetId": "2012146269842706943",
+    "postedAt": "2026-01-16T12:53:49.881Z"
+  },
+  {
+    "objectNumber": "MET-322485",
+    "title": "Belt adornment with an eagle and its prey",
+    "artist": "Unknown Artist",
+    "museum": "The Metropolitan Museum of Art",
+    "tweetId": "2012147281253061055",
+    "postedAt": "2026-01-16T12:57:50.996Z"
+  },
+  {
+    "objectNumber": "MET-38468",
+    "title": "Patravahaka yaksha",
+    "artist": "Unknown Artist",
+    "museum": "The Metropolitan Museum of Art",
+    "tweetId": "2012156412663681147",
+    "postedAt": "2026-01-16T13:34:08.390Z"
+  },
+  {
+    "objectNumber": "MET-199674",
+    "title": "The Holy Family with Saints Anne and Joachim",
+    "artist": "Diego de Pesquera",
+    "museum": "The Metropolitan Museum of Art",
+    "tweetId": "2012158476831817829",
+    "postedAt": "2026-01-16T13:42:20.271Z"
+  },
+  {
+    "objectNumber": "MET-359320",
+    "title": "Nocturne: Palaces",
+    "artist": "James McNeill Whistler",
+    "museum": "The Metropolitan Museum of Art",
+    "tweetId": "2012196475271594108",
+    "postedAt": "2026-01-16T16:13:19.822Z"
+  },
+  {
+    "objectNumber": "MET-311294",
+    "title": "Ancestor figure",
+    "artist": "Kambot artist",
+    "museum": "The Metropolitan Museum of Art",
+    "tweetId": "2012197491454656610",
+    "postedAt": "2026-01-16T16:17:22.098Z"
+  },
+  {
+    "objectNumber": "PD-1768586400456",
+    "title": "Las Meninas",
+    "artist": "Diego Velázquez",
+    "museum": "Public Domain Collection",
+    "tweetId": "2012223330225655848",
+    "postedAt": "2026-01-16T18:00:02.102Z"
+  },
+  {
+    "objectNumber": "MET-65397",
+    "title": "Pensive bodhisattva",
+    "artist": "Unknown Artist",
+    "museum": "The Metropolitan Museum of Art",
+    "tweetId": "2012229451254526251",
+    "postedAt": "2026-01-16T18:24:21.695Z"
+  },
+  {
+    "objectNumber": "MET-312231",
+    "title": "Aduno Koro (Ark of the World) vessel with ancestral figures",
+    "artist": "Dogon blacksmith",
+    "museum": "The Metropolitan Museum of Art",
+    "tweetId": "2012242129851199502",
+    "postedAt": "2026-01-16T19:14:44.592Z"
+  },
+  {
+    "objectNumber": "MET-544184",
+    "title": "Face of Senwosret III",
+    "artist": "Unknown Artist",
+    "museum": "The Metropolitan Museum of Art",
+    "tweetId": "2012262434396872772",
+    "postedAt": "2026-01-16T20:35:25.719Z"
+  },
+  {
+    "objectNumber": "MET-39021",
+    "title": "The Transcendent Buddha Vairochana (?) Seated in Western Fashion",
+    "artist": "Unknown Artist",
+    "museum": "The Metropolitan Museum of Art",
+    "tweetId": "2012266050713194645",
+    "postedAt": "2026-01-16T20:49:47.619Z"
+  },
+  {
+    "objectNumber": "MET-471884",
+    "title": "Saint James the Greater",
+    "artist": "Gil de Siloe",
+    "museum": "The Metropolitan Museum of Art",
+    "tweetId": "2012266998089007245",
+    "postedAt": "2026-01-16T20:53:33.681Z"
+  },
+  {
+    "objectNumber": "PD-1768599229155",
+    "title": "The Night Watch",
+    "artist": "Rembrandt van Rijn",
+    "museum": "Public Domain Collection",
+    "tweetId": "2012277134895526126",
+    "postedAt": "2026-01-16T21:33:50.281Z"
+  },
+  {
+    "objectNumber": "MET-545281",
+    "title": "Model of a Granary with Scribes",
+    "artist": "Unknown Artist",
+    "museum": "The Metropolitan Museum of Art",
+    "tweetId": "2012310648525316296",
+    "postedAt": "2026-01-16T23:47:00.906Z"
+  },
+  {
+    "objectNumber": "MET-501520",
+    "title": "Alto Recorder in F",
+    "artist": "Johann Benedikt Gahn",
+    "museum": "The Metropolitan Museum of Art",
+    "tweetId": "2012313683993489803",
+    "postedAt": "2026-01-16T23:59:04.358Z"
+  },
+  {
+    "objectNumber": "MET-37397",
+    "title": "Ganesha",
+    "artist": "Unknown Artist",
+    "museum": "The Metropolitan Museum of Art",
+    "tweetId": "2012313983617769640",
+    "postedAt": "2026-01-17T00:00:16.020Z"
+  },
+  {
+    "objectNumber": "MET-755777",
+    "title": "Explication des tableaux de la galerie de Versailles, et de ses deux sallons",
+    "artist": "Pierre Rainssant",
+    "museum": "The Metropolitan Museum of Art",
+    "tweetId": "2012351764251419034",
+    "postedAt": "2026-01-17T02:30:23.753Z"
+  },
+  {
+    "objectNumber": "MET-282163",
+    "title": "Saint-Maclou, Rouen",
+    "artist": "Edmond Bacot",
+    "museum": "The Metropolitan Museum of Art",
+    "tweetId": "2012404533402415415",
+    "postedAt": "2026-01-17T06:00:04.876Z"
+  },
+  {
+    "objectNumber": "MET-446563",
+    "title": "\"A Muslim Pilgrim Learns a Lesson in Piety from a Brahman\", Folio from a Khamsa (Quintet) of Amir Khusrau Dihlavi",
+    "artist": "Amir Khusrau Dihlavi",
+    "museum": "The Metropolitan Museum of Art",
+    "tweetId": "2012419647241695247",
+    "postedAt": "2026-01-17T07:00:08.053Z"
+  },
+  {
+    "objectNumber": "MET-37788",
+    "title": "Devananda's Fourteen Auspicious Dreams Foretelling the Birth of Mahavira: Folio from a Kalpasutra Manuscript",
+    "artist": "Master of the Jaunpur Kalpasutra",
+    "museum": "The Metropolitan Museum of Art",
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+  },
+  {
+    "objectNumber": "MET-591863",
+    "title": "Catalogue of the Collection of Jewels and Precious Works of Art, the Property of  J. Pierpont Morgan",
+    "artist": "George Charles Williamson",
+    "museum": "The Metropolitan Museum of Art",
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+    "postedAt": "2026-01-17T08:22:48.690Z"
+  },
+  {
+    "objectNumber": "MET-626692",
+    "title": "The Jabach Family",
+    "artist": "Charles Le Brun",
+    "museum": "The Metropolitan Museum of Art",
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+    "postedAt": "2026-01-17T08:46:57.135Z"
+  },
+  {
+    "objectNumber": "PD-1768639974250",
+    "title": "Sunflowers",
+    "artist": "Vincent van Gogh",
+    "museum": "Public Domain Collection",
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+    "postedAt": "2026-01-17T08:52:55.209Z"
+  },
+  {
+    "objectNumber": "MET-337487",
+    "title": "Otto, Count of Nassau and his Wife Adelheid van Vianen",
+    "artist": "Bernard van Orley",
+    "museum": "The Metropolitan Museum of Art",
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+    "postedAt": "2026-01-17T09:07:14.190Z"
+  },
+  {
+    "objectNumber": "PD-1768644931788",
+    "title": "The Birth of Venus",
+    "artist": "Sandro Botticelli",
+    "museum": "Public Domain Collection",
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+  {
+    "objectNumber": "MET-467733",
+    "title": "Mirror Case",
+    "artist": "Unknown Artist",
+    "museum": "The Metropolitan Museum of Art",
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+  },
+  {
+    "objectNumber": "PD-1768651200449",
+    "title": "The Great Wave off Kanagawa",
+    "artist": "Katsushika Hokusai",
+    "museum": "Public Domain Collection",
+    "tweetId": "2012495122487767451",
+    "postedAt": "2026-01-17T12:00:02.598Z"
+  },
+  {
+    "objectNumber": "PD-1768653517972",
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+    "artist": "Diego Velázquez",
+    "museum": "Public Domain Collection",
+    "tweetId": "2012504839159488917",
+    "postedAt": "2026-01-17T12:38:39.216Z"
+  },
+  {
+    "objectNumber": "MET-247009",
+    "title": "Wall painting from Room H of the Villa of P. Fannius Synistor at Boscoreale",
+    "artist": "Unknown Artist",
+    "museum": "The Metropolitan Museum of Art",
+    "tweetId": "2012510437586416086",
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+  },
+  {
+    "objectNumber": "MET-316442",
+    "title": "Lidded saltcellar",
+    "artist": "Temne or Bullom artist(s)",
+    "museum": "The Metropolitan Museum of Art",
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+  },
+  {
+    "objectNumber": "MET-547556",
+    "title": "Inlay of the Horus falcon on the hieroglyph for \"gold\"",
+    "artist": "Unknown Artist",
+    "museum": "The Metropolitan Museum of Art",
+    "tweetId": "2012522099362128226",
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+  },
+  {
+    "objectNumber": "MET-451995",
+    "title": "Brasero",
+    "artist": "Unknown Artist",
+    "museum": "The Metropolitan Museum of Art",
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+    "postedAt": "2026-01-17T14:11:22.521Z"
+  },
+  {
+    "objectNumber": "MET-447000",
+    "title": "Mosque Lamp for the Mausoleum of Amir Aydakin al-'Ala'i al-Bunduqdar",
+    "artist": "Unknown Artist",
+    "museum": "The Metropolitan Museum of Art",
+    "tweetId": "2012538843199852557",
+    "postedAt": "2026-01-17T14:53:46.489Z"
+  },
+  {
+    "objectNumber": "PD-1768662103859",
+    "title": "The Great Wave off Kanagawa",
+    "artist": "Katsushika Hokusai",
+    "museum": "Public Domain Collection",
+    "tweetId": "2012540854666465372",
+    "postedAt": "2026-01-17T15:01:46.082Z"
+  },
+  {
+    "objectNumber": "MET-36457",
+    "title": "Grapevine in the Wind",
+    "artist": "Unidentified artist",
+    "museum": "The Metropolitan Museum of Art",
+    "tweetId": "2012585727259791530",
+    "postedAt": "2026-01-17T18:00:04.855Z"
+  },
+  {
+    "objectNumber": "MET-504210",
+    "title": "Cittern",
+    "artist": "Joachim Tielke",
+    "museum": "The Metropolitan Museum of Art",
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+  },
+  {
+    "objectNumber": "MET-437430",
+    "title": "By the Seashore",
+    "artist": "Auguste Renoir",
+    "museum": "The Metropolitan Museum of Art",
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+    "postedAt": "2026-01-17T19:59:59.113Z"
+  },
+  {
+    "objectNumber": "MET-918235",
+    "title": "Carrelages & pavages céramiques : manufacture DeFrance et Comp.ie à Pont Ste. Maxence (Oise)",
+    "artist": "Defrance et Cie.",
+    "museum": "The Metropolitan Museum of Art",
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+    "postedAt": "2026-01-17T20:16:10.822Z"
+  },
+  {
+    "objectNumber": "MET-50897",
+    "title": "Evening bell from mist-shrouded temple (left); Autumn moon over Lake Dongting (right)",
+    "artist": "An Gyeon",
+    "museum": "The Metropolitan Museum of Art",
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+    "postedAt": "2026-01-17T23:03:29.946Z"
+  },
+  {
+    "objectNumber": "MET-271885",
+    "title": "Two Pupils in Greek Dress",
+    "artist": "Thomas Eakins",
+    "museum": "The Metropolitan Museum of Art",
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+    "postedAt": "2026-01-17T23:45:50.181Z"
+  },
+  {
+    "objectNumber": "MET-438815",
+    "title": "Madame Georges Charpentier (Marguerite-Louise Lemonnier, 1848–1904) and Her Children, Georgette-Berthe (1872–1945) and Paul-Emile-Charles (1875–1895)",
+    "artist": "Auguste Renoir",
+    "museum": "The Metropolitan Museum of Art",
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+    "postedAt": "2026-01-18T00:00:08.685Z"
+  },
+  {
+    "objectNumber": "MET-591852",
+    "title": "Incidents of Travel in Central America, Chiapas, and Yucatan",
+    "artist": "John Lloyd Stephens",
+    "museum": "The Metropolitan Museum of Art",
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+    "postedAt": "2026-01-18T00:03:58.943Z"
+  },
+  {
+    "objectNumber": "MET-459062",
+    "title": "Archangel Gabriel; The Virgin Annunciate",
+    "artist": "Gerard David",
+    "museum": "The Metropolitan Museum of Art",
+    "tweetId": "2012696073916006414",
+    "postedAt": "2026-01-18T01:18:33.434Z"
+  },
+  {
+    "objectNumber": "MET-195473",
+    "title": "Coin cabinet",
+    "artist": "Charles Percier",
+    "museum": "The Metropolitan Museum of Art",
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+    "postedAt": "2026-01-18T02:13:08.146Z"
+  },
+  {
+    "objectNumber": "MET-543901",
+    "title": "Nikare with his Wife and Daughter",
+    "artist": "Unknown Artist",
+    "museum": "The Metropolitan Museum of Art",
+    "tweetId": "2012731100057964690",
+    "postedAt": "2026-01-18T03:37:44.117Z"
+  },
+  {
+    "objectNumber": "MET-459189",
+    "title": "Landscape with Stars",
+    "artist": "Henri-Edmond Cross (Henri-Edmond Delacroix)",
+    "museum": "The Metropolitan Museum of Art",
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+  {
+    "objectNumber": "MET-459245",
+    "title": "Armorial dish: Supper at the House of Simon the Pharisee",
+    "artist": "Maestro Giorgio Andreoli",
+    "museum": "The Metropolitan Museum of Art",
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+    "postedAt": "2026-01-18T04:58:15.542Z"
+  },
+  {
+    "objectNumber": "MET-459052",
+    "title": "A Goldsmith in his Shop",
+    "artist": "Petrus Christus",
+    "museum": "The Metropolitan Museum of Art",
+    "tweetId": "2012754999814537373",
+    "postedAt": "2026-01-18T05:12:43.061Z"
+  },
+  {
+    "objectNumber": "MET-700091",
+    "title": "The grammar of ornament",
+    "artist": "Owen Jones",
+    "museum": "The Metropolitan Museum of Art",
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+    "postedAt": "2026-01-18T06:00:13.667Z"
+  },
+  {
+    "objectNumber": "MET-910059",
+    "title": "Box in the form of a book",
+    "artist": "Unknown Artist",
+    "museum": "The Metropolitan Museum of Art",
+    "tweetId": "2012778800237457545",
+    "postedAt": "2026-01-18T06:47:17.263Z"
+  },
+  {
+    "objectNumber": "MET-256846",
+    "title": "Terracotta dinos (mixing bowl)",
+    "artist": "Polyteleia Painter",
+    "museum": "The Metropolitan Museum of Art",
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+    "postedAt": "2026-01-18T07:11:15.131Z"
+  },
+  {
+    "objectNumber": "MET-38945",
+    "title": "Hanuman Conversing",
+    "artist": "Unknown Artist",
+    "museum": "The Metropolitan Museum of Art",
+    "tweetId": "2012798492750815452",
+    "postedAt": "2026-01-18T08:05:31.989Z"
+  },
+  {
+    "objectNumber": "MET-255973",
+    "title": "Statue of Dionysos leaning on a female figure (\"Hope Dionysos\")",
+    "artist": "Pacetti, Vincenzo",
+    "museum": "The Metropolitan Museum of Art",
+    "tweetId": "2012809632146936150",
+    "postedAt": "2026-01-18T08:49:47.861Z"
+  },
+  {
+    "objectNumber": "PD-1768734038220",
+    "title": "Las Meninas",
+    "artist": "Diego Velázquez",
+    "museum": "Public Domain Collection",
+    "tweetId": "2012842565431693692",
+    "postedAt": "2026-01-18T11:00:39.334Z"
+  },
+  {
+    "objectNumber": "MET-503678",
+    "title": "Square Piano",
+    "artist": "Robert Nunns",
+    "museum": "The Metropolitan Museum of Art",
+    "tweetId": "2012848652335661320",
+    "postedAt": "2026-01-18T11:24:50.909Z"
+  },
+  {
+    "objectNumber": "MET-889442",
+    "title": "Jewel casket",
+    "artist": "Unknown Artist",
+    "museum": "The Metropolitan Museum of Art",
+    "tweetId": "2012853247715991736",
+    "postedAt": "2026-01-18T11:43:06.851Z"
+  },
+  {
+    "objectNumber": "MET-323178",
+    "title": "Relief: two servants bearing food and drink",
+    "artist": "Unknown Artist",
+    "museum": "The Metropolitan Museum of Art",
+    "tweetId": "2012856265106747458",
+    "postedAt": "2026-01-18T11:55:06.098Z"
+  },
+  {
+    "objectNumber": "MET-544864",
+    "title": "Statuette of a hippo goddess, probably Taweret",
+    "artist": "Unknown Artist",
+    "museum": "The Metropolitan Museum of Art",
+    "tweetId": "2012857515168665715",
+    "postedAt": "2026-01-18T12:00:03.801Z"
+  },
+  {
+    "objectNumber": "MET-202192",
+    "title": "Potpourri vase (pot-pourri gondole)",
+    "artist": "Sèvres Manufactory",
+    "museum": "The Metropolitan Museum of Art",
+    "tweetId": "2012861334996795640",
+    "postedAt": "2026-01-18T12:15:14.850Z"
+  },
+  {
+    "objectNumber": "MET-504256",
+    "title": "Transverse Flute",
+    "artist": "Garion",
+    "museum": "The Metropolitan Museum of Art",
+    "tweetId": "2012878574756491690",
+    "postedAt": "2026-01-18T13:23:45.011Z"
+  },
+  {
+    "objectNumber": "MET-444408",
+    "title": "Astrolabe of ‘Umar ibn Yusuf ibn ‘Umar ibn ‘Ali ibn Rasul al-Muzaffari",
+    "artist": "‘Umar ibn Yusuf ibn ‘Umar ibn ‘Ali ibn Rasul al-Muzaffari",
+    "museum": "The Metropolitan Museum of Art",
+    "tweetId": "2012892283214147593",
+    "postedAt": "2026-01-18T14:18:13.405Z"
+  },
+  {
+    "objectNumber": "MET-459007",
+    "title": "The Nativity",
+    "artist": "Lorenzo Monaco (Piero di Giovanni)",
+    "museum": "The Metropolitan Museum of Art",
+    "tweetId": "2012915117269090400",
+    "postedAt": "2026-01-18T15:48:57.561Z"
+  },
+  {
+    "objectNumber": "MET-22860",
+    "title": "Sallet in the Shape of a Lion's Head",
+    "artist": "Unknown Artist",
+    "museum": "The Metropolitan Museum of Art",
+    "tweetId": "2012919196443889853",
+    "postedAt": "2026-01-18T16:05:09.801Z"
+  },
+  {
+    "objectNumber": "MET-313654",
+    "title": "Male figure (tiki) representing the deity Rongo",
+    "artist": "Unknown Artist",
+    "museum": "The Metropolitan Museum of Art",
+    "tweetId": "2012920699661480135",
+    "postedAt": "2026-01-18T16:11:08.171Z"
+  },
+  {
+    "objectNumber": "MET-680832",
+    "title": "Anthologie françoise, ou, Chansons choisies, depuis le 13a siècle jusqu'à présent",
+    "artist": "Jean Monnet",
+    "museum": "The Metropolitan Museum of Art",
+    "tweetId": "2012927798910820551",
+    "postedAt": "2026-01-18T16:39:21.046Z"
+  },
+  {
+    "objectNumber": "PD-1768755808618",
+    "title": "Las Meninas",
+    "artist": "Diego Velázquez",
+    "museum": "Public Domain Collection",
+    "tweetId": "2012933880928760023",
+    "postedAt": "2026-01-18T17:03:30.687Z"
+  },
+  {
+    "objectNumber": "MET-912357",
+    "title": "The art of the Saracens in Egypt",
+    "artist": "Stanley Lane-Poole",
+    "museum": "The Metropolitan Museum of Art",
+    "tweetId": "2012944555361075538",
+    "postedAt": "2026-01-18T17:45:56.054Z"
+  },
+  {
+    "objectNumber": "MET-591832",
+    "title": "Academie de l'espee; ou se domonstrent par reigles mathématiques sur le fondement d'un cercle mystérieux, la théorie et pratique des vrais . . .",
+    "artist": "Girard Thibault",
+    "museum": "The Metropolitan Museum of Art",
+    "tweetId": "2012948122356380123",
+    "postedAt": "2026-01-18T18:00:06.165Z"
+  },
+  {
+    "objectNumber": "MET-485518",
+    "title": "Antigraceful",
+    "artist": "Umberto Boccioni",
+    "museum": "The Metropolitan Museum of Art",
+    "tweetId": "2012983586916577575",
+    "postedAt": "2026-01-18T20:21:01.992Z"
+  },
+  {
+    "objectNumber": "MET-705290",
+    "title": "Bo gu tu",
+    "artist": "Fu Wang",
+    "museum": "The Metropolitan Museum of Art",
+    "tweetId": "2012987141253472563",
+    "postedAt": "2026-01-18T20:35:09.172Z"
+  },
+  {
+    "objectNumber": "MET-437487",
+    "title": "Francesco d'Este (born ca. 1429, died after 1486)",
+    "artist": "Rogier van der Weyden",
+    "museum": "The Metropolitan Museum of Art",
+    "tweetId": "2013006908026720438",
+    "postedAt": "2026-01-18T21:53:41.521Z"
+  },
+  {
+    "objectNumber": "MET-699505",
+    "title": "Dialogos de la pintvra : sv defensa, origen, essecia, definicion, modos y diferencias",
+    "artist": "Vicente Carducho",
+    "museum": "The Metropolitan Museum of Art",
+    "tweetId": "2013018076615414227",
+    "postedAt": "2026-01-18T22:38:04.897Z"
+  },
+  {
+    "objectNumber": "MET-37557",
+    "title": "Bottle with Birds and Peony Scroll",
+    "artist": "Unknown Artist",
+    "museum": "The Metropolitan Museum of Art",
+    "tweetId": "2013032307280535726",
+    "postedAt": "2026-01-18T23:34:37.587Z"
+  },
+  {
+    "objectNumber": "MET-466296",
+    "title": "Tip of a Pointer",
+    "artist": "Unknown Artist",
+    "museum": "The Metropolitan Museum of Art",
+    "tweetId": "2013035827606225377",
+    "postedAt": "2026-01-18T23:48:37.007Z"
+  },
+  {
+    "objectNumber": "MET-436121",
+    "title": "A Woman Seated beside a Vase of Flowers (Madame Paul Valpinçon?)",
+    "artist": "Edgar Degas",
+    "museum": "The Metropolitan Museum of Art",
+    "tweetId": "2013038725673144401",
+    "postedAt": "2026-01-19T00:00:08.553Z"
+  },
+  {
+    "objectNumber": "MET-896001",
+    "title": "Willow trees at a brook",
+    "artist": "Emilie Mediz-Pelikan",
+    "museum": "The Metropolitan Museum of Art",
+    "tweetId": "2013052153653256310",
+    "postedAt": "2026-01-19T00:53:29.825Z"
+  },
+  {
+    "objectNumber": "PD-1768785434034",
+    "title": "Las Meninas",
+    "artist": "Diego Velázquez",
+    "museum": "Public Domain Collection",
+    "tweetId": "2013058164602667019",
+    "postedAt": "2026-01-19T01:17:22.182Z"
+  },
+  {
+    "objectNumber": "MET-459201",
+    "title": "Watch",
+    "artist": "Jacques Goullons",
+    "museum": "The Metropolitan Museum of Art",
+    "tweetId": "2013072376481603888",
+    "postedAt": "2026-01-19T02:13:50.532Z"
+  },
+  {
+    "objectNumber": "MET-39887",
+    "title": "Brahma with Attendants and Musicians",
+    "artist": "Unidentified artist",
+    "museum": "The Metropolitan Museum of Art",
+    "tweetId": "2013074383204389142",
+    "postedAt": "2026-01-19T02:21:49.618Z"
+  },
+  {
+    "objectNumber": "MET-38926",
+    "title": "Reliquary in the Shape of a Stupa",
+    "artist": "Unknown Artist",
+    "museum": "The Metropolitan Museum of Art",
+    "tweetId": "2013121594088992823",
+    "postedAt": "2026-01-19T05:29:25.257Z"
+  },
+  {
+    "objectNumber": "MET-201895",
+    "title": "Madame de Wailly, née Adélaïde-Flore Belleville (1765–1838)",
+    "artist": "Augustin Pajou",
+    "museum": "The Metropolitan Museum of Art",
+    "tweetId": "2013129402117161077",
+    "postedAt": "2026-01-19T06:00:26.845Z"
+  },
+  {
+    "objectNumber": "MET-466096",
+    "title": "Opus Anglicanum (Chasuble)",
+    "artist": "Unknown Artist",
+    "museum": "The Metropolitan Museum of Art",
+    "tweetId": "2013143860919009756",
+    "postedAt": "2026-01-19T06:57:54.202Z"
+  },
+  {
+    "objectNumber": "MET-395485",
+    "title": "Jupiter and Juno: Study for the \"Furti di Giove\" Tapestries",
+    "artist": "Perino del Vaga (Pietro Buonaccorsi)",
+    "museum": "The Metropolitan Museum of Art",
+    "tweetId": "2013151962267619637",
+    "postedAt": "2026-01-19T07:30:05.887Z"
+  },
+  {
+    "objectNumber": "MET-458961",
+    "title": "The Coronation of the Virgin",
+    "artist": "Niccolò di Buonaccorso",
+    "museum": "The Metropolitan Museum of Art",
+    "tweetId": "2013168170614522042",
+    "postedAt": "2026-01-19T08:34:29.504Z"
+  },
+  {
+    "objectNumber": "MET-310870",
+    "title": "Eyema byeri (reliquary guardian figure)",
+    "artist": "Okak-Fang artist",
+    "museum": "The Metropolitan Museum of Art",
+    "tweetId": "2013182374272790603",
+    "postedAt": "2026-01-19T09:30:56.493Z"
+  },
+  {
+    "objectNumber": "MET-448183",
+    "title": "\"Krishna Holds Up Mount Govardhan to Shelter the Villagers of Braj\", Folio from a Harivamsa (The Legend of Hari (Krishna))",
+    "artist": "Unknown Artist",
+    "museum": "The Metropolitan Museum of Art",
+    "tweetId": "2013196060248911941",
+    "postedAt": "2026-01-19T10:25:19.650Z"
+  },
+  {
+    "objectNumber": "MET-469856",
+    "title": "Saint Nicholas Accuses the Consul from Scenes from the Life of Saint Nicholas",
+    "artist": "Unknown Artist",
+    "museum": "The Metropolitan Museum of Art",
+    "tweetId": "2013219899242668455",
+    "postedAt": "2026-01-19T12:00:02.962Z"
+  },
+  {
+    "objectNumber": "MET-254649",
+    "title": "Terracotta column-krater (bowl for mixing wine and water)",
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+    "title": "Colt Third Model Dragoon Percussion Revolver, serial no. 12406",
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+    "title": "Illustrated Legends of the Kitano Tenjin Shrine (Kitano Tenjin engi emaki)",
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+  {
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+  {
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+  {
+    "objectNumber": "MET-316393",
+    "title": "Plaque with Warrior and Attendants",
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+  {
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+  },
+  {
+    "objectNumber": "MET-254825",
+    "title": "Bronze statuette of a rider wearing an elephant skin",
+    "artist": "Unknown Artist",
+    "museum": "The Metropolitan Museum of Art",
+    "tweetId": "2014052669187559437",
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+  {
+    "objectNumber": "MET-446990",
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+  },
+  {
+    "objectNumber": "MET-468716",
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+  },
+  {
+    "objectNumber": "MET-459241",
+    "title": "At the Circus: The Spanish Walk (Au Cirque: Le Pas espagnol)",
+    "artist": "Henri de Toulouse-Lautrec",
+    "museum": "The Metropolitan Museum of Art",
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+    "postedAt": "2026-01-26T12:12:26.017Z"
+  },
+  {
+    "objectNumber": "MET-39918",
+    "title": "Biographies of Lian Po and Lin Xiangru",
+    "artist": "Huang Tingjian",
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+    "postedAt": "2026-01-26T12:34:36.310Z"
+  },
+  {
+    "objectNumber": "MET-544118",
+    "title": "Cat Statuette intended to contain a mummified cat",
+    "artist": "Unknown Artist",
+    "museum": "The Metropolitan Museum of Art",
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+    "postedAt": "2026-01-26T12:48:41.428Z"
+  },
+  {
+    "objectNumber": "MET-42733",
+    "title": "Buddha Maitreya (Mile)",
+    "artist": "Unknown Artist",
+    "museum": "The Metropolitan Museum of Art",
+    "tweetId": "2015787621050687958",
+    "postedAt": "2026-01-26T14:03:15.793Z"
+  },
+  {
+    "objectNumber": "MET-503443",
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+    "artist": "Joachim Tielke",
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+  },
+  {
+    "objectNumber": "MET-75414",
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+    "artist": "Unknown Artist",
+    "museum": "The Metropolitan Museum of Art",
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+    "postedAt": "2026-01-26T22:43:22.923Z"
+  },
+  {
+    "objectNumber": "MET-459227",
+    "title": "Emperor Vespasian Cured by Veronica's Veil",
+    "artist": "Unknown Artist",
+    "museum": "The Metropolitan Museum of Art",
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+    "postedAt": "2026-01-26T23:24:00.721Z"
+  },
+  {
+    "objectNumber": "MET-453336",
+    "title": "A Stallion",
+    "artist": "Habiballah of Sava",
+    "museum": "The Metropolitan Museum of Art",
+    "tweetId": "2015937841327751486",
+    "postedAt": "2026-01-27T00:00:10.888Z"
+  },
+  {
+    "objectNumber": "MET-910031",
+    "title": "Spruce gum box, ER. PQ",
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+    "museum": "The Metropolitan Museum of Art",
+    "tweetId": "2015941895290290364",
+    "postedAt": "2026-01-27T00:16:18.186Z"
+  },
+  {
+    "objectNumber": "PD-1769473690522",
+    "title": "The Starry Night",
+    "artist": "Vincent van Gogh",
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+    "postedAt": "2026-01-27T00:28:12.979Z"
+  },
+  {
+    "objectNumber": "MET-38326",
+    "title": "Vishnu",
+    "artist": "Unknown Artist",
+    "museum": "The Metropolitan Museum of Art",
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+    "postedAt": "2026-01-27T01:06:32.875Z"
+  },
+  {
+    "objectNumber": "MET-909681",
+    "title": "Vinaigrette box, M. or A. Ebsen, 1845",
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+    "postedAt": "2026-01-27T01:18:37.646Z"
+  },
+  {
+    "objectNumber": "MET-437423",
+    "title": "The Immaculate Conception",
+    "artist": "Guido Reni",
+    "museum": "The Metropolitan Museum of Art",
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+    "postedAt": "2026-01-27T01:34:49.621Z"
+  },
+  {
+    "objectNumber": "MET-468181",
+    "title": "Bow Brooch",
+    "artist": "Unknown Artist",
+    "museum": "The Metropolitan Museum of Art",
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+    "postedAt": "2026-01-27T02:29:10.945Z"
+  },
+  {
+    "objectNumber": "MET-447509",
+    "title": "Carpet with Triple-Arch Design",
+    "artist": "Unknown Artist",
+    "museum": "The Metropolitan Museum of Art",
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+    "postedAt": "2026-01-27T02:49:32.236Z"
+  },
+  {
+    "objectNumber": "PD-1769482282240",
+    "title": "Las Meninas",
+    "artist": "Diego Velázquez",
+    "museum": "Public Domain Collection",
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+    "postedAt": "2026-01-27T02:51:23.258Z"
+  },
+  {
+    "objectNumber": "PD-1769515200472",
+    "title": "The Birth of Venus",
+    "artist": "Sandro Botticelli",
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+    "tweetId": "2016119022937583773",
+    "postedAt": "2026-01-27T12:00:07.702Z"
+  },
+  {
+    "objectNumber": "MET-38515",
+    "title": "Vaikuntha Vishnu",
+    "artist": "Unknown Artist",
+    "museum": "The Metropolitan Museum of Art",
+    "tweetId": "2016122923376115862",
+    "postedAt": "2026-01-27T12:15:38.064Z"
+  },
+  {
+    "objectNumber": "MET-38237",
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+    "postedAt": "2026-01-27T12:19:39.747Z"
+  },
+  {
+    "objectNumber": "MET-227284",
+    "title": "Cravat end",
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+    "museum": "The Metropolitan Museum of Art",
+    "tweetId": "2016159013126414509",
+    "postedAt": "2026-01-27T14:39:02.621Z"
+  },
+  {
+    "objectNumber": "MET-483438",
+    "title": "Self-Portrait",
+    "artist": "Egon Schiele",
+    "museum": "The Metropolitan Museum of Art",
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+    "postedAt": "2026-01-27T18:00:08.182Z"
+  },
+  {
+    "objectNumber": "MET-469858",
+    "title": "Diptych with Scenes of the Annunciation, Nativity, Crucifixion, and Resurrection",
+    "artist": "Unknown Artist",
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+    "tweetId": "2016300204128141574",
+    "postedAt": "2026-01-28T00:00:04.869Z"
+  },
+  {
+    "objectNumber": "MET-435876",
+    "title": "Madame Cézanne (Hortense Fiquet, 1850–1922) in a Red Dress",
+    "artist": "Paul Cézanne",
+    "museum": "The Metropolitan Museum of Art",
+    "tweetId": "2016313657240735989",
+    "postedAt": "2026-01-28T00:53:32.350Z"
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+  {
+    "objectNumber": "PD-1769565100321",
+    "title": "Wanderer above the Sea of Fog",
+    "artist": "Caspar David Friedrich",
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+    "tweetId": "2016328291947581774",
+    "postedAt": "2026-01-28T01:51:41.241Z"
+  },
+  {
+    "objectNumber": "MET-10497",
+    "title": "View from Mount Holyoke, Northampton, Massachusetts, after a Thunderstorm—The Oxbow",
+    "artist": "Thomas Cole",
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+    "tweetId": "2016332346270924821",
+    "postedAt": "2026-01-28T02:07:48.350Z"
+  },
+  {
+    "objectNumber": "MET-322375",
+    "title": "Funerary relief",
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+    "postedAt": "2026-01-28T02:53:57.162Z"
+  },
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+    "tweetId": "2016346468840595766",
+    "postedAt": "2026-01-28T03:03:55.140Z"
+  },
+  {
+    "objectNumber": "MET-38159",
+    "title": "Standing Ganesha",
+    "artist": "Unknown Artist",
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+    "postedAt": "2026-01-28T03:56:10.488Z"
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+  {
+    "objectNumber": "MET-13606",
+    "title": "Phebe Warner Coverlet",
+    "artist": "Sarah Furman Warner Williams",
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+    "postedAt": "2026-01-28T05:12:38.724Z"
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+  {
+    "objectNumber": "MET-917450",
+    "title": "Belcher Mosaic Glass Co. : [catalog]",
+    "artist": "Belcher Mosaic Glass Co.",
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+    "postedAt": "2026-01-28T05:22:36.366Z"
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+  {
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+    "title": "The Dream of the Shepherd (Der Traum des Hirten)",
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+  {
+    "objectNumber": "PD-1769580517292",
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+    "artist": "Rembrandt van Rijn",
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+    "postedAt": "2026-01-28T06:12:38.860Z"
+  },
+  {
+    "objectNumber": "MET-547772",
+    "title": "Ritual Statuette of Thutmose III",
+    "artist": "Unknown Artist",
+    "museum": "The Metropolitan Museum of Art",
+    "tweetId": "2016481433880322098",
+    "postedAt": "2026-01-28T12:00:13.390Z"
+  },
+  {
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+    "title": "Portrait of Gerard de Lairesse",
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+    "postedAt": "2026-01-28T18:00:10.750Z"
+  },
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+    "museum": "The Metropolitan Museum of Art",
+    "tweetId": "2016662660151234576",
+    "postedAt": "2026-01-29T00:00:21.435Z"
+  },
+  {
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+    "title": "Girl with a Pearl Earring",
+    "artist": "Johannes Vermeer",
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+    "postedAt": "2026-01-29T01:19:10.117Z"
+  },
+  {
+    "objectNumber": "MET-24948",
+    "title": "Blade for a Dagger (Tantō)",
+    "artist": "Rai Kunitoshi",
+    "museum": "The Metropolitan Museum of Art",
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+    "postedAt": "2026-01-29T01:25:09.673Z"
+  },
+  {
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+    "title": "Seated Statue of Hatshepsut",
+    "artist": "Unknown Artist",
+    "museum": "The Metropolitan Museum of Art",
+    "tweetId": "2016689565369803086",
+    "postedAt": "2026-01-29T01:47:15.892Z"
+  },
+  {
+    "objectNumber": "MET-245787",
+    "title": "Glass garland bowl",
+    "artist": "Unknown Artist",
+    "museum": "The Metropolitan Museum of Art",
+    "tweetId": "2016708254219620698",
+    "postedAt": "2026-01-29T03:01:31.538Z"
+  },
+  {
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+    "title": "Side Chair",
+    "artist": "Benjamin Randolph",
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+    "postedAt": "2026-01-29T04:49:58.696Z"
+  },
+  {
+    "objectNumber": "MET-22506",
+    "title": "Armor (<i>Yoroi</i>) of Ashikaga Takauji (1305–1358)",
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+    "museum": "The Metropolitan Museum of Art",
+    "tweetId": "2016737067733307635",
+    "postedAt": "2026-01-29T04:56:01.460Z"
+  },
+  {
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+    "title": "The Arnolfini Portrait",
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+    "tweetId": "2016737531430367616",
+    "postedAt": "2026-01-29T04:57:51.523Z"
+  },
+  {
+    "objectNumber": "MET-327434",
+    "title": "Cylinder seal with cultic scene",
+    "artist": "Unknown Artist",
+    "museum": "The Metropolitan Museum of Art",
+    "tweetId": "2016753232673198530",
+    "postedAt": "2026-01-29T06:00:15.427Z"
+  },
+  {
+    "objectNumber": "PD-1769667725270",
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+    "postedAt": "2026-01-29T06:22:06.109Z"
+  },
+  {
+    "objectNumber": "MET-38327",
+    "title": "Bodhisattva, probably Padmapani Lokeshvara",
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+    "postedAt": "2026-01-29T09:57:03.602Z"
+  },
+  {
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+    "title": "Suit",
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+    "postedAt": "2026-01-29T10:07:08.764Z"
+  },
+  {
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+    "artist": "Rembrandt van Rijn",
+    "museum": "Public Domain Collection",
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+    "postedAt": "2026-01-29T10:29:03.694Z"
+  },
+  {
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+    "title": "The Annunciation",
+    "artist": "Botticelli (Alessandro di Mariano Filipepi)",
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+    "postedAt": "2026-01-29T10:31:06.124Z"
+  },
+  {
+    "objectNumber": "MET-311336",
+    "title": "Handle for a Fly Whisk (Tahiri)",
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+    "museum": "The Metropolitan Museum of Art",
+    "tweetId": "2016822904521171298",
+    "postedAt": "2026-01-29T10:37:06.232Z"
+  },
+  {
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+    "title": "Portrait of Emma Hamilton",
+    "artist": "Angelica Kauffmann",
+    "museum": "The Metropolitan Museum of Art",
+    "tweetId": "2016843857649160384",
+    "postedAt": "2026-01-29T12:00:22.233Z"
+  },
+  {
+    "objectNumber": "MET-72307",
+    "title": "Bowl with inscription and chrysanthemums and tortoiseshell decoration",
+    "artist": "Unknown Artist",
+    "museum": "The Metropolitan Museum of Art",
+    "tweetId": "2016847703989465575",
+    "postedAt": "2026-01-29T12:15:39.040Z"
+  },
+  {
+    "objectNumber": "MET-44696",
+    "title": "Gibbons in a Landscape",
+    "artist": "Sesson Shūkei 雪村周継",
+    "museum": "The Metropolitan Museum of Art",
+    "tweetId": "2016849801795837953",
+    "postedAt": "2026-01-29T12:23:59.277Z"
+  },
+  {
+    "objectNumber": "PD-1769690861028",
+    "title": "Liberty Leading the People",
+    "artist": "Eugène Delacroix",
+    "museum": "Public Domain Collection",
+    "tweetId": "2016855771653558422",
+    "postedAt": "2026-01-29T12:47:42.292Z"
+  },
+  {
+    "objectNumber": "MET-27792",
+    "title": "Harquebusier's Armor of Pedro II, King of Portugal (reigned 1683–1706) with Buff Coat",
+    "artist": "Richard Holden",
+    "museum": "The Metropolitan Museum of Art",
+    "tweetId": "2016882083810202009",
+    "postedAt": "2026-01-29T14:32:16.002Z"
+  },
+  {
+    "objectNumber": "MET-38127",
+    "title": "Shiva as Mrityunjaya, the Conquerer of Death",
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+    "museum": "The Metropolitan Museum of Art",
+    "tweetId": "2016891216017928425",
+    "postedAt": "2026-01-29T15:08:33.098Z"
+  },
+  {
+    "objectNumber": "PD-1769699663634",
+    "title": "Liberty Leading the People",
+    "artist": "Eugène Delacroix",
+    "museum": "Public Domain Collection",
+    "tweetId": "2016892692836544767",
+    "postedAt": "2026-01-29T15:14:24.987Z"
+  },
+  {
+    "objectNumber": "MET-354631",
+    "title": "Christ Crucified between the Two Thieves: The Three Crosses",
+    "artist": "Rembrandt (Rembrandt van Rijn)",
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+    "postedAt": "2026-01-29T15:40:36.744Z"
+  },
+  {
+    "objectNumber": "MET-503578",
+    "title": "Musette Baroque",
+    "artist": "Unknown",
+    "museum": "The Metropolitan Museum of Art",
+    "tweetId": "2016909401739927906",
+    "postedAt": "2026-01-29T16:20:48.868Z"
+  },
+  {
+    "objectNumber": "MET-910083",
+    "title": "Folding portable lantern in book form",
+    "artist": "Unknown Artist",
+    "museum": "The Metropolitan Museum of Art",
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+    "postedAt": "2026-01-29T16:40:51.963Z"
+  },
+  {
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+    "title": "The Great Wave off Kanagawa",
+    "artist": "Katsushika Hokusai",
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+    "tweetId": "2016917477167681897",
+    "postedAt": "2026-01-29T16:52:54.027Z"
+  },
+  {
+    "objectNumber": "MET-591830",
+    "title": "Architectura Curiosa Nova: Das ist, neue ergotzliche Sinn und Kunstreiche auch nutzliche Bau- und Wasser-Kunst . . .",
+    "artist": "Georg Andreas Böckler",
+    "museum": "The Metropolitan Museum of Art",
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+    "postedAt": "2026-01-29T17:04:58.746Z"
+  },
+  {
+    "objectNumber": "MET-438818",
+    "title": "Joseph-Antoine Moltedo (born 1775)",
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+    "museum": "The Metropolitan Museum of Art",
+    "tweetId": "2016927621599408171",
+    "postedAt": "2026-01-29T17:33:13.054Z"
+  },
+  {
+    "objectNumber": "MET-336046",
+    "title": "Saada, the Wife of Abraham Ben-Chimol, and Préciada, One of Their Daughters",
+    "artist": "Eugène Delacroix",
+    "museum": "The Metropolitan Museum of Art",
+    "tweetId": "2016934433073541135",
+    "postedAt": "2026-01-29T18:00:16.827Z"
+  },
+  {
+    "objectNumber": "PD-1769731210191",
+    "title": "The Great Wave off Kanagawa",
+    "artist": "Katsushika Hokusai",
+    "museum": "Public Domain Collection",
+    "tweetId": "2017025008921641440",
+    "postedAt": "2026-01-30T00:00:11.570Z"
+  },
+  {
+    "objectNumber": "PD-1769736404754",
+    "title": "Las Meninas",
+    "artist": "Diego Velázquez",
+    "museum": "Public Domain Collection",
+    "tweetId": "2017046795516596623",
+    "postedAt": "2026-01-30T01:26:45.826Z"
+  },
+  {
+    "objectNumber": "MET-437609",
+    "title": "The Holy Family with the Young Saint John the Baptist",
+    "artist": "Andrea del Sarto (Andrea d'Agnolo)",
+    "museum": "The Metropolitan Museum of Art",
+    "tweetId": "2017048322591379783",
+    "postedAt": "2026-01-30T01:32:50.254Z"
+  },
+  {
+    "objectNumber": "MET-336256",
+    "title": "The Entrance Hall of the Regensburg Synagogue",
+    "artist": "Albrecht Altdorfer",
+    "museum": "The Metropolitan Museum of Art",
+    "tweetId": "2017296793143546202",
+    "postedAt": "2026-01-30T18:00:10.359Z"
+  },
+  {
+    "objectNumber": "MET-282756",
+    "title": "Wrack",
+    "artist": "William Henry Fox Talbot",
+    "museum": "The Metropolitan Museum of Art",
+    "tweetId": "2017387383554248978",
+    "postedAt": "2026-01-31T00:00:08.711Z"
+  },
+  {
+    "objectNumber": "MET-543867",
+    "title": "Game of Hounds and Jackals",
+    "artist": "Unknown Artist",
+    "museum": "The Metropolitan Museum of Art",
+    "tweetId": "2017415219967082781",
+    "postedAt": "2026-01-31T01:50:45.115Z"
+  },
+  {
+    "objectNumber": "MET-680818",
+    "title": "Almanach royal, année bissextile M.DCC.LXXXVIII, présenté a sa Majeste pour la premiere fois en 1699",
+    "artist": "Laurent Charles d' Houry",
+    "museum": "The Metropolitan Museum of Art",
+    "tweetId": "2017434553338761684",
+    "postedAt": "2026-01-31T03:07:34.902Z"
+  },
+  {
+    "objectNumber": "MET-255417",
+    "title": "Marble female figure",
+    "artist": "Unknown Artist",
+    "museum": "The Metropolitan Museum of Art",
+    "tweetId": "2017449681929015312",
+    "postedAt": "2026-01-31T04:07:41.565Z"
+  },
+  {
+    "objectNumber": "PD-1769835612798",
+    "title": "The Night Watch",
+    "artist": "Rembrandt van Rijn",
+    "museum": "Public Domain Collection",
+    "tweetId": "2017462904329826600",
+    "postedAt": "2026-01-31T05:00:13.978Z"
+  },
+  {
+    "objectNumber": "MET-11985",
+    "title": "Osage Warrior",
+    "artist": "Charles Balthazar Julien Févret de Saint-Mémin",
+    "museum": "The Metropolitan Museum of Art",
+    "tweetId": "2017466933122372094",
+    "postedAt": "2026-01-31T05:16:14.961Z"
+  },
+  {
+    "objectNumber": "PD-1769839200769",
+    "title": "The Arnolfini Portrait",
+    "artist": "Jan van Eyck",
+    "museum": "Public Domain Collection",
+    "tweetId": "2017477952355860730",
+    "postedAt": "2026-01-31T06:00:01.630Z"
+  },
+  {
+    "objectNumber": "MET-194432",
+    "title": "Ewer (Brocca)",
+    "artist": "Medici Porcelain Manufactory",
+    "museum": "The Metropolitan Museum of Art",
+    "tweetId": "2017484162077495757",
+    "postedAt": "2026-01-31T06:24:42.350Z"
+  },
+  {
+    "objectNumber": "MET-503517",
+    "title": "ex \"Kurtz\" Violin",
+    "artist": "Andrea Amati",
+    "museum": "The Metropolitan Museum of Art",
+    "tweetId": "2017488205407523051",
+    "postedAt": "2026-01-31T06:40:46.375Z"
+  },
+  {
+    "objectNumber": "MET-329077",
+    "title": "Head of a ruler",
+    "artist": "Unknown Artist",
+    "museum": "The Metropolitan Museum of Art",
+    "tweetId": "2017494304969863505",
+    "postedAt": "2026-01-31T07:05:00.897Z"
+  },
+  {
+    "objectNumber": "MET-453576",
+    "title": "Pyxis (Cylindrical Container)",
+    "artist": "Unknown Artist",
+    "museum": "The Metropolitan Museum of Art",
+    "tweetId": "2017494798450757985",
+    "postedAt": "2026-01-31T07:06:58.109Z"
+  },
+  {
+    "objectNumber": "MET-334710",
+    "title": "The Kaunitz Sisters (Leopoldine, Caroline, and Ferdinandine)",
+    "artist": "Jean Auguste Dominique Ingres",
+    "museum": "The Metropolitan Museum of Art",
+    "tweetId": "2017495338006024264",
+    "postedAt": "2026-01-31T07:09:06.964Z"
+  },
+  {
+    "objectNumber": "MET-544683",
+    "title": "Statue of two men and a boy that served as a domestic icon",
+    "artist": "Unknown Artist",
+    "museum": "The Metropolitan Museum of Art",
+    "tweetId": "2017495848880640063",
+    "postedAt": "2026-01-31T07:11:08.765Z"
+  },
+  {
+    "objectNumber": "MET-821934",
+    "title": "Les modes",
+    "artist": "Galerie Manzi, Joyant & Cie.",
+    "museum": "The Metropolitan Museum of Art",
+    "tweetId": "2017496376813490377",
+    "postedAt": "2026-01-31T07:13:14.894Z"
+  },
+  {
+    "objectNumber": "MET-501876",
+    "title": "Tombak",
+    "artist": "Unknown Artist",
+    "museum": "The Metropolitan Museum of Art",
+    "tweetId": "2017496832323289128",
+    "postedAt": "2026-01-31T07:15:02.935Z"
+  },
+  {
+    "objectNumber": "MET-501691",
+    "title": "Ceramic Horn",
+    "artist": "Unknown Artist",
+    "museum": "The Metropolitan Museum of Art",
+    "tweetId": "2017497345454444822",
+    "postedAt": "2026-01-31T07:17:05.893Z"
+  },
+  {
+    "objectNumber": "MET-325710",
+    "title": "Sword and scabbard",
+    "artist": "Unknown Artist",
+    "museum": "The Metropolitan Museum of Art",
+    "tweetId": "2017659178366734809",
+    "postedAt": "2026-01-31T18:00:09.229Z"
+  },
+  {
+    "objectNumber": "MET-325693",
+    "title": "Vessel with six animal friezes",
+    "artist": "Unknown Artist",
+    "museum": "The Metropolitan Museum of Art",
+    "tweetId": "2017749804940693828",
+    "postedAt": "2026-02-01T00:00:16.944Z"
+  },
+  {
+    "objectNumber": "MET-726678",
+    "title": "Honoré Daumier, l'homme et l'œuvre : ouvrage orné d'un portrait à l'ea-forte, de deux héliogravures et de 47 illustrations",
+    "artist": "Arsène Alexandre",
+    "museum": "The Metropolitan Museum of Art",
+    "tweetId": "2017781910395883908",
+    "postedAt": "2026-02-01T02:07:51.301Z"
+  },
+  {
+    "objectNumber": "MET-39325",
+    "title": "Standing Parvati",
+    "artist": "Unknown Artist",
+    "museum": "The Metropolitan Museum of Art",
+    "tweetId": "2017795060981764341",
+    "postedAt": "2026-02-01T03:00:06.568Z"
+  },
+  {
+    "objectNumber": "MET-11122",
+    "title": "The Gulf Stream",
+    "artist": "Winslow Homer",
+    "museum": "The Metropolitan Museum of Art",
+    "tweetId": "2017803686710546501",
+    "postedAt": "2026-02-01T03:34:23.243Z"
+  },
+  {
+    "objectNumber": "MET-451367",
+    "title": "The 'Nigde' Carpet",
+    "artist": "Unknown Artist",
+    "museum": "The Metropolitan Museum of Art",
+    "tweetId": "2017817412515860684",
+    "postedAt": "2026-02-01T04:28:55.535Z"
+  },
+  {
+    "objectNumber": "MET-335663",
+    "title": "Youth Playing a Pipe for a Satyr",
+    "artist": "Giovanni Benedetto Castiglione (Il Grechetto)",
+    "museum": "The Metropolitan Museum of Art",
+    "tweetId": "2017818929029386300",
+    "postedAt": "2026-02-01T04:34:57.169Z"
+  },
+  {
+    "objectNumber": "MET-311159",
+    "title": "Ceremonial Board (Malu)",
+    "artist": "Unknown Artist",
+    "museum": "The Metropolitan Museum of Art",
+    "tweetId": "2017822965199671420",
+    "postedAt": "2026-02-01T04:50:59.515Z"
+  },
+  {
+    "objectNumber": "MET-42178",
+    "title": "Female Dancer",
+    "artist": "Unknown Artist",
+    "museum": "The Metropolitan Museum of Art",
+    "tweetId": "2017830054794068165",
+    "postedAt": "2026-02-01T05:19:09.641Z"
+  },
+  {
+    "objectNumber": "MET-627326",
+    "title": "Portrait of Cosimo de' Medici in full armor, his left hand resting on a staff",
+    "artist": "Niccolò della Casa",
+    "museum": "The Metropolitan Museum of Art",
+    "tweetId": "2017840388728623254",
+    "postedAt": "2026-02-01T06:00:13.696Z"
+  },
+  {
+    "objectNumber": "MET-503440",
+    "title": "Guitar",
+    "artist": "Joseph de Frías",
+    "museum": "The Metropolitan Museum of Art",
+    "tweetId": "2017845254209294674",
+    "postedAt": "2026-02-01T06:19:33.194Z"
+  },
+  {
+    "objectNumber": "MET-437455",
+    "title": "The Holy Family with Saints Anne and Catherine of Alexandria",
+    "artist": "Jusepe de Ribera (called Lo Spagnoletto)",
+    "museum": "The Metropolitan Museum of Art",
+    "tweetId": "2017856924801478834",
+    "postedAt": "2026-02-01T07:05:55.969Z"
+  },
+  {
+    "objectNumber": "MET-36029",
+    "title": "Water-moon Avalokiteshvara",
+    "artist": "Unidentified artist",
+    "museum": "The Metropolitan Museum of Art",
+    "tweetId": "2017857448997261524",
+    "postedAt": "2026-02-01T07:08:01.053Z"
+  },
+  {
+    "objectNumber": "MET-547771",
+    "title": "Ram's-head  Amulet",
+    "artist": "Unknown Artist",
+    "museum": "The Metropolitan Museum of Art",
+    "tweetId": "2017857931925196935",
+    "postedAt": "2026-02-01T07:09:56.134Z"
+  },
+  {
+    "objectNumber": "MET-466084",
+    "title": "Saint Stephen",
+    "artist": "Hans Leinberger",
+    "museum": "The Metropolitan Museum of Art",
+    "tweetId": "2017858472445165812",
+    "postedAt": "2026-02-01T07:12:05.168Z"
+  },
+  {
+    "objectNumber": "PD-1769930397505",
+    "title": "Girl with a Pearl Earring",
+    "artist": "Johannes Vermeer",
+    "museum": "Public Domain Collection",
+    "tweetId": "2017860459484090548",
+    "postedAt": "2026-02-01T07:19:58.434Z"
+  },
+  {
+    "objectNumber": "MET-256974",
+    "title": "Marble stele (grave marker) with a youth and little girl, and a capital and finial in the form of a sphinx",
+    "artist": "Unknown Artist",
+    "museum": "The Metropolitan Museum of Art",
+    "tweetId": "2017860979112219108",
+    "postedAt": "2026-02-01T07:22:02.742Z"
+  },
+  {
+    "objectNumber": "MET-78197",
+    "title": "Mandala of the Sun God Surya",
+    "artist": "Kitaharasa",
+    "museum": "The Metropolitan Museum of Art",
+    "tweetId": "2018021640752537970",
+    "postedAt": "2026-02-01T18:00:26.957Z"
+  },
+  {
+    "objectNumber": "MET-266133",
+    "title": "The Town on the Hill, New Almaden",
+    "artist": "Carleton E. Watkins",
+    "museum": "The Metropolitan Museum of Art",
+    "tweetId": "2018112139144429599",
+    "postedAt": "2026-02-02T00:00:03.940Z"
+  },
+  {
+    "objectNumber": "MET-544451",
+    "title": "Statuette of the Child Amenemhab",
+    "artist": "Unknown Artist",
+    "museum": "The Metropolitan Museum of Art",
+    "tweetId": "2018157594221871595",
+    "postedAt": "2026-02-02T03:00:41.116Z"
+  },
+  {
+    "objectNumber": "MET-459027",
+    "title": "Portrait of a Woman, Possibly a Nun of San Secondo; (verso) Scene in Grisaille",
+    "artist": "Jacometto (Jacometto Veneziano)",
+    "museum": "The Metropolitan Museum of Art",
+    "tweetId": "2018170273175101556",
+    "postedAt": "2026-02-02T03:51:04.234Z"
+  },
+  {
+    "objectNumber": "MET-910015",
+    "title": "Locking biscuit box in book form : Biscuits Olibet",
+    "artist": "Unknown Artist",
+    "museum": "The Metropolitan Museum of Art",
+    "tweetId": "2018180428696576134",
+    "postedAt": "2026-02-02T04:31:25.322Z"
+  },
+  {
+    "objectNumber": "PD-1770011755402",
+    "title": "The Night Watch",
+    "artist": "Rembrandt van Rijn",
+    "museum": "Public Domain Collection",
+    "tweetId": "2018201699614445838",
+    "postedAt": "2026-02-02T05:55:56.491Z"
+  },
+  {
+    "objectNumber": "MET-447071",
+    "title": "Folio from a Mu'nis al-ahrar fi daqa'iq al-ash'ar (The Free Man's Companion to the Subtleties of Poems) of Jajarmi",
+    "artist": "Muhammad ibn Badr al-Din Jajarmi",
+    "museum": "The Metropolitan Museum of Art",
+    "tweetId": "2018202741605294517",
+    "postedAt": "2026-02-02T06:00:05.194Z"
+  },
+  {
+    "objectNumber": "MET-459210",
+    "title": "Satire on Art Criticism",
+    "artist": "Rembrandt (Rembrandt van Rijn)",
+    "museum": "The Metropolitan Museum of Art",
+    "tweetId": "2018206317496930688",
+    "postedAt": "2026-02-02T06:14:17.958Z"
+  },
+  {
+    "objectNumber": "MET-316682",
+    "title": "Poporo (lime container) with female figures",
+    "artist": "Quimbaya artist(s)",
+    "museum": "The Metropolitan Museum of Art",
+    "tweetId": "2018206797228900821",
+    "postedAt": "2026-02-02T06:16:12.000Z"
+  },
+  {
+    "objectNumber": "PD-1770020944859",
+    "title": "The Great Wave off Kanagawa",
+    "artist": "Katsushika Hokusai",
+    "museum": "Public Domain Collection",
+    "tweetId": "2018240244030886082",
+    "postedAt": "2026-02-02T08:29:06.211Z"
+  },
+  {
+    "objectNumber": "MET-11380",
+    "title": "Nocturne",
+    "artist": "John La Farge",
+    "museum": "The Metropolitan Museum of Art",
+    "tweetId": "2018243342866567223",
+    "postedAt": "2026-02-02T08:41:25.242Z"
+  },
+  {
+    "objectNumber": "MET-24937",
+    "title": "Armor of Infante Luis, Prince of Asturias (1707–1724)",
+    "artist": "Jean Drouart",
+    "museum": "The Metropolitan Museum of Art",
+    "tweetId": "2018257534113734728",
+    "postedAt": "2026-02-02T09:37:48.930Z"
+  },
+  {
+    "objectNumber": "MET-466045",
+    "title": "Crucified Christ",
+    "artist": "Unknown Artist",
+    "museum": "The Metropolitan Museum of Art",
+    "tweetId": "2018270215755513865",
+    "postedAt": "2026-02-02T10:28:12.208Z"
+  },
+  {
+    "objectNumber": "MET-448281",
+    "title": "Folio from a Qur'an Manuscript",
+    "artist": "Unknown Artist",
+    "museum": "The Metropolitan Museum of Art",
+    "tweetId": "2018274772640231822",
+    "postedAt": "2026-02-02T10:46:18.662Z"
+  },
+  {
+    "objectNumber": "MET-39883",
+    "title": "Kshitigarbha",
+    "artist": "Unidentified artist",
+    "museum": "The Metropolitan Museum of Art",
+    "tweetId": "2018277786356728161",
+    "postedAt": "2026-02-02T10:58:17.511Z"
+  },
+  {
+    "objectNumber": "MET-337725",
+    "title": "The Round Tower, from \"Carceri d'invenzione\" (Imaginary Prisons)",
+    "artist": "Giovanni Battista Piranesi",
+    "museum": "The Metropolitan Museum of Art",
+    "tweetId": "2018293372902101454",
+    "postedAt": "2026-02-02T12:00:12.958Z"
+  },
+  {
+    "objectNumber": "PD-1770035327832",
+    "title": "Liberty Leading the People",
+    "artist": "Eugène Delacroix",
+    "museum": "Public Domain Collection",
+    "tweetId": "2018300569870602386",
+    "postedAt": "2026-02-02T12:28:49.074Z"
+  },
+  {
+    "objectNumber": "MET-78190",
+    "title": "Chakrasamvara and Vajravarahi",
+    "artist": "Unknown Artist",
+    "museum": "The Metropolitan Museum of Art",
+    "tweetId": "2018389462926098941",
+    "postedAt": "2026-02-02T18:22:02.602Z"
+  },
+  {
+    "objectNumber": "MET-459028",
+    "title": "Portrait of Alvise Contarini(?); (verso) A Tethered Roebuck",
+    "artist": "Jacometto (Jacometto Veneziano)",
+    "museum": "The Metropolitan Museum of Art",
+    "tweetId": "2018405549474529596",
+    "postedAt": "2026-02-02T19:25:58.341Z"
+  },
+  {
+    "objectNumber": "MET-739504",
+    "title": "Examples of Chinese ornament selected from objects in the South Kensington Museum and other collections",
+    "artist": "Owen Jones",
+    "museum": "The Metropolitan Museum of Art",
+    "tweetId": "2018474576112762960",
+    "postedAt": "2026-02-03T00:00:15.844Z"
+  },
+  {
+    "objectNumber": "PD-1770089254297",
+    "title": "The Night Watch",
+    "artist": "Rembrandt van Rijn",
+    "museum": "Public Domain Collection",
+    "tweetId": "2018526754160480381",
+    "postedAt": "2026-02-03T03:27:35.552Z"
+  },
+  {
+    "objectNumber": "MET-554769",
+    "title": "Stelophorous Statue of Bay",
+    "artist": "Unknown Artist",
+    "museum": "The Metropolitan Museum of Art",
+    "tweetId": "2018527804896534861",
+    "postedAt": "2026-02-03T03:31:46.281Z"
+  },
+  {
+    "objectNumber": "MET-336489",
+    "title": "Queen Esther Approaching the Palace of Ahasuerus",
+    "artist": "Claude Lorrain (Claude Gellée)",
+    "museum": "The Metropolitan Museum of Art",
+    "tweetId": "2018528325145395519",
+    "postedAt": "2026-02-03T03:33:50.162Z"
+  },
+  {
+    "objectNumber": "MET-818177",
+    "title": "William Wyon, R.A., chief engraver of Her Majesty's Mint",
+    "artist": "Leonard Charles Wyon",
+    "museum": "The Metropolitan Museum of Art",
+    "tweetId": "2018549556838027559",
+    "postedAt": "2026-02-03T04:58:12.234Z"
+  },
+  {
+    "objectNumber": "MET-459213",
+    "title": "Madame Félix Gallois",
+    "artist": "Jean Auguste Dominique Ingres",
+    "museum": "The Metropolitan Museum of Art",
+    "tweetId": "2018553141688733860",
+    "postedAt": "2026-02-03T05:12:27.052Z"
+  },
+  {
+    "objectNumber": "MET-459138",
+    "title": "Ecstatic Christ",
+    "artist": "Hans Baldung (called Hans Baldung Grien)",
+    "museum": "The Metropolitan Museum of Art",
+    "tweetId": "2018562270897504678",
+    "postedAt": "2026-02-03T05:48:43.666Z"
+  },
+  {
+    "objectNumber": "MET-324008",
+    "title": "Orthostat relief: lion-hunt scene",
+    "artist": "Unknown Artist",
+    "museum": "The Metropolitan Museum of Art",
+    "tweetId": "2018565159653163121",
+    "postedAt": "2026-02-03T06:00:12.577Z"
+  },
+  {
+    "objectNumber": "PD-1770098561130",
+    "title": "Girl with a Pearl Earring",
+    "artist": "Johannes Vermeer",
+    "museum": "Public Domain Collection",
+    "tweetId": "2018565789746712699",
+    "postedAt": "2026-02-03T06:02:42.285Z"
+  },
+  {
+    "objectNumber": "MET-910543",
+    "title": "Woman at her dressing table",
+    "artist": "Leng Mei",
+    "museum": "The Metropolitan Museum of Art",
+    "tweetId": "2018579501056467269",
+    "postedAt": "2026-02-03T06:57:11.837Z"
+  },
+  {
+    "objectNumber": "MET-548310",
+    "title": "Statuette of Isis with the infant Horus",
+    "artist": "Unknown Artist",
+    "museum": "The Metropolitan Museum of Art",
+    "tweetId": "2018610451777802386",
+    "postedAt": "2026-02-03T09:00:10.714Z"
+  },
+  {
+    "objectNumber": "MET-476711",
+    "title": "Bust of the Virgin",
+    "artist": "Unknown Artist",
+    "museum": "The Metropolitan Museum of Art",
+    "tweetId": "2018628188046594264",
+    "postedAt": "2026-02-03T10:10:39.410Z"
+  },
+  {
+    "objectNumber": "MET-256978",
+    "title": "Two bronze helmets",
+    "artist": "Unknown Artist",
+    "museum": "The Metropolitan Museum of Art",
+    "tweetId": "2018628704180793712",
+    "postedAt": "2026-02-03T10:12:42.617Z"
+  },
+  {
+    "objectNumber": "MET-437344",
+    "title": "The Shepherd's Song",
+    "artist": "Pierre Puvis de Chavannes",
+    "museum": "The Metropolitan Museum of Art",
+    "tweetId": "2018639849721651301",
+    "postedAt": "2026-02-03T10:56:59.461Z"
+  },
+  {
+    "objectNumber": "MET-242008",
+    "title": "Limestone Herakles",
+    "artist": "Unknown Artist",
+    "museum": "The Metropolitan Museum of Art",
+    "tweetId": "2018641385046598026",
+    "postedAt": "2026-02-03T11:03:05.823Z"
+  },
+  {
+    "objectNumber": "MET-267019",
+    "title": "American Barque \"Jane Tudor,\" Conway Bay",
+    "artist": "David Johnson",
+    "museum": "The Metropolitan Museum of Art",
+    "tweetId": "2018836912707137983",
+    "postedAt": "2026-02-04T00:00:03.724Z"
+  },
+  {
+    "objectNumber": "MET-451804",
+    "title": "Dish with Two Intertwined Dragons",
+    "artist": "Unknown Artist",
+    "museum": "The Metropolitan Museum of Art",
+    "tweetId": "2018927545706770542",
+    "postedAt": "2026-02-04T06:00:11.884Z"
+  },
+  {
+    "objectNumber": "MET-42162",
+    "title": "Buddha Maitreya (Mile) Altarpiece",
+    "artist": "Unknown Artist",
+    "museum": "The Metropolitan Museum of Art",
+    "tweetId": "2018937958729179438",
+    "postedAt": "2026-02-04T06:41:34.540Z"
+  },
+  {
+    "objectNumber": "MET-76445",
+    "title": "Enthroned Buddha Granting Boons",
+    "artist": "Unknown Artist",
+    "museum": "The Metropolitan Museum of Art",
+    "tweetId": "2018962816355766665",
+    "postedAt": "2026-02-04T08:20:21.013Z"
+  },
+  {
+    "objectNumber": "MET-459244",
+    "title": "Dish (piatto): Man Washing the Mouth of an Ass",
+    "artist": "Unknown Artist",
+    "museum": "The Metropolitan Museum of Art",
+    "tweetId": "2018969398288290060",
+    "postedAt": "2026-02-04T08:46:30.389Z"
+  },
+  {
+    "objectNumber": "PD-1770195505488",
+    "title": "Las Meninas",
+    "artist": "Diego Velázquez",
+    "museum": "Public Domain Collection",
+    "tweetId": "2018972403041435813",
+    "postedAt": "2026-02-04T08:58:26.445Z"
+  },
+  {
+    "objectNumber": "MET-824771",
+    "title": "Marie Antoinette in a Park",
+    "artist": "Elisabeth Louise Vigée Le Brun",
+    "museum": "The Metropolitan Museum of Art",
+    "tweetId": "2019014025003286673",
+    "postedAt": "2026-02-04T11:43:50.473Z"
+  },
+  {
+    "objectNumber": "MET-451402",
+    "title": "\"The Elephant Clock\", Folio from a Book of the Knowledge of Ingenious Mechanical Devices by al-Jazari",
+    "artist": "Farrukh ibn `Abd al-Latif",
+    "museum": "The Metropolitan Museum of Art",
+    "tweetId": "2019015062107926921",
+    "postedAt": "2026-02-04T11:47:57.596Z"
+  },
+  {
+    "objectNumber": "MET-544067",
+    "title": "Hair Comb Decorated with Rows of Wild Animals",
+    "artist": "Unknown Artist",
+    "museum": "The Metropolitan Museum of Art",
+    "tweetId": "2019018105318699345",
+    "postedAt": "2026-02-04T12:00:02.828Z"
+  },
+  {
+    "objectNumber": "MET-78187",
+    "title": "Bhairava",
+    "artist": "Unknown Artist",
+    "museum": "The Metropolitan Museum of Art",
+    "tweetId": "2019029222753448213",
+    "postedAt": "2026-02-04T12:44:13.953Z"
+  },
+  {
+    "objectNumber": "MET-204804",
+    "title": "La Crainte des Traits de l'Amour",
+    "artist": "Jean-Louis Lemoyne",
+    "museum": "The Metropolitan Museum of Art",
+    "tweetId": "2019033776555532554",
+    "postedAt": "2026-02-04T13:02:19.282Z"
+  },
+  {
+    "objectNumber": "PD-1770210985020",
+    "title": "Wanderer above the Sea of Fog",
+    "artist": "Caspar David Friedrich",
+    "museum": "Public Domain Collection",
+    "tweetId": "2019037329013485857",
+    "postedAt": "2026-02-04T13:16:25.991Z"
+  },
+  {
+    "objectNumber": "MET-680708",
+    "title": "Almanach royal : année bissextile M.DCC.LXXXIV. présenté a Sa Majesté pour la premiere fois en 1699 par Laurent d'Houry ...",
+    "artist": "Laurent Charles d' Houry",
+    "museum": "The Metropolitan Museum of Art",
+    "tweetId": "2019049528679399840",
+    "postedAt": "2026-02-04T14:04:55.057Z"
+  },
+  {
+    "objectNumber": "MET-42298",
+    "title": "Covered box decorated with chrysanthemums and waterfowl among lotus",
+    "artist": "Unknown Artist",
+    "museum": "The Metropolitan Museum of Art",
+    "tweetId": "2019061682463744468",
+    "postedAt": "2026-02-04T14:53:12.680Z"
+  },
+  {
+    "objectNumber": "MET-446996",
+    "title": "Swan-Neck Glass Bottle",
+    "artist": "Unknown Artist",
+    "museum": "The Metropolitan Museum of Art",
+    "tweetId": "2019071818452382016",
+    "postedAt": "2026-02-04T15:33:29.181Z"
+  },
+  {
+    "objectNumber": "MET-503939",
+    "title": "Sgra-Snyan",
+    "artist": "Unknown Artist",
+    "museum": "The Metropolitan Museum of Art",
+    "tweetId": "2019073330008260700",
+    "postedAt": "2026-02-04T15:39:29.655Z"
+  },
+  {
+    "objectNumber": "MET-21940",
+    "title": "Crossbow of Count Ulrich V of Württemberg (1413–1480)",
+    "artist": "Heinrich Heid von Winterthur",
+    "museum": "The Metropolitan Museum of Art",
+    "tweetId": "2019108713135792614",
+    "postedAt": "2026-02-04T18:00:05.592Z"
+  },
+  {
+    "objectNumber": "MET-591858",
+    "title": "Diaries of Samuel P. Avery",
+    "artist": "Samuel Putnam Avery Sr.",
+    "museum": "The Metropolitan Museum of Art",
+    "tweetId": "2019199313281446206",
+    "postedAt": "2026-02-05T00:00:06.080Z"
+  },
+  {
+    "objectNumber": "MET-681128",
+    "title": "Les aventures de Télémaque, fils d'Ulysse par M. de Fénélon ; avec figures en taille-douce, dessinées par MM. Cochin et Moreau le jeune",
+    "artist": "François de Salignac de La Mothe-Fénelon",
+    "museum": "The Metropolitan Museum of Art",
+    "tweetId": "2019220439403462892",
+    "postedAt": "2026-02-05T01:24:03.260Z"
+  },
+  {
+    "objectNumber": "MET-248644",
+    "title": "Marble funerary lekythos",
+    "artist": "Unknown Artist",
+    "museum": "The Metropolitan Museum of Art",
+    "tweetId": "2019289899409818084",
+    "postedAt": "2026-02-05T06:00:04.132Z"
+  },
+  {
+    "objectNumber": "MET-933846",
+    "title": "Architecture et décoration turques au XVe siècle",
+    "artist": "Léon Parvillée",
+    "museum": "The Metropolitan Museum of Art",
+    "tweetId": "2019311212794904818",
+    "postedAt": "2026-02-05T07:24:45.398Z"
+  },
+  {
+    "objectNumber": "PD-1770277360291",
+    "title": "Wanderer above the Sea of Fog",
+    "artist": "Caspar David Friedrich",
+    "museum": "Public Domain Collection",
+    "tweetId": "2019315726583230787",
+    "postedAt": "2026-02-05T07:42:41.149Z"
+  },
+  {
+    "objectNumber": "MET-256548",
+    "title": "Terracotta kernos (vase for multiple offerings)",
+    "artist": "Unknown Artist",
+    "museum": "The Metropolitan Museum of Art",
+    "tweetId": "2019321838799843517",
+    "postedAt": "2026-02-05T08:06:58.765Z"
+  },
+  {
+    "objectNumber": "MET-677426",
+    "title": "Vishnu",
+    "artist": "Unknown Artist",
+    "museum": "The Metropolitan Museum of Art",
+    "tweetId": "2019351224945111395",
+    "postedAt": "2026-02-05T10:03:44.980Z"
+  },
+  {
+    "objectNumber": "MET-912077",
+    "title": "L'art japonais",
+    "artist": "Louis Gonse",
+    "museum": "The Metropolitan Museum of Art",
+    "tweetId": "2019361420429914206",
+    "postedAt": "2026-02-05T10:44:16.161Z"
+  },
+  {
+    "objectNumber": "PD-1770288361064",
+    "title": "Girl with a Pearl Earring",
+    "artist": "Johannes Vermeer",
+    "museum": "Public Domain Collection",
+    "tweetId": "2019361867257565291",
+    "postedAt": "2026-02-05T10:46:02.009Z"
+  },
+  {
+    "objectNumber": "MET-253505",
+    "title": "Marble grave stele of a young woman and servant",
+    "artist": "Unknown Artist",
+    "museum": "The Metropolitan Museum of Art",
+    "tweetId": "2019367953423298572",
+    "postedAt": "2026-02-05T11:10:13.424Z"
+  },
+  {
+    "objectNumber": "MET-79101",
+    "title": "Shoes",
+    "artist": "Unknown Artist",
+    "museum": "The Metropolitan Museum of Art",
+    "tweetId": "2019369986108903515",
+    "postedAt": "2026-02-05T11:18:17.906Z"
+  },
+  {
+    "objectNumber": "MET-687677",
+    "title": "Minnehaha",
+    "artist": "Edmonia Lewis",
+    "museum": "The Metropolitan Museum of Art",
+    "tweetId": "2019370495251222683",
+    "postedAt": "2026-02-05T11:20:19.188Z"
+  },
+  {
+    "objectNumber": "MET-918158",
+    "title": "Maison R. Garnier, Brun-Cottan frères successeurs ... Paris : cuivrerie et serrurerie artistiques ..",
+    "artist": "Maison R. Garnier",
+    "museum": "The Metropolitan Museum of Art",
+    "tweetId": "2019380529486000201",
+    "postedAt": "2026-02-05T12:00:11.898Z"
+  },
+  {
+    "objectNumber": "MET-10821",
+    "title": "The Dancing Lesson",
+    "artist": "Thomas Eakins",
+    "museum": "The Metropolitan Museum of Art",
+    "tweetId": "2019390279774867493",
+    "postedAt": "2026-02-05T12:38:56.400Z"
+  },
+  {
+    "objectNumber": "PD-1770295495989",
+    "title": "Las Meninas",
+    "artist": "Diego Velázquez",
+    "museum": "Public Domain Collection",
+    "tweetId": "2019391794300219627",
+    "postedAt": "2026-02-05T12:44:57.142Z"
+  },
+  {
+    "objectNumber": "MET-3141",
+    "title": "Desk and bookcase",
+    "artist": "Unknown Artist",
+    "museum": "The Metropolitan Museum of Art",
+    "tweetId": "2019412595967742001",
+    "postedAt": "2026-02-05T14:07:37.014Z"
+  },
+  {
+    "objectNumber": "PD-1770302991852",
+    "title": "Girl with a Pearl Earring",
+    "artist": "Johannes Vermeer",
+    "museum": "Public Domain Collection",
+    "tweetId": "2019423233255330077",
+    "postedAt": "2026-02-05T14:49:52.735Z"
+  },
+  {
+    "objectNumber": "PD-1770336000687",
+    "title": "The Starry Night",
+    "artist": "Vincent van Gogh",
+    "museum": "Public Domain Collection",
+    "tweetId": "2019561710269653262",
+    "postedAt": "2026-02-06T00:00:08.388Z"
+  },
+  {
+    "objectNumber": "MET-502040",
+    "title": "Saùng-Gauk",
+    "artist": "Unknown Artist",
+    "museum": "The Metropolitan Museum of Art",
+    "tweetId": "2019562715795321250",
+    "postedAt": "2026-02-06T00:04:08.186Z"
+  },
+  {
+    "objectNumber": "PD-1770339021052",
+    "title": "Girl with a Pearl Earring",
+    "artist": "Johannes Vermeer",
+    "museum": "Public Domain Collection",
+    "tweetId": "2019574351205683270",
+    "postedAt": "2026-02-06T00:50:22.083Z"
+  },
+  {
+    "objectNumber": "MET-253348",
+    "title": "Terracotta lekythos (oil flask)",
+    "artist": "Amasis Painter",
+    "museum": "The Metropolitan Museum of Art",
+    "tweetId": "2019574890161181004",
+    "postedAt": "2026-02-06T00:52:31.066Z"
+  },
+  {
+    "objectNumber": "MET-546037",
+    "title": "Magical Stela with Horus the Child",
+    "artist": "Unknown Artist",
+    "museum": "The Metropolitan Museum of Art",
+    "tweetId": "2019652304237130107",
+    "postedAt": "2026-02-06T06:00:08.009Z"
+  },
+  {
+    "objectNumber": "PD-1770362717875",
+    "title": "Wanderer above the Sea of Fog",
+    "artist": "Caspar David Friedrich",
+    "museum": "Public Domain Collection",
+    "tweetId": "2019673742251815260",
+    "postedAt": "2026-02-06T07:25:18.732Z"
+  },
+  {
+    "objectNumber": "MET-452112",
+    "title": "\"Tahmuras Defeats the Divs\", Folio 23v from the Shahnama (Book of Kings) of Shah Tahmasp",
+    "artist": "Abu'l Qasim Firdausi",
+    "museum": "The Metropolitan Museum of Art",
+    "tweetId": "2019674255223583164",
+    "postedAt": "2026-02-06T07:27:21.472Z"
+  },
+  {
+    "objectNumber": "PD-1770362957605",
+    "title": "The Garden of Earthly Delights",
+    "artist": "Hieronymus Bosch",
+    "museum": "Public Domain Collection",
+    "tweetId": "2019674749232902645",
+    "postedAt": "2026-02-06T07:29:18.865Z"
+  },
+  {
+    "objectNumber": "MET-503971",
+    "title": "Natural Trumpet",
+    "artist": "Johann Wilhelm Haas",
+    "museum": "The Metropolitan Museum of Art",
+    "tweetId": "2019675266596082066",
+    "postedAt": "2026-02-06T07:31:22.331Z"
+  },
+  {
+    "objectNumber": "MET-910038",
+    "title": "Box in the form of a book",
+    "artist": "Unknown Artist",
+    "museum": "The Metropolitan Museum of Art",
+    "tweetId": "2019675814493814886",
+    "postedAt": "2026-02-06T07:33:33.343Z"
+  },
+  {
+    "objectNumber": "PD-1770363320841",
+    "title": "Liberty Leading the People",
+    "artist": "Eugène Delacroix",
+    "museum": "Public Domain Collection",
+    "tweetId": "2019676272771858863",
+    "postedAt": "2026-02-06T07:35:22.188Z"
+  },
+  {
+    "objectNumber": "PD-1770363442632",
+    "title": "Wanderer above the Sea of Fog",
+    "artist": "Caspar David Friedrich",
+    "museum": "Public Domain Collection",
+    "tweetId": "2019676781947810250",
+    "postedAt": "2026-02-06T07:37:23.448Z"
+  },
+  {
+    "objectNumber": "MET-451400",
+    "title": "\"Preparing Medicine from Honey\", from a Dispersed Manuscript of an Arabic Translation of De Materia Medica of Dioscorides",
+    "artist": "'Abdullah ibn al-Fadl",
+    "museum": "The Metropolitan Museum of Art",
+    "tweetId": "2019677295934570805",
+    "postedAt": "2026-02-06T07:39:26.268Z"
+  },
+  {
+    "objectNumber": "PD-1770363687872",
+    "title": "Liberty Leading the People",
+    "artist": "Eugène Delacroix",
+    "museum": "Public Domain Collection",
+    "tweetId": "2019677811880124584",
+    "postedAt": "2026-02-06T07:41:29.145Z"
+  },
+  {
+    "objectNumber": "MET-10481",
+    "title": "Heart of the Andes",
+    "artist": "Frederic Edwin Church",
+    "museum": "The Metropolitan Museum of Art",
+    "tweetId": "2019678316236796368",
+    "postedAt": "2026-02-06T07:43:29.646Z"
+  },
+  {
+    "objectNumber": "MET-322499",
+    "title": "Belt clasp",
+    "artist": "Unknown Artist",
+    "museum": "The Metropolitan Museum of Art",
+    "tweetId": "2019678848267481300",
+    "postedAt": "2026-02-06T07:45:36.594Z"
+  },
+  {
+    "objectNumber": "MET-446567",
+    "title": "\"The Story of the Princess of the Blue Pavillion: The Youth of Rum Is Entertained in a Garden by a Fairy and her Maidens\", Folio from a Khamsa (Quintet) of Amir Khusrau Dihlavi",
+    "artist": "Amir Khusrau Dihlavi",
+    "museum": "The Metropolitan Museum of Art",
+    "tweetId": "2019679353014219000",
+    "postedAt": "2026-02-06T07:47:36.705Z"
+  }
+]
\ No newline at end of file
diff --git a/ecosystem.config.cjs b/ecosystem.config.cjs
new file mode 100644
index 0000000..07b22af
--- /dev/null
+++ b/ecosystem.config.cjs
@@ -0,0 +1,39 @@
+/**
+ * PM2 Ecosystem Configuration
+ * Museum Art Animation Bot
+ */
+
+module.exports = {
+  apps: [
+    {
+      name: 'museum-art-bot',
+      script: 'src/index.js',
+      cwd: '/root/Projects/animate-museum-posts',
+
+      // Environment
+      env: {
+        NODE_ENV: 'production',
+        PORT: 7890
+      },
+
+      // Restart behavior
+      autorestart: true,
+      watch: false,
+      max_restarts: 10,
+      min_uptime: '10s',
+      restart_delay: 5000,
+
+      // Logging
+      log_date_format: 'YYYY-MM-DD HH:mm:ss Z',
+      error_file: '/root/Projects/animate-museum-posts/logs/pm2-error.log',
+      out_file: '/root/Projects/animate-museum-posts/logs/pm2-out.log',
+      merge_logs: true,
+
+      // Memory management
+      max_memory_restart: '500M',
+
+      // Graceful shutdown
+      kill_timeout: 5000
+    }
+  ]
+};
diff --git a/museum-art-bot.service b/museum-art-bot.service
new file mode 100644
index 0000000..f8429a3
--- /dev/null
+++ b/museum-art-bot.service
@@ -0,0 +1,17 @@
+[Unit]
+Description=Museum Art Animation Bot
+After=network.target
+
+[Service]
+Type=simple
+User=root
+WorkingDirectory=/root/animatemuseumposts
+ExecStart=/usr/bin/node /root/animatemuseumposts/src/index.js
+Restart=always
+RestartSec=10
+StandardOutput=append:/root/animatemuseumposts/logs/service.log
+StandardError=append:/root/animatemuseumposts/logs/service-error.log
+Environment=NODE_ENV=production
+
+[Install]
+WantedBy=multi-user.target
\ No newline at end of file
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diff --git a/output/metadata_1769835612798.json b/output/metadata_1769835612798.json
new file mode 100644
index 0000000..6ef7573
--- /dev/null
+++ b/output/metadata_1769835612798.json
@@ -0,0 +1,13 @@
+{
+  "title": "The Night Watch",
+  "artist": "Rembrandt van Rijn",
+  "year": "1642",
+  "description": "The Night Watch is a masterpiece created by Rembrandt van Rijn in 1642. This artwork is now in the public domain and represents a significant contribution to art history.",
+  "objectNumber": "PD-1769835612798",
+  "imageUrl": "https://upload.wikimedia.org/wikipedia/commons/thumb/5/5a/The_Night_Watch_-_HD.jpg/1920px-The_Night_Watch_-_HD.jpg",
+  "localPath": "/root/Projects/animate-museum-posts/output/artwork_1769835612798.jpg",
+  "fileName": "artwork_1769835612798.jpg",
+  "museum": "Public Domain Collection",
+  "creditLine": "Rembrandt van Rijn (Public Domain)",
+  "dimensions": []
+}
\ No newline at end of file
diff --git a/output/metadata_1769839200769.json b/output/metadata_1769839200769.json
new file mode 100644
index 0000000..04ad063
--- /dev/null
+++ b/output/metadata_1769839200769.json
@@ -0,0 +1,13 @@
+{
+  "title": "The Arnolfini Portrait",
+  "artist": "Jan van Eyck",
+  "year": "1434",
+  "description": "The Arnolfini Portrait is a masterpiece created by Jan van Eyck in 1434. This artwork is now in the public domain and represents a significant contribution to art history.",
+  "objectNumber": "PD-1769839200769",
+  "imageUrl": "https://upload.wikimedia.org/wikipedia/commons/thumb/3/33/Van_Eyck_-_Arnolfini_Portrait.jpg/800px-Van_Eyck_-_Arnolfini_Portrait.jpg",
+  "localPath": "/root/Projects/animate-museum-posts/output/artwork_1769839200769.jpg",
+  "fileName": "artwork_1769839200769.jpg",
+  "museum": "Public Domain Collection",
+  "creditLine": "Jan van Eyck (Public Domain)",
+  "dimensions": []
+}
\ No newline at end of file
diff --git a/output/metadata_1769930397505.json b/output/metadata_1769930397505.json
new file mode 100644
index 0000000..1e13c5e
--- /dev/null
+++ b/output/metadata_1769930397505.json
@@ -0,0 +1,13 @@
+{
+  "title": "Girl with a Pearl Earring",
+  "artist": "Johannes Vermeer",
+  "year": "1665",
+  "description": "Girl with a Pearl Earring is a masterpiece created by Johannes Vermeer in 1665. This artwork is now in the public domain and represents a significant contribution to art history.",
+  "objectNumber": "PD-1769930397505",
+  "imageUrl": "https://upload.wikimedia.org/wikipedia/commons/thumb/0/0f/1665_Girl_with_a_Pearl_Earring.jpg/800px-1665_Girl_with_a_Pearl_Earring.jpg",
+  "localPath": "/root/Projects/animate-museum-posts/output/artwork_1769930397505.jpg",
+  "fileName": "artwork_1769930397505.jpg",
+  "museum": "Public Domain Collection",
+  "creditLine": "Johannes Vermeer (Public Domain)",
+  "dimensions": []
+}
\ No newline at end of file
diff --git a/output/metadata_1769955541913.json b/output/metadata_1769955541913.json
new file mode 100644
index 0000000..bf0efdc
--- /dev/null
+++ b/output/metadata_1769955541913.json
@@ -0,0 +1,13 @@
+{
+  "title": "The Night Watch",
+  "artist": "Rembrandt van Rijn",
+  "year": "1642",
+  "description": "The Night Watch is a masterpiece created by Rembrandt van Rijn in 1642. This artwork is now in the public domain and represents a significant contribution to art history.",
+  "objectNumber": "PD-1769955541913",
+  "imageUrl": "https://upload.wikimedia.org/wikipedia/commons/thumb/5/5a/The_Night_Watch_-_HD.jpg/1920px-The_Night_Watch_-_HD.jpg",
+  "localPath": "/root/Projects/animate-museum-posts/output/artwork_1769955541913.jpg",
+  "fileName": "artwork_1769955541913.jpg",
+  "museum": "Public Domain Collection",
+  "creditLine": "Rembrandt van Rijn (Public Domain)",
+  "dimensions": []
+}
\ No newline at end of file
diff --git a/output/metadata_1770011755402.json b/output/metadata_1770011755402.json
new file mode 100644
index 0000000..dfc21ca
--- /dev/null
+++ b/output/metadata_1770011755402.json
@@ -0,0 +1,13 @@
+{
+  "title": "The Night Watch",
+  "artist": "Rembrandt van Rijn",
+  "year": "1642",
+  "description": "The Night Watch is a masterpiece created by Rembrandt van Rijn in 1642. This artwork is now in the public domain and represents a significant contribution to art history.",
+  "objectNumber": "PD-1770011755402",
+  "imageUrl": "https://upload.wikimedia.org/wikipedia/commons/thumb/5/5a/The_Night_Watch_-_HD.jpg/1920px-The_Night_Watch_-_HD.jpg",
+  "localPath": "/root/Projects/animate-museum-posts/output/artwork_1770011755402.jpg",
+  "fileName": "artwork_1770011755402.jpg",
+  "museum": "Public Domain Collection",
+  "creditLine": "Rembrandt van Rijn (Public Domain)",
+  "dimensions": []
+}
\ No newline at end of file
diff --git a/output/metadata_1770020944859.json b/output/metadata_1770020944859.json
new file mode 100644
index 0000000..5a389b8
--- /dev/null
+++ b/output/metadata_1770020944859.json
@@ -0,0 +1,13 @@
+{
+  "title": "The Great Wave off Kanagawa",
+  "artist": "Katsushika Hokusai",
+  "year": "1831",
+  "description": "The Great Wave off Kanagawa is a masterpiece created by Katsushika Hokusai in 1831. This artwork is now in the public domain and represents a significant contribution to art history.",
+  "objectNumber": "PD-1770020944859",
+  "imageUrl": "https://upload.wikimedia.org/wikipedia/commons/thumb/0/0a/The_Great_Wave_off_Kanagawa.jpg/1920px-The_Great_Wave_off_Kanagawa.jpg",
+  "localPath": "/root/Projects/animate-museum-posts/output/artwork_1770020944859.jpg",
+  "fileName": "artwork_1770020944859.jpg",
+  "museum": "Public Domain Collection",
+  "creditLine": "Katsushika Hokusai (Public Domain)",
+  "dimensions": []
+}
\ No newline at end of file
diff --git a/output/metadata_1770035327832.json b/output/metadata_1770035327832.json
new file mode 100644
index 0000000..d43caf1
--- /dev/null
+++ b/output/metadata_1770035327832.json
@@ -0,0 +1,13 @@
+{
+  "title": "Liberty Leading the People",
+  "artist": "Eugène Delacroix",
+  "year": "1830",
+  "description": "Liberty Leading the People is a masterpiece created by Eugène Delacroix in 1830. This artwork is now in the public domain and represents a significant contribution to art history.",
+  "objectNumber": "PD-1770035327832",
+  "imageUrl": "https://upload.wikimedia.org/wikipedia/commons/thumb/5/5d/Eug%C3%A8ne_Delacroix_-_Le_28_Juillet._La_Libert%C3%A9_guidant_le_peuple.jpg/1920px-Eug%C3%A8ne_Delacroix_-_Le_28_Juillet._La_Libert%C3%A9_guidant_le_peuple.jpg",
+  "localPath": "/root/Projects/animate-museum-posts/output/artwork_1770035327832.jpg",
+  "fileName": "artwork_1770035327832.jpg",
+  "museum": "Public Domain Collection",
+  "creditLine": "Eugène Delacroix (Public Domain)",
+  "dimensions": []
+}
\ No newline at end of file
diff --git a/output/metadata_1770044154986.json b/output/metadata_1770044154986.json
new file mode 100644
index 0000000..4ca4e04
--- /dev/null
+++ b/output/metadata_1770044154986.json
@@ -0,0 +1,13 @@
+{
+  "title": "The Arnolfini Portrait",
+  "artist": "Jan van Eyck",
+  "year": "1434",
+  "description": "The Arnolfini Portrait is a masterpiece created by Jan van Eyck in 1434. This artwork is now in the public domain and represents a significant contribution to art history.",
+  "objectNumber": "PD-1770044154986",
+  "imageUrl": "https://upload.wikimedia.org/wikipedia/commons/thumb/3/33/Van_Eyck_-_Arnolfini_Portrait.jpg/800px-Van_Eyck_-_Arnolfini_Portrait.jpg",
+  "localPath": "/root/Projects/animate-museum-posts/output/artwork_1770044154986.jpg",
+  "fileName": "artwork_1770044154986.jpg",
+  "museum": "Public Domain Collection",
+  "creditLine": "Jan van Eyck (Public Domain)",
+  "dimensions": []
+}
\ No newline at end of file
diff --git a/output/metadata_1770089254297.json b/output/metadata_1770089254297.json
new file mode 100644
index 0000000..a1802db
--- /dev/null
+++ b/output/metadata_1770089254297.json
@@ -0,0 +1,13 @@
+{
+  "title": "The Night Watch",
+  "artist": "Rembrandt van Rijn",
+  "year": "1642",
+  "description": "The Night Watch is a masterpiece created by Rembrandt van Rijn in 1642. This artwork is now in the public domain and represents a significant contribution to art history.",
+  "objectNumber": "PD-1770089254297",
+  "imageUrl": "https://upload.wikimedia.org/wikipedia/commons/thumb/5/5a/The_Night_Watch_-_HD.jpg/1920px-The_Night_Watch_-_HD.jpg",
+  "localPath": "/root/Projects/animate-museum-posts/output/artwork_1770089254297.jpg",
+  "fileName": "artwork_1770089254297.jpg",
+  "museum": "Public Domain Collection",
+  "creditLine": "Rembrandt van Rijn (Public Domain)",
+  "dimensions": []
+}
\ No newline at end of file
diff --git a/output/metadata_1770098561130.json b/output/metadata_1770098561130.json
new file mode 100644
index 0000000..0163d03
--- /dev/null
+++ b/output/metadata_1770098561130.json
@@ -0,0 +1,13 @@
+{
+  "title": "Girl with a Pearl Earring",
+  "artist": "Johannes Vermeer",
+  "year": "1665",
+  "description": "Girl with a Pearl Earring is a masterpiece created by Johannes Vermeer in 1665. This artwork is now in the public domain and represents a significant contribution to art history.",
+  "objectNumber": "PD-1770098561130",
+  "imageUrl": "https://upload.wikimedia.org/wikipedia/commons/thumb/0/0f/1665_Girl_with_a_Pearl_Earring.jpg/800px-1665_Girl_with_a_Pearl_Earring.jpg",
+  "localPath": "/root/Projects/animate-museum-posts/output/artwork_1770098561130.jpg",
+  "fileName": "artwork_1770098561130.jpg",
+  "museum": "Public Domain Collection",
+  "creditLine": "Johannes Vermeer (Public Domain)",
+  "dimensions": []
+}
\ No newline at end of file
diff --git a/output/metadata_1770117556959.json b/output/metadata_1770117556959.json
new file mode 100644
index 0000000..5a7240b
--- /dev/null
+++ b/output/metadata_1770117556959.json
@@ -0,0 +1,13 @@
+{
+  "title": "Girl with a Pearl Earring",
+  "artist": "Johannes Vermeer",
+  "year": "1665",
+  "description": "Girl with a Pearl Earring is a masterpiece created by Johannes Vermeer in 1665. This artwork is now in the public domain and represents a significant contribution to art history.",
+  "objectNumber": "PD-1770117556959",
+  "imageUrl": "https://upload.wikimedia.org/wikipedia/commons/thumb/0/0f/1665_Girl_with_a_Pearl_Earring.jpg/800px-1665_Girl_with_a_Pearl_Earring.jpg",
+  "localPath": "/root/Projects/animate-museum-posts/output/artwork_1770117556959.jpg",
+  "fileName": "artwork_1770117556959.jpg",
+  "museum": "Public Domain Collection",
+  "creditLine": "Johannes Vermeer (Public Domain)",
+  "dimensions": []
+}
\ No newline at end of file
diff --git a/output/metadata_1770120000835.json b/output/metadata_1770120000835.json
new file mode 100644
index 0000000..5e4afc7
--- /dev/null
+++ b/output/metadata_1770120000835.json
@@ -0,0 +1,13 @@
+{
+  "title": "Liberty Leading the People",
+  "artist": "Eugène Delacroix",
+  "year": "1830",
+  "description": "Liberty Leading the People is a masterpiece created by Eugène Delacroix in 1830. This artwork is now in the public domain and represents a significant contribution to art history.",
+  "objectNumber": "PD-1770120000835",
+  "imageUrl": "https://upload.wikimedia.org/wikipedia/commons/thumb/5/5d/Eug%C3%A8ne_Delacroix_-_Le_28_Juillet._La_Libert%C3%A9_guidant_le_peuple.jpg/1920px-Eug%C3%A8ne_Delacroix_-_Le_28_Juillet._La_Libert%C3%A9_guidant_le_peuple.jpg",
+  "localPath": "/root/Projects/animate-museum-posts/output/artwork_1770120000835.jpg",
+  "fileName": "artwork_1770120000835.jpg",
+  "museum": "Public Domain Collection",
+  "creditLine": "Eugène Delacroix (Public Domain)",
+  "dimensions": []
+}
\ No newline at end of file
diff --git a/output/metadata_1770125167080.json b/output/metadata_1770125167080.json
new file mode 100644
index 0000000..4b20fca
--- /dev/null
+++ b/output/metadata_1770125167080.json
@@ -0,0 +1,13 @@
+{
+  "title": "The Starry Night",
+  "artist": "Vincent van Gogh",
+  "year": "1889",
+  "description": "The Starry Night is a masterpiece created by Vincent van Gogh in 1889. This artwork is now in the public domain and represents a significant contribution to art history.",
+  "objectNumber": "PD-1770125167080",
+  "imageUrl": "https://upload.wikimedia.org/wikipedia/commons/thumb/e/ea/Van_Gogh_-_Starry_Night_-_Google_Art_Project.jpg/1920px-Van_Gogh_-_Starry_Night_-_Google_Art_Project.jpg",
+  "localPath": "/root/Projects/animate-museum-posts/output/artwork_1770125167080.jpg",
+  "fileName": "artwork_1770125167080.jpg",
+  "museum": "Public Domain Collection",
+  "creditLine": "Vincent van Gogh (Public Domain)",
+  "dimensions": []
+}
\ No newline at end of file
diff --git a/output/metadata_1770195505488.json b/output/metadata_1770195505488.json
new file mode 100644
index 0000000..93aa920
--- /dev/null
+++ b/output/metadata_1770195505488.json
@@ -0,0 +1,13 @@
+{
+  "title": "Las Meninas",
+  "artist": "Diego Velázquez",
+  "year": "1656",
+  "description": "Las Meninas is a masterpiece created by Diego Velázquez in 1656. This artwork is now in the public domain and represents a significant contribution to art history.",
+  "objectNumber": "PD-1770195505488",
+  "imageUrl": "https://upload.wikimedia.org/wikipedia/commons/thumb/3/31/Las_Meninas%2C_by_Diego_Vel%C3%A1zquez%2C_from_Prado_in_Google_Earth.jpg/1200px-Las_Meninas%2C_by_Diego_Vel%C3%A1zquez%2C_from_Prado_in_Google_Earth.jpg",
+  "localPath": "/root/Projects/animate-museum-posts/output/artwork_1770195505488.jpg",
+  "fileName": "artwork_1770195505488.jpg",
+  "museum": "Public Domain Collection",
+  "creditLine": "Diego Velázquez (Public Domain)",
+  "dimensions": []
+}
\ No newline at end of file
diff --git a/output/metadata_1770210985020.json b/output/metadata_1770210985020.json
new file mode 100644
index 0000000..22d1aad
--- /dev/null
+++ b/output/metadata_1770210985020.json
@@ -0,0 +1,13 @@
+{
+  "title": "Wanderer above the Sea of Fog",
+  "artist": "Caspar David Friedrich",
+  "year": "1818",
+  "description": "Wanderer above the Sea of Fog is a masterpiece created by Caspar David Friedrich in 1818. This artwork is now in the public domain and represents a significant contribution to art history.",
+  "objectNumber": "PD-1770210985020",
+  "imageUrl": "https://upload.wikimedia.org/wikipedia/commons/thumb/b/b9/Caspar_David_Friedrich_-_Wanderer_above_the_sea_of_fog.jpg/800px-Caspar_David_Friedrich_-_Wanderer_above_the_sea_of_fog.jpg",
+  "localPath": "/root/Projects/animate-museum-posts/output/artwork_1770210985020.jpg",
+  "fileName": "artwork_1770210985020.jpg",
+  "museum": "Public Domain Collection",
+  "creditLine": "Caspar David Friedrich (Public Domain)",
+  "dimensions": []
+}
\ No newline at end of file
diff --git a/output/metadata_1770231056684.json b/output/metadata_1770231056684.json
new file mode 100644
index 0000000..5cd01b7
--- /dev/null
+++ b/output/metadata_1770231056684.json
@@ -0,0 +1,13 @@
+{
+  "title": "The Night Watch",
+  "artist": "Rembrandt van Rijn",
+  "year": "1642",
+  "description": "The Night Watch is a masterpiece created by Rembrandt van Rijn in 1642. This artwork is now in the public domain and represents a significant contribution to art history.",
+  "objectNumber": "PD-1770231056684",
+  "imageUrl": "https://upload.wikimedia.org/wikipedia/commons/thumb/5/5a/The_Night_Watch_-_HD.jpg/1920px-The_Night_Watch_-_HD.jpg",
+  "localPath": "/root/Projects/animate-museum-posts/output/artwork_1770231056684.jpg",
+  "fileName": "artwork_1770231056684.jpg",
+  "museum": "Public Domain Collection",
+  "creditLine": "Rembrandt van Rijn (Public Domain)",
+  "dimensions": []
+}
\ No newline at end of file
diff --git a/output/metadata_1770277360291.json b/output/metadata_1770277360291.json
new file mode 100644
index 0000000..8f5fbb6
--- /dev/null
+++ b/output/metadata_1770277360291.json
@@ -0,0 +1,13 @@
+{
+  "title": "Wanderer above the Sea of Fog",
+  "artist": "Caspar David Friedrich",
+  "year": "1818",
+  "description": "Wanderer above the Sea of Fog is a masterpiece created by Caspar David Friedrich in 1818. This artwork is now in the public domain and represents a significant contribution to art history.",
+  "objectNumber": "PD-1770277360291",
+  "imageUrl": "https://upload.wikimedia.org/wikipedia/commons/thumb/b/b9/Caspar_David_Friedrich_-_Wanderer_above_the_sea_of_fog.jpg/800px-Caspar_David_Friedrich_-_Wanderer_above_the_sea_of_fog.jpg",
+  "localPath": "/root/Projects/animate-museum-posts/output/artwork_1770277360291.jpg",
+  "fileName": "artwork_1770277360291.jpg",
+  "museum": "Public Domain Collection",
+  "creditLine": "Caspar David Friedrich (Public Domain)",
+  "dimensions": []
+}
\ No newline at end of file
diff --git a/output/metadata_1770288361064.json b/output/metadata_1770288361064.json
new file mode 100644
index 0000000..93e78ad
--- /dev/null
+++ b/output/metadata_1770288361064.json
@@ -0,0 +1,13 @@
+{
+  "title": "Girl with a Pearl Earring",
+  "artist": "Johannes Vermeer",
+  "year": "1665",
+  "description": "Girl with a Pearl Earring is a masterpiece created by Johannes Vermeer in 1665. This artwork is now in the public domain and represents a significant contribution to art history.",
+  "objectNumber": "PD-1770288361064",
+  "imageUrl": "https://upload.wikimedia.org/wikipedia/commons/thumb/0/0f/1665_Girl_with_a_Pearl_Earring.jpg/800px-1665_Girl_with_a_Pearl_Earring.jpg",
+  "localPath": "/root/Projects/animate-museum-posts/output/artwork_1770288361064.jpg",
+  "fileName": "artwork_1770288361064.jpg",
+  "museum": "Public Domain Collection",
+  "creditLine": "Johannes Vermeer (Public Domain)",
+  "dimensions": []
+}
\ No newline at end of file
diff --git a/output/metadata_1770295495989.json b/output/metadata_1770295495989.json
new file mode 100644
index 0000000..6f76a7a
--- /dev/null
+++ b/output/metadata_1770295495989.json
@@ -0,0 +1,13 @@
+{
+  "title": "Las Meninas",
+  "artist": "Diego Velázquez",
+  "year": "1656",
+  "description": "Las Meninas is a masterpiece created by Diego Velázquez in 1656. This artwork is now in the public domain and represents a significant contribution to art history.",
+  "objectNumber": "PD-1770295495989",
+  "imageUrl": "https://upload.wikimedia.org/wikipedia/commons/thumb/3/31/Las_Meninas%2C_by_Diego_Vel%C3%A1zquez%2C_from_Prado_in_Google_Earth.jpg/1200px-Las_Meninas%2C_by_Diego_Vel%C3%A1zquez%2C_from_Prado_in_Google_Earth.jpg",
+  "localPath": "/root/Projects/animate-museum-posts/output/artwork_1770295495989.jpg",
+  "fileName": "artwork_1770295495989.jpg",
+  "museum": "Public Domain Collection",
+  "creditLine": "Diego Velázquez (Public Domain)",
+  "dimensions": []
+}
\ No newline at end of file
diff --git a/output/metadata_1770302991852.json b/output/metadata_1770302991852.json
new file mode 100644
index 0000000..1e6de7a
--- /dev/null
+++ b/output/metadata_1770302991852.json
@@ -0,0 +1,13 @@
+{
+  "title": "Girl with a Pearl Earring",
+  "artist": "Johannes Vermeer",
+  "year": "1665",
+  "description": "Girl with a Pearl Earring is a masterpiece created by Johannes Vermeer in 1665. This artwork is now in the public domain and represents a significant contribution to art history.",
+  "objectNumber": "PD-1770302991852",
+  "imageUrl": "https://upload.wikimedia.org/wikipedia/commons/thumb/0/0f/1665_Girl_with_a_Pearl_Earring.jpg/800px-1665_Girl_with_a_Pearl_Earring.jpg",
+  "localPath": "/root/Projects/animate-museum-posts/output/artwork_1770302991852.jpg",
+  "fileName": "artwork_1770302991852.jpg",
+  "museum": "Public Domain Collection",
+  "creditLine": "Johannes Vermeer (Public Domain)",
+  "dimensions": []
+}
\ No newline at end of file
diff --git a/output/metadata_1770323423731.json b/output/metadata_1770323423731.json
new file mode 100644
index 0000000..0eb00d8
--- /dev/null
+++ b/output/metadata_1770323423731.json
@@ -0,0 +1,13 @@
+{
+  "title": "Girl with a Pearl Earring",
+  "artist": "Johannes Vermeer",
+  "year": "1665",
+  "description": "Girl with a Pearl Earring is a masterpiece created by Johannes Vermeer in 1665. This artwork is now in the public domain and represents a significant contribution to art history.",
+  "objectNumber": "PD-1770323423731",
+  "imageUrl": "https://upload.wikimedia.org/wikipedia/commons/thumb/0/0f/1665_Girl_with_a_Pearl_Earring.jpg/800px-1665_Girl_with_a_Pearl_Earring.jpg",
+  "localPath": "/root/Projects/animate-museum-posts/output/artwork_1770323423731.jpg",
+  "fileName": "artwork_1770323423731.jpg",
+  "museum": "Public Domain Collection",
+  "creditLine": "Johannes Vermeer (Public Domain)",
+  "dimensions": []
+}
\ No newline at end of file
diff --git a/output/metadata_1770326084840.json b/output/metadata_1770326084840.json
new file mode 100644
index 0000000..968f478
--- /dev/null
+++ b/output/metadata_1770326084840.json
@@ -0,0 +1,13 @@
+{
+  "title": "Sunflowers",
+  "artist": "Vincent van Gogh",
+  "year": "1888",
+  "description": "Sunflowers is a masterpiece created by Vincent van Gogh in 1888. This artwork is now in the public domain and represents a significant contribution to art history.",
+  "objectNumber": "PD-1770326084840",
+  "imageUrl": "https://upload.wikimedia.org/wikipedia/commons/thumb/4/46/Vincent_Willem_van_Gogh_127.jpg/800px-Vincent_Willem_van_Gogh_127.jpg",
+  "localPath": "/root/Projects/animate-museum-posts/output/artwork_1770326084840.jpg",
+  "fileName": "artwork_1770326084840.jpg",
+  "museum": "Public Domain Collection",
+  "creditLine": "Vincent van Gogh (Public Domain)",
+  "dimensions": []
+}
\ No newline at end of file
diff --git a/output/metadata_1770336000687.json b/output/metadata_1770336000687.json
new file mode 100644
index 0000000..d227141
--- /dev/null
+++ b/output/metadata_1770336000687.json
@@ -0,0 +1,13 @@
+{
+  "title": "The Starry Night",
+  "artist": "Vincent van Gogh",
+  "year": "1889",
+  "description": "The Starry Night is a masterpiece created by Vincent van Gogh in 1889. This artwork is now in the public domain and represents a significant contribution to art history.",
+  "objectNumber": "PD-1770336000687",
+  "imageUrl": "https://upload.wikimedia.org/wikipedia/commons/thumb/e/ea/Van_Gogh_-_Starry_Night_-_Google_Art_Project.jpg/1920px-Van_Gogh_-_Starry_Night_-_Google_Art_Project.jpg",
+  "localPath": "/root/Projects/animate-museum-posts/output/artwork_1770336000687.jpg",
+  "fileName": "artwork_1770336000687.jpg",
+  "museum": "Public Domain Collection",
+  "creditLine": "Vincent van Gogh (Public Domain)",
+  "dimensions": []
+}
\ No newline at end of file
diff --git a/output/metadata_1770339021052.json b/output/metadata_1770339021052.json
new file mode 100644
index 0000000..64184df
--- /dev/null
+++ b/output/metadata_1770339021052.json
@@ -0,0 +1,13 @@
+{
+  "title": "Girl with a Pearl Earring",
+  "artist": "Johannes Vermeer",
+  "year": "1665",
+  "description": "Girl with a Pearl Earring is a masterpiece created by Johannes Vermeer in 1665. This artwork is now in the public domain and represents a significant contribution to art history.",
+  "objectNumber": "PD-1770339021052",
+  "imageUrl": "https://upload.wikimedia.org/wikipedia/commons/thumb/0/0f/1665_Girl_with_a_Pearl_Earring.jpg/800px-1665_Girl_with_a_Pearl_Earring.jpg",
+  "localPath": "/root/Projects/animate-museum-posts/output/artwork_1770339021052.jpg",
+  "fileName": "artwork_1770339021052.jpg",
+  "museum": "Public Domain Collection",
+  "creditLine": "Johannes Vermeer (Public Domain)",
+  "dimensions": []
+}
\ No newline at end of file
diff --git a/output/metadata_1770362717875.json b/output/metadata_1770362717875.json
new file mode 100644
index 0000000..0efdb16
--- /dev/null
+++ b/output/metadata_1770362717875.json
@@ -0,0 +1,13 @@
+{
+  "title": "Wanderer above the Sea of Fog",
+  "artist": "Caspar David Friedrich",
+  "year": "1818",
+  "description": "Wanderer above the Sea of Fog is a masterpiece created by Caspar David Friedrich in 1818. This artwork is now in the public domain and represents a significant contribution to art history.",
+  "objectNumber": "PD-1770362717875",
+  "imageUrl": "https://upload.wikimedia.org/wikipedia/commons/thumb/b/b9/Caspar_David_Friedrich_-_Wanderer_above_the_sea_of_fog.jpg/800px-Caspar_David_Friedrich_-_Wanderer_above_the_sea_of_fog.jpg",
+  "localPath": "/root/Projects/animate-museum-posts/output/artwork_1770362717875.jpg",
+  "fileName": "artwork_1770362717875.jpg",
+  "museum": "Public Domain Collection",
+  "creditLine": "Caspar David Friedrich (Public Domain)",
+  "dimensions": []
+}
\ No newline at end of file
diff --git a/output/metadata_1770362957605.json b/output/metadata_1770362957605.json
new file mode 100644
index 0000000..551b6a4
--- /dev/null
+++ b/output/metadata_1770362957605.json
@@ -0,0 +1,13 @@
+{
+  "title": "The Garden of Earthly Delights",
+  "artist": "Hieronymus Bosch",
+  "year": "1515",
+  "description": "The Garden of Earthly Delights is a masterpiece created by Hieronymus Bosch in 1515. This artwork is now in the public domain and represents a significant contribution to art history.",
+  "objectNumber": "PD-1770362957605",
+  "imageUrl": "https://upload.wikimedia.org/wikipedia/commons/thumb/a/ae/El_jard%C3%ADn_de_las_Delicias%2C_de_El_Bosco.jpg/1920px-El_jard%C3%ADn_de_las_Delicias%2C_de_El_Bosco.jpg",
+  "localPath": "/root/Projects/animate-museum-posts/output/artwork_1770362957605.jpg",
+  "fileName": "artwork_1770362957605.jpg",
+  "museum": "Public Domain Collection",
+  "creditLine": "Hieronymus Bosch (Public Domain)",
+  "dimensions": []
+}
\ No newline at end of file
diff --git a/output/metadata_1770363320841.json b/output/metadata_1770363320841.json
new file mode 100644
index 0000000..c26221e
--- /dev/null
+++ b/output/metadata_1770363320841.json
@@ -0,0 +1,13 @@
+{
+  "title": "Liberty Leading the People",
+  "artist": "Eugène Delacroix",
+  "year": "1830",
+  "description": "Liberty Leading the People is a masterpiece created by Eugène Delacroix in 1830. This artwork is now in the public domain and represents a significant contribution to art history.",
+  "objectNumber": "PD-1770363320841",
+  "imageUrl": "https://upload.wikimedia.org/wikipedia/commons/thumb/5/5d/Eug%C3%A8ne_Delacroix_-_Le_28_Juillet._La_Libert%C3%A9_guidant_le_peuple.jpg/1920px-Eug%C3%A8ne_Delacroix_-_Le_28_Juillet._La_Libert%C3%A9_guidant_le_peuple.jpg",
+  "localPath": "/root/Projects/animate-museum-posts/output/artwork_1770363320841.jpg",
+  "fileName": "artwork_1770363320841.jpg",
+  "museum": "Public Domain Collection",
+  "creditLine": "Eugène Delacroix (Public Domain)",
+  "dimensions": []
+}
\ No newline at end of file
diff --git a/output/metadata_1770363442632.json b/output/metadata_1770363442632.json
new file mode 100644
index 0000000..a8897ed
--- /dev/null
+++ b/output/metadata_1770363442632.json
@@ -0,0 +1,13 @@
+{
+  "title": "Wanderer above the Sea of Fog",
+  "artist": "Caspar David Friedrich",
+  "year": "1818",
+  "description": "Wanderer above the Sea of Fog is a masterpiece created by Caspar David Friedrich in 1818. This artwork is now in the public domain and represents a significant contribution to art history.",
+  "objectNumber": "PD-1770363442632",
+  "imageUrl": "https://upload.wikimedia.org/wikipedia/commons/thumb/b/b9/Caspar_David_Friedrich_-_Wanderer_above_the_sea_of_fog.jpg/800px-Caspar_David_Friedrich_-_Wanderer_above_the_sea_of_fog.jpg",
+  "localPath": "/root/Projects/animate-museum-posts/output/artwork_1770363442632.jpg",
+  "fileName": "artwork_1770363442632.jpg",
+  "museum": "Public Domain Collection",
+  "creditLine": "Caspar David Friedrich (Public Domain)",
+  "dimensions": []
+}
\ No newline at end of file
diff --git a/output/metadata_1770363687872.json b/output/metadata_1770363687872.json
new file mode 100644
index 0000000..363397a
--- /dev/null
+++ b/output/metadata_1770363687872.json
@@ -0,0 +1,13 @@
+{
+  "title": "Liberty Leading the People",
+  "artist": "Eugène Delacroix",
+  "year": "1830",
+  "description": "Liberty Leading the People is a masterpiece created by Eugène Delacroix in 1830. This artwork is now in the public domain and represents a significant contribution to art history.",
+  "objectNumber": "PD-1770363687872",
+  "imageUrl": "https://upload.wikimedia.org/wikipedia/commons/thumb/5/5d/Eug%C3%A8ne_Delacroix_-_Le_28_Juillet._La_Libert%C3%A9_guidant_le_peuple.jpg/1920px-Eug%C3%A8ne_Delacroix_-_Le_28_Juillet._La_Libert%C3%A9_guidant_le_peuple.jpg",
+  "localPath": "/root/Projects/animate-museum-posts/output/artwork_1770363687872.jpg",
+  "fileName": "artwork_1770363687872.jpg",
+  "museum": "Public Domain Collection",
+  "creditLine": "Eugène Delacroix (Public Domain)",
+  "dimensions": []
+}
\ No newline at end of file
diff --git a/output/metadata_1770365013472.json b/output/metadata_1770365013472.json
new file mode 100644
index 0000000..f41b846
--- /dev/null
+++ b/output/metadata_1770365013472.json
@@ -0,0 +1,13 @@
+{
+  "title": "The Great Wave off Kanagawa",
+  "artist": "Katsushika Hokusai",
+  "year": "1831",
+  "description": "The Great Wave off Kanagawa is a masterpiece created by Katsushika Hokusai in 1831. This artwork is now in the public domain and represents a significant contribution to art history.",
+  "objectNumber": "PD-1770365013472",
+  "imageUrl": "https://upload.wikimedia.org/wikipedia/commons/thumb/0/0a/The_Great_Wave_off_Kanagawa.jpg/1920px-The_Great_Wave_off_Kanagawa.jpg",
+  "localPath": "/root/Projects/animate-museum-posts/output/artwork_1770365013472.jpg",
+  "fileName": "artwork_1770365013472.jpg",
+  "museum": "Public Domain Collection",
+  "creditLine": "Katsushika Hokusai (Public Domain)",
+  "dimensions": []
+}
\ No newline at end of file
diff --git a/output/metadata_1770365135248.json b/output/metadata_1770365135248.json
new file mode 100644
index 0000000..c3365d9
--- /dev/null
+++ b/output/metadata_1770365135248.json
@@ -0,0 +1,13 @@
+{
+  "title": "Girl with a Pearl Earring",
+  "artist": "Johannes Vermeer",
+  "year": "1665",
+  "description": "Girl with a Pearl Earring is a masterpiece created by Johannes Vermeer in 1665. This artwork is now in the public domain and represents a significant contribution to art history.",
+  "objectNumber": "PD-1770365135248",
+  "imageUrl": "https://upload.wikimedia.org/wikipedia/commons/thumb/0/0f/1665_Girl_with_a_Pearl_Earring.jpg/800px-1665_Girl_with_a_Pearl_Earring.jpg",
+  "localPath": "/root/Projects/animate-museum-posts/output/artwork_1770365135248.jpg",
+  "fileName": "artwork_1770365135248.jpg",
+  "museum": "Public Domain Collection",
+  "creditLine": "Johannes Vermeer (Public Domain)",
+  "dimensions": []
+}
\ No newline at end of file
diff --git a/output/metadata_1770365256192.json b/output/metadata_1770365256192.json
new file mode 100644
index 0000000..d3476d9
--- /dev/null
+++ b/output/metadata_1770365256192.json
@@ -0,0 +1,13 @@
+{
+  "title": "The Great Wave off Kanagawa",
+  "artist": "Katsushika Hokusai",
+  "year": "1831",
+  "description": "The Great Wave off Kanagawa is a masterpiece created by Katsushika Hokusai in 1831. This artwork is now in the public domain and represents a significant contribution to art history.",
+  "objectNumber": "PD-1770365256192",
+  "imageUrl": "https://upload.wikimedia.org/wikipedia/commons/thumb/0/0a/The_Great_Wave_off_Kanagawa.jpg/1920px-The_Great_Wave_off_Kanagawa.jpg",
+  "localPath": "/root/Projects/animate-museum-posts/output/artwork_1770365256192.jpg",
+  "fileName": "artwork_1770365256192.jpg",
+  "museum": "Public Domain Collection",
+  "creditLine": "Katsushika Hokusai (Public Domain)",
+  "dimensions": []
+}
\ No newline at end of file
diff --git a/output/metadata_1770379201423.json b/output/metadata_1770379201423.json
new file mode 100644
index 0000000..36c737b
--- /dev/null
+++ b/output/metadata_1770379201423.json
@@ -0,0 +1,13 @@
+{
+  "title": "The Garden of Earthly Delights",
+  "artist": "Hieronymus Bosch",
+  "year": "1515",
+  "description": "The Garden of Earthly Delights is a masterpiece created by Hieronymus Bosch in 1515. This artwork is now in the public domain and represents a significant contribution to art history.",
+  "objectNumber": "PD-1770379201423",
+  "imageUrl": "https://upload.wikimedia.org/wikipedia/commons/thumb/a/ae/El_jard%C3%ADn_de_las_Delicias%2C_de_El_Bosco.jpg/1920px-El_jard%C3%ADn_de_las_Delicias%2C_de_El_Bosco.jpg",
+  "localPath": "/root/Projects/animate-museum-posts/output/artwork_1770379201423.jpg",
+  "fileName": "artwork_1770379201423.jpg",
+  "museum": "Public Domain Collection",
+  "creditLine": "Hieronymus Bosch (Public Domain)",
+  "dimensions": []
+}
\ No newline at end of file
diff --git a/output/metadata_1770400804167.json b/output/metadata_1770400804167.json
new file mode 100644
index 0000000..f9040e1
--- /dev/null
+++ b/output/metadata_1770400804167.json
@@ -0,0 +1,13 @@
+{
+  "title": "The Starry Night",
+  "artist": "Vincent van Gogh",
+  "year": "1889",
+  "description": "The Starry Night is a masterpiece created by Vincent van Gogh in 1889. This artwork is now in the public domain and represents a significant contribution to art history.",
+  "objectNumber": "PD-1770400804167",
+  "imageUrl": "https://upload.wikimedia.org/wikipedia/commons/thumb/e/ea/Van_Gogh_-_Starry_Night_-_Google_Art_Project.jpg/1920px-Van_Gogh_-_Starry_Night_-_Google_Art_Project.jpg",
+  "localPath": "/root/Projects/animate-museum-posts/output/artwork_1770400804167.jpg",
+  "fileName": "artwork_1770400804167.jpg",
+  "museum": "Public Domain Collection",
+  "creditLine": "Vincent van Gogh (Public Domain)",
+  "dimensions": []
+}
\ No newline at end of file
diff --git a/output/metadata_1770403453727.json b/output/metadata_1770403453727.json
new file mode 100644
index 0000000..9c72330
--- /dev/null
+++ b/output/metadata_1770403453727.json
@@ -0,0 +1,13 @@
+{
+  "title": "The Night Watch",
+  "artist": "Rembrandt van Rijn",
+  "year": "1642",
+  "description": "The Night Watch is a masterpiece created by Rembrandt van Rijn in 1642. This artwork is now in the public domain and represents a significant contribution to art history.",
+  "objectNumber": "PD-1770403453727",
+  "imageUrl": "https://upload.wikimedia.org/wikipedia/commons/thumb/5/5a/The_Night_Watch_-_HD.jpg/1920px-The_Night_Watch_-_HD.jpg",
+  "localPath": "/root/Projects/animate-museum-posts/output/artwork_1770403453727.jpg",
+  "fileName": "artwork_1770403453727.jpg",
+  "museum": "Public Domain Collection",
+  "creditLine": "Rembrandt van Rijn (Public Domain)",
+  "dimensions": []
+}
\ No newline at end of file
diff --git a/output/metadata_1770403936465.json b/output/metadata_1770403936465.json
new file mode 100644
index 0000000..e9d59ed
--- /dev/null
+++ b/output/metadata_1770403936465.json
@@ -0,0 +1,13 @@
+{
+  "title": "Liberty Leading the People",
+  "artist": "Eugène Delacroix",
+  "year": "1830",
+  "description": "Liberty Leading the People is a masterpiece created by Eugène Delacroix in 1830. This artwork is now in the public domain and represents a significant contribution to art history.",
+  "objectNumber": "PD-1770403936465",
+  "imageUrl": "https://upload.wikimedia.org/wikipedia/commons/thumb/5/5d/Eug%C3%A8ne_Delacroix_-_Le_28_Juillet._La_Libert%C3%A9_guidant_le_peuple.jpg/1920px-Eug%C3%A8ne_Delacroix_-_Le_28_Juillet._La_Libert%C3%A9_guidant_le_peuple.jpg",
+  "localPath": "/root/Projects/animate-museum-posts/output/artwork_1770403936465.jpg",
+  "fileName": "artwork_1770403936465.jpg",
+  "museum": "Public Domain Collection",
+  "creditLine": "Eugène Delacroix (Public Domain)",
+  "dimensions": []
+}
\ No newline at end of file
diff --git a/output/metadata_1770404299077.json b/output/metadata_1770404299077.json
new file mode 100644
index 0000000..cd1854f
--- /dev/null
+++ b/output/metadata_1770404299077.json
@@ -0,0 +1,13 @@
+{
+  "title": "The Great Wave off Kanagawa",
+  "artist": "Katsushika Hokusai",
+  "year": "1831",
+  "description": "The Great Wave off Kanagawa is a masterpiece created by Katsushika Hokusai in 1831. This artwork is now in the public domain and represents a significant contribution to art history.",
+  "objectNumber": "PD-1770404299077",
+  "imageUrl": "https://upload.wikimedia.org/wikipedia/commons/thumb/0/0a/The_Great_Wave_off_Kanagawa.jpg/1920px-The_Great_Wave_off_Kanagawa.jpg",
+  "localPath": "/root/Projects/animate-museum-posts/output/artwork_1770404299077.jpg",
+  "fileName": "artwork_1770404299077.jpg",
+  "museum": "Public Domain Collection",
+  "creditLine": "Katsushika Hokusai (Public Domain)",
+  "dimensions": []
+}
\ No newline at end of file
diff --git a/output/metadata_1770404783572.json b/output/metadata_1770404783572.json
new file mode 100644
index 0000000..c3ccb6a
--- /dev/null
+++ b/output/metadata_1770404783572.json
@@ -0,0 +1,13 @@
+{
+  "title": "Wanderer above the Sea of Fog",
+  "artist": "Caspar David Friedrich",
+  "year": "1818",
+  "description": "Wanderer above the Sea of Fog is a masterpiece created by Caspar David Friedrich in 1818. This artwork is now in the public domain and represents a significant contribution to art history.",
+  "objectNumber": "PD-1770404783572",
+  "imageUrl": "https://upload.wikimedia.org/wikipedia/commons/thumb/b/b9/Caspar_David_Friedrich_-_Wanderer_above_the_sea_of_fog.jpg/800px-Caspar_David_Friedrich_-_Wanderer_above_the_sea_of_fog.jpg",
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+  "fileName": "artwork_1770404783572.jpg",
+  "museum": "Public Domain Collection",
+  "creditLine": "Caspar David Friedrich (Public Domain)",
+  "dimensions": []
+}
\ No newline at end of file
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new file mode 100644
index 0000000..c0eb05f
--- /dev/null
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+{
+  "title": "The Starry Night",
+  "artist": "Vincent van Gogh",
+  "year": "1889",
+  "description": "The Starry Night is a masterpiece created by Vincent van Gogh in 1889. This artwork is now in the public domain and represents a significant contribution to art history.",
+  "objectNumber": "PD-1770405388375",
+  "imageUrl": "https://upload.wikimedia.org/wikipedia/commons/thumb/e/ea/Van_Gogh_-_Starry_Night_-_Google_Art_Project.jpg/1920px-Van_Gogh_-_Starry_Night_-_Google_Art_Project.jpg",
+  "localPath": "/root/Projects/animate-museum-posts/output/artwork_1770405388375.jpg",
+  "fileName": "artwork_1770405388375.jpg",
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+}
\ No newline at end of file
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new file mode 100644
index 0000000..487c5a5
--- /dev/null
+++ b/output/metadata_1770405629028.json
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+  "title": "The Garden of Earthly Delights",
+  "artist": "Hieronymus Bosch",
+  "year": "1515",
+  "description": "The Garden of Earthly Delights is a masterpiece created by Hieronymus Bosch in 1515. This artwork is now in the public domain and represents a significant contribution to art history.",
+  "objectNumber": "PD-1770405629028",
+  "imageUrl": "https://upload.wikimedia.org/wikipedia/commons/thumb/a/ae/El_jard%C3%ADn_de_las_Delicias%2C_de_El_Bosco.jpg/1920px-El_jard%C3%ADn_de_las_Delicias%2C_de_El_Bosco.jpg",
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+  "creditLine": "Hieronymus Bosch (Public Domain)",
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+}
\ No newline at end of file
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new file mode 100644
index 0000000..d19faf1
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+  "artist": "Vincent van Gogh",
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+  "description": "The Starry Night is a masterpiece created by Vincent van Gogh in 1889. This artwork is now in the public domain and represents a significant contribution to art history.",
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diff --git a/package.json b/package.json
new file mode 100644
index 0000000..2a53098
--- /dev/null
+++ b/package.json
@@ -0,0 +1,28 @@
+{
+  "name": "animate-museum-posts",
+  "version": "1.0.0",
+  "description": "Automated museum art animation and posting bot",
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+  "type": "module",
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+    "fetch": "node src/fetchArtwork.js",
+    "post": "node src/postToX.js"
+  },
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+    "gif-encoder-2": "^1.0.5",
+    "helmet": "^8.1.0",
+    "node-cron": "^3.0.3",
+    "nodemailer": "^7.0.6",
+    "pg": "^8.16.3",
+    "replicate": "^1.2.0",
+    "sharp": "^0.33.0",
+    "twitter-api-v2": "^1.15.2"
+  }
+}
diff --git a/public/callback.html b/public/callback.html
new file mode 100644
index 0000000..d1d3e6e
--- /dev/null
+++ b/public/callback.html
@@ -0,0 +1,54 @@
+<!DOCTYPE html>
+<html lang="en">
+<head>
+    <meta charset="UTF-8">
+    <meta name="viewport" content="width=device-width, initial-scale=1.0">
+    <title>Museum Art Bot - Authentication Callback</title>
+    <style>
+        body {
+            font-family: -apple-system, BlinkMacSystemFont, "Segoe UI", Roboto, sans-serif;
+            background: linear-gradient(135deg, #667eea 0%, #764ba2 100%);
+            color: white;
+            display: flex;
+            justify-content: center;
+            align-items: center;
+            min-height: 100vh;
+            margin: 0;
+        }
+        .container {
+            text-align: center;
+            padding: 2rem;
+            background: rgba(255,255,255,0.1);
+            border-radius: 10px;
+            backdrop-filter: blur(10px);
+        }
+        h1 { margin-bottom: 1rem; }
+        .success { color: #4ade80; }
+        .error { color: #f87171; }
+    </style>
+</head>
+<body>
+    <div class="container">
+        <h1>🎨 Museum Art Bot</h1>
+        <div id="status">
+            <h2 class="success">✓ Authentication Successful!</h2>
+            <p>You have successfully authorized the Museum Art Bot.</p>
+            <p>You can close this window and return to your application.</p>
+        </div>
+        <script>
+            // Handle OAuth callback
+            const params = new URLSearchParams(window.location.search);
+            if (params.get('error')) {
+                document.getElementById('status').innerHTML = `
+                    <h2 class="error">✗ Authentication Failed</h2>
+                    <p>Error: ${params.get('error_description') || params.get('error')}</p>
+                `;
+            }
+            // Log tokens for manual configuration if needed
+            if (params.get('oauth_token')) {
+                console.log('OAuth Token received:', params.get('oauth_token'));
+            }
+        </script>
+    </div>
+</body>
+</html>
\ No newline at end of file
diff --git a/public/favicon.svg b/public/favicon.svg
new file mode 100644
index 0000000..0bf53be
--- /dev/null
+++ b/public/favicon.svg
@@ -0,0 +1,4 @@
+<svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 32 32">
+<rect width="32" height="32" rx="6" fill="#10b981"/>
+<text x="50%" y="55%" text-anchor="middle" dominant-baseline="middle" font-size="20" font-family="Apple Color Emoji, Segoe UI Emoji, sans-serif" fill="white">A</text>
+</svg>
\ No newline at end of file
diff --git a/public/index.html b/public/index.html
new file mode 100644
index 0000000..f6fdb22
--- /dev/null
+++ b/public/index.html
@@ -0,0 +1,144 @@
+<!DOCTYPE html>
+<html lang="en">
+<head>
+    <meta charset="UTF-8">
+    <meta name="viewport" content="width=device-width, initial-scale=1.0">
+    <title>Museum Art Bot - Bringing Classical Art to X</title>
+    <style>
+        body {
+            font-family: -apple-system, BlinkMacSystemFont, "Segoe UI", Roboto, sans-serif;
+            background: linear-gradient(135deg, #667eea 0%, #764ba2 100%);
+            color: #333;
+            margin: 0;
+            padding: 0;
+        }
+        header {
+            background: rgba(255,255,255,0.95);
+            padding: 2rem;
+            text-align: center;
+            box-shadow: 0 2px 20px rgba(0,0,0,0.1);
+        }
+        h1 {
+            margin: 0;
+            color: #667eea;
+            font-size: 2.5rem;
+        }
+        .tagline {
+            color: #666;
+            margin-top: 0.5rem;
+        }
+        .container {
+            max-width: 800px;
+            margin: 2rem auto;
+            padding: 2rem;
+            background: white;
+            border-radius: 10px;
+            box-shadow: 0 10px 40px rgba(0,0,0,0.1);
+        }
+        .features {
+            display: grid;
+            grid-template-columns: repeat(auto-fit, minmax(200px, 1fr));
+            gap: 2rem;
+            margin: 2rem 0;
+        }
+        .feature {
+            text-align: center;
+        }
+        .feature-icon {
+            font-size: 3rem;
+            margin-bottom: 1rem;
+        }
+        .cta {
+            background: #667eea;
+            color: white;
+            padding: 1rem 2rem;
+            border-radius: 50px;
+            text-decoration: none;
+            display: inline-block;
+            margin: 1rem;
+            transition: transform 0.2s;
+        }
+        .cta:hover {
+            transform: translateY(-2px);
+            box-shadow: 0 5px 20px rgba(102,126,234,0.4);
+        }
+        .gallery {
+            display: grid;
+            grid-template-columns: repeat(auto-fit, minmax(150px, 1fr));
+            gap: 1rem;
+            margin: 2rem 0;
+        }
+        .artwork {
+            aspect-ratio: 1;
+            background: #f3f4f6;
+            border-radius: 8px;
+            display: flex;
+            align-items: center;
+            justify-content: center;
+            font-size: 2rem;
+        }
+        footer {
+            text-align: center;
+            padding: 2rem;
+            color: white;
+        }
+        a { color: #667eea; }
+        footer a { color: white; }
+    </style>
+</head>
+<body>
+    <header>
+        <h1>🎨 Museum Art Bot</h1>
+        <p class="tagline">Bringing timeless masterpieces to your X timeline</p>
+    </header>
+
+    <div class="container">
+        <h2>About</h2>
+        <p>Museum Art Bot is an automated service that shares beautiful public domain artwork from world-renowned museums and artists on X (formerly Twitter). Every few hours, we post a carefully selected masterpiece with historical context and artist information.</p>
+
+        <div class="features">
+            <div class="feature">
+                <div class="feature-icon">🖼️</div>
+                <h3>Classic Art</h3>
+                <p>Masterpieces from Rembrandt, Van Gogh, Vermeer, and more</p>
+            </div>
+            <div class="feature">
+                <div class="feature-icon">🏛️</div>
+                <h3>Public Domain</h3>
+                <p>All artwork is in the public domain and free to share</p>
+            </div>
+            <div class="feature">
+                <div class="feature-icon">🤖</div>
+                <h3>Automated</h3>
+                <p>Posts every 6 hours with artwork details and context</p>
+            </div>
+        </div>
+
+        <h2>Featured Artists</h2>
+        <div class="gallery">
+            <div class="artwork">🌌</div>
+            <div class="artwork">👤</div>
+            <div class="artwork">🌻</div>
+            <div class="artwork">🌊</div>
+            <div class="artwork">🎭</div>
+            <div class="artwork">🏛️</div>
+        </div>
+
+        <h2>Follow Us</h2>
+        <p>Follow <strong>@goodquestionai</strong> on X to get daily doses of classical art in your timeline!</p>
+
+        <div style="text-align: center;">
+            <a href="https://x.com/goodquestionai" class="cta">Follow on X</a>
+        </div>
+
+        <h2>Open Source</h2>
+        <p>This bot is open source! Check out the code, contribute, or create your own art bot.</p>
+        <p><a href="https://github.com/yourusername/museum-art-bot">View on GitHub</a></p>
+    </div>
+
+    <footer>
+        <p>© 2025 Museum Art Bot | <a href="/terms.html">Terms</a> | <a href="/privacy.html">Privacy</a></p>
+        <p>Not affiliated with any museum. All artwork is public domain.</p>
+    </footer>
+</body>
+</html>
\ No newline at end of file
diff --git a/public/privacy.html b/public/privacy.html
new file mode 100644
index 0000000..53944a5
--- /dev/null
+++ b/public/privacy.html
@@ -0,0 +1,113 @@
+<!DOCTYPE html>
+<html lang="en">
+<head>
+    <meta charset="UTF-8">
+    <meta name="viewport" content="width=device-width, initial-scale=1.0">
+    <title>Privacy Policy - Museum Art Bot</title>
+    <style>
+        body {
+            font-family: -apple-system, BlinkMacSystemFont, "Segoe UI", Roboto, sans-serif;
+            line-height: 1.6;
+            color: #333;
+            max-width: 800px;
+            margin: 0 auto;
+            padding: 2rem;
+            background: #f9fafb;
+        }
+        h1 { color: #667eea; }
+        h2 { color: #764ba2; margin-top: 2rem; }
+        .date { color: #666; font-style: italic; }
+        .highlight {
+            background: #fef3c7;
+            padding: 1rem;
+            border-radius: 8px;
+            margin: 1rem 0;
+        }
+        a { color: #667eea; }
+    </style>
+</head>
+<body>
+    <h1>Privacy Policy</h1>
+    <p class="date">Last updated: September 2025</p>
+
+    <div class="highlight">
+        <strong>TL;DR:</strong> Museum Art Bot doesn't collect, store, or process any personal data. We only post public domain artwork to X.
+    </div>
+
+    <h2>1. Information We Don't Collect</h2>
+    <p>Museum Art Bot is designed with privacy in mind. We do NOT collect:</p>
+    <ul>
+        <li>Personal information (names, emails, addresses)</li>
+        <li>Browsing data or cookies</li>
+        <li>Location information</li>
+        <li>Device information</li>
+        <li>User interactions or analytics</li>
+    </ul>
+
+    <h2>2. OAuth and X Authentication</h2>
+    <p>When you authorize Museum Art Bot:</p>
+    <ul>
+        <li>Authentication is handled entirely by X (Twitter)</li>
+        <li>We receive only the permissions needed to post content</li>
+        <li>Your credentials are never stored by our service</li>
+        <li>You can revoke access anytime via your X account settings</li>
+    </ul>
+
+    <h2>3. What the Bot Does</h2>
+    <p>Museum Art Bot only:</p>
+    <ul>
+        <li>Posts public domain artwork to the @goodquestionai account</li>
+        <li>Includes educational information about the artwork</li>
+        <li>Operates on a scheduled basis (every 6 hours)</li>
+    </ul>
+
+    <h2>4. Data Storage</h2>
+    <p>The only data we store:</p>
+    <ul>
+        <li>Temporary image files of public domain artwork (deleted after 7 days)</li>
+        <li>Basic logs of posted content for debugging (no personal data)</li>
+        <li>Configuration files for bot operation</li>
+    </ul>
+
+    <h2>5. Third-Party Services</h2>
+    <p>Museum Art Bot interacts with:</p>
+    <ul>
+        <li><strong>X (Twitter):</strong> For posting content (see X's privacy policy)</li>
+        <li><strong>Wikimedia Commons:</strong> For sourcing public domain images</li>
+        <li><strong>Public museum APIs:</strong> For artwork information (when available)</li>
+    </ul>
+
+    <h2>6. Children's Privacy</h2>
+    <p>Museum Art Bot does not knowingly collect information from children under 13. The service is intended for general audiences interested in art.</p>
+
+    <h2>7. Data Security</h2>
+    <p>Since we don't collect personal data, there's no personal information to secure. The bot operates with minimal permissions and only posts public content.</p>
+
+    <h2>8. Your Rights</h2>
+    <p>You have the right to:</p>
+    <ul>
+        <li>Revoke bot access via X account settings</li>
+        <li>Request information about our practices</li>
+        <li>Report concerns about the service</li>
+    </ul>
+
+    <h2>9. International Users</h2>
+    <p>Museum Art Bot is accessible globally. We don't collect data that would be subject to GDPR, CCPA, or other privacy regulations.</p>
+
+    <h2>10. Changes to Privacy Policy</h2>
+    <p>If we update this policy, we'll post changes here with a new "Last updated" date.</p>
+
+    <h2>11. Open Source</h2>
+    <p>Museum Art Bot is open source. You can review our code to verify our privacy practices.</p>
+
+    <h2>12. Contact</h2>
+    <p>For privacy questions or concerns:</p>
+    <ul>
+        <li>X: @goodquestionai</li>
+        <li>GitHub: Issues section of our repository</li>
+    </ul>
+
+    <hr>
+    <p><a href="/index.html">← Back to Home</a> | <a href="/terms.html">Terms of Service</a></p>
+</body>
+</html>
\ No newline at end of file
diff --git a/public/terms.html b/public/terms.html
new file mode 100644
index 0000000..7029633
--- /dev/null
+++ b/public/terms.html
@@ -0,0 +1,81 @@
+<!DOCTYPE html>
+<html lang="en">
+<head>
+    <meta charset="UTF-8">
+    <meta name="viewport" content="width=device-width, initial-scale=1.0">
+    <title>Terms of Service - Museum Art Bot</title>
+    <style>
+        body {
+            font-family: -apple-system, BlinkMacSystemFont, "Segoe UI", Roboto, sans-serif;
+            line-height: 1.6;
+            color: #333;
+            max-width: 800px;
+            margin: 0 auto;
+            padding: 2rem;
+            background: #f9fafb;
+        }
+        h1 { color: #667eea; }
+        h2 { color: #764ba2; margin-top: 2rem; }
+        .date { color: #666; font-style: italic; }
+        a { color: #667eea; }
+    </style>
+</head>
+<body>
+    <h1>Terms of Service</h1>
+    <p class="date">Last updated: September 2025</p>
+
+    <h2>1. Acceptance of Terms</h2>
+    <p>By using Museum Art Bot ("the Service"), you agree to these Terms of Service. If you do not agree, please do not use the Service.</p>
+
+    <h2>2. Description of Service</h2>
+    <p>Museum Art Bot is an automated service that posts public domain artwork to X (formerly Twitter). The Service:</p>
+    <ul>
+        <li>Shares artwork that is in the public domain</li>
+        <li>Provides educational content about art history</li>
+        <li>Posts on a regular schedule to @goodquestionai</li>
+    </ul>
+
+    <h2>3. Use of Content</h2>
+    <p>All artwork shared by the Service is in the public domain and free to use. The Service adds no additional copyright restrictions. Attribution information is provided for educational purposes.</p>
+
+    <h2>4. No Warranties</h2>
+    <p>The Service is provided "as is" without warranties of any kind. We do not guarantee:</p>
+    <ul>
+        <li>Continuous, uninterrupted operation</li>
+        <li>Accuracy of artwork attribution or historical information</li>
+        <li>Availability of specific artworks</li>
+    </ul>
+
+    <h2>5. User Conduct</h2>
+    <p>When interacting with the Service, you agree not to:</p>
+    <ul>
+        <li>Use the Service for any illegal purpose</li>
+        <li>Attempt to disrupt or overload the Service</li>
+        <li>Impersonate the Service or create unauthorized derivative accounts</li>
+    </ul>
+
+    <h2>6. Privacy</h2>
+    <p>The Service does not collect personal information. When you authorize the app, X handles authentication according to their privacy policy.</p>
+
+    <h2>7. Intellectual Property</h2>
+    <p>The Service respects intellectual property rights. All artwork shared is verified to be in the public domain. The bot software itself is open source.</p>
+
+    <h2>8. Limitation of Liability</h2>
+    <p>The Service and its operators shall not be liable for any damages arising from use or inability to use the Service.</p>
+
+    <h2>9. Changes to Terms</h2>
+    <p>We may update these terms at any time. Continued use of the Service constitutes acceptance of updated terms.</p>
+
+    <h2>10. Termination</h2>
+    <p>We reserve the right to terminate or suspend the Service at any time without notice.</p>
+
+    <h2>11. Contact</h2>
+    <p>For questions about these Terms, contact us via X at @goodquestionai</p>
+
+    <h2>12. Disclaimer</h2>
+    <p>Museum Art Bot is not affiliated with any museum, gallery, or artistic institution. All opinions and descriptions are for educational purposes only.</p>
+
+    <hr>
+    <p><a href="/index.html">← Back to Home</a> | <a href="/privacy.html">Privacy Policy</a></p>
+</body>
+</html>
\ No newline at end of file
diff --git a/ralphy.js b/ralphy.js
new file mode 100755
index 0000000..4490e83
--- /dev/null
+++ b/ralphy.js
@@ -0,0 +1,353 @@
+#!/usr/bin/env node
+/**
+ * Ralphy Boy - Free Local Task Runner
+ * A simple task management system for autonomous development
+ * No paid services, no amp CLI - just pure local goodness!
+ *
+ * Usage:
+ *   node ralph.js next          - Show next available task
+ *   node ralph.js start T001    - Mark task as in_progress
+ *   node ralph.js done T001     - Mark task as completed
+ *   node ralph.js status        - Show overall progress
+ *   node ralph.js list          - List all tasks
+ *   node ralph.js phase 1       - Show tasks for phase 1
+ *   node ralph.js reset         - Reset all tasks to pending
+ */
+
+import fs from 'fs';
+import path from 'path';
+import { fileURLToPath } from 'url';
+
+const __filename = fileURLToPath(import.meta.url);
+const __dirname = path.dirname(__filename);
+
+const TASKS_FILE = path.join(__dirname, 'scripts/ralph/tasks.json');
+const PROGRESS_FILE = path.join(__dirname, 'scripts/ralph/progress.txt');
+
+// ANSI colors
+const colors = {
+  reset: '\x1b[0m',
+  bright: '\x1b[1m',
+  red: '\x1b[31m',
+  green: '\x1b[32m',
+  yellow: '\x1b[33m',
+  blue: '\x1b[34m',
+  magenta: '\x1b[35m',
+  cyan: '\x1b[36m',
+  gray: '\x1b[90m'
+};
+
+function loadTasks() {
+  const data = fs.readFileSync(TASKS_FILE, 'utf-8');
+  return JSON.parse(data);
+}
+
+function saveTasks(data) {
+  fs.writeFileSync(TASKS_FILE, JSON.stringify(data, null, 2));
+}
+
+function logProgress(message) {
+  const timestamp = new Date().toISOString();
+  const entry = `[${timestamp}] ${message}\n`;
+  fs.appendFileSync(PROGRESS_FILE, entry);
+}
+
+function getTaskById(tasks, id) {
+  return tasks.find(t => t.id === id);
+}
+
+function isTaskReady(task, tasks) {
+  if (task.status !== 'pending') return false;
+
+  for (const depId of task.dependsOn) {
+    const dep = getTaskById(tasks, depId);
+    if (!dep || dep.status !== 'completed') {
+      return false;
+    }
+  }
+  return true;
+}
+
+function getNextTask(tasks) {
+  // Find first ready task (pending with all deps completed)
+  return tasks.find(t => isTaskReady(t, tasks));
+}
+
+function getReadyTasks(tasks) {
+  return tasks.filter(t => isTaskReady(t, tasks));
+}
+
+function printTask(task, verbose = true) {
+  const statusColors = {
+    pending: colors.gray,
+    in_progress: colors.yellow,
+    completed: colors.green
+  };
+
+  const statusIcon = {
+    pending: '○',
+    in_progress: '◐',
+    completed: '●'
+  };
+
+  console.log(`\n${colors.bright}${colors.cyan}═══════════════════════════════════════════════════════════${colors.reset}`);
+  console.log(`${colors.bright}Task: ${task.id}${colors.reset} - Phase ${task.phase}`);
+  console.log(`${colors.cyan}═══════════════════════════════════════════════════════════${colors.reset}`);
+  console.log(`${colors.bright}Title:${colors.reset} ${task.title}`);
+  console.log(`${colors.bright}Status:${colors.reset} ${statusColors[task.status]}${statusIcon[task.status]} ${task.status}${colors.reset}`);
+
+  if (task.dependsOn.length > 0) {
+    console.log(`${colors.bright}Depends on:${colors.reset} ${task.dependsOn.join(', ')}`);
+  }
+
+  if (verbose) {
+    console.log(`\n${colors.bright}Description:${colors.reset}`);
+    console.log(`  ${task.description}`);
+
+    console.log(`\n${colors.bright}Files to modify:${colors.reset}`);
+    task.files.forEach(f => console.log(`  - ${f}`));
+
+    console.log(`\n${colors.bright}Acceptance Criteria:${colors.reset}`);
+    task.acceptance.forEach(a => console.log(`  [ ] ${a}`));
+
+    if (task.commands) {
+      console.log(`\n${colors.bright}Commands:${colors.reset}`);
+      if (task.commands.run) console.log(`  ${colors.green}Run:${colors.reset} ${task.commands.run}`);
+      if (task.commands.verify) console.log(`  ${colors.blue}Verify:${colors.reset} ${task.commands.verify}`);
+    }
+  }
+
+  console.log(`${colors.cyan}═══════════════════════════════════════════════════════════${colors.reset}\n`);
+}
+
+function printStatus(data) {
+  const tasks = data.tasks;
+  const completed = tasks.filter(t => t.status === 'completed').length;
+  const inProgress = tasks.filter(t => t.status === 'in_progress').length;
+  const pending = tasks.filter(t => t.status === 'pending').length;
+  const ready = getReadyTasks(tasks).length;
+
+  const pct = Math.round((completed / tasks.length) * 100);
+  const bar = '█'.repeat(Math.floor(pct / 5)) + '░'.repeat(20 - Math.floor(pct / 5));
+
+  console.log(`\n${colors.bright}${colors.cyan}╔═══════════════════════════════════════════════════════════╗${colors.reset}`);
+  console.log(`${colors.cyan}║${colors.reset}  ${colors.bright}RALPHY BOY - Museum Art Bot Tasks${colors.reset}                       ${colors.cyan}║${colors.reset}`);
+  console.log(`${colors.cyan}╠═══════════════════════════════════════════════════════════╣${colors.reset}`);
+  console.log(`${colors.cyan}║${colors.reset}  Progress: [${colors.green}${bar}${colors.reset}] ${pct}%                    ${colors.cyan}║${colors.reset}`);
+  console.log(`${colors.cyan}╠═══════════════════════════════════════════════════════════╣${colors.reset}`);
+  console.log(`${colors.cyan}║${colors.reset}  ${colors.green}● Completed:${colors.reset}    ${String(completed).padStart(2)} / ${tasks.length}                                  ${colors.cyan}║${colors.reset}`);
+  console.log(`${colors.cyan}║${colors.reset}  ${colors.yellow}◐ In Progress:${colors.reset}  ${String(inProgress).padStart(2)}                                       ${colors.cyan}║${colors.reset}`);
+  console.log(`${colors.cyan}║${colors.reset}  ${colors.blue}○ Ready:${colors.reset}        ${String(ready).padStart(2)}  (dependencies met)                  ${colors.cyan}║${colors.reset}`);
+  console.log(`${colors.cyan}║${colors.reset}  ${colors.gray}○ Blocked:${colors.reset}      ${String(pending - ready).padStart(2)}  (waiting on dependencies)          ${colors.cyan}║${colors.reset}`);
+  console.log(`${colors.cyan}╚═══════════════════════════════════════════════════════════╝${colors.reset}`);
+
+  // Show by phase
+  console.log(`\n${colors.bright}By Phase:${colors.reset}`);
+  for (let phase = 1; phase <= 5; phase++) {
+    const phaseTasks = tasks.filter(t => t.phase === phase);
+    const phaseCompleted = phaseTasks.filter(t => t.status === 'completed').length;
+    const phaseNames = ['', 'Stability', 'Museums', 'Animation', 'Content', 'Monitoring'];
+    console.log(`  Phase ${phase} (${phaseNames[phase]}): ${phaseCompleted}/${phaseTasks.length}`);
+  }
+
+  // Show next task
+  const next = getNextTask(tasks);
+  if (next) {
+    console.log(`\n${colors.bright}Next task:${colors.reset} ${next.id} - ${next.title}`);
+    console.log(`${colors.gray}Run: node ralph.js next${colors.reset}`);
+  } else if (completed === tasks.length) {
+    console.log(`\n${colors.green}${colors.bright}All tasks completed!${colors.reset}`);
+  } else {
+    console.log(`\n${colors.yellow}No tasks ready - complete in-progress tasks first${colors.reset}`);
+  }
+
+  console.log('');
+}
+
+function printList(data, phaseFilter = null) {
+  const tasks = phaseFilter
+    ? data.tasks.filter(t => t.phase === phaseFilter)
+    : data.tasks;
+
+  const statusIcon = {
+    pending: `${colors.gray}○${colors.reset}`,
+    in_progress: `${colors.yellow}◐${colors.reset}`,
+    completed: `${colors.green}●${colors.reset}`
+  };
+
+  console.log(`\n${colors.bright}Task List${phaseFilter ? ` (Phase ${phaseFilter})` : ''}:${colors.reset}\n`);
+
+  let currentPhase = 0;
+  for (const task of tasks) {
+    if (task.phase !== currentPhase) {
+      currentPhase = task.phase;
+      const phaseNames = ['', 'Stability', 'Museums', 'Animation', 'Content', 'Monitoring'];
+      console.log(`\n${colors.bright}Phase ${currentPhase}: ${phaseNames[currentPhase]}${colors.reset}`);
+    }
+
+    const ready = isTaskReady(task, data.tasks);
+    const readyMarker = ready && task.status === 'pending' ? `${colors.blue}[READY]${colors.reset} ` : '';
+
+    console.log(`  ${statusIcon[task.status]} ${task.id}: ${readyMarker}${task.title}`);
+  }
+  console.log('');
+}
+
+// Main CLI
+const args = process.argv.slice(2);
+const command = args[0] || 'status';
+
+try {
+  const data = loadTasks();
+
+  switch (command) {
+    case 'next': {
+      const next = getNextTask(data.tasks);
+      if (next) {
+        printTask(next);
+        console.log(`${colors.bright}To start this task:${colors.reset} node ralph.js start ${next.id}`);
+      } else {
+        const inProgress = data.tasks.filter(t => t.status === 'in_progress');
+        if (inProgress.length > 0) {
+          console.log(`\n${colors.yellow}Tasks in progress:${colors.reset}`);
+          inProgress.forEach(t => console.log(`  ${t.id}: ${t.title}`));
+          console.log(`\n${colors.gray}Complete these first: node ralph.js done <ID>${colors.reset}`);
+        } else {
+          console.log(`\n${colors.green}All tasks completed!${colors.reset}`);
+        }
+      }
+      break;
+    }
+
+    case 'start': {
+      const taskId = args[1];
+      if (!taskId) {
+        console.log(`${colors.red}Error: Specify task ID${colors.reset}`);
+        console.log('Usage: node ralph.js start T001');
+        process.exit(1);
+      }
+
+      const task = getTaskById(data.tasks, taskId);
+      if (!task) {
+        console.log(`${colors.red}Error: Task ${taskId} not found${colors.reset}`);
+        process.exit(1);
+      }
+
+      if (!isTaskReady(task, data.tasks) && task.status === 'pending') {
+        console.log(`${colors.red}Error: Task ${taskId} has unmet dependencies${colors.reset}`);
+        console.log(`Depends on: ${task.dependsOn.join(', ')}`);
+        process.exit(1);
+      }
+
+      task.status = 'in_progress';
+      task.startedAt = new Date().toISOString();
+      saveTasks(data);
+      logProgress(`STARTED: ${taskId} - ${task.title}`);
+
+      console.log(`${colors.green}Started task ${taskId}${colors.reset}`);
+      printTask(task);
+      break;
+    }
+
+    case 'done': {
+      const taskId = args[1];
+      if (!taskId) {
+        console.log(`${colors.red}Error: Specify task ID${colors.reset}`);
+        console.log('Usage: node ralph.js done T001');
+        process.exit(1);
+      }
+
+      const task = getTaskById(data.tasks, taskId);
+      if (!task) {
+        console.log(`${colors.red}Error: Task ${taskId} not found${colors.reset}`);
+        process.exit(1);
+      }
+
+      task.status = 'completed';
+      task.completedAt = new Date().toISOString();
+      saveTasks(data);
+      logProgress(`COMPLETED: ${taskId} - ${task.title}`);
+
+      console.log(`${colors.green}Completed task ${taskId}!${colors.reset}`);
+
+      // Show next task
+      const next = getNextTask(data.tasks);
+      if (next) {
+        console.log(`\n${colors.bright}Next available task:${colors.reset} ${next.id} - ${next.title}`);
+      }
+      break;
+    }
+
+    case 'status':
+      printStatus(data);
+      break;
+
+    case 'list':
+      printList(data);
+      break;
+
+    case 'phase': {
+      const phase = parseInt(args[1]);
+      if (isNaN(phase) || phase < 1 || phase > 5) {
+        console.log(`${colors.red}Error: Specify phase 1-5${colors.reset}`);
+        process.exit(1);
+      }
+      printList(data, phase);
+      break;
+    }
+
+    case 'show': {
+      const taskId = args[1];
+      if (!taskId) {
+        console.log(`${colors.red}Error: Specify task ID${colors.reset}`);
+        process.exit(1);
+      }
+      const task = getTaskById(data.tasks, taskId);
+      if (!task) {
+        console.log(`${colors.red}Error: Task ${taskId} not found${colors.reset}`);
+        process.exit(1);
+      }
+      printTask(task);
+      break;
+    }
+
+    case 'reset': {
+      data.tasks.forEach(t => {
+        t.status = 'pending';
+        delete t.startedAt;
+        delete t.completedAt;
+      });
+      saveTasks(data);
+      logProgress('RESET: All tasks reset to pending');
+      console.log(`${colors.yellow}All tasks reset to pending${colors.reset}`);
+      break;
+    }
+
+    case 'help':
+    default:
+      console.log(`
+${colors.bright}Ralphy Boy - Free Local Task Runner${colors.reset}
+
+${colors.cyan}Commands:${colors.reset}
+  node ralph.js next          Show next available task
+  node ralph.js start T001    Mark task as in_progress
+  node ralph.js done T001     Mark task as completed
+  node ralph.js show T001     Show task details
+  node ralph.js status        Show overall progress
+  node ralph.js list          List all tasks
+  node ralph.js phase 1       Show tasks for phase 1-5
+  node ralph.js reset         Reset all tasks to pending
+  node ralph.js help          Show this help
+
+${colors.cyan}Workflow:${colors.reset}
+  1. Run 'node ralph.js next' to see next task
+  2. Run 'node ralph.js start T001' to begin
+  3. Implement the task
+  4. Run 'node ralph.js done T001' when complete
+  5. Repeat!
+`);
+  }
+} catch (error) {
+  console.error(`${colors.red}Error: ${error.message}${colors.reset}`);
+  process.exit(1);
+}
diff --git a/scripts/post-3-wave-branded.js b/scripts/post-3-wave-branded.js
new file mode 100644
index 0000000..5c051c6
--- /dev/null
+++ b/scripts/post-3-wave-branded.js
@@ -0,0 +1,138 @@
+#!/usr/bin/env node
+/**
+ * Post 3 Great Wave videos with:
+ * - Moderate motion (127)
+ * - 2s intro + 2s outro branding
+ */
+
+import Replicate from 'replicate';
+import axios from 'axios';
+import fs from 'fs';
+import path from 'path';
+import { fileURLToPath } from 'url';
+import sharp from 'sharp';
+import dotenv from 'dotenv';
+import { execSync } from 'child_process';
+import { postToX } from '../src/postToX.js';
+import { addBrandingToVideo } from '../src/addBranding.js';
+
+dotenv.config();
+
+const __filename = fileURLToPath(import.meta.url);
+const __dirname = path.dirname(__filename);
+const projectRoot = path.join(__dirname, '..');
+const OUTPUT_DIR = path.join(projectRoot, 'output');
+
+async function createAndPost(num) {
+  console.log(`\n${'='.repeat(50)}`);
+  console.log(`POST ${num}/3 - ${new Date().toISOString()}`);
+  console.log(`${'='.repeat(50)}`);
+
+  const replicate = new Replicate({ auth: process.env.REPLICATE_API_TOKEN });
+
+  // Get source image
+  let imagePath = path.join(OUTPUT_DIR, 'great_wave_source.jpg');
+  if (!fs.existsSync(imagePath)) {
+    console.log('Downloading The Great Wave...');
+    const response = await axios.get('https://images.metmuseum.org/CRDImages/as/original/DP141063.jpg', {
+      responseType: 'arraybuffer',
+      headers: { 'User-Agent': 'Mozilla/5.0 (compatible; ArtBot/1.0)' }
+    });
+    fs.writeFileSync(imagePath, response.data);
+  }
+
+  // Prepare image
+  const optimizedPath = path.join(OUTPUT_DIR, `wave_opt_${num}.jpg`);
+  await sharp(imagePath)
+    .resize(1024, 576, { fit: 'cover', position: 'center' })
+    .jpeg({ quality: 95 })
+    .toFile(optimizedPath);
+
+  const imageBuffer = fs.readFileSync(optimizedPath);
+  const dataUri = `data:image/jpeg;base64,${imageBuffer.toString('base64')}`;
+
+  // Moderate motion settings
+  const seed = Math.floor(Math.random() * 1000000);
+  console.log(`Generating with moderate motion (127), seed: ${seed}...`);
+
+  const startTime = Date.now();
+  const output = await replicate.run(
+    "stability-ai/stable-video-diffusion:3f0457e4619daac51203dedb472816fd4af51f3149fa7a9e0b5ffcf1b8172438",
+    {
+      input: {
+        input_image: dataUri,
+        video_length: "25_frames_with_svd_xt",
+        sizing_strategy: "maintain_aspect_ratio",
+        frames_per_second: 8,
+        motion_bucket_id: 127,  // MODERATE motion
+        cond_aug: 0.02,
+        decoding_t: 14,
+        seed: seed
+      }
+    }
+  );
+  console.log(`Generated in ${((Date.now() - startTime) / 1000).toFixed(1)}s`);
+
+  // Download video
+  const videoResponse = await axios.get(output, { responseType: 'arraybuffer' });
+  const timestamp = Date.now();
+  const videoPath = path.join(OUTPUT_DIR, `wave_branded_${num}_${timestamp}.mp4`);
+  fs.writeFileSync(videoPath, videoResponse.data);
+
+  // Convert to H.264
+  const h264Path = videoPath.replace('.mp4', '_h264.mp4');
+  execSync(`ffmpeg -y -i "${videoPath}" -c:v libx264 -preset fast -crf 23 -pix_fmt yuv420p -movflags +faststart -an "${h264Path}"`, { stdio: 'pipe' });
+  fs.unlinkSync(videoPath);
+  fs.renameSync(h264Path, videoPath);
+
+  // Add 2s intro + 2s outro branding
+  console.log('Adding GoodQuestion.AI branding (2s intro + 2s outro)...');
+  const metadata = { title: "The Great Wave off Kanagawa", artist: "Katsushika Hokusai" };
+  await addBrandingToVideo(videoPath, metadata);
+
+  // Cleanup
+  fs.unlinkSync(optimizedPath);
+
+  // Post to Twitter
+  console.log('Posting to Twitter...');
+  const animationResult = {
+    animatedVideo: videoPath,
+    artworkMetadata: {
+      title: "The Great Wave off Kanagawa",
+      artist: "Katsushika Hokusai",
+      year: "1831",
+      museum: "Public Domain Collection"
+    },
+    isAnimated: true
+  };
+
+  const result = await postToX(animationResult);
+  console.log(`Posted! https://twitter.com/goodquestionai/status/${result.data.id}`);
+  return result;
+}
+
+async function main() {
+  console.log(`
+╔═══════════════════════════════════════════════════════════╗
+║     POSTING 3 GREAT WAVE VIDEOS WITH BRANDING             ║
+║     - Moderate motion (127)                               ║
+║     - 2s intro + 2s outro                                 ║
+╚═══════════════════════════════════════════════════════════╝
+`);
+
+  for (let i = 1; i <= 3; i++) {
+    try {
+      await createAndPost(i);
+      if (i < 3) {
+        console.log('\nWaiting 15s before next post...');
+        await new Promise(r => setTimeout(r, 15000));
+      }
+    } catch (err) {
+      console.error(`Post ${i} failed:`, err.message);
+    }
+  }
+
+  console.log('\n=== ALL 3 POSTS COMPLETE ===\n');
+}
+
+main().catch(console.error);
diff --git a/scripts/test-wave-metamorphosis.js b/scripts/test-wave-metamorphosis.js
new file mode 100644
index 0000000..ee88b3b
--- /dev/null
+++ b/scripts/test-wave-metamorphosis.js
@@ -0,0 +1,176 @@
+#!/usr/bin/env node
+/**
+ * Test metamorphosis animation with The Great Wave off Kanagawa
+ * This should create DRAMATIC wave motion, not just panning
+ */
+
+import Replicate from 'replicate';
+import axios from 'axios';
+import fs from 'fs';
+import path from 'path';
+import { fileURLToPath } from 'url';
+import sharp from 'sharp';
+import dotenv from 'dotenv';
+import { execSync } from 'child_process';
+
+dotenv.config();
+
+const __filename = fileURLToPath(import.meta.url);
+const __dirname = path.dirname(__filename);
+const projectRoot = path.join(__dirname, '..');
+
+const OUTPUT_DIR = path.join(projectRoot, 'output');
+if (!fs.existsSync(OUTPUT_DIR)) {
+  fs.mkdirSync(OUTPUT_DIR, { recursive: true });
+}
+
+async function downloadGreatWave() {
+  console.log('Downloading The Great Wave off Kanagawa...');
+
+  // Met Museum version (public domain, no restrictions)
+  const imageUrl = 'https://images.metmuseum.org/CRDImages/as/original/DP141063.jpg';
+
+  const response = await axios.get(imageUrl, {
+    responseType: 'arraybuffer',
+    headers: {
+      'User-Agent': 'Mozilla/5.0 (compatible; ArtBot/1.0)'
+    }
+  });
+  const imagePath = path.join(OUTPUT_DIR, 'great_wave_original.jpg');
+  fs.writeFileSync(imagePath, response.data);
+
+  console.log('Downloaded Great Wave image from Met Museum');
+  return imagePath;
+}
+
+async function createMetamorphosisVideo(imagePath) {
+  console.log('\n=== CREATING METAMORPHOSIS VIDEO ===');
+  console.log('Goal: Waves should CRASH, MOVE, TRANSFORM - not just pan!');
+
+  const replicate = new Replicate({
+    auth: process.env.REPLICATE_API_TOKEN,
+  });
+
+  // Prepare image for SVD (1024x576)
+  const optimizedPath = path.join(OUTPUT_DIR, 'wave_optimized.jpg');
+  await sharp(imagePath)
+    .resize(1024, 576, { fit: 'cover', position: 'center' })
+    .jpeg({ quality: 95 })
+    .toFile(optimizedPath);
+
+  const imageBuffer = fs.readFileSync(optimizedPath);
+  const base64Image = imageBuffer.toString('base64');
+  const dataUri = `data:image/jpeg;base64,${base64Image}`;
+
+  console.log('\nSending to Stable Video Diffusion with MAXIMUM motion...');
+  console.log('Settings:');
+  console.log('  - motion_bucket_id: 255 (MAXIMUM)');
+  console.log('  - cond_aug: 0.1 (high variation)');
+  console.log('  - fps: 6 (slower = more dramatic)');
+  console.log('\nPlease wait 60-180 seconds...');
+
+  const startTime = Date.now();
+
+  const output = await replicate.run(
+    "stability-ai/stable-video-diffusion:3f0457e4619daac51203dedb472816fd4af51f3149fa7a9e0b5ffcf1b8172438",
+    {
+      input: {
+        input_image: dataUri,
+        video_length: "25_frames_with_svd_xt",
+        sizing_strategy: "maintain_aspect_ratio",
+        frames_per_second: 6,  // Slower for dramatic effect
+        motion_bucket_id: 255,  // MAXIMUM motion
+        cond_aug: 0.1,  // Higher variation
+        decoding_t: 14,
+        seed: Math.floor(Math.random() * 1000000)
+      }
+    }
+  );
+
+  const elapsed = ((Date.now() - startTime) / 1000).toFixed(1);
+  console.log(`\nVideo generated in ${elapsed}s`);
+
+  // Download the video
+  const videoResponse = await axios.get(output, { responseType: 'arraybuffer' });
+  const timestamp = Date.now();
+  const videoPath = path.join(OUTPUT_DIR, `wave_metamorphosis_${timestamp}.mp4`);
+  fs.writeFileSync(videoPath, videoResponse.data);
+
+  // Check video properties
+  const probeCmd = `ffprobe -v error -show_entries format=duration -of csv=p=0 "${videoPath}"`;
+  const duration = parseFloat(execSync(probeCmd, { stdio: 'pipe' }).toString().trim());
+  const stats = fs.statSync(videoPath);
+
+  console.log(`\nVideo created:`);
+  console.log(`  - Path: ${videoPath}`);
+  console.log(`  - Duration: ${duration.toFixed(2)}s`);
+  console.log(`  - Size: ${(stats.size / 1024 / 1024).toFixed(2)} MB`);
+
+  // Convert to H.264 for Twitter
+  const h264Path = videoPath.replace('.mp4', '_h264.mp4');
+  console.log('\nConverting to Twitter-compatible H.264...');
+  execSync(`ffmpeg -y -i "${videoPath}" -c:v libx264 -preset fast -crf 23 -pix_fmt yuv420p -movflags +faststart -an "${h264Path}"`, { stdio: 'pipe' });
+  fs.unlinkSync(videoPath);
+  fs.renameSync(h264Path, videoPath);
+
+  // Cleanup
+  fs.unlinkSync(optimizedPath);
+
+  return videoPath;
+}
+
+async function postToTwitter(videoPath) {
+  console.log('\n=== POSTING TO TWITTER ===');
+
+  const { postToX } = await import('../src/postToX.js');
+
+  // Create animationResult object matching postToX signature
+  const animationResult = {
+    animatedVideo: videoPath,
+    artworkMetadata: {
+      title: "The Great Wave off Kanagawa",
+      artist: "Katsushika Hokusai",
+      year: "1831",
+      museum: "Public Domain Collection"
+    },
+    isAnimated: true
+  };
+
+  const result = await postToX(animationResult);
+
+  console.log(`\nTweet posted successfully!`);
+  console.log(`Tweet ID: ${result.data.id}`);
+  console.log(`URL: https://twitter.com/goodquestionai/status/${result.data.id}`);
+
+  return result;
+}
+
+async function main() {
+  console.log(`
+╔═══════════════════════════════════════════════════════════╗
+║     THE GREAT WAVE - METAMORPHOSIS TEST                   ║
+║     Testing maximum motion SVD animation                  ║
+╚═══════════════════════════════════════════════════════════╝
+`);
+
+  try {
+    // 1. Download the Great Wave image
+    const imagePath = await downloadGreatWave();
+
+    // 2. Create metamorphosis video
+    const videoPath = await createMetamorphosisVideo(imagePath);
+
+    // 3. Post to Twitter
+    await postToTwitter(videoPath);
+
+    console.log('\n=== TEST COMPLETE ===');
+    console.log('Check the tweet to see if waves are actually moving/transforming');
+    console.log('Not just panning across the image\n');
+
+  } catch (error) {
+    console.error('Error:', error.message);
+    console.error(error.stack);
+  }
+}
+
+main();
diff --git a/scripts/test-wave-moderate.js b/scripts/test-wave-moderate.js
new file mode 100644
index 0000000..8d04d39
--- /dev/null
+++ b/scripts/test-wave-moderate.js
@@ -0,0 +1,126 @@
+#!/usr/bin/env node
+/**
+ * Test Great Wave with MODERATE motion
+ * motion_bucket_id: 127 (middle) instead of 255 (max)
+ * Waves should MOVE but not wash away the image
+ */
+
+import Replicate from 'replicate';
+import axios from 'axios';
+import fs from 'fs';
+import path from 'path';
+import { fileURLToPath } from 'url';
+import sharp from 'sharp';
+import dotenv from 'dotenv';
+import { execSync } from 'child_process';
+import { postToX } from '../src/postToX.js';
+
+dotenv.config();
+
+const __filename = fileURLToPath(import.meta.url);
+const __dirname = path.dirname(__filename);
+const projectRoot = path.join(__dirname, '..');
+const OUTPUT_DIR = path.join(projectRoot, 'output');
+
+async function main() {
+  console.log(`
+╔═══════════════════════════════════════════════════════════╗
+║     THE GREAT WAVE - MODERATE MOTION TEST                 ║
+║     motion_bucket_id: 127 (half of max)                   ║
+║     cond_aug: 0.02 (default, less variation)              ║
+╚═══════════════════════════════════════════════════════════╝
+`);
+
+  const replicate = new Replicate({
+    auth: process.env.REPLICATE_API_TOKEN,
+  });
+
+  // Use existing source image
+  let imagePath = path.join(OUTPUT_DIR, 'great_wave_source.jpg');
+  if (!fs.existsSync(imagePath)) {
+    console.log('Downloading The Great Wave...');
+    const imageUrl = 'https://images.metmuseum.org/CRDImages/as/original/DP141063.jpg';
+    const response = await axios.get(imageUrl, {
+      responseType: 'arraybuffer',
+      headers: { 'User-Agent': 'Mozilla/5.0 (compatible; ArtBot/1.0)' }
+    });
+    fs.writeFileSync(imagePath, response.data);
+  }
+
+  // Prepare image
+  const optimizedPath = path.join(OUTPUT_DIR, 'wave_moderate_opt.jpg');
+  await sharp(imagePath)
+    .resize(1024, 576, { fit: 'cover', position: 'center' })
+    .jpeg({ quality: 95 })
+    .toFile(optimizedPath);
+
+  const imageBuffer = fs.readFileSync(optimizedPath);
+  const base64Image = imageBuffer.toString('base64');
+  const dataUri = `data:image/jpeg;base64,${base64Image}`;
+
+  console.log('Settings (MODERATE):');
+  console.log('  - motion_bucket_id: 127 (half of max 255)');
+  console.log('  - cond_aug: 0.02 (low variation)');
+  console.log('  - fps: 8 (smooth playback)');
+  console.log('\nGenerating... (60-120s)\n');
+
+  const startTime = Date.now();
+
+  const output = await replicate.run(
+    "stability-ai/stable-video-diffusion:3f0457e4619daac51203dedb472816fd4af51f3149fa7a9e0b5ffcf1b8172438",
+    {
+      input: {
+        input_image: dataUri,
+        video_length: "25_frames_with_svd_xt",
+        sizing_strategy: "maintain_aspect_ratio",
+        frames_per_second: 8,
+        motion_bucket_id: 127,  // MODERATE motion (half of max)
+        cond_aug: 0.02,  // Low variation - preserve image
+        decoding_t: 14,
+        seed: Math.floor(Math.random() * 1000000)
+      }
+    }
+  );
+
+  const elapsed = ((Date.now() - startTime) / 1000).toFixed(1);
+  console.log(`Generated in ${elapsed}s`);
+
+  // Download video
+  const videoResponse = await axios.get(output, { responseType: 'arraybuffer' });
+  const timestamp = Date.now();
+  const videoPath = path.join(OUTPUT_DIR, `wave_moderate_${timestamp}.mp4`);
+  fs.writeFileSync(videoPath, videoResponse.data);
+
+  // Convert to H.264
+  const h264Path = videoPath.replace('.mp4', '_h264.mp4');
+  execSync(`ffmpeg -y -i "${videoPath}" -c:v libx264 -preset fast -crf 23 -pix_fmt yuv420p -movflags +faststart -an "${h264Path}"`, { stdio: 'pipe' });
+  fs.unlinkSync(videoPath);
+  fs.renameSync(h264Path, videoPath);
+
+  const stats = fs.statSync(videoPath);
+  console.log(`\nVideo created: ${videoPath}`);
+  console.log(`Size: ${(stats.size / 1024 / 1024).toFixed(2)} MB`);
+
+  // Cleanup
+  fs.unlinkSync(optimizedPath);
+
+  // Post to Twitter
+  console.log('\nPosting to Twitter...');
+  const animationResult = {
+    animatedVideo: videoPath,
+    artworkMetadata: {
+      title: "The Great Wave off Kanagawa",
+      artist: "Katsushika Hokusai",
+      year: "1831",
+      museum: "Moderate Motion Test - Waves should move naturally"
+    },
+    isAnimated: true
+  };
+
+  const result = await postToX(animationResult);
+  console.log(`\nPosted! Tweet ID: ${result.data.id}`);
+  console.log(`URL: https://twitter.com/goodquestionai/status/${result.data.id}`);
+  console.log('\nCheck if waves are moving naturally without distorting the image!');
+}
+
+main().catch(console.error);
diff --git a/scripts/wave-repeat-test.js b/scripts/wave-repeat-test.js
new file mode 100644
index 0000000..99282ce
--- /dev/null
+++ b/scripts/wave-repeat-test.js
@@ -0,0 +1,197 @@
+#!/usr/bin/env node
+/**
+ * Post The Great Wave with different metamorphosis variations
+ * every 5 minutes for 3 hours (36 posts)
+ */
+
+import Replicate from 'replicate';
+import axios from 'axios';
+import fs from 'fs';
+import path from 'path';
+import { fileURLToPath } from 'url';
+import sharp from 'sharp';
+import dotenv from 'dotenv';
+import { execSync } from 'child_process';
+import { postToX } from '../src/postToX.js';
+
+dotenv.config();
+
+const __filename = fileURLToPath(import.meta.url);
+const __dirname = path.dirname(__filename);
+const projectRoot = path.join(__dirname, '..');
+const OUTPUT_DIR = path.join(projectRoot, 'output');
+
+const TOTAL_POSTS = 36;  // 3 hours at 5 min intervals
+const INTERVAL_MS = 5 * 60 * 1000;  // 5 minutes
+
+let postCount = 0;
+let successCount = 0;
+
+async function downloadGreatWave() {
+  const imagePath = path.join(OUTPUT_DIR, 'great_wave_source.jpg');
+
+  if (fs.existsSync(imagePath)) {
+    return imagePath;
+  }
+
+  console.log('Downloading The Great Wave...');
+  const imageUrl = 'https://images.metmuseum.org/CRDImages/as/original/DP141063.jpg';
+  const response = await axios.get(imageUrl, {
+    responseType: 'arraybuffer',
+    headers: { 'User-Agent': 'Mozilla/5.0 (compatible; ArtBot/1.0)' }
+  });
+  fs.writeFileSync(imagePath, response.data);
+  return imagePath;
+}
+
+async function createMetamorphosisVariation(imagePath, variationNum) {
+  console.log(`\n=== Creating Variation ${variationNum} ===`);
+
+  const replicate = new Replicate({
+    auth: process.env.REPLICATE_API_TOKEN,
+  });
+
+  // Prepare image
+  const optimizedPath = path.join(OUTPUT_DIR, `wave_opt_${variationNum}.jpg`);
+  await sharp(imagePath)
+    .resize(1024, 576, { fit: 'cover', position: 'center' })
+    .jpeg({ quality: 95 })
+    .toFile(optimizedPath);
+
+  const imageBuffer = fs.readFileSync(optimizedPath);
+  const base64Image = imageBuffer.toString('base64');
+  const dataUri = `data:image/jpeg;base64,${base64Image}`;
+
+  // Vary the motion parameters for different effects
+  const seed = Math.floor(Math.random() * 1000000);
+  const motionBucket = 200 + Math.floor(Math.random() * 55);  // 200-255 range
+  const condAug = 0.05 + (Math.random() * 0.1);  // 0.05-0.15 range
+  const fps = 5 + Math.floor(Math.random() * 4);  // 5-8 fps
+
+  console.log(`Settings: motion=${motionBucket}, cond_aug=${condAug.toFixed(2)}, fps=${fps}, seed=${seed}`);
+  console.log('Generating... (60-120s)');
+
+  const startTime = Date.now();
+
+  const output = await replicate.run(
+    "stability-ai/stable-video-diffusion:3f0457e4619daac51203dedb472816fd4af51f3149fa7a9e0b5ffcf1b8172438",
+    {
+      input: {
+        input_image: dataUri,
+        video_length: "25_frames_with_svd_xt",
+        sizing_strategy: "maintain_aspect_ratio",
+        frames_per_second: fps,
+        motion_bucket_id: motionBucket,
+        cond_aug: condAug,
+        decoding_t: 14,
+        seed: seed
+      }
+    }
+  );
+
+  const elapsed = ((Date.now() - startTime) / 1000).toFixed(1);
+  console.log(`Generated in ${elapsed}s`);
+
+  // Download video
+  const videoResponse = await axios.get(output, { responseType: 'arraybuffer' });
+  const timestamp = Date.now();
+  const videoPath = path.join(OUTPUT_DIR, `wave_v${variationNum}_${timestamp}.mp4`);
+  fs.writeFileSync(videoPath, videoResponse.data);
+
+  // Convert to H.264
+  const h264Path = videoPath.replace('.mp4', '_h264.mp4');
+  execSync(`ffmpeg -y -i "${videoPath}" -c:v libx264 -preset fast -crf 23 -pix_fmt yuv420p -movflags +faststart -an "${h264Path}"`, { stdio: 'pipe' });
+  fs.unlinkSync(videoPath);
+  fs.renameSync(h264Path, videoPath);
+
+  // Cleanup
+  fs.unlinkSync(optimizedPath);
+
+  return videoPath;
+}
+
+async function postVariation(videoPath, variationNum) {
+  const captions = [
+    "Watch the waves crash and surge!",
+    "Hokusai's masterpiece comes alive",
+    "AI brings motion to ancient art",
+    "The ocean awakens",
+    "Waves in perpetual motion",
+    "Art transformed by AI",
+    "Feel the power of the sea",
+    "Dynamic reinterpretation",
+    "The wave never stops",
+    "Ancient art, modern motion"
+  ];
+
+  const animationResult = {
+    animatedVideo: videoPath,
+    artworkMetadata: {
+      title: "The Great Wave off Kanagawa",
+      artist: "Katsushika Hokusai",
+      year: "1831",
+      museum: `Variation ${variationNum}/36 - ${captions[variationNum % captions.length]}`
+    },
+    isAnimated: true
+  };
+
+  const result = await postToX(animationResult);
+  console.log(`Posted! Tweet ID: ${result.data.id}`);
+  return result;
+}
+
+async function runOneIteration() {
+  postCount++;
+  console.log(`\n${'='.repeat(60)}`);
+  console.log(`POST ${postCount}/${TOTAL_POSTS} - ${new Date().toISOString()}`);
+  console.log(`${'='.repeat(60)}`);
+
+  try {
+    const imagePath = await downloadGreatWave();
+    const videoPath = await createMetamorphosisVariation(imagePath, postCount);
+    await postVariation(videoPath, postCount);
+    successCount++;
+    console.log(`Success! (${successCount}/${postCount} successful)`);
+  } catch (error) {
+    console.error(`Failed: ${error.message}`);
+  }
+
+  if (postCount < TOTAL_POSTS) {
+    console.log(`\nNext post in 5 minutes...`);
+    console.log(`Remaining: ${TOTAL_POSTS - postCount} posts, ~${((TOTAL_POSTS - postCount) * 5)} minutes`);
+  }
+}
+
+async function main() {
+  console.log(`
+╔═══════════════════════════════════════════════════════════╗
+║       THE GREAT WAVE - 3 HOUR METAMORPHOSIS TEST          ║
+║       36 variations posted every 5 minutes                ║
+╚═══════════════════════════════════════════════════════════╝
+
+Duration: 3 hours
+Interval: 5 minutes
+Total Posts: 36
+Start: ${new Date().toISOString()}
+End (estimated): ${new Date(Date.now() + 3 * 60 * 60 * 1000).toISOString()}
+`);
+
+  // First post immediately
+  await runOneIteration();
+
+  // Then schedule remaining posts
+  const interval = setInterval(async () => {
+    await runOneIteration();
+
+    if (postCount >= TOTAL_POSTS) {
+      clearInterval(interval);
+      console.log(`\n${'='.repeat(60)}`);
+      console.log('ALL POSTS COMPLETE!');
+      console.log(`Success rate: ${successCount}/${TOTAL_POSTS} (${((successCount/TOTAL_POSTS)*100).toFixed(1)}%)`);
+      console.log(`${'='.repeat(60)}\n`);
+      process.exit(0);
+    }
+  }, INTERVAL_MS);
+}
+
+main().catch(console.error);
diff --git a/setup.sh b/setup.sh
new file mode 100755
index 0000000..86419e8
--- /dev/null
+++ b/setup.sh
@@ -0,0 +1,67 @@
+#!/bin/bash
+
+echo "Museum Art Bot Setup Script"
+echo "==========================="
+
+if [ ! -f .env ]; then
+    echo "Creating .env file from template..."
+    cp .env.example .env
+    echo "Please edit .env file with your API credentials"
+fi
+
+echo "Installing dependencies..."
+npm install
+
+echo "Creating required directories..."
+mkdir -p output
+mkdir -p logs
+
+echo ""
+echo "Testing configuration..."
+node src/index.js --test
+
+if [ $? -eq 0 ]; then
+    echo "✓ Configuration test passed!"
+else
+    echo "✗ Configuration test failed. Please check your .env file"
+    exit 1
+fi
+
+echo ""
+echo "Do you want to:"
+echo "1) Run once now"
+echo "2) Set up system cron job (runs every 6 hours)"
+echo "3) Run continuously with built-in scheduler"
+echo "4) Exit"
+
+read -p "Choose option (1-4): " choice
+
+case $choice in
+    1)
+        echo "Running once..."
+        node src/index.js --once
+        ;;
+    2)
+        echo "Setting up system cron job..."
+        SCRIPT_PATH="$(cd "$(dirname "$0")" && pwd)/src/index.js"
+        CRON_CMD="0 */6 * * * cd $(pwd) && /usr/bin/node $SCRIPT_PATH --once >> $(pwd)/logs/cron.log 2>&1"
+
+        (crontab -l 2>/dev/null | grep -v "animatemuseumposts"; echo "$CRON_CMD") | crontab -
+
+        echo "Cron job installed! It will run every 6 hours."
+        echo "To view cron jobs: crontab -l"
+        echo "To remove: crontab -l | grep -v animatemuseumposts | crontab -"
+        ;;
+    3)
+        echo "Starting continuous scheduler..."
+        node src/index.js
+        ;;
+    4)
+        echo "Exiting..."
+        exit 0
+        ;;
+    *)
+        echo "Invalid option"
+        exit 1
+        ;;
+esac
\ No newline at end of file
diff --git a/src/addBranding.js b/src/addBranding.js
new file mode 100644
index 0000000..4250519
--- /dev/null
+++ b/src/addBranding.js
@@ -0,0 +1,241 @@
+import { execSync, spawn } from 'child_process';
+import fs from 'fs';
+import path from 'path';
+import { fileURLToPath } from 'url';
+import https from 'https';
+
+const __filename = fileURLToPath(import.meta.url);
+const __dirname = path.dirname(__filename);
+
+const ASSETS_DIR = path.join(__dirname, '..', 'assets');
+const OUTPUT_DIR = path.join(__dirname, '..', 'output');
+
+// Ensure assets directory exists
+if (!fs.existsSync(ASSETS_DIR)) {
+  fs.mkdirSync(ASSETS_DIR, { recursive: true });
+}
+
+/**
+ * Download royalty-free jazz music if not exists
+ */
+async function ensureJazzMusic() {
+  const musicPath = path.join(ASSETS_DIR, 'jazz_loop.mp3');
+
+  if (fs.existsSync(musicPath)) {
+    return musicPath;
+  }
+
+  console.log('Downloading royalty-free jazz music...');
+
+  // Use a simple tone generation as fallback (no copyright issues)
+  // Create a simple ambient sound using ffmpeg
+  try {
+    execSync(`ffmpeg -f lavfi -i "sine=frequency=440:duration=5" -af "volume=0.3,lowpass=f=800" -y "${musicPath}"`, {
+      stdio: 'pipe'
+    });
+    console.log('Created ambient intro sound');
+  } catch (e) {
+    console.log('Could not create audio, continuing without music');
+    return null;
+  }
+
+  return musicPath;
+}
+
+/**
+ * Create intro video with GoodQuestion.AI branding
+ */
+async function createIntroVideo() {
+  const introPath = path.join(ASSETS_DIR, 'intro.mp4');
+
+  // Create intro video with text overlay
+  // 1-second intro with quick fade
+  const ffmpegCmd = `ffmpeg -y -f lavfi -i "color=c=black:s=1280x720:d=1" \
+    -vf "drawtext=text='GoodQuestion.AI':fontcolor=white:fontsize=72:x=(w-text_w)/2:y=(h-text_h)/2:alpha='if(lt(t,0.2),t*5,1)'" \
+    -c:v libx264 -pix_fmt yuv420p -t 1 "${introPath}"`;
+
+  try {
+    execSync(ffmpegCmd, { stdio: 'pipe', shell: true });
+    console.log('Created intro video');
+    return introPath;
+  } catch (e) {
+    console.error('Failed to create intro:', e.message);
+    return null;
+  }
+}
+
+/**
+ * Create outro video with GoodQuestion.AI branding
+ */
+async function createOutroVideo() {
+  const outroPath = path.join(ASSETS_DIR, 'outro.mp4');
+
+  // Create outro video with call to action
+  // 1-second outro
+  const ffmpegCmd = `ffmpeg -y -f lavfi -i "color=c=black:s=1280x720:d=1" \
+    -vf "drawtext=text='@goodquestionai':fontcolor=cyan:fontsize=48:x=(w-text_w)/2:y=(h-text_h)/2:alpha='if(lt(t,0.2),t*5,1)'" \
+    -c:v libx264 -pix_fmt yuv420p -t 1 "${outroPath}"`;
+
+  try {
+    execSync(ffmpegCmd, { stdio: 'pipe', shell: true });
+    console.log('Created outro video');
+    return outroPath;
+  } catch (e) {
+    console.error('Failed to create outro:', e.message);
+    return null;
+  }
+}
+
+/**
+ * Add branding intro/outro to video
+ * Extends main video to 10 seconds, adds 3s intro + 3s outro = 16s total
+ */
+export async function addBrandingToVideo(videoPath, metadata) {
+  try {
+    console.log('Adding GoodQuestion.AI branding...');
+
+    // Check if video exists and has valid duration
+    const probeCmd = `ffprobe -v error -show_entries format=duration -of csv=p=0 "${videoPath}"`;
+    let duration;
+    try {
+      duration = parseFloat(execSync(probeCmd, { stdio: 'pipe' }).toString().trim());
+    } catch (e) {
+      console.log('Could not probe video, skipping branding');
+      return videoPath;
+    }
+
+    if (duration < 0.5) {
+      console.log('Video too short for branding, skipping');
+      return videoPath;
+    }
+
+    // Extend video to 10 seconds if shorter
+    const TARGET_DURATION = 10;
+    if (duration < TARGET_DURATION) {
+      console.log(`Extending video from ${duration.toFixed(1)}s to ${TARGET_DURATION}s...`);
+      const extendedPath = videoPath.replace('.mp4', '_extended.mp4');
+
+      // Calculate slowdown factor or loop count
+      const slowFactor = Math.min(duration / TARGET_DURATION, 0.5); // Max 2x slowdown
+      const loopCount = Math.ceil(TARGET_DURATION / duration);
+
+      // Use a combination: slow down slightly + loop to reach 10s
+      const slowSpeed = Math.max(0.5, duration / TARGET_DURATION);
+
+      try {
+        // Method: Slow down + loop + trim to exactly 10 seconds
+        execSync(`ffmpeg -y -stream_loop ${loopCount} -i "${videoPath}" -vf "setpts=${1/slowSpeed}*PTS" -t ${TARGET_DURATION} -c:v libx264 -pix_fmt yuv420p "${extendedPath}"`, {
+          stdio: 'pipe',
+          timeout: 60000
+        });
+        fs.unlinkSync(videoPath);
+        fs.renameSync(extendedPath, videoPath);
+        console.log(`Video extended to ${TARGET_DURATION}s`);
+      } catch (e) {
+        console.log('Could not extend video, using original');
+      }
+    }
+
+    // Create intro and outro if they don't exist
+    const introPath = await createIntroVideo();
+    const outroPath = await createOutroVideo();
+
+    if (!introPath || !outroPath) {
+      console.log('Could not create branding videos, using original');
+      return videoPath;
+    }
+
+    // Get video dimensions
+    const dimensionsCmd = `ffprobe -v error -select_streams v:0 -show_entries stream=width,height -of csv=p=0 "${videoPath}"`;
+    let width = 1280, height = 720;
+    try {
+      const dims = execSync(dimensionsCmd, { stdio: 'pipe' }).toString().trim().split(',');
+      width = parseInt(dims[0]) || 1280;
+      height = parseInt(dims[1]) || 720;
+    } catch (e) {}
+
+    // Create concat file
+    const timestamp = Date.now();
+    const concatFile = path.join(OUTPUT_DIR, `concat_${timestamp}.txt`);
+    const brandedPath = path.join(OUTPUT_DIR, `branded_${timestamp}.mp4`);
+
+    // Scale all videos to same size and concatenate
+    const scaledIntro = path.join(OUTPUT_DIR, `scaled_intro_${timestamp}.mp4`);
+    const scaledMain = path.join(OUTPUT_DIR, `scaled_main_${timestamp}.mp4`);
+    const scaledOutro = path.join(OUTPUT_DIR, `scaled_outro_${timestamp}.mp4`);
+
+    // Scale intro
+    execSync(`ffmpeg -y -i "${introPath}" -vf "scale=${width}:${height}:force_original_aspect_ratio=decrease,pad=${width}:${height}:(ow-iw)/2:(oh-ih)/2" -c:v libx264 -pix_fmt yuv420p "${scaledIntro}"`, { stdio: 'pipe' });
+
+    // Scale main video
+    execSync(`ffmpeg -y -i "${videoPath}" -vf "scale=${width}:${height}:force_original_aspect_ratio=decrease,pad=${width}:${height}:(ow-iw)/2:(oh-ih)/2" -c:v libx264 -pix_fmt yuv420p "${scaledMain}"`, { stdio: 'pipe' });
+
+    // Scale outro
+    execSync(`ffmpeg -y -i "${outroPath}" -vf "scale=${width}:${height}:force_original_aspect_ratio=decrease,pad=${width}:${height}:(ow-iw)/2:(oh-ih)/2" -c:v libx264 -pix_fmt yuv420p "${scaledOutro}"`, { stdio: 'pipe' });
+
+    // Create concat file
+    fs.writeFileSync(concatFile, `file '${scaledIntro}'\nfile '${scaledMain}'\nfile '${scaledOutro}'`);
+
+    // Concatenate videos
+    execSync(`ffmpeg -y -f concat -safe 0 -i "${concatFile}" -c:v libx264 -pix_fmt yuv420p "${brandedPath}"`, { stdio: 'pipe' });
+
+    // Cleanup temp files
+    [concatFile, scaledIntro, scaledMain, scaledOutro].forEach(f => {
+      try { fs.unlinkSync(f); } catch (e) {}
+    });
+
+    // Replace original with branded version
+    fs.unlinkSync(videoPath);
+    fs.renameSync(brandedPath, videoPath);
+
+    console.log('Added GoodQuestion.AI branding successfully!');
+    return videoPath;
+
+  } catch (error) {
+    console.error('Branding failed:', error.message);
+    return videoPath; // Return original on failure
+  }
+}
+
+/**
+ * Add text overlay with artwork info
+ */
+export async function addArtworkOverlay(videoPath, metadata) {
+  try {
+    const title = (metadata.title || 'Artwork').replace(/'/g, "\\'").substring(0, 40);
+    const artist = (metadata.artist || 'Unknown').replace(/'/g, "\\'").substring(0, 30);
+
+    const timestamp = Date.now();
+    const overlayPath = path.join(OUTPUT_DIR, `overlay_${timestamp}.mp4`);
+
+    // Add subtle text overlay at bottom
+    const ffmpegCmd = `ffmpeg -y -i "${videoPath}" \
+      -vf "drawtext=text='${title}':fontcolor=white:fontsize=24:x=20:y=h-60:alpha=0.8,\
+           drawtext=text='${artist}':fontcolor=gray:fontsize=18:x=20:y=h-30:alpha=0.7" \
+      -c:v libx264 -pix_fmt yuv420p "${overlayPath}"`;
+
+    execSync(ffmpegCmd, { stdio: 'pipe', shell: true });
+
+    fs.unlinkSync(videoPath);
+    fs.renameSync(overlayPath, videoPath);
+
+    console.log('Added artwork overlay');
+    return videoPath;
+
+  } catch (error) {
+    console.error('Overlay failed:', error.message);
+    return videoPath;
+  }
+}
+
+// Test if run directly
+if (process.argv[1] === fileURLToPath(import.meta.url)) {
+  const testVideo = process.argv[2];
+  if (testVideo) {
+    addBrandingToVideo(testVideo, { title: 'Test', artist: 'Test' })
+      .then(r => console.log('Branded video:', r))
+      .catch(e => console.error('Error:', e));
+  } else {
+    console.log('Usage: node addBranding.js <video-path>');
+  }
+}
diff --git a/src/animateKenBurns.js b/src/animateKenBurns.js
new file mode 100644
index 0000000..1e0566e
--- /dev/null
+++ b/src/animateKenBurns.js
@@ -0,0 +1,130 @@
+import sharp from 'sharp';
+import GIFEncoder from 'gif-encoder-2';
+import fs from 'fs';
+import path from 'path';
+import { fileURLToPath } from 'url';
+
+const __filename = fileURLToPath(import.meta.url);
+const __dirname = path.dirname(__filename);
+
+/**
+ * Create Ken Burns effect (pan/zoom) animation locally
+ * No external API required - uses sharp for image manipulation
+ */
+export async function createKenBurnsAnimation(imagePath, metadata) {
+  try {
+    console.log('Creating Ken Burns animation locally...');
+
+    const FRAME_COUNT = 30;
+    const FPS = 6;
+    const DURATION = 5; // 5 seconds
+
+    // Get image dimensions
+    const imageInfo = await sharp(imagePath).metadata();
+    const { width, height } = imageInfo;
+
+    // Target output size
+    const outputWidth = 800;
+    const outputHeight = 600;
+
+    // Create GIF encoder
+    const encoder = new GIFEncoder(outputWidth, outputHeight, 'neuquant', true);
+    const outputDir = path.join(__dirname, '..', 'output');
+    if (!fs.existsSync(outputDir)) {
+      fs.mkdirSync(outputDir, { recursive: true });
+    }
+
+    const timestamp = Date.now();
+    const gifPath = path.join(outputDir, `kenburns_${timestamp}.gif`);
+    const writeStream = fs.createWriteStream(gifPath);
+
+    encoder.createReadStream().pipe(writeStream);
+    encoder.start();
+    encoder.setDelay(1000 / FPS);
+    encoder.setQuality(10);
+    encoder.setRepeat(0); // Loop forever
+
+    // Ken Burns parameters - slow zoom in with slight pan
+    const startScale = 1.0;
+    const endScale = 1.15; // 15% zoom
+    const panX = width * 0.05; // 5% horizontal pan
+    const panY = height * 0.03; // 3% vertical pan
+
+    console.log(`Generating ${FRAME_COUNT} frames...`);
+
+    for (let i = 0; i < FRAME_COUNT; i++) {
+      const progress = i / (FRAME_COUNT - 1);
+
+      // Calculate current scale and position
+      const scale = startScale + (endScale - startScale) * progress;
+      const cropWidth = Math.floor(width / scale);
+      const cropHeight = Math.floor(height / scale);
+
+      // Center with slight pan
+      const left = Math.floor((width - cropWidth) / 2 + panX * progress);
+      const top = Math.floor((height - cropHeight) / 2 + panY * progress);
+
+      // Ensure we don't go out of bounds
+      const safeLeft = Math.max(0, Math.min(left, width - cropWidth));
+      const safeTop = Math.max(0, Math.min(top, height - cropHeight));
+
+      // Extract and resize frame
+      const frameBuffer = await sharp(imagePath)
+        .extract({
+          left: safeLeft,
+          top: safeTop,
+          width: cropWidth,
+          height: cropHeight
+        })
+        .resize(outputWidth, outputHeight)
+        .raw()
+        .toBuffer();
+
+      // Add frame to GIF
+      encoder.addFrame(frameBuffer);
+    }
+
+    encoder.finish();
+
+    // Wait for write to complete
+    await new Promise((resolve, reject) => {
+      writeStream.on('finish', resolve);
+      writeStream.on('error', reject);
+    });
+
+    const stats = fs.statSync(gifPath);
+    console.log(`Ken Burns GIF created: ${(stats.size / 1024).toFixed(1)} KB`);
+
+    return {
+      originalImage: imagePath,
+      animatedImage: gifPath,
+      artworkMetadata: metadata,
+      isAnimated: true,
+      animationType: 'ken-burns',
+      format: 'gif',
+      frames: FRAME_COUNT,
+      duration: DURATION
+    };
+
+  } catch (error) {
+    console.error('Ken Burns animation failed:', error.message);
+    return {
+      originalImage: imagePath,
+      isStatic: true,
+      artworkMetadata: metadata,
+      error: error.message
+    };
+  }
+}
+
+// Test if run directly
+if (process.argv[1] === fileURLToPath(import.meta.url)) {
+  const testImage = process.argv[2] || path.join(__dirname, '..', 'output', 'artwork_test.jpg');
+  if (fs.existsSync(testImage)) {
+    createKenBurnsAnimation(testImage, { title: 'Test' })
+      .then(r => console.log('Result:', r))
+      .catch(e => console.error('Failed:', e));
+  } else {
+    console.log('No test image found. Usage: node animateKenBurns.js <image-path>');
+  }
+}
diff --git a/src/animateWithAI.js b/src/animateWithAI.js
new file mode 100644
index 0000000..f558426
--- /dev/null
+++ b/src/animateWithAI.js
@@ -0,0 +1,154 @@
+import axios from 'axios';
+import fs from 'fs';
+import path from 'path';
+import { fileURLToPath } from 'url';
+import dotenv from 'dotenv';
+import sharp from 'sharp';
+
+dotenv.config();
+
+const __filename = fileURLToPath(import.meta.url);
+const __dirname = path.dirname(__filename);
+
+// Free AI animation options
+const ANIMATION_SERVICES = {
+  // LeiaPix - Free depth-based animation (no API key needed)
+  LEIAPIX: {
+    url: 'https://www.immersity.ai/api/v1/animation',
+    free: true
+  },
+  // MyHeritage AI - Free for limited use
+  MYHERITAGE: {
+    url: 'https://www.myheritage.com/deep-nostalgia/api',
+    free: true
+  },
+  // Replicate - Pay per use but very cheap ($0.02 per generation)
+  REPLICATE: {
+    url: 'https://api.replicate.com/v1/predictions',
+    model: 'stability-ai/stable-video-diffusion',
+    free: false
+  }
+};
+
+export async function animateWithFreeAI(imagePath, metadata) {
+  try {
+    console.log('Attempting free AI animation...');
+
+    // Option 1: Try Immersity AI (LeiaPix) - Creates 3D depth animation
+    try {
+      console.log('Trying Immersity AI for 3D depth animation...');
+
+      // This service creates a 3D depth map and animates it
+      // Note: This is a simplified example - the actual API might require registration
+      const imageBuffer = fs.readFileSync(imagePath);
+      const base64Image = imageBuffer.toString('base64');
+
+      // For Immersity AI, we'd need to:
+      // 1. Upload the image
+      // 2. Wait for processing
+      // 3. Download the animated result
+
+      // Since this requires web scraping or unofficial API, let's try another approach
+
+    } catch (error) {
+      console.log('Immersity AI not available');
+    }
+
+    // Option 2: Use Stable Video Diffusion via Replicate (very cheap but not free)
+    if (process.env.REPLICATE_API_TOKEN) {
+      console.log('Using Replicate Stable Video Diffusion...');
+
+      const response = await axios.post(
+        'https://api.replicate.com/v1/predictions',
+        {
+          version: 'stability-ai/stable-video-diffusion:3f0457e4619daac51203dedb472816fd4af51f3149fa7a9e0b5ffcf1b8172438',
+          input: {
+            input_image: `data:image/jpeg;base64,${fs.readFileSync(imagePath).toString('base64')}`,
+            frames_per_second: 7,
+            motion_bucket_id: 127,
+            cond_aug: 0.02,
+            decoding_t: 7,
+            seed: Math.floor(Math.random() * 1000000)
+          }
+        },
+        {
+          headers: {
+            'Authorization': `Token ${process.env.REPLICATE_API_TOKEN}`,
+            'Content-Type': 'application/json'
+          }
+        }
+      );
+
+      // Poll for completion
+      let prediction = response.data;
+      while (prediction.status !== 'succeeded' && prediction.status !== 'failed') {
+        await new Promise(resolve => setTimeout(resolve, 1000));
+        const checkResponse = await axios.get(
+          `https://api.replicate.com/v1/predictions/${prediction.id}`,
+          {
+            headers: {
+              'Authorization': `Token ${process.env.REPLICATE_API_TOKEN}`
+            }
+          }
+        );
+        prediction = checkResponse.data;
+      }
+
+      if (prediction.status === 'succeeded' && prediction.output) {
+        // Download the video
+        const videoResponse = await axios.get(prediction.output, {
+          responseType: 'arraybuffer'
+        });
+
+        const outputDir = path.join(__dirname, '..', 'output');
+        const timestamp = new Date().getTime();
+        const videoPath = path.join(outputDir, `animated_${timestamp}.mp4`);
+
+        fs.writeFileSync(videoPath, videoResponse.data);
+
+        console.log('AI-animated video created successfully!');
+        return {
+          originalImage: imagePath,
+          animatedVideo: videoPath,
+          artworkMetadata: metadata,
+          isAnimated: true,
+          animationType: 'ai-video'
+        };
+      }
+    }
+
+    // Option 3: Create a cinemagraph-style animation with depth estimation
+    console.log('Creating depth-based animation effect...');
+
+    // This would use depth estimation to create parallax effect
+    // For now, returning original as we need proper AI service
+
+    return {
+      originalImage: imagePath,
+      isStatic: true,
+      artworkMetadata: metadata,
+      needsAIService: true
+    };
+
+  } catch (error) {
+    console.error('Error in AI animation:', error.message);
+    return {
+      originalImage: imagePath,
+      isStatic: true,
+      artworkMetadata: metadata,
+      error: error.message
+    };
+  }
+}
+
+// Helper function to create depth-based animation locally
+export async function createDepthAnimation(imagePath) {
+  // This would:
+  // 1. Use MiDaS or DPT for depth estimation
+  // 2. Create layers based on depth
+  // 3. Animate layers with parallax
+  // But requires Python integration or pre-trained models
+
+  console.log('Depth animation requires additional setup');
+  return null;
+}
\ No newline at end of file
diff --git a/src/animateWithGrok.js b/src/animateWithGrok.js
new file mode 100644
index 0000000..b8a7fbf
--- /dev/null
+++ b/src/animateWithGrok.js
@@ -0,0 +1,179 @@
+import { createLumaAnimation } from './animateWithLuma.js';
+import { createHuggingFaceAnimation } from './animateWithHuggingFace.js';
+import { createRunwayAnimation } from './animateWithRunway.js';
+import { createRealAIVideo } from './animateWithReplicate.js';
+import { createKenBurnsAnimation } from './animateKenBurns.js';
+import { addBrandingToVideo, addArtworkOverlay } from './addBranding.js';
+import fs from 'fs';
+import path from 'path';
+import { fileURLToPath } from 'url';
+import dotenv from 'dotenv';
+
+dotenv.config();
+
+const __filename = fileURLToPath(import.meta.url);
+const __dirname = path.dirname(__filename);
+
+// Track animation service success rates
+const STATS_FILE = path.join(__dirname, '..', 'logs', 'animation-stats.json');
+
+function loadStats() {
+  try {
+    if (fs.existsSync(STATS_FILE)) {
+      return JSON.parse(fs.readFileSync(STATS_FILE, 'utf-8'));
+    }
+  } catch (e) {}
+  return {
+    luma: { attempts: 0, successes: 0 },
+    huggingface: { attempts: 0, successes: 0 },
+    runway: { attempts: 0, successes: 0 },
+    replicate: { attempts: 0, successes: 0 },
+    kenburns: { attempts: 0, successes: 0 },
+    static: { attempts: 0, successes: 0 }
+  };
+}
+
+function saveStats(stats) {
+  const logsDir = path.join(__dirname, '..', 'logs');
+  if (!fs.existsSync(logsDir)) {
+    fs.mkdirSync(logsDir, { recursive: true });
+  }
+  fs.writeFileSync(STATS_FILE, JSON.stringify(stats, null, 2));
+}
+
+function recordAttempt(service, success) {
+  const stats = loadStats();
+  // Ensure the service exists in stats
+  if (!stats[service]) {
+    stats[service] = { attempts: 0, successes: 0 };
+  }
+  stats[service].attempts++;
+  if (success) stats[service].successes++;
+  saveStats(stats);
+}
+
+/**
+ * Animation cascade - tries services in order of cost/quality
+ * Order: HuggingFace (free) → Runway (quality) → Replicate (reliable) → KenBurns (local) → Static
+ */
+export async function animateArtwork(imagePath, metadata) {
+  console.log('Starting animation cascade...');
+  console.log('Goal: Make artwork COME ALIVE with real animation!');
+
+  // 0. Skip Luma for now (single frame output issue)
+  // TODO: Fix Luma model to generate actual video
+  console.log('[0/5] Skipping Luma (output issues, using SVD instead)');
+
+  // 1. Try HuggingFace (free tier)
+  if (process.env.HUGGINGFACE_TOKEN) {
+    console.log('\n[1/5] Trying HuggingFace (free)...');
+    try {
+      const result = await withTimeout(
+        createHuggingFaceAnimation(imagePath, metadata),
+        60000,
+        'HuggingFace timeout'
+      );
+      if (result.isAnimated) {
+        recordAttempt('huggingface', true);
+        console.log('HuggingFace animation succeeded!');
+        return result;
+      }
+      recordAttempt('huggingface', false);
+    } catch (error) {
+      console.log('HuggingFace failed:', error.message);
+      recordAttempt('huggingface', false);
+    }
+  } else {
+    console.log('[1/5] Skipping HuggingFace (no token)');
+  }
+
+  // 2. Try RunwayML (premium quality)
+  if (process.env.RUNWAY_API_TOKEN) {
+    console.log('\n[2/5] Trying RunwayML (premium)...');
+    try {
+      const result = await withTimeout(
+        createRunwayAnimation(imagePath, metadata),
+        180000,  // 3 min for Runway
+        'RunwayML timeout'
+      );
+      if (result.isAnimated) {
+        recordAttempt('runway', true);
+        console.log('RunwayML animation succeeded!');
+        return result;
+      }
+      recordAttempt('runway', false);
+    } catch (error) {
+      console.log('RunwayML failed:', error.message);
+      recordAttempt('runway', false);
+    }
+  } else {
+    console.log('[2/5] Skipping RunwayML (no token)');
+  }
+
+  // 3. Try Replicate (reliable, $0.02/video) - Real AI animation!
+  if (process.env.REPLICATE_API_TOKEN) {
+    console.log('\n[3/5] Trying Replicate SVD ($0.02) - Real AI animation...');
+    try {
+      const result = await withTimeout(
+        createRealAIVideo(imagePath, metadata),
+        200000,  // 3+ minutes for AI video generation
+        'Replicate timeout'
+      );
+      if (result.isAnimated && result.animatedVideo) {
+        recordAttempt('replicate', true);
+        console.log('Replicate animation succeeded!');
+        // Add GoodQuestion.AI branding
+        await addBrandingToVideo(result.animatedVideo, metadata);
+        return result;
+      }
+      recordAttempt('replicate', false);
+    } catch (error) {
+      console.log('Replicate failed:', error.message);
+      recordAttempt('replicate', false);
+    }
+  } else {
+    console.log('[3/5] Skipping Replicate (no token)');
+  }
+
+  // 4. Try Ken Burns (local, free)
+  console.log('\n[4/5] Trying Ken Burns (local)...');
+  try {
+    const result = await createKenBurnsAnimation(imagePath, metadata);
+    if (result.isAnimated) {
+      recordAttempt('kenburns', true);
+      console.log('Ken Burns animation succeeded!');
+      return result;
+    }
+    recordAttempt('kenburns', false);
+  } catch (error) {
+    console.log('Ken Burns failed:', error.message);
+    recordAttempt('kenburns', false);
+  }
+
+  // 5. Final fallback - static image
+  console.log('\n[5/5] Using static image (all animations failed)');
+  recordAttempt('static', true);
+
+  return {
+    originalImage: imagePath,
+    isStatic: true,
+    artworkMetadata: metadata,
+    animationType: 'static'
+  };
+}
+
+// Helper function with timeout
+async function withTimeout(promise, ms, message) {
+  return Promise.race([
+    promise,
+    new Promise((_, reject) => setTimeout(() => reject(new Error(message)), ms))
+  ]);
+}
+
+export function createSimpleAnimation(imagePath, metadata) {
+  return animateArtwork(imagePath, metadata);
+}
+
+export function getAnimationStats() {
+  return loadStats();
+}
diff --git a/src/animateWithGrokFrames.js b/src/animateWithGrokFrames.js
new file mode 100644
index 0000000..e83ca69
--- /dev/null
+++ b/src/animateWithGrokFrames.js
@@ -0,0 +1,206 @@
+import axios from 'axios';
+import fs from 'fs';
+import path from 'path';
+import { fileURLToPath } from 'url';
+import dotenv from 'dotenv';
+import GIFEncoder from 'gif-encoder-2';
+import sharp from 'sharp';
+
+dotenv.config();
+
+const __filename = fileURLToPath(import.meta.url);
+const __dirname = path.dirname(__filename);
+
+const GROK_API_KEY = process.env.GROK_API_KEY;
+const GROK_API_URL = 'https://api.x.ai/v1';
+
+export async function createAIAnimation(imagePath, metadata) {
+  try {
+    if (!GROK_API_KEY) {
+      throw new Error('GROK_API_KEY not configured');
+    }
+
+    console.log('Creating AI animation using Grok vision capabilities...');
+
+    const imageBuffer = fs.readFileSync(imagePath);
+    const base64Image = imageBuffer.toString('base64');
+
+    // Ask Grok to describe how the painting should be animated
+    const animationResponse = await axios.post(
+      `${GROK_API_URL}/chat/completions`,
+      {
+        model: 'grok-2-vision-1212',
+        messages: [
+          {
+            role: 'system',
+            content: 'You are an expert at bringing classical paintings to life through animation.'
+          },
+          {
+            role: 'user',
+            content: [
+              {
+                type: 'text',
+                text: `Analyze this painting "${metadata.title}" and describe exactly how to animate it. Focus on one subtle movement that would bring it to life. For example: water rippling, flames flickering, fabric swaying, eyes blinking, or light changing. Be specific about what moves and how. Keep it under 50 words.`
+              },
+              {
+                type: 'image_url',
+                image_url: {
+                  url: `data:image/jpeg;base64,${base64Image}`
+                }
+              }
+            ]
+          }
+        ],
+        max_tokens: 100,
+        temperature: 0.7
+      },
+      {
+        headers: {
+          'Authorization': `Bearer ${GROK_API_KEY}`,
+          'Content-Type': 'application/json'
+        }
+      }
+    );
+
+    const animationConcept = animationResponse.data.choices[0].message.content;
+    console.log('Animation concept:', animationConcept);
+
+    // Since Grok can't generate actual video, we'll create a sophisticated animated GIF
+    // with effects that simulate the suggested animation
+    const outputDir = path.join(__dirname, '..', 'output');
+    const timestamp = new Date().getTime();
+    const outputPath = path.join(outputDir, `ai_animated_${timestamp}.gif`);
+
+    const width = 500;
+    const height = 500;
+    const frameCount = 20;
+
+    // Load and prepare the base image
+    const baseImage = await sharp(imagePath)
+      .resize(width, height, { fit: 'cover' })
+      .jpeg()
+      .toBuffer();
+
+    // Create GIF encoder
+    const encoder = new GIFEncoder(width, height, 'neuquant');
+    encoder.setDelay(100); // 100ms between frames
+    encoder.setRepeat(0); // Loop forever
+    encoder.setQuality(10);
+
+    const stream = fs.createWriteStream(outputPath);
+    encoder.createReadStream().pipe(stream);
+    encoder.start();
+
+    // Generate frames with subtle animations based on the concept
+    for (let i = 0; i < frameCount; i++) {
+      const progress = i / frameCount;
+
+      // Create frame with effects based on animation concept
+      let frameBuffer;
+
+      if (animationConcept.toLowerCase().includes('water') || animationConcept.toLowerCase().includes('rippl')) {
+        // Water ripple effect
+        const wave = Math.sin(progress * Math.PI * 4) * 5;
+        frameBuffer = await sharp(baseImage)
+          .modulate({
+            brightness: 1 + (Math.sin(progress * Math.PI * 2) * 0.05),
+            saturation: 1 + (Math.cos(progress * Math.PI * 2) * 0.1)
+          })
+          .blur(Math.max(0.3, Math.abs(wave) * 0.3))
+          .raw()
+          .toBuffer();
+
+      } else if (animationConcept.toLowerCase().includes('flame') || animationConcept.toLowerCase().includes('fire')) {
+        // Fire flicker effect
+        frameBuffer = await sharp(baseImage)
+          .modulate({
+            brightness: 0.9 + (Math.random() * 0.2),
+            hue: Math.floor(Math.random() * 10 - 5)
+          })
+          .raw()
+          .toBuffer();
+
+      } else if (animationConcept.toLowerCase().includes('light') || animationConcept.toLowerCase().includes('glow')) {
+        // Lighting change effect
+        const lightIntensity = 0.8 + (Math.sin(progress * Math.PI * 2) * 0.3);
+        frameBuffer = await sharp(baseImage)
+          .modulate({
+            brightness: lightIntensity
+          })
+          .gamma(Math.max(1.0, Math.min(3.0, 1.0 + (Math.sin(progress * Math.PI * 2) * 0.2))))
+          .raw()
+          .toBuffer();
+
+      } else if (animationConcept.toLowerCase().includes('wind') || animationConcept.toLowerCase().includes('sway')) {
+        // Swaying effect with slight distortion
+        const skewAmount = Math.sin(progress * Math.PI * 2) * 2;
+        frameBuffer = await sharp(baseImage)
+          .rotate(skewAmount, { background: { r: 0, g: 0, b: 0, alpha: 0 } })
+          .resize(width, height, { fit: 'cover' })
+          .raw()
+          .toBuffer();
+
+      } else {
+        // Default: subtle zoom and brightness pulse
+        const zoomFactor = 1 + (Math.sin(progress * Math.PI * 2) * 0.02);
+        const size = Math.round(width * zoomFactor);
+
+        frameBuffer = await sharp(baseImage)
+          .resize(size, size, { fit: 'cover' })
+          .extract({
+            left: Math.round((size - width) / 2),
+            top: Math.round((size - height) / 2),
+            width: width,
+            height: height
+          })
+          .modulate({
+            brightness: 0.95 + (Math.sin(progress * Math.PI * 2) * 0.05)
+          })
+          .raw()
+          .toBuffer();
+      }
+
+      // Convert to RGBA for GIF encoder
+      const rgbaBuffer = Buffer.alloc(width * height * 4);
+      for (let j = 0; j < frameBuffer.length; j += 3) {
+        const pixelIndex = Math.floor(j / 3) * 4;
+        rgbaBuffer[pixelIndex] = frameBuffer[j];       // R
+        rgbaBuffer[pixelIndex + 1] = frameBuffer[j + 1]; // G
+        rgbaBuffer[pixelIndex + 2] = frameBuffer[j + 2]; // B
+        rgbaBuffer[pixelIndex + 3] = 255;                // A
+      }
+
+      encoder.addFrame(rgbaBuffer);
+    }
+
+    encoder.finish();
+
+    return new Promise((resolve) => {
+      stream.on('finish', () => {
+        console.log(`AI-animated GIF created: ${outputPath}`);
+
+        // Check file size
+        const stats = fs.statSync(outputPath);
+        console.log(`File size: ${(stats.size / 1024).toFixed(2)} KB`);
+
+        resolve({
+          originalImage: imagePath,
+          animatedImage: outputPath,
+          artworkMetadata: metadata,
+          isAnimated: true,
+          animationType: 'ai-enhanced',
+          animationConcept: animationConcept
+        });
+      });
+    });
+
+  } catch (error) {
+    console.error('Error creating AI animation:', error.message);
+    return {
+      originalImage: imagePath,
+      isStatic: true,
+      artworkMetadata: metadata,
+      error: error.message
+    };
+  }
+}
\ No newline at end of file
diff --git a/src/animateWithHuggingFace.js b/src/animateWithHuggingFace.js
new file mode 100644
index 0000000..6f46900
--- /dev/null
+++ b/src/animateWithHuggingFace.js
@@ -0,0 +1,172 @@
+import { HfInference } from '@huggingface/inference';
+import fs from 'fs';
+import path from 'path';
+import { fileURLToPath } from 'url';
+import dotenv from 'dotenv';
+import axios from 'axios';
+
+dotenv.config();
+
+const __filename = fileURLToPath(import.meta.url);
+const __dirname = path.dirname(__filename);
+
+export async function createHuggingFaceAnimation(imagePath, metadata) {
+  try {
+    const HF_TOKEN = process.env.HUGGINGFACE_TOKEN;
+
+    if (!HF_TOKEN) {
+      throw new Error('HUGGINGFACE_TOKEN not configured - get it from https://huggingface.co/settings/tokens');
+    }
+
+    console.log('Creating animation with Hugging Face models...');
+
+    const hf = new HfInference(HF_TOKEN);
+    const TIMEOUT = 60000; // 60 second timeout
+
+    // Read the image
+    const imageBuffer = fs.readFileSync(imagePath);
+
+    // Try different video generation models on Hugging Face
+    console.log('Attempting video generation...');
+
+    try {
+      // Option 1: Try Stable Video Diffusion on HuggingFace (PRO required)
+      console.log('Trying Stable Video Diffusion on HuggingFace PRO...');
+      const response = await hf.imageToVideo({
+        model: 'stabilityai/stable-video-diffusion-img2vid-xt',
+        inputs: imageBuffer,
+        parameters: {
+          num_frames: 25,
+          motion_bucket_id: 180,  // Balanced motion (not too chaotic)
+          fps: 7,
+          decode_chunk_size: 8
+        },
+        options: {
+          use_gpu: true,
+          wait_for_model: true
+        }
+      });
+
+      if (response) {
+        const outputDir = path.join(__dirname, '..', 'output');
+        const timestamp = new Date().getTime();
+        const videoPath = path.join(outputDir, `hf_animated_${timestamp}.mp4`);
+
+        // Save the video
+        const videoBuffer = await response.arrayBuffer();
+        fs.writeFileSync(videoPath, Buffer.from(videoBuffer));
+
+        console.log('Hugging Face video created!');
+        return {
+          originalImage: imagePath,
+          animatedVideo: videoPath,
+          artworkMetadata: metadata,
+          isAnimated: true,
+          animationType: 'huggingface-svd'
+        };
+      }
+    } catch (e) {
+      console.log('SVD error:', e.message);
+      if (e.message.includes('quota')) {
+        console.log('GPU quota exceeded - try again later');
+      } else if (e.message.includes('Pro subscription')) {
+        console.log('Model requires PRO subscription');
+      }
+    }
+
+    // Option 2: Try AnimateDiff
+    try {
+      const response = await hf.textToVideo({
+        model: 'ByteDance/AnimateDiff-Lightning',
+        inputs: `animate the painting ${metadata.title}, make elements move naturally, flowers swaying, no camera movement`,
+        parameters: {
+          num_frames: 16,
+          guidance_scale: 7.5
+        }
+      });
+
+      if (response) {
+        const outputDir = path.join(__dirname, '..', 'output');
+        const timestamp = new Date().getTime();
+        const videoPath = path.join(outputDir, `hf_animated_${timestamp}.mp4`);
+
+        const videoBuffer = await response.arrayBuffer();
+        fs.writeFileSync(videoPath, Buffer.from(videoBuffer));
+
+        console.log('AnimateDiff video created!');
+        return {
+          originalImage: imagePath,
+          animatedVideo: videoPath,
+          artworkMetadata: metadata,
+          isAnimated: true,
+          animationType: 'animatediff'
+        };
+      }
+    } catch (e) {
+      console.log('AnimateDiff not available');
+    }
+
+    // Option 3: Use image-to-image to create animation frames
+    console.log('Creating animation frames with img2img...');
+
+    const frames = [];
+    const frameCount = 10;
+
+    for (let i = 0; i < frameCount; i++) {
+      const prompt = `${metadata.title} painting with subtle movement, frame ${i + 1} of animation sequence, slight variation`;
+
+      try {
+        const response = await hf.imageToImage({
+          model: 'stabilityai/stable-diffusion-xl-refiner-1.0',
+          inputs: imageBuffer,
+          parameters: {
+            prompt: prompt,
+            strength: 0.3,  // Low strength to keep it similar
+            guidance_scale: 7
+          }
+        });
+
+        if (response) {
+          frames.push(await response.arrayBuffer());
+        }
+      } catch (e) {
+        console.log(`Frame ${i} failed`);
+      }
+    }
+
+    if (frames.length > 5) {
+      // Convert frames to video (would need ffmpeg or similar)
+      console.log(`Generated ${frames.length} frames for animation`);
+
+      // For now, return the original
+      return {
+        originalImage: imagePath,
+        artworkMetadata: metadata,
+        isAnimated: false,
+        frames: frames.length,
+        needsVideoCompilation: true
+      };
+    }
+
+    throw new Error('No animation method succeeded');
+
+  } catch (error) {
+    console.error('Error with Hugging Face animation:', error.message);
+
+    if (error.message.includes('HUGGINGFACE_TOKEN')) {
+      console.error('\n⚠️  To use Hugging Face:');
+      console.error('1. Go to https://huggingface.co/join');
+      console.error('2. Sign up (free)');
+      console.error('3. Go to https://huggingface.co/settings/tokens');
+      console.error('4. Create new token');
+      console.error('5. Add to .env: HUGGINGFACE_TOKEN=hf_xxxxx\n');
+    }
+
+    return {
+      originalImage: imagePath,
+      isStatic: true,
+      artworkMetadata: metadata,
+      error: error.message
+    };
+  }
+}
\ No newline at end of file
diff --git a/src/animateWithLuma.js b/src/animateWithLuma.js
new file mode 100644
index 0000000..d9cdd62
--- /dev/null
+++ b/src/animateWithLuma.js
@@ -0,0 +1,260 @@
+import Replicate from 'replicate';
+import axios from 'axios';
+import fs from 'fs';
+import path from 'path';
+import { fileURLToPath } from 'url';
+import { execSync } from 'child_process';
+import sharp from 'sharp';
+import dotenv from 'dotenv';
+
+dotenv.config();
+
+const __filename = fileURLToPath(import.meta.url);
+const __dirname = path.dirname(__filename);
+
+/**
+ * Generate a creative animation prompt based on artwork content
+ */
+function generateAnimationPrompt(metadata) {
+  const title = (metadata.title || '').toLowerCase();
+  const description = (metadata.description || '').toLowerCase();
+  const department = (metadata.department || '').toLowerCase();
+
+  // Analyze content and generate appropriate animation prompts
+  const prompts = [];
+
+  // Portrait/figure detection
+  if (title.includes('portrait') || title.includes('head') || title.includes('bust') ||
+      title.includes('figure') || title.includes('man') || title.includes('woman') ||
+      title.includes('child') || department.includes('portrait')) {
+    prompts.push(
+      "the subject's eyes slowly blink and look around, subtle breathing movement, slight head turn",
+      "gentle eye movement, subtle smile forming, natural breathing animation",
+      "the figure comes to life with blinking eyes and subtle facial expressions"
+    );
+  }
+
+  // Landscape/nature detection
+  if (title.includes('landscape') || title.includes('garden') || title.includes('forest') ||
+      title.includes('river') || title.includes('lake') || title.includes('mountain') ||
+      title.includes('tree') || title.includes('flower')) {
+    prompts.push(
+      "wind gently moves through the trees, clouds drift slowly, water ripples",
+      "leaves rustle in the breeze, sunlight shifts through clouds, nature comes alive",
+      "gentle wind animation, flowing water, moving clouds, swaying plants"
+    );
+  }
+
+  // Animal detection
+  if (title.includes('horse') || title.includes('dog') || title.includes('cat') ||
+      title.includes('bird') || title.includes('lion') || title.includes('stork') ||
+      title.includes('animal') || department.includes('animal')) {
+    prompts.push(
+      "the animal breathes, blinks, and makes subtle natural movements",
+      "gentle breathing, tail or ear movement, the creature comes to life",
+      "realistic animal animation with breathing and natural movement"
+    );
+  }
+
+  // Water/maritime detection
+  if (title.includes('sea') || title.includes('ocean') || title.includes('ship') ||
+      title.includes('boat') || title.includes('water') || title.includes('wave')) {
+    prompts.push(
+      "waves gently roll, water sparkles, boats rock gently on the water",
+      "ocean waves in motion, reflections shimmer, maritime scene comes alive"
+    );
+  }
+
+  // Still life detection
+  if (title.includes('still life') || title.includes('vase') || title.includes('flower') ||
+      title.includes('fruit') || title.includes('table')) {
+    prompts.push(
+      "subtle lighting shifts, flower petals gently sway, dust motes float in light",
+      "candlelight flickers, shadows shift, delicate movement in the scene"
+    );
+  }
+
+  // Mask/sculpture detection
+  if (title.includes('mask') || title.includes('sculpture') || title.includes('statue') ||
+      title.includes('memorial') || title.includes('head')) {
+    prompts.push(
+      "the mask suddenly comes alive with glowing eyes and speaking mouth",
+      "mystical animation where the sculpture begins to breathe and look around",
+      "dramatic awakening - the figure opens its eyes and starts to speak"
+    );
+  }
+
+  // Default fallback
+  if (prompts.length === 0) {
+    prompts.push(
+      "subtle movement brings the artwork to life, gentle animation",
+      "cinematic camera movement, lighting shifts, scene comes alive",
+      "dramatic animation with natural movement and atmospheric effects"
+    );
+  }
+
+  // Return random prompt from generated options
+  return prompts[Math.floor(Math.random() * prompts.length)];
+}
+
+export async function createLumaAnimation(imagePath, metadata) {
+  try {
+    const REPLICATE_API_TOKEN = process.env.REPLICATE_API_TOKEN;
+
+    if (!REPLICATE_API_TOKEN) {
+      throw new Error('REPLICATE_API_TOKEN not configured');
+    }
+
+    console.log('Creating animation with Luma Dream Machine...');
+    console.log('This will make the artwork come ALIVE!');
+
+    const replicate = new Replicate({
+      auth: REPLICATE_API_TOKEN,
+    });
+
+    // Prepare image - Luma works well with various resolutions
+    const optimizedImagePath = path.join(path.dirname(imagePath), `luma_${path.basename(imagePath)}`);
+    await sharp(imagePath)
+      .resize(1280, 720, {
+        fit: 'inside',
+        withoutEnlargement: false
+      })
+      .jpeg({ quality: 95 })
+      .toFile(optimizedImagePath);
+
+    // Convert to base64 data URI
+    const imageBuffer = fs.readFileSync(optimizedImagePath);
+    const base64Image = imageBuffer.toString('base64');
+    const dataUri = `data:image/jpeg;base64,${base64Image}`;
+
+    // Generate creative animation prompt
+    const animationPrompt = generateAnimationPrompt(metadata);
+    console.log(`Animation prompt: "${animationPrompt}"`);
+
+    console.log('Sending to Luma Dream Machine...');
+    console.log('Please wait 60-120 seconds for dramatic animation...');
+
+    // Try Luma models on Replicate
+    let output;
+    try {
+      // Try luma-photon first (faster)
+      output = await Promise.race([
+        replicate.run(
+          "luma/photon",
+          {
+            input: {
+              prompt: animationPrompt,
+              image: dataUri,
+              aspect_ratio: "16:9"
+            }
+          }
+        ),
+        new Promise((_, reject) => setTimeout(() => reject(new Error('Luma timeout')), 180000))
+      ]);
+    } catch (e1) {
+      console.log('Luma Photon failed, trying Ray2...');
+      try {
+        output = await Promise.race([
+          replicate.run(
+            "luma/ray-2",
+            {
+              input: {
+                prompt: animationPrompt,
+                image: dataUri
+              }
+            }
+          ),
+          new Promise((_, reject) => setTimeout(() => reject(new Error('Ray2 timeout')), 180000))
+        ]);
+      } catch (e2) {
+        console.log('Ray2 failed, trying Dream Machine...');
+        output = await Promise.race([
+          replicate.run(
+            "luma/dream-machine",
+            {
+              input: {
+                prompt: animationPrompt,
+                image_url: dataUri
+              }
+            }
+          ),
+          new Promise((_, reject) => setTimeout(() => reject(new Error('Dream Machine timeout')), 180000))
+        ]);
+      }
+    }
+
+    console.log('Luma animation complete!');
+
+    if (!output) {
+      throw new Error('No video generated from Luma');
+    }
+
+    // Download the generated video
+    console.log('Downloading animated video...');
+    const videoUrl = typeof output === 'string' ? output : output.video || output;
+    const videoResponse = await axios.get(videoUrl, {
+      responseType: 'arraybuffer'
+    });
+
+    const outputDir = path.join(__dirname, '..', 'output');
+    const timestamp = Date.now();
+    const videoPath = path.join(outputDir, `luma_video_${timestamp}.mp4`);
+
+    fs.writeFileSync(videoPath, videoResponse.data);
+
+    // Convert to Twitter-compatible H.264 format
+    console.log('Converting to Twitter-compatible H.264 format...');
+    const h264VideoPath = videoPath.replace('.mp4', '_h264.mp4');
+    try {
+      execSync(`ffmpeg -y -i "${videoPath}" -c:v libx264 -preset fast -crf 23 -pix_fmt yuv420p -movflags +faststart -an "${h264VideoPath}"`, {
+        stdio: 'pipe',
+        timeout: 60000
+      });
+      // Replace original with converted
+      fs.unlinkSync(videoPath);
+      fs.renameSync(h264VideoPath, videoPath);
+      console.log('Video converted to H.264 successfully');
+    } catch (ffmpegError) {
+      console.log('FFmpeg conversion failed, using original:', ffmpegError.message);
+    }
+
+    // Clean up temp file
+    if (fs.existsSync(optimizedImagePath)) {
+      fs.unlinkSync(optimizedImagePath);
+    }
+
+    const stats = fs.statSync(videoPath);
+    console.log(`Luma video created: ${(stats.size / 1024 / 1024).toFixed(2)} MB`);
+
+    return {
+      originalImage: imagePath,
+      animatedVideo: videoPath,
+      artworkMetadata: metadata,
+      isAnimated: true,
+      animationType: 'luma-dream-machine',
+      animationPrompt: animationPrompt,
+      videoFormat: 'mp4'
+    };
+
+  } catch (error) {
+    console.error('Luma animation failed:', error.message);
+    return {
+      originalImage: imagePath,
+      isStatic: true,
+      artworkMetadata: metadata,
+      error: error.message
+    };
+  }
+}
+
+// Test if run directly
+if (process.argv[1] === fileURLToPath(import.meta.url)) {
+  const testImage = process.argv[2];
+  if (testImage) {
+    createLumaAnimation(testImage, { title: 'Test', artist: 'Test' })
+      .then(r => console.log('Result:', r))
+      .catch(e => console.error('Error:', e));
+  } else {
+    console.log('Usage: node animateWithLuma.js <image-path>');
+  }
+}
diff --git a/src/animateWithMorphing.js b/src/animateWithMorphing.js
new file mode 100644
index 0000000..437608f
--- /dev/null
+++ b/src/animateWithMorphing.js
@@ -0,0 +1,170 @@
+import Replicate from 'replicate';
+import axios from 'axios';
+import fs from 'fs';
+import path from 'path';
+import { fileURLToPath } from 'url';
+import sharp from 'sharp';
+import { execSync } from 'child_process';
+import dotenv from 'dotenv';
+
+dotenv.config();
+
+const __filename = fileURLToPath(import.meta.url);
+const __dirname = path.dirname(__filename);
+const OUTPUT_DIR = path.join(__dirname, '..', 'output');
+
+/**
+ * Generate creative morphing prompts based on artwork
+ */
+function getMorphingPrompt(metadata) {
+  const title = (metadata.title || '').toLowerCase();
+
+  const morphEffects = [
+    "A playful pitbull dog runs into frame, sniffs the artwork, then magically morphs into a fluffy cat that walks away",
+    "Butterflies emerge from the painting and transform into colorful birds flying away",
+    "The scene comes alive as a dog appears, chases its tail, then transforms into a sleeping cat",
+    "Flowers in the image bloom and morph into flying hummingbirds",
+    "A curious puppy enters, looks at viewer, then shapeshifts into a majestic lion",
+    "Water ripples form into fish that leap out and transform into dolphins",
+    "Clouds drift and morph into galloping horses running across the sky",
+    "A pitbull trots through the scene, stops, and metamorphoses into a cat stretching lazily",
+    "Elements swirl and transform - dogs become cats, birds become butterflies",
+    "Surreal transformation: everyday objects morph into animals that come alive"
+  ];
+
+  // Pick random morphing effect
+  const effect = morphEffects[Math.floor(Math.random() * morphEffects.length)];
+
+  return `Cinematic video of famous artwork "${metadata.title}". ${effect}. Dramatic lighting, smooth animation, 4K quality, dreamlike atmosphere.`;
+}
+
+/**
+ * Create morphing video using prompt-based models
+ */
+export async function createMorphingVideo(imagePath, metadata) {
+  console.log('Creating MORPHING video with cats & dogs...');
+
+  const replicate = new Replicate({ auth: process.env.REPLICATE_API_TOKEN });
+
+  // Prepare image
+  const optimizedPath = path.join(OUTPUT_DIR, `morph_opt_${Date.now()}.jpg`);
+  await sharp(imagePath)
+    .resize(1280, 720, { fit: 'cover', position: 'center' })
+    .jpeg({ quality: 95 })
+    .toFile(optimizedPath);
+
+  const imageBuffer = fs.readFileSync(optimizedPath);
+  const base64Image = imageBuffer.toString('base64');
+  const dataUri = `data:image/jpeg;base64,${base64Image}`;
+
+  const prompt = getMorphingPrompt(metadata);
+  console.log(`Prompt: "${prompt.substring(0, 100)}..."`);
+
+  let output;
+  let modelUsed;
+
+  // Try Minimax first (reliable for image-to-video with prompts)
+  try {
+    console.log('Trying Minimax video-01...');
+    output = await Promise.race([
+      replicate.run("minimax/video-01", {
+        input: {
+          prompt: prompt,
+          first_frame_image: dataUri
+        }
+      }),
+      new Promise((_, reject) => setTimeout(() => reject(new Error('Minimax timeout')), 300000))
+    ]);
+    modelUsed = 'minimax';
+  } catch (e) {
+    console.log('Minimax failed:', e.message);
+
+    // Try Luma Photon
+    try {
+      console.log('Trying Luma Photon...');
+      output = await Promise.race([
+        replicate.run("luma/photon", {
+          input: {
+            prompt: prompt,
+            image: dataUri,
+            aspect_ratio: "16:9"
+          }
+        }),
+        new Promise((_, reject) => setTimeout(() => reject(new Error('Luma timeout')), 300000))
+      ]);
+      modelUsed = 'luma-photon';
+    } catch (e2) {
+      console.log('Luma failed:', e2.message);
+
+      // Final fallback to SVD with max motion
+      try {
+        console.log('Fallback to SVD max motion...');
+        output = await Promise.race([
+          replicate.run("stability-ai/stable-video-diffusion:3f0457e4619daac51203dedb472816fd4af51f3149fa7a9e0b5ffcf1b8172438", {
+            input: {
+              input_image: dataUri,
+              video_length: "25_frames_with_svd_xt",
+              frames_per_second: 8,
+              motion_bucket_id: 255,
+              cond_aug: 0.1,
+              seed: Math.floor(Math.random() * 1000000)
+            }
+          }),
+          new Promise((_, reject) => setTimeout(() => reject(new Error('SVD timeout')), 200000))
+        ]);
+        modelUsed = 'svd-max';
+      } catch (e3) {
+        console.log('All models failed');
+        fs.unlinkSync(optimizedPath);
+        throw new Error('No animation model available');
+      }
+    }
+  }
+
+  console.log(`Video generated with ${modelUsed}!`);
+
+  // Get video URL from output
+  let videoUrl;
+  if (typeof output === 'string') {
+    videoUrl = output;
+  } else if (output?.video) {
+    videoUrl = output.video;
+  } else if (Array.isArray(output)) {
+    videoUrl = output[0];
+  } else {
+    videoUrl = output;
+  }
+
+  // Download video
+  const videoResponse = await axios.get(videoUrl, { responseType: 'arraybuffer' });
+  const timestamp = Date.now();
+  const videoPath = path.join(OUTPUT_DIR, `morphing_${timestamp}.mp4`);
+  fs.writeFileSync(videoPath, videoResponse.data);
+
+  // Convert to H.264 for Twitter
+  const h264Path = videoPath.replace('.mp4', '_h264.mp4');
+  execSync(`ffmpeg -y -i "${videoPath}" -c:v libx264 -preset fast -crf 23 -pix_fmt yuv420p -movflags +faststart -an "${h264Path}"`, { stdio: 'pipe' });
+  fs.unlinkSync(videoPath);
+  fs.renameSync(h264Path, videoPath);
+
+  // Cleanup
+  fs.unlinkSync(optimizedPath);
+
+  const stats = fs.statSync(videoPath);
+  console.log(`Morphing video created: ${(stats.size / 1024 / 1024).toFixed(2)} MB`);
+
+  return {
+    videoPath,
+    modelUsed,
+    prompt,
+    motionSettings: { model: modelUsed, prompt }
+  };
+}
+
+// Test if run directly
+if (process.argv[1] === fileURLToPath(import.meta.url)) {
+  const testImage = process.argv[2] || './output/great_wave_source.jpg';
+  createMorphingVideo(testImage, { title: 'The Great Wave', artist: 'Hokusai' })
+    .then(r => console.log('Result:', r))
+    .catch(e => console.error('Error:', e));
+}
diff --git a/src/animateWithReplicate.js b/src/animateWithReplicate.js
new file mode 100644
index 0000000..2dfc2a1
--- /dev/null
+++ b/src/animateWithReplicate.js
@@ -0,0 +1,133 @@
+import Replicate from 'replicate';
+import axios from 'axios';
+import fs from 'fs';
+import path from 'path';
+import { fileURLToPath } from 'url';
+import dotenv from 'dotenv';
+import sharp from 'sharp';
+
+dotenv.config();
+
+const __filename = fileURLToPath(import.meta.url);
+const __dirname = path.dirname(__filename);
+
+export async function createRealAIVideo(imagePath, metadata) {
+  try {
+    const REPLICATE_API_TOKEN = process.env.REPLICATE_API_TOKEN;
+
+    if (!REPLICATE_API_TOKEN) {
+      throw new Error('REPLICATE_API_TOKEN not configured - get it from https://replicate.com/account/api-tokens');
+    }
+
+    console.log('Creating REAL AI video with Stable Video Diffusion...');
+
+    const replicate = new Replicate({
+      auth: REPLICATE_API_TOKEN,
+    });
+
+    // Prepare the image - SVD works best with 1024x576 resolution
+    const optimizedImagePath = path.join(path.dirname(imagePath), `optimized_${path.basename(imagePath)}`);
+    await sharp(imagePath)
+      .resize(1024, 576, {
+        fit: 'cover',
+        position: 'center'
+      })
+      .jpeg({ quality: 95 })
+      .toFile(optimizedImagePath);
+
+    // Convert image to base64 data URI
+    const imageBuffer = fs.readFileSync(optimizedImagePath);
+    const base64Image = imageBuffer.toString('base64');
+    const dataUri = `data:image/jpeg;base64,${base64Image}`;
+
+    console.log('Sending to Stable Video Diffusion...');
+    console.log('Cost estimate: ~$0.02 per video');
+
+    // Run Stable Video Diffusion - allow up to 3 minutes
+    console.log('Please wait 60-180 seconds for AI video generation...');
+    console.log('Creating SURREAL METAMORPHOSIS - objects transform, morph, come alive!');
+
+    const output = await Promise.race([
+      replicate.run(
+        "stability-ai/stable-video-diffusion:3f0457e4619daac51203dedb472816fd4af51f3149fa7a9e0b5ffcf1b8172438",
+        {
+          input: {
+            input_image: dataUri,
+            video_length: "25_frames_with_svd_xt",
+            sizing_strategy: "maintain_aspect_ratio",
+            frames_per_second: 8,  // Slightly slower for dramatic effect
+            motion_bucket_id: 255,  // MAXIMUM motion for dramatic metamorphosis
+            cond_aug: 0.1,  // Higher variation for surreal transformations
+            decoding_t: 14,
+            seed: Math.floor(Math.random() * 1000000)
+          }
+        }
+      ),
+      new Promise((_, reject) => setTimeout(() => reject(new Error('Replicate timeout after 180s')), 180000))
+    ]);
+
+    console.log('Video generation complete!');
+
+    if (!output) {
+      throw new Error('No video generated');
+    }
+
+    // Download the generated video
+    console.log('Downloading animated video...');
+    const videoUrl = output;
+    const videoResponse = await axios.get(videoUrl, {
+      responseType: 'arraybuffer'
+    });
+
+    const outputDir = path.join(__dirname, '..', 'output');
+    const timestamp = new Date().getTime();
+    const videoPath = path.join(outputDir, `ai_video_${timestamp}.mp4`);
+
+    fs.writeFileSync(videoPath, videoResponse.data);
+
+    // Clean up optimized image
+    if (fs.existsSync(optimizedImagePath)) {
+      fs.unlinkSync(optimizedImagePath);
+    }
+
+    const stats = fs.statSync(videoPath);
+    console.log(`AI video created: ${(stats.size / 1024 / 1024).toFixed(2)} MB`);
+
+    // Check if we need to convert to GIF for Twitter
+    // Twitter supports MP4 but has size limits
+    if (stats.size > 15 * 1024 * 1024) {
+      console.log('Video too large for Twitter, converting to optimized version...');
+
+      // For now, return the video as is
+      // In production, you'd use ffmpeg to compress it
+    }
+
+    return {
+      originalImage: imagePath,
+      animatedVideo: videoPath,
+      artworkMetadata: metadata,
+      isAnimated: true,
+      animationType: 'stable-video-diffusion',
+      videoFormat: 'mp4'
+    };
+
+  } catch (error) {
+    console.error('Error creating AI video:', error.message);
+
+    if (error.message.includes('REPLICATE_API_TOKEN')) {
+      console.error('\n⚠️  To use real AI video animation:');
+      console.error('1. Go to https://replicate.com');
+      console.error('2. Sign up for free account');
+      console.error('3. Get API token from https://replicate.com/account/api-tokens');
+      console.error('4. Add to .env: REPLICATE_API_TOKEN=your_token_here');
+      console.error('5. Cost: ~$0.02 per video\n');
+    }
+
+    return {
+      originalImage: imagePath,
+      isStatic: true,
+      artworkMetadata: metadata,
+      error: error.message
+    };
+  }
+}
\ No newline at end of file
diff --git a/src/animateWithReplicateAlt.js b/src/animateWithReplicateAlt.js
new file mode 100644
index 0000000..a2e4772
--- /dev/null
+++ b/src/animateWithReplicateAlt.js
@@ -0,0 +1,142 @@
+import Replicate from 'replicate';
+import axios from 'axios';
+import fs from 'fs';
+import path from 'path';
+import { fileURLToPath } from 'url';
+import dotenv from 'dotenv';
+import sharp from 'sharp';
+
+dotenv.config();
+
+const __filename = fileURLToPath(import.meta.url);
+const __dirname = path.dirname(__filename);
+
+export async function createRealAnimation(imagePath, metadata) {
+  try {
+    const REPLICATE_API_TOKEN = process.env.REPLICATE_API_TOKEN;
+
+    if (!REPLICATE_API_TOKEN) {
+      throw new Error('REPLICATE_API_TOKEN not configured');
+    }
+
+    console.log('Creating REAL animation with AI...');
+
+    const replicate = new Replicate({
+      auth: REPLICATE_API_TOKEN,
+    });
+
+    // Convert image to base64
+    const imageBuffer = fs.readFileSync(imagePath);
+    const base64Image = imageBuffer.toString('base64');
+    const dataUri = `data:image/jpeg;base64,${base64Image}`;
+
+    // Try different animation models
+    console.log('Attempting AnimateDiff for artistic animation...');
+
+    try {
+      // AnimateDiff - better for artistic animation
+      const output = await replicate.run(
+        "lucataco/animate-diff:1531004ee4c98894ab11f8a4ce6206099e732c1da15121987a8eef54828f0663",
+        {
+          input: {
+            path: dataUri,
+            prompt: `animate ${metadata.title}, make the elements move naturally, flowers swaying, leaves rustling, light changing, everything should move and come alive, not camera movement but actual animation of objects`,
+            negative_prompt: "panning, zooming, camera movement, static",
+            num_frames: 16,
+            num_inference_steps: 25,
+            guidance_scale: 7.5,
+            seed: Math.floor(Math.random() * 1000000)
+          }
+        }
+      );
+
+      if (output) {
+        console.log('AnimateDiff animation created!');
+        return await downloadVideo(output, metadata);
+      }
+    } catch (e) {
+      console.log('AnimateDiff not available, trying alternative...');
+    }
+
+    // Try I2VGen-XL for image to video
+    try {
+      const output = await replicate.run(
+        "ali-vilab/i2vgen-xl:5821a338d00033abaaba89080a17eb8783d9a17ed710a6b4246a18e0900ccad4",
+        {
+          input: {
+            image: dataUri,
+            prompt: `Make the ${metadata.title} painting come alive with natural movement. Animate the flowers, make petals move, leaves sway, create life and motion in the scene. No camera movement.`,
+            max_frames: 16,
+            guidance_scale: 9,
+            seed: Math.floor(Math.random() * 1000000)
+          }
+        }
+      );
+
+      if (output) {
+        console.log('I2VGen-XL animation created!');
+        return await downloadVideo(output, metadata);
+      }
+    } catch (e) {
+      console.log('I2VGen-XL not available, trying next...');
+    }
+
+    // Last resort - try SVD with different prompt
+    console.log('Using modified Stable Video Diffusion...');
+
+    const output = await replicate.run(
+      "stability-ai/stable-video-diffusion:3f0457e4619daac51203dedb472816fd4af51f3149fa7a9e0b5ffcf1b8172438",
+      {
+        input: {
+          input_image: dataUri,
+          video_length: "25_frames_with_svd_xt",
+          sizing_strategy: "crop_to_16_9",  // Try different strategy
+          frames_per_second: 6,
+          motion_bucket_id: 200,  // High but not max
+          cond_aug: 0.3,
+          decoding_t: 14,
+          seed: Math.floor(Math.random() * 1000000)
+        }
+      }
+    );
+
+    if (output) {
+      return await downloadVideo(output, metadata);
+    }
+
+    throw new Error('No animation model succeeded');
+
+  } catch (error) {
+    console.error('Error creating animation:', error.message);
+    return {
+      originalImage: imagePath,
+      isStatic: true,
+      artworkMetadata: metadata,
+      error: error.message
+    };
+  }
+}
+
+async function downloadVideo(videoUrl, metadata) {
+  console.log('Downloading animated video...');
+  const videoResponse = await axios.get(videoUrl, {
+    responseType: 'arraybuffer'
+  });
+
+  const outputDir = path.join(__dirname, '..', 'output');
+  const timestamp = new Date().getTime();
+  const videoPath = path.join(outputDir, `ai_animated_${timestamp}.mp4`);
+
+  fs.writeFileSync(videoPath, videoResponse.data);
+
+  const stats = fs.statSync(videoPath);
+  console.log(`AI video created: ${(stats.size / 1024 / 1024).toFixed(2)} MB`);
+
+  return {
+    animatedVideo: videoPath,
+    artworkMetadata: metadata,
+    isAnimated: true,
+    animationType: 'ai-animation',
+    videoFormat: 'mp4'
+  };
+}
\ No newline at end of file
diff --git a/src/animateWithRunway.js b/src/animateWithRunway.js
new file mode 100644
index 0000000..615856f
--- /dev/null
+++ b/src/animateWithRunway.js
@@ -0,0 +1,113 @@
+import RunwayML from '@runwayml/sdk';
+import axios from 'axios';
+import fs from 'fs';
+import path from 'path';
+import { fileURLToPath } from 'url';
+import dotenv from 'dotenv';
+
+dotenv.config();
+
+const __filename = fileURLToPath(import.meta.url);
+const __dirname = path.dirname(__filename);
+
+export async function createRunwayAnimation(imagePath, metadata) {
+  try {
+    const RUNWAY_API_TOKEN = process.env.RUNWAY_API_TOKEN;
+
+    if (!RUNWAY_API_TOKEN) {
+      throw new Error('RUNWAY_API_TOKEN not configured - get it from https://app.runwayml.com/settings/apikeys');
+    }
+
+    console.log('Creating REAL object animation with RunwayML Gen-2...');
+
+    const client = new RunwayML({
+      apiKey: RUNWAY_API_TOKEN,
+    });
+
+    // Read and prepare the image
+    const imageBuffer = fs.readFileSync(imagePath);
+    const base64Image = imageBuffer.toString('base64');
+
+    // Create animation prompt based on the painting
+    let animationPrompt = '';
+
+    if (metadata.title.toLowerCase().includes('sunflower')) {
+      animationPrompt = 'Make the sunflowers gently sway in a breeze, petals moving individually, stems bending slightly, natural flower movement';
+    } else if (metadata.title.toLowerCase().includes('water') || metadata.title.toLowerCase().includes('wave')) {
+      animationPrompt = 'Animate the water with realistic waves, ripples, and flow. Make the water move naturally';
+    } else if (metadata.title.toLowerCase().includes('night')) {
+      animationPrompt = 'Add twinkling stars, moving clouds, flickering lights, create a living night scene';
+    } else {
+      animationPrompt = `Bring the painting "${metadata.title}" to life. Make elements move naturally - fabric swaying, leaves rustling, light shifting, everything should have subtle natural movement. No camera panning or zooming.`;
+    }
+
+    console.log('Animation prompt:', animationPrompt);
+
+    // Create the generation task
+    const task = await client.imageToVideo.create({
+      model: 'gen-3-turbo',  // Or 'gen-2' for older model
+      image: `data:image/jpeg;base64,${base64Image}`,
+      prompt: animationPrompt,
+      duration: 4,  // 4 seconds
+      aspectRatio: '16:9'
+    });
+
+    console.log('Generation started, task ID:', task.id);
+    console.log('Waiting for video generation (this takes 1-2 minutes)...');
+
+    // Poll for completion
+    let result = await task.poll({
+      interval: 5000,  // Check every 5 seconds
+      timeout: 180000  // 3 minute timeout
+    });
+
+    if (result.status === 'succeeded' && result.output) {
+      console.log('Video generation complete!');
+
+      // Download the video
+      const videoResponse = await axios.get(result.output, {
+        responseType: 'arraybuffer'
+      });
+
+      const outputDir = path.join(__dirname, '..', 'output');
+      const timestamp = new Date().getTime();
+      const videoPath = path.join(outputDir, `runway_animated_${timestamp}.mp4`);
+
+      fs.writeFileSync(videoPath, videoResponse.data);
+
+      const stats = fs.statSync(videoPath);
+      console.log(`RunwayML video created: ${(stats.size / 1024 / 1024).toFixed(2)} MB`);
+
+      return {
+        originalImage: imagePath,
+        animatedVideo: videoPath,
+        artworkMetadata: metadata,
+        isAnimated: true,
+        animationType: 'runway-gen2',
+        videoFormat: 'mp4'
+      };
+    } else {
+      throw new Error('Video generation failed: ' + result.status);
+    }
+
+  } catch (error) {
+    console.error('Error creating RunwayML animation:', error.message);
+
+    if (error.message.includes('RUNWAY_API_TOKEN')) {
+      console.error('\n⚠️  To use RunwayML Gen-2:');
+      console.error('1. Go to https://app.runwayml.com');
+      console.error('2. Sign up (they have free credits to start)');
+      console.error('3. Go to Settings > API Keys');
+      console.error('4. Create an API key');
+      console.error('5. Add to .env: RUNWAY_API_TOKEN=your_token_here');
+      console.error('6. Cost: ~$0.05 per 4-second video\n');
+    }
+
+    return {
+      originalImage: imagePath,
+      isStatic: true,
+      artworkMetadata: metadata,
+      error: error.message
+    };
+  }
+}
\ No newline at end of file
diff --git a/src/artworks.js b/src/artworks.js
new file mode 100644
index 0000000..d4bc137
--- /dev/null
+++ b/src/artworks.js
@@ -0,0 +1,55 @@
+// 50 Famous Public Domain Paintings
+export const FAMOUS_PAINTINGS = [
+  { title: "The Great Wave off Kanagawa", artist: "Katsushika Hokusai", year: "1831", museum: "Public Domain", imageUrl: "https://images.metmuseum.org/CRDImages/as/original/DP141063.jpg" },
+  { title: "Starry Night", artist: "Vincent van Gogh", year: "1889", museum: "MoMA", imageUrl: "https://upload.wikimedia.org/wikipedia/commons/thumb/e/ea/Van_Gogh_-_Starry_Night_-_Google_Art_Project.jpg/1280px-Van_Gogh_-_Starry_Night_-_Google_Art_Project.jpg" },
+  { title: "Mona Lisa", artist: "Leonardo da Vinci", year: "1503", museum: "Louvre", imageUrl: "https://upload.wikimedia.org/wikipedia/commons/thumb/e/ec/Mona_Lisa%2C_by_Leonardo_da_Vinci%2C_from_C2RMF_retouched.jpg/800px-Mona_Lisa%2C_by_Leonardo_da_Vinci%2C_from_C2RMF_retouched.jpg" },
+  { title: "The Scream", artist: "Edvard Munch", year: "1893", museum: "National Gallery Norway", imageUrl: "https://upload.wikimedia.org/wikipedia/commons/c/c5/Edvard_Munch%2C_1893%2C_The_Scream%2C_oil%2C_tempera_and_pastel_on_cardboard%2C_91_x_73_cm%2C_National_Gallery_of_Norway.jpg" },
+  { title: "Girl with a Pearl Earring", artist: "Johannes Vermeer", year: "1665", museum: "Mauritshuis", imageUrl: "https://upload.wikimedia.org/wikipedia/commons/0/0f/1665_Girl_with_a_Pearl_Earring.jpg" },
+  { title: "The Birth of Venus", artist: "Sandro Botticelli", year: "1485", museum: "Uffizi Gallery", imageUrl: "https://upload.wikimedia.org/wikipedia/commons/0/0b/Sandro_Botticelli_-_La_nascita_di_Venere_-_Google_Art_Project_-_edited.jpg" },
+  { title: "The Night Watch", artist: "Rembrandt", year: "1642", museum: "Rijksmuseum", imageUrl: "https://upload.wikimedia.org/wikipedia/commons/5/5a/The_Night_Watch_-_HD.jpg" },
+  { title: "The Kiss", artist: "Gustav Klimt", year: "1908", museum: "Belvedere", imageUrl: "https://upload.wikimedia.org/wikipedia/commons/4/4d/Klimt_-_Der_Kuss.jpeg" },
+  { title: "American Gothic", artist: "Grant Wood", year: "1930", museum: "Art Institute Chicago", imageUrl: "https://upload.wikimedia.org/wikipedia/commons/c/cc/Grant_Wood_-_American_Gothic_-_Google_Art_Project.jpg" },
+  { title: "Water Lilies", artist: "Claude Monet", year: "1906", museum: "Art Institute Chicago", imageUrl: "https://upload.wikimedia.org/wikipedia/commons/a/aa/Claude_Monet_-_Water_Lilies_-_1906%2C_Ryerson.jpg" },
+  { title: "The Persistence of Memory", artist: "Salvador Dalí", year: "1931", museum: "MoMA", imageUrl: "https://upload.wikimedia.org/wikipedia/en/d/dd/The_Persistence_of_Memory.jpg" },
+  { title: "A Sunday on La Grande Jatte", artist: "Georges Seurat", year: "1886", museum: "Art Institute Chicago", imageUrl: "https://upload.wikimedia.org/wikipedia/commons/7/7d/A_Sunday_on_La_Grande_Jatte%2C_Georges_Seurat%2C_1884.jpg" },
+  { title: "The Last Supper", artist: "Leonardo da Vinci", year: "1498", museum: "Santa Maria delle Grazie", imageUrl: "https://upload.wikimedia.org/wikipedia/commons/4/4b/%C3%9Altima_Cena_-_Da_Vinci_5.jpg" },
+  { title: "Creation of Adam", artist: "Michelangelo", year: "1512", museum: "Sistine Chapel", imageUrl: "https://upload.wikimedia.org/wikipedia/commons/5/5b/Michelangelo_-_Creation_of_Adam_%28cropped%29.jpg" },
+  { title: "The Garden of Earthly Delights", artist: "Hieronymus Bosch", year: "1510", museum: "Museo del Prado", imageUrl: "https://upload.wikimedia.org/wikipedia/commons/9/96/The_Garden_of_earthly_delights.jpg" },
+  { title: "Whistler's Mother", artist: "James Whistler", year: "1871", museum: "Musée d'Orsay", imageUrl: "https://upload.wikimedia.org/wikipedia/commons/1/1b/Whistlers_Mother_high_res.jpg" },
+  { title: "The Arnolfini Portrait", artist: "Jan van Eyck", year: "1434", museum: "National Gallery London", imageUrl: "https://upload.wikimedia.org/wikipedia/commons/3/33/Van_Eyck_-_Arnolfini_Portrait.jpg" },
+  { title: "Liberty Leading the People", artist: "Eugène Delacroix", year: "1830", museum: "Louvre", imageUrl: "https://upload.wikimedia.org/wikipedia/commons/5/5d/Eug%C3%A8ne_Delacroix_-_Le_28_Juillet._La_Libert%C3%A9_guidant_le_peuple.jpg" },
+  { title: "The Wanderer Above the Sea of Fog", artist: "Caspar David Friedrich", year: "1818", museum: "Hamburger Kunsthalle", imageUrl: "https://upload.wikimedia.org/wikipedia/commons/b/b9/Caspar_David_Friedrich_-_Wanderer_above_the_sea_of_fog.jpg" },
+  { title: "Napoleon Crossing the Alps", artist: "Jacques-Louis David", year: "1801", museum: "Château de Malmaison", imageUrl: "https://upload.wikimedia.org/wikipedia/commons/f/fd/David_-_Napoleon_crossing_the_Alps_-_Malmaison2.jpg" },
+  { title: "Nighthawks", artist: "Edward Hopper", year: "1942", museum: "Art Institute Chicago", imageUrl: "https://upload.wikimedia.org/wikipedia/commons/a/a8/Nighthawks_by_Edward_Hopper_1942.jpg" },
+  { title: "The Starry Night Over the Rhône", artist: "Vincent van Gogh", year: "1888", museum: "Musée d'Orsay", imageUrl: "https://upload.wikimedia.org/wikipedia/commons/9/94/Starry_Night_Over_the_Rhone.jpg" },
+  { title: "Café Terrace at Night", artist: "Vincent van Gogh", year: "1888", museum: "Kröller-Müller Museum", imageUrl: "https://upload.wikimedia.org/wikipedia/commons/0/09/Van_Gogh_-_Terrasse_des_Caf%C3%A9s_an_der_Place_du_Forum_in_Arles_am_Abend1.jpeg" },
+  { title: "Sunflowers", artist: "Vincent van Gogh", year: "1888", museum: "National Gallery London", imageUrl: "https://upload.wikimedia.org/wikipedia/commons/4/46/Vincent_Willem_van_Gogh_127.jpg" },
+  { title: "The Son of Man", artist: "René Magritte", year: "1964", museum: "Private Collection", imageUrl: "https://upload.wikimedia.org/wikipedia/en/e/ec/Magritte_TheSonOfMan.jpg" },
+  { title: "Girl Before a Mirror", artist: "Pablo Picasso", year: "1932", museum: "MoMA", imageUrl: "https://upload.wikimedia.org/wikipedia/en/0/04/Girl_before_a_Mirror.jpg" },
+  { title: "Guernica", artist: "Pablo Picasso", year: "1937", museum: "Museo Reina Sofía", imageUrl: "https://upload.wikimedia.org/wikipedia/en/7/74/Guernica.jpg" },
+  { title: "The Sleeping Gypsy", artist: "Henri Rousseau", year: "1897", museum: "MoMA", imageUrl: "https://upload.wikimedia.org/wikipedia/commons/7/7e/Henri_Rousseau_-_La_Boh%C3%A9mienne_endormie.jpg" },
+  { title: "The Swing", artist: "Jean-Honoré Fragonard", year: "1767", museum: "Wallace Collection", imageUrl: "https://upload.wikimedia.org/wikipedia/commons/e/eb/Fragonard%2C_The_Swing.jpg" },
+  { title: "Ophelia", artist: "John Everett Millais", year: "1852", museum: "Tate Britain", imageUrl: "https://upload.wikimedia.org/wikipedia/commons/9/94/John_Everett_Millais_-_Ophelia_-_Google_Art_Project.jpg" },
+  { title: "The Raft of the Medusa", artist: "Théodore Géricault", year: "1819", museum: "Louvre", imageUrl: "https://upload.wikimedia.org/wikipedia/commons/1/15/JEAN_LOUIS_TH%C3%89ODORE_G%C3%89RICAULT_-_La_Balsa_de_la_Medusa_%28Museo_del_Louvre%2C_1818-19%29.jpg" },
+  { title: "The School of Athens", artist: "Raphael", year: "1511", museum: "Vatican Museums", imageUrl: "https://upload.wikimedia.org/wikipedia/commons/4/49/%22The_School_of_Athens%22_by_Raffaello_Sanzio_da_Urbino.jpg" },
+  { title: "Saturn Devouring His Son", artist: "Francisco Goya", year: "1823", museum: "Museo del Prado", imageUrl: "https://upload.wikimedia.org/wikipedia/commons/8/82/Francisco_de_Goya%2C_Saturno_devorando_a_su_hijo_%281819-1823%29.jpg" },
+  { title: "The Third of May 1808", artist: "Francisco Goya", year: "1814", museum: "Museo del Prado", imageUrl: "https://upload.wikimedia.org/wikipedia/commons/f/fd/El_Tres_de_Mayo%2C_by_Francisco_de_Goya%2C_from_Prado_thin_black_margin.jpg" },
+  { title: "Impression, Sunrise", artist: "Claude Monet", year: "1872", museum: "Musée Marmottan Monet", imageUrl: "https://upload.wikimedia.org/wikipedia/commons/5/59/Monet_-_Impression%2C_Sunrise.jpg" },
+  { title: "The Ballet Class", artist: "Edgar Degas", year: "1874", museum: "Musée d'Orsay", imageUrl: "https://upload.wikimedia.org/wikipedia/commons/6/6e/Edgar_Degas_-_The_Ballet_Class_-_Google_Art_Project.jpg" },
+  { title: "A Bar at the Folies-Bergère", artist: "Édouard Manet", year: "1882", museum: "Courtauld Gallery", imageUrl: "https://upload.wikimedia.org/wikipedia/commons/0/0d/Edouard_Manet%2C_A_Bar_at_the_Folies-Berg%C3%A8re.jpg" },
+  { title: "Luncheon on the Grass", artist: "Édouard Manet", year: "1863", museum: "Musée d'Orsay", imageUrl: "https://upload.wikimedia.org/wikipedia/commons/9/90/Edouard_Manet_-_Luncheon_on_the_Grass_-_Google_Art_Project.jpg" },
+  { title: "The Birth of Venus", artist: "William-Adolphe Bouguereau", year: "1879", museum: "Musée d'Orsay", imageUrl: "https://upload.wikimedia.org/wikipedia/commons/2/2a/William-Adolphe_Bouguereau_%281825-1905%29_-_The_Birth_of_Venus_%281879%29.jpg" },
+  { title: "The Hay Wain", artist: "John Constable", year: "1821", museum: "National Gallery London", imageUrl: "https://upload.wikimedia.org/wikipedia/commons/d/d9/John_Constable_The_Hay_Wain.jpg" },
+  { title: "The Fighting Temeraire", artist: "J.M.W. Turner", year: "1839", museum: "National Gallery London", imageUrl: "https://upload.wikimedia.org/wikipedia/commons/3/30/The_Fighting_Temeraire%2C_JMW_Turner%2C_National_Gallery.jpg" },
+  { title: "Rain, Steam and Speed", artist: "J.M.W. Turner", year: "1844", museum: "National Gallery London", imageUrl: "https://upload.wikimedia.org/wikipedia/commons/a/a8/Turner_-_Rain%2C_Steam_and_Speed_-_National_Gallery_file.jpg" },
+  { title: "Las Meninas", artist: "Diego Velázquez", year: "1656", museum: "Museo del Prado", imageUrl: "https://upload.wikimedia.org/wikipedia/commons/3/31/Las_Meninas%2C_by_Diego_Vel%C3%A1zquez%2C_from_Prado_in_Google_Earth.jpg" },
+  { title: "The Milkmaid", artist: "Johannes Vermeer", year: "1658", museum: "Rijksmuseum", imageUrl: "https://upload.wikimedia.org/wikipedia/commons/2/20/Johannes_Vermeer_-_Het_melkmeisje_-_Google_Art_Project.jpg" },
+  { title: "The Art of Painting", artist: "Johannes Vermeer", year: "1668", museum: "Kunsthistorisches Museum", imageUrl: "https://upload.wikimedia.org/wikipedia/commons/a/a1/Jan_Vermeer_-_The_Art_of_Painting_-_Google_Art_Project.jpg" },
+  { title: "Self-Portrait with Bandaged Ear", artist: "Vincent van Gogh", year: "1889", museum: "Courtauld Gallery", imageUrl: "https://upload.wikimedia.org/wikipedia/commons/a/a4/Vincent_van_Gogh_-_Self-Portrait_with_Bandaged_Ear.jpg" },
+  { title: "Judith Slaying Holofernes", artist: "Artemisia Gentileschi", year: "1620", museum: "Uffizi Gallery", imageUrl: "https://upload.wikimedia.org/wikipedia/commons/4/4e/Artemisia_Gentileschi_-_Judith_Beheading_Holofernes_-_WGA8563.jpg" },
+  { title: "The Tower of Babel", artist: "Pieter Bruegel", year: "1563", museum: "Kunsthistorisches Museum", imageUrl: "https://upload.wikimedia.org/wikipedia/commons/f/fc/Pieter_Bruegel_the_Elder_-_The_Tower_of_Babel_%28Vienna%29_-_Google_Art_Project_-_edited.jpg" },
+  { title: "The Blue Boy", artist: "Thomas Gainsborough", year: "1770", museum: "Huntington Library", imageUrl: "https://upload.wikimedia.org/wikipedia/commons/e/e9/The_Blue_Boy_%28Gainsborough%29.jpg" },
+  { title: "Washington Crossing the Delaware", artist: "Emanuel Leutze", year: "1851", museum: "Met Museum", imageUrl: "https://upload.wikimedia.org/wikipedia/commons/9/95/Washington_Crossing_the_Delaware_by_Emanuel_Leutze%2C_MMA-NYC%2C_1851.jpg" }
+];
+
+export default FAMOUS_PAINTINGS;
diff --git a/src/contentGenerator.js b/src/contentGenerator.js
new file mode 100644
index 0000000..035acc0
--- /dev/null
+++ b/src/contentGenerator.js
@@ -0,0 +1,125 @@
+import axios from 'axios';
+import fs from 'fs';
+import path from 'path';
+import { fileURLToPath } from 'url';
+import dotenv from 'dotenv';
+import { execSync } from 'child_process';
+import { addBrandingToVideo } from './addBranding.js';
+import { addScheduledPost, initDatabase } from './database.js';
+import { createMorphingVideo } from './animateWithMorphing.js';
+import { FAMOUS_PAINTINGS } from './artworks.js';
+
+dotenv.config();
+
+const __filename = fileURLToPath(import.meta.url);
+const __dirname = path.dirname(__filename);
+const OUTPUT_DIR = path.join(__dirname, '..', 'output');
+const THUMBNAILS_DIR = path.join(__dirname, '..', 'output', 'thumbnails');
+
+// Ensure directories exist
+if (!fs.existsSync(OUTPUT_DIR)) fs.mkdirSync(OUTPUT_DIR, { recursive: true });
+if (!fs.existsSync(THUMBNAILS_DIR)) fs.mkdirSync(THUMBNAILS_DIR, { recursive: true });
+
+// Use 50 famous paintings from artworks.js
+const ARTWORKS = FAMOUS_PAINTINGS;
+
+/**
+ * Download image from URL
+ */
+async function downloadImage(url, filename) {
+  const imagePath = path.join(OUTPUT_DIR, filename);
+
+  const response = await axios.get(url, {
+    responseType: 'arraybuffer',
+    headers: { 'User-Agent': 'Mozilla/5.0 (compatible; ArtBot/1.0)' }
+  });
+  fs.writeFileSync(imagePath, response.data);
+  return imagePath;
+}
+
+/**
+ * Create morphing video using prompt-based models (cats/dogs transform)
+ */
+async function createAnimatedVideo(imagePath, artwork) {
+  console.log(`Creating MORPHING video for: ${artwork.title}`);
+
+  const startTime = Date.now();
+  const result = await createMorphingVideo(imagePath, artwork);
+  console.log(`  Generated in ${((Date.now() - startTime) / 1000).toFixed(1)}s with ${result.modelUsed}`);
+
+  const videoPath = result.videoPath;
+  const timestamp = Date.now();
+
+  // Add branding (1s intro + 1s outro)
+  console.log('  Adding GoodQuestion.AI branding...');
+  await addBrandingToVideo(videoPath, { title: artwork.title, artist: artwork.artist });
+
+  // Create thumbnail
+  const thumbnailPath = path.join(THUMBNAILS_DIR, `thumb_${timestamp}.jpg`);
+  execSync(`ffmpeg -y -i "${videoPath}" -ss 00:00:01 -vframes 1 "${thumbnailPath}"`, { stdio: 'pipe' });
+
+  return { videoPath, thumbnailPath, motionSettings: result.motionSettings };
+}
+
+/**
+ * Generate content for the next N hours
+ * Posts every 20 minutes
+ */
+export async function generateScheduledContent(hoursAhead = 12) {
+  await initDatabase();
+
+  const postsPerHour = 3;  // Every 20 minutes
+  const totalPosts = hoursAhead * postsPerHour;
+
+  console.log(`\nGenerating ${totalPosts} posts for the next ${hoursAhead} hours...\n`);
+
+  let artworkIndex = 0;
+  const now = new Date();
+
+  for (let i = 0; i < totalPosts; i++) {
+    const artwork = ARTWORKS[artworkIndex % ARTWORKS.length];
+    artworkIndex++;
+
+    // Calculate scheduled time (every 20 minutes)
+    const scheduledTime = new Date(now.getTime() + (i * 20 * 60 * 1000));
+
+    console.log(`\n[${i + 1}/${totalPosts}] ${artwork.title}`);
+    console.log(`  Scheduled for: ${scheduledTime.toISOString()}`);
+
+    try {
+      // Download image
+      const imagePath = await downloadImage(
+        artwork.imageUrl,
+        `source_${artwork.title.replace(/\s+/g, '_').toLowerCase()}.jpg`
+      );
+
+      // Create video
+      const { videoPath, thumbnailPath, motionSettings } = await createAnimatedVideo(imagePath, artwork);
+
+      // Store in database
+      const postId = await addScheduledPost({
+        title: artwork.title,
+        artist: artwork.artist,
+        year: artwork.year,
+        museum: artwork.museum,
+        videoPath: videoPath,
+        thumbnailPath: thumbnailPath,
+        scheduledTime: scheduledTime,
+        motionSettings: motionSettings
+      });
+
+      console.log(`  Saved to database with ID: ${postId}`);
+
+    } catch (err) {
+      console.error(`  Failed: ${err.message}`);
+    }
+  }
+
+  console.log(`\n=== Content generation complete ===\n`);
+}
+
+// Run if called directly
+if (process.argv[1] === fileURLToPath(import.meta.url)) {
+  const hours = parseInt(process.argv[2]) || 3;
+  generateScheduledContent(hours).catch(console.error);
+}
diff --git a/src/createAnimation.js b/src/createAnimation.js
new file mode 100644
index 0000000..0949d92
--- /dev/null
+++ b/src/createAnimation.js
@@ -0,0 +1,127 @@
+import sharp from 'sharp';
+import GIFEncoder from 'gif-encoder-2';
+import fs from 'fs';
+import path from 'path';
+import { fileURLToPath } from 'url';
+
+const __filename = fileURLToPath(import.meta.url);
+const __dirname = path.dirname(__filename);
+
+export async function createAnimatedGIF(imagePath, effect = 'zoom') {
+  try {
+    console.log(`Creating animated GIF with ${effect} effect...`);
+
+    const outputDir = path.join(__dirname, '..', 'output');
+    const timestamp = new Date().getTime();
+    const outputPath = path.join(outputDir, `animated_${timestamp}.gif`);
+
+    // Load the image
+    const image = sharp(imagePath);
+    const metadata = await image.metadata();
+
+    const width = 500;  // Smaller size for Twitter
+    const height = 500;
+    const frameCount = 15;  // Fewer frames for smaller file
+
+    // Create GIF encoder
+    const encoder = new GIFEncoder(width, height, 'neuquant');
+    encoder.setDelay(150); // 150ms between frames for smoother playback
+    encoder.setRepeat(0); // Loop forever
+    encoder.setQuality(20); // Lower quality for smaller file size
+
+    const stream = fs.createWriteStream(outputPath);
+    encoder.createReadStream().pipe(stream);
+    encoder.start();
+
+    // Generate frames based on effect
+    for (let i = 0; i < frameCount; i++) {
+      const progress = i / frameCount;
+      let frameBuffer;
+
+      switch (effect) {
+        case 'zoom':
+          // Ken Burns zoom effect
+          const zoomFactor = 1 + (progress * 0.3); // Zoom from 100% to 130%
+          const cropSize = Math.round(Math.min(metadata.width, metadata.height) / zoomFactor);
+          const xOffset = Math.round((metadata.width - cropSize) * progress / 2);
+          const yOffset = Math.round((metadata.height - cropSize) * progress / 2);
+
+          frameBuffer = await sharp(imagePath)
+            .extract({
+              left: xOffset,
+              top: yOffset,
+              width: Math.min(cropSize, metadata.width - xOffset),
+              height: Math.min(cropSize, metadata.height - yOffset)
+            })
+            .resize(width, height, { fit: 'cover' })
+            .raw()
+            .toBuffer();
+          break;
+
+        case 'pan':
+          // Horizontal pan effect
+          const panOffset = Math.round((metadata.width - width) * progress);
+
+          frameBuffer = await sharp(imagePath)
+            .extract({
+              left: Math.min(panOffset, metadata.width - width),
+              top: 0,
+              width: width,
+              height: Math.min(height, metadata.height)
+            })
+            .resize(width, height, { fit: 'cover' })
+            .raw()
+            .toBuffer();
+          break;
+
+        case 'fade':
+          // Fade in/out effect
+          const opacity = progress < 0.5
+            ? progress * 2
+            : 2 - (progress * 2);
+
+          frameBuffer = await sharp(imagePath)
+            .resize(width, height, { fit: 'cover' })
+            .modulate({ brightness: 0.3 + (opacity * 0.7) })
+            .raw()
+            .toBuffer();
+          break;
+
+        default:
+          // Static frame
+          frameBuffer = await sharp(imagePath)
+            .resize(width, height, { fit: 'cover' })
+            .raw()
+            .toBuffer();
+      }
+
+      // Convert raw buffer to RGBA for GIF encoder
+      const rgbaBuffer = Buffer.alloc(width * height * 4);
+      for (let j = 0; j < frameBuffer.length; j += 3) {
+        const pixelIndex = Math.floor(j / 3) * 4;
+        rgbaBuffer[pixelIndex] = frameBuffer[j];       // R
+        rgbaBuffer[pixelIndex + 1] = frameBuffer[j + 1]; // G
+        rgbaBuffer[pixelIndex + 2] = frameBuffer[j + 2]; // B
+        rgbaBuffer[pixelIndex + 3] = 255;                // A
+      }
+
+      encoder.addFrame(rgbaBuffer);
+    }
+
+    // Skip reverse frames to keep file size small for Twitter
+
+    encoder.finish();
+
+    return new Promise((resolve, reject) => {
+      stream.on('finish', () => {
+        console.log(`Animated GIF created: ${outputPath}`);
+        resolve(outputPath);
+      });
+      stream.on('error', reject);
+    });
+
+  } catch (error) {
+    console.error('Error creating animated GIF:', error);
+    throw error;
+  }
+}
\ No newline at end of file
diff --git a/src/database.js b/src/database.js
new file mode 100644
index 0000000..7ffff84
--- /dev/null
+++ b/src/database.js
@@ -0,0 +1,209 @@
+import pg from 'pg';
+import dotenv from 'dotenv';
+
+dotenv.config();
+
+const { Pool } = pg;
+
+// PostgreSQL connection
+const pool = new Pool({
+  host: process.env.POSTGRES_HOST || 'localhost',
+  port: process.env.POSTGRES_PORT || 5432,
+  database: process.env.POSTGRES_DB || 'museum_posts',
+  user: process.env.POSTGRES_USER || 'postgres',
+  password: process.env.POSTGRES_PASSWORD || 'postgres'
+});
+
+/**
+ * Initialize database schema
+ */
+export async function initDatabase() {
+  const client = await pool.connect();
+  try {
+    await client.query(`
+      CREATE TABLE IF NOT EXISTS scheduled_posts (
+        id SERIAL PRIMARY KEY,
+        title VARCHAR(255) NOT NULL,
+        artist VARCHAR(255),
+        year VARCHAR(50),
+        museum VARCHAR(255),
+        video_path TEXT NOT NULL,
+        thumbnail_path TEXT,
+        scheduled_time TIMESTAMP NOT NULL,
+        status VARCHAR(50) DEFAULT 'pending',
+        tweet_id VARCHAR(100),
+        tweet_url TEXT,
+        created_at TIMESTAMP DEFAULT NOW(),
+        posted_at TIMESTAMP,
+        error_message TEXT,
+        motion_settings JSONB
+      )
+    `);
+
+    await client.query(`
+      CREATE INDEX IF NOT EXISTS idx_scheduled_time ON scheduled_posts(scheduled_time);
+      CREATE INDEX IF NOT EXISTS idx_status ON scheduled_posts(status);
+    `);
+
+    console.log('Database initialized');
+  } finally {
+    client.release();
+  }
+}
+
+/**
+ * Add a scheduled post
+ */
+export async function addScheduledPost(post) {
+  const { title, artist, year, museum, videoPath, thumbnailPath, scheduledTime, motionSettings } = post;
+
+  const result = await pool.query(`
+    INSERT INTO scheduled_posts
+    (title, artist, year, museum, video_path, thumbnail_path, scheduled_time, motion_settings)
+    VALUES ($1, $2, $3, $4, $5, $6, $7, $8)
+    RETURNING id
+  `, [title, artist, year, museum, videoPath, thumbnailPath, scheduledTime, JSON.stringify(motionSettings)]);
+
+  return result.rows[0].id;
+}
+
+/**
+ * Get all scheduled posts
+ */
+export async function getAllPosts() {
+  const result = await pool.query(`
+    SELECT * FROM scheduled_posts
+    ORDER BY scheduled_time ASC
+  `);
+  return result.rows;
+}
+
+/**
+ * Get pending posts ready to be posted
+ */
+export async function getPendingPosts() {
+  const result = await pool.query(`
+    SELECT * FROM scheduled_posts
+    WHERE status = 'pending'
+    AND scheduled_time <= NOW()
+    ORDER BY scheduled_time ASC
+  `);
+  return result.rows;
+}
+
+/**
+ * Get upcoming posts
+ */
+export async function getUpcomingPosts() {
+  const result = await pool.query(`
+    SELECT * FROM scheduled_posts
+    WHERE status = 'pending'
+    ORDER BY scheduled_time ASC
+  `);
+  return result.rows;
+}
+
+/**
+ * Update post status after posting
+ */
+export async function markAsPosted(id, tweetId, tweetUrl) {
+  await pool.query(`
+    UPDATE scheduled_posts
+    SET status = 'posted',
+        tweet_id = $2,
+        tweet_url = $3,
+        posted_at = NOW()
+    WHERE id = $1
+  `, [id, tweetId, tweetUrl]);
+}
+
+/**
+ * Mark post as failed
+ */
+export async function markAsFailed(id, errorMessage) {
+  await pool.query(`
+    UPDATE scheduled_posts
+    SET status = 'failed',
+        error_message = $2
+    WHERE id = $1
+  `, [id, errorMessage]);
+}
+
+/**
+ * Delete a scheduled post
+ */
+export async function deletePost(id) {
+  // Get the video path first to delete the file
+  const result = await pool.query(`
+    SELECT video_path, thumbnail_path FROM scheduled_posts WHERE id = $1
+  `, [id]);
+
+  if (result.rows.length > 0) {
+    await pool.query(`DELETE FROM scheduled_posts WHERE id = $1`, [id]);
+    return result.rows[0];
+  }
+  return null;
+}
+
+/**
+ * Get post by ID
+ */
+export async function getPostById(id) {
+  const result = await pool.query(`
+    SELECT * FROM scheduled_posts WHERE id = $1
+  `, [id]);
+  return result.rows[0];
+}
+
+/**
+ * Update a scheduled post
+ */
+export async function updatePost(id, updates) {
+  const { title, artist, scheduledTime, status } = updates;
+  const setClauses = [];
+  const values = [id];
+  let paramIndex = 2;
+
+  if (title !== undefined) {
+    setClauses.push(`title = $${paramIndex++}`);
+    values.push(title);
+  }
+  if (artist !== undefined) {
+    setClauses.push(`artist = $${paramIndex++}`);
+    values.push(artist);
+  }
+  if (scheduledTime !== undefined) {
+    setClauses.push(`scheduled_time = $${paramIndex++}`);
+    values.push(scheduledTime);
+  }
+  if (status !== undefined) {
+    setClauses.push(`status = $${paramIndex++}`);
+    values.push(status);
+  }
+
+  if (setClauses.length === 0) return null;
+
+  const result = await pool.query(`
+    UPDATE scheduled_posts
+    SET ${setClauses.join(', ')}
+    WHERE id = $1
+    RETURNING *
+  `, values);
+
+  return result.rows[0];
+}
+
+/**
+ * Get posting status (paused or active)
+ */
+let postingPaused = false;
+
+export function isPaused() {
+  return postingPaused;
+}
+
+export function setPaused(paused) {
+  postingPaused = paused;
+}
+
+export { pool };
diff --git a/src/duplicateTracker.js b/src/duplicateTracker.js
new file mode 100644
index 0000000..93233ef
--- /dev/null
+++ b/src/duplicateTracker.js
@@ -0,0 +1,81 @@
+import fs from 'fs';
+import path from 'path';
+import { fileURLToPath } from 'url';
+
+const __filename = fileURLToPath(import.meta.url);
+const __dirname = path.dirname(__filename);
+
+const DATA_DIR = path.join(__dirname, '..', 'data');
+const POSTED_FILE = path.join(DATA_DIR, 'posted-artworks.json');
+const MAX_ENTRIES = 1000;
+const DUPLICATE_WINDOW_DAYS = 30;
+
+function ensureDataDir() {
+  if (!fs.existsSync(DATA_DIR)) {
+    fs.mkdirSync(DATA_DIR, { recursive: true });
+  }
+}
+
+function loadPostedArtworks() {
+  ensureDataDir();
+  try {
+    if (fs.existsSync(POSTED_FILE)) {
+      return JSON.parse(fs.readFileSync(POSTED_FILE, 'utf-8'));
+    }
+  } catch (error) {
+    console.error('Error loading posted artworks:', error.message);
+  }
+  return [];
+}
+
+function savePostedArtworks(artworks) {
+  ensureDataDir();
+  // Keep only last MAX_ENTRIES
+  const trimmed = artworks.slice(-MAX_ENTRIES);
+  fs.writeFileSync(POSTED_FILE, JSON.stringify(trimmed, null, 2));
+}
+
+export function isRecentlyPosted(objectNumber) {
+  const posted = loadPostedArtworks();
+  const cutoff = Date.now() - (DUPLICATE_WINDOW_DAYS * 24 * 60 * 60 * 1000);
+
+  return posted.some(entry => {
+    if (entry.objectNumber !== objectNumber) return false;
+    const postedTime = new Date(entry.postedAt).getTime();
+    return postedTime > cutoff;
+  });
+}
+
+export function markAsPosted(artwork, tweetId) {
+  const posted = loadPostedArtworks();
+
+  posted.push({
+    objectNumber: artwork.objectNumber,
+    title: artwork.title,
+    artist: artwork.artist,
+    museum: artwork.museum || artwork.sourceMuseum,
+    tweetId: tweetId,
+    postedAt: new Date().toISOString()
+  });
+
+  savePostedArtworks(posted);
+  console.log(`Marked as posted: ${artwork.objectNumber}`);
+}
+
+export function getRecentPosts(limit = 10) {
+  const posted = loadPostedArtworks();
+  return posted.slice(-limit).reverse();
+}
+
+export function getStats() {
+  const posted = loadPostedArtworks();
+  const cutoff = Date.now() - (DUPLICATE_WINDOW_DAYS * 24 * 60 * 60 * 1000);
+  const recent = posted.filter(p => new Date(p.postedAt).getTime() > cutoff);
+
+  return {
+    totalPosted: posted.length,
+    recentCount: recent.length,
+    oldestEntry: posted[0]?.postedAt || null,
+    newestEntry: posted[posted.length - 1]?.postedAt || null
+  };
+}
diff --git a/src/fetchArtwork.js b/src/fetchArtwork.js
new file mode 100644
index 0000000..076cf15
--- /dev/null
+++ b/src/fetchArtwork.js
@@ -0,0 +1,148 @@
+import axios from 'axios';
+import fs from 'fs';
+import path from 'path';
+import { fileURLToPath } from 'url';
+import dotenv from 'dotenv';
+
+dotenv.config();
+
+const __filename = fileURLToPath(import.meta.url);
+const __dirname = path.dirname(__filename);
+
+const FAMOUS_ARTWORKS = [
+  {
+    title: 'The Night Watch',
+    artist: 'Rembrandt van Rijn',
+    year: '1642',
+    imageUrl: 'https://upload.wikimedia.org/wikipedia/commons/thumb/5/5a/The_Night_Watch_-_HD.jpg/1920px-The_Night_Watch_-_HD.jpg'
+  },
+  {
+    title: 'Girl with a Pearl Earring',
+    artist: 'Johannes Vermeer',
+    year: '1665',
+    imageUrl: 'https://upload.wikimedia.org/wikipedia/commons/thumb/0/0f/1665_Girl_with_a_Pearl_Earring.jpg/800px-1665_Girl_with_a_Pearl_Earring.jpg'
+  },
+  {
+    title: 'The Starry Night',
+    artist: 'Vincent van Gogh',
+    year: '1889',
+    imageUrl: 'https://upload.wikimedia.org/wikipedia/commons/thumb/e/ea/Van_Gogh_-_Starry_Night_-_Google_Art_Project.jpg/1920px-Van_Gogh_-_Starry_Night_-_Google_Art_Project.jpg'
+  },
+  {
+    title: 'The Great Wave off Kanagawa',
+    artist: 'Katsushika Hokusai',
+    year: '1831',
+    imageUrl: 'https://upload.wikimedia.org/wikipedia/commons/thumb/0/0a/The_Great_Wave_off_Kanagawa.jpg/1920px-The_Great_Wave_off_Kanagawa.jpg'
+  },
+  {
+    title: 'The Birth of Venus',
+    artist: 'Sandro Botticelli',
+    year: '1485',
+    imageUrl: 'https://upload.wikimedia.org/wikipedia/commons/thumb/0/0b/Sandro_Botticelli_-_La_nascita_di_Venere_-_Google_Art_Project_-_edited.jpg/1920px-Sandro_Botticelli_-_La_nascita_di_Venere_-_Google_Art_Project_-_edited.jpg'
+  },
+  {
+    title: 'The Garden of Earthly Delights',
+    artist: 'Hieronymus Bosch',
+    year: '1515',
+    imageUrl: 'https://upload.wikimedia.org/wikipedia/commons/thumb/a/ae/El_jard%C3%ADn_de_las_Delicias%2C_de_El_Bosco.jpg/1920px-El_jard%C3%ADn_de_las_Delicias%2C_de_El_Bosco.jpg'
+  },
+  {
+    title: 'Las Meninas',
+    artist: 'Diego Velázquez',
+    year: '1656',
+    imageUrl: 'https://upload.wikimedia.org/wikipedia/commons/thumb/3/31/Las_Meninas%2C_by_Diego_Vel%C3%A1zquez%2C_from_Prado_in_Google_Earth.jpg/1200px-Las_Meninas%2C_by_Diego_Vel%C3%A1zquez%2C_from_Prado_in_Google_Earth.jpg'
+  },
+  {
+    title: 'The Arnolfini Portrait',
+    artist: 'Jan van Eyck',
+    year: '1434',
+    imageUrl: 'https://upload.wikimedia.org/wikipedia/commons/thumb/3/33/Van_Eyck_-_Arnolfini_Portrait.jpg/800px-Van_Eyck_-_Arnolfini_Portrait.jpg'
+  },
+  {
+    title: 'Sunflowers',
+    artist: 'Vincent van Gogh',
+    year: '1888',
+    imageUrl: 'https://upload.wikimedia.org/wikipedia/commons/thumb/4/46/Vincent_Willem_van_Gogh_127.jpg/800px-Vincent_Willem_van_Gogh_127.jpg'
+  },
+  {
+    title: 'The Milkmaid',
+    artist: 'Johannes Vermeer',
+    year: '1658',
+    imageUrl: 'https://upload.wikimedia.org/wikipedia/commons/thumb/2/20/Johannes_Vermeer_-_Het_melkmeisje_-_Google_Art_Project.jpg/800px-Johannes_Vermeer_-_Het_melkmeisje_-_Google_Art_Project.jpg'
+  },
+  {
+    title: 'Liberty Leading the People',
+    artist: 'Eugène Delacroix',
+    year: '1830',
+    imageUrl: 'https://upload.wikimedia.org/wikipedia/commons/thumb/5/5d/Eug%C3%A8ne_Delacroix_-_Le_28_Juillet._La_Libert%C3%A9_guidant_le_peuple.jpg/1920px-Eug%C3%A8ne_Delacroix_-_Le_28_Juillet._La_Libert%C3%A9_guidant_le_peuple.jpg'
+  },
+  {
+    title: 'Wanderer above the Sea of Fog',
+    artist: 'Caspar David Friedrich',
+    year: '1818',
+    imageUrl: 'https://upload.wikimedia.org/wikipedia/commons/thumb/b/b9/Caspar_David_Friedrich_-_Wanderer_above_the_sea_of_fog.jpg/800px-Caspar_David_Friedrich_-_Wanderer_above_the_sea_of_fog.jpg'
+  }
+];
+
+export async function fetchRandomArtwork() {
+  try {
+    const randomArtwork = FAMOUS_ARTWORKS[Math.floor(Math.random() * FAMOUS_ARTWORKS.length)];
+
+    console.log(`Fetching: ${randomArtwork.title} by ${randomArtwork.artist}...`);
+
+    const response = await axios.get(randomArtwork.imageUrl, {
+      responseType: 'arraybuffer',
+      headers: {
+        'User-Agent': 'Mozilla/5.0 (compatible; MuseumBot/1.0; +https://github.com/museum-bot)',
+        'Accept': 'image/webp,image/apng,image/*,*/*;q=0.8'
+      },
+      maxRedirects: 5,
+      timeout: 30000
+    });
+
+    if (!response.data || response.data.length < 1000) {
+      throw new Error('Failed to download image');
+    }
+
+    const outputDir = path.join(__dirname, '..', 'output');
+    if (!fs.existsSync(outputDir)) {
+      fs.mkdirSync(outputDir, { recursive: true });
+    }
+
+    const timestamp = new Date().getTime();
+    const fileName = `artwork_${timestamp}.jpg`;
+    const filePath = path.join(outputDir, fileName);
+
+    fs.writeFileSync(filePath, response.data);
+
+    const metadata = {
+      title: randomArtwork.title,
+      artist: randomArtwork.artist,
+      year: randomArtwork.year,
+      description: `${randomArtwork.title} is a masterpiece created by ${randomArtwork.artist} in ${randomArtwork.year}. This artwork is now in the public domain and represents a significant contribution to art history.`,
+      objectNumber: `PD-${timestamp}`,
+      imageUrl: randomArtwork.imageUrl,
+      localPath: filePath,
+      fileName: fileName,
+      museum: 'Public Domain Collection',
+      creditLine: `${randomArtwork.artist} (Public Domain)`,
+      dimensions: []
+    };
+
+    const metadataPath = path.join(outputDir, `metadata_${timestamp}.json`);
+    fs.writeFileSync(metadataPath, JSON.stringify(metadata, null, 2));
+
+    console.log(`Artwork fetched: ${metadata.title} by ${metadata.artist}`);
+    return metadata;
+
+  } catch (error) {
+    console.error('Error fetching artwork:', error.message);
+    throw error;
+  }
+}
+
+if (process.argv[1] === fileURLToPath(import.meta.url)) {
+  fetchRandomArtwork()
+    .then(metadata => console.log('Success:', metadata))
+    .catch(error => console.error('Failed:', error));
+}
\ No newline at end of file
diff --git a/src/fetchFromAIC.js b/src/fetchFromAIC.js
new file mode 100644
index 0000000..1eb4a16
--- /dev/null
+++ b/src/fetchFromAIC.js
@@ -0,0 +1,104 @@
+import axios from 'axios';
+import fs from 'fs';
+import path from 'path';
+import { fileURLToPath } from 'url';
+
+const __filename = fileURLToPath(import.meta.url);
+const __dirname = path.dirname(__filename);
+
+const AIC_API_BASE = 'https://api.artic.edu/api/v1';
+const IIIF_BASE = 'https://www.artic.edu/iiif/2';
+
+export async function fetchFromAIC() {
+  try {
+    console.log('Fetching from Art Institute of Chicago...');
+
+    // Search for public domain artworks with images
+    const response = await axios.get(`${AIC_API_BASE}/artworks/search`, {
+      params: {
+        q: '*',
+        query: {
+          bool: {
+            must: [
+              { term: { is_public_domain: true } },
+              { exists: { field: 'image_id' } }
+            ]
+          }
+        },
+        fields: 'id,title,artist_title,date_display,image_id,thumbnail,medium_display,dimensions,credit_line,place_of_origin,style_title',
+        limit: 100
+      },
+      timeout: 30000
+    });
+
+    if (!response.data || !response.data.data || response.data.data.length === 0) {
+      throw new Error('No artworks found from Art Institute of Chicago');
+    }
+
+    const artworks = response.data.data.filter(a => a.image_id);
+    if (artworks.length === 0) {
+      throw new Error('No artworks with images found');
+    }
+
+    // Pick random artwork
+    const artwork = artworks[Math.floor(Math.random() * artworks.length)];
+
+    // Construct IIIF image URL (843px wide is good quality)
+    const imageUrl = `${IIIF_BASE}/${artwork.image_id}/full/843,/0/default.jpg`;
+
+    console.log(`Downloading: ${artwork.title}`);
+    const imageResponse = await axios.get(imageUrl, {
+      responseType: 'arraybuffer',
+      timeout: 30000,
+      headers: {
+        'User-Agent': 'Mozilla/5.0 (compatible; MuseumBot/1.0)'
+      }
+    });
+
+    if (!imageResponse.data || imageResponse.data.length < 1000) {
+      throw new Error('Failed to download image');
+    }
+
+    // Save to output directory
+    const outputDir = path.join(__dirname, '..', 'output');
+    if (!fs.existsSync(outputDir)) {
+      fs.mkdirSync(outputDir, { recursive: true });
+    }
+
+    const timestamp = Date.now();
+    const fileName = `aic_${timestamp}.jpg`;
+    const filePath = path.join(outputDir, fileName);
+    fs.writeFileSync(filePath, imageResponse.data);
+
+    // Return normalized metadata
+    const metadata = {
+      title: artwork.title || 'Untitled',
+      artist: artwork.artist_title || 'Unknown Artist',
+      year: artwork.date_display || 'Date Unknown',
+      description: artwork.medium_display || '',
+      objectNumber: `AIC-${artwork.id}`,
+      imageUrl: imageUrl,
+      localPath: filePath,
+      fileName: fileName,
+      museum: 'Art Institute of Chicago',
+      creditLine: artwork.credit_line || 'Art Institute of Chicago (Public Domain)',
+      dimensions: artwork.dimensions ? [artwork.dimensions] : [],
+      style: artwork.style_title,
+      origin: artwork.place_of_origin
+    };
+
+    console.log(`AIC: Fetched "${metadata.title}" by ${metadata.artist}`);
+    return metadata;
+
+  } catch (error) {
+    console.error('AIC fetch failed:', error.message);
+    throw error;
+  }
+}
+
+// Test if run directly
+if (process.argv[1] === fileURLToPath(import.meta.url)) {
+  fetchFromAIC()
+    .then(m => console.log('Success:', JSON.stringify(m, null, 2)))
+    .catch(e => console.error('Failed:', e.message));
+}
diff --git a/src/fetchFromMet.js b/src/fetchFromMet.js
new file mode 100644
index 0000000..32873f9
--- /dev/null
+++ b/src/fetchFromMet.js
@@ -0,0 +1,140 @@
+import axios from 'axios';
+import fs from 'fs';
+import path from 'path';
+import { fileURLToPath } from 'url';
+
+const __filename = fileURLToPath(import.meta.url);
+const __dirname = path.dirname(__filename);
+
+const MET_API_BASE = 'https://collectionapi.metmuseum.org/public/collection/v1';
+
+const sleep = (ms) => new Promise(resolve => setTimeout(resolve, ms));
+
+// Cache of highlight object IDs (public domain with images)
+let cachedObjectIds = null;
+
+async function getHighlightObjectIds() {
+  if (cachedObjectIds && cachedObjectIds.length > 0) {
+    return cachedObjectIds;
+  }
+
+  try {
+    // Search for highlighted public domain artworks with images
+    const response = await axios.get(`${MET_API_BASE}/search`, {
+      params: {
+        isHighlight: true,
+        hasImages: true,
+        q: '*'  // All artworks
+      },
+      timeout: 30000
+    });
+
+    if (response.data && response.data.objectIDs) {
+      cachedObjectIds = response.data.objectIDs;
+      console.log(`Met Museum: Found ${cachedObjectIds.length} highlighted artworks`);
+      return cachedObjectIds;
+    }
+  } catch (error) {
+    console.error('Met Museum search failed:', error.message);
+  }
+
+  return [];
+}
+
+async function getObjectDetails(objectId) {
+  try {
+    const response = await axios.get(`${MET_API_BASE}/objects/${objectId}`, {
+      timeout: 15000
+    });
+    return response.data;
+  } catch (error) {
+    console.error(`Failed to fetch object ${objectId}:`, error.message);
+    return null;
+  }
+}
+
+export async function fetchFromMet() {
+  try {
+    console.log('Fetching from Metropolitan Museum of Art...');
+
+    const objectIds = await getHighlightObjectIds();
+    if (objectIds.length === 0) {
+      throw new Error('No artworks found from Met Museum');
+    }
+
+    // Try up to 10 random artworks to find one with valid public domain image
+    for (let attempt = 0; attempt < 10; attempt++) {
+      const randomId = objectIds[Math.floor(Math.random() * objectIds.length)];
+      const artwork = await getObjectDetails(randomId);
+
+      // Accept public domain OR CC0 licensed images
+      const hasValidLicense = artwork?.isPublicDomain ||
+        artwork?.rightsAndReproduction?.toLowerCase().includes('cc0') ||
+        artwork?.rightsAndReproduction?.toLowerCase().includes('public domain');
+
+      if (!artwork || !hasValidLicense || !artwork.primaryImage) {
+        if (attempt < 9) await sleep(500); // Small delay between attempts
+        continue;
+      }
+
+      // Download the image
+      console.log(`Downloading: ${artwork.title}`);
+      const imageResponse = await axios.get(artwork.primaryImage, {
+        responseType: 'arraybuffer',
+        timeout: 30000,
+        headers: {
+          'User-Agent': 'Mozilla/5.0 (compatible; MuseumBot/1.0)'
+        }
+      });
+
+      if (!imageResponse.data || imageResponse.data.length < 1000) {
+        continue;
+      }
+
+      // Save to output directory
+      const outputDir = path.join(__dirname, '..', 'output');
+      if (!fs.existsSync(outputDir)) {
+        fs.mkdirSync(outputDir, { recursive: true });
+      }
+
+      const timestamp = Date.now();
+      const fileName = `met_${timestamp}.jpg`;
+      const filePath = path.join(outputDir, fileName);
+      fs.writeFileSync(filePath, imageResponse.data);
+
+      // Return normalized metadata
+      const metadata = {
+        title: artwork.title || 'Untitled',
+        artist: artwork.artistDisplayName || 'Unknown Artist',
+        year: artwork.objectDate || 'Date Unknown',
+        description: artwork.medium || '',
+        objectNumber: `MET-${artwork.objectID}`,
+        imageUrl: artwork.primaryImage,
+        localPath: filePath,
+        fileName: fileName,
+        museum: 'The Metropolitan Museum of Art',
+        creditLine: artwork.creditLine || 'The Metropolitan Museum of Art (Public Domain)',
+        dimensions: artwork.dimensions ? [artwork.dimensions] : [],
+        department: artwork.department,
+        culture: artwork.culture,
+        period: artwork.period
+      };
+
+      console.log(`Met Museum: Fetched "${metadata.title}" by ${metadata.artist}`);
+      return metadata;
+    }
+
+    throw new Error('Could not find valid public domain artwork after 5 attempts');
+
+  } catch (error) {
+    console.error('Met Museum fetch failed:', error.message);
+    throw error;
+  }
+}
+
+// Test if run directly
+if (process.argv[1] === fileURLToPath(import.meta.url)) {
+  fetchFromMet()
+    .then(m => console.log('Success:', JSON.stringify(m, null, 2)))
+    .catch(e => console.error('Failed:', e.message));
+}
diff --git a/src/fetchFromMuseums.js b/src/fetchFromMuseums.js
new file mode 100644
index 0000000..249a6fb
--- /dev/null
+++ b/src/fetchFromMuseums.js
@@ -0,0 +1,93 @@
+import { fetchFromRijksmuseum } from './fetchFromRijksmuseum.js';
+import { fetchFromMet } from './fetchFromMet.js';
+import { fetchFromAIC } from './fetchFromAIC.js';
+import { fetchRandomArtwork } from './fetchArtwork.js';
+import fs from 'fs';
+import path from 'path';
+import { fileURLToPath } from 'url';
+
+const __filename = fileURLToPath(import.meta.url);
+const __dirname = path.dirname(__filename);
+
+// Museum sources with weights
+const MUSEUMS = [
+  { name: 'Rijksmuseum', fetch: fetchFromRijksmuseum, weight: 3, requiresKey: true },
+  { name: 'Metropolitan Museum', fetch: fetchFromMet, weight: 3, requiresKey: false },
+  { name: 'Art Institute Chicago', fetch: fetchFromAIC, weight: 3, requiresKey: false },
+  { name: 'Hardcoded Collection', fetch: fetchRandomArtwork, weight: 1, requiresKey: false }
+];
+
+function selectRandomMuseum() {
+  // Filter out museums that require keys we don't have
+  const available = MUSEUMS.filter(m => {
+    if (m.requiresKey && m.name === 'Rijksmuseum') {
+      const key = process.env.RIJKSMUSEUM_API_KEY;
+      return key && key !== '0';
+    }
+    return true;
+  });
+
+  // Weighted random selection
+  const totalWeight = available.reduce((sum, m) => sum + m.weight, 0);
+  let random = Math.random() * totalWeight;
+
+  for (const museum of available) {
+    random -= museum.weight;
+    if (random <= 0) {
+      return museum;
+    }
+  }
+
+  return available[available.length - 1];
+}
+
+export async function fetchFromMuseums() {
+  const errors = [];
+
+  // Try random museum first
+  const primaryMuseum = selectRandomMuseum();
+  console.log(`Trying primary source: ${primaryMuseum.name}`);
+
+  try {
+    const artwork = await primaryMuseum.fetch();
+    artwork.sourceMuseum = primaryMuseum.name;
+    console.log(`Success from ${primaryMuseum.name}`);
+    return artwork;
+  } catch (error) {
+    console.error(`${primaryMuseum.name} failed:`, error.message);
+    errors.push({ museum: primaryMuseum.name, error: error.message });
+  }
+
+  // Fallback cascade
+  const fallbackOrder = ['Metropolitan Museum', 'Art Institute Chicago', 'Hardcoded Collection'];
+
+  for (const museumName of fallbackOrder) {
+    if (museumName === primaryMuseum.name) continue;
+
+    const museum = MUSEUMS.find(m => m.name === museumName);
+    if (!museum) continue;
+
+    console.log(`Fallback: Trying ${museum.name}...`);
+
+    try {
+      const artwork = await museum.fetch();
+      artwork.sourceMuseum = museum.name;
+      console.log(`Success from ${museum.name} (fallback)`);
+      return artwork;
+    } catch (error) {
+      console.error(`${museum.name} failed:`, error.message);
+      errors.push({ museum: museum.name, error: error.message });
+    }
+  }
+
+  // Log all errors
+  console.error('All museum sources failed:', errors);
+  throw new Error('All museum sources failed');
+}
+
+// Test if run directly
+if (process.argv[1] === fileURLToPath(import.meta.url)) {
+  fetchFromMuseums()
+    .then(m => console.log('Success:', JSON.stringify(m, null, 2)))
+    .catch(e => console.error('Failed:', e.message));
+}
diff --git a/src/fetchFromRijksmuseum.js b/src/fetchFromRijksmuseum.js
new file mode 100644
index 0000000..b5d4fa6
--- /dev/null
+++ b/src/fetchFromRijksmuseum.js
@@ -0,0 +1,101 @@
+import axios from 'axios';
+import fs from 'fs';
+import path from 'path';
+import { fileURLToPath } from 'url';
+import dotenv from 'dotenv';
+
+dotenv.config();
+
+const __filename = fileURLToPath(import.meta.url);
+const __dirname = path.dirname(__filename);
+
+const RIJKS_API_BASE = 'https://www.rijksmuseum.nl/api/nl/collection';
+
+export async function fetchFromRijksmuseum() {
+  const apiKey = process.env.RIJKSMUSEUM_API_KEY;
+
+  if (!apiKey || apiKey === '0') {
+    throw new Error('Rijksmuseum API key not configured');
+  }
+
+  try {
+    console.log('Fetching from Rijksmuseum...');
+
+    // Get collection with images only, top pieces
+    const response = await axios.get(RIJKS_API_BASE, {
+      params: {
+        key: apiKey,
+        imgonly: true,
+        toppieces: true,
+        ps: 50,  // 50 results per page
+        p: Math.floor(Math.random() * 10) + 1  // Random page 1-10
+      },
+      timeout: 30000
+    });
+
+    if (!response.data || !response.data.artObjects || response.data.artObjects.length === 0) {
+      throw new Error('No artworks found from Rijksmuseum');
+    }
+
+    // Pick random artwork with valid image
+    const artworks = response.data.artObjects.filter(a => a.webImage && a.webImage.url);
+    if (artworks.length === 0) {
+      throw new Error('No artworks with images found');
+    }
+
+    const artwork = artworks[Math.floor(Math.random() * artworks.length)];
+
+    console.log(`Downloading: ${artwork.title}`);
+    const imageResponse = await axios.get(artwork.webImage.url, {
+      responseType: 'arraybuffer',
+      timeout: 30000,
+      headers: {
+        'User-Agent': 'Mozilla/5.0 (compatible; MuseumBot/1.0)'
+      }
+    });
+
+    if (!imageResponse.data || imageResponse.data.length < 1000) {
+      throw new Error('Failed to download image');
+    }
+
+    // Save to output directory
+    const outputDir = path.join(__dirname, '..', 'output');
+    if (!fs.existsSync(outputDir)) {
+      fs.mkdirSync(outputDir, { recursive: true });
+    }
+
+    const timestamp = Date.now();
+    const fileName = `rijks_${timestamp}.jpg`;
+    const filePath = path.join(outputDir, fileName);
+    fs.writeFileSync(filePath, imageResponse.data);
+
+    // Return normalized metadata
+    const metadata = {
+      title: artwork.title || 'Untitled',
+      artist: artwork.principalOrFirstMaker || 'Unknown Artist',
+      year: artwork.dating?.presentingDate || 'Date Unknown',
+      description: artwork.longTitle || '',
+      objectNumber: artwork.objectNumber,
+      imageUrl: artwork.webImage.url,
+      localPath: filePath,
+      fileName: fileName,
+      museum: 'Rijksmuseum, Amsterdam',
+      creditLine: 'Rijksmuseum (Public Domain)',
+      dimensions: []
+    };
+
+    console.log(`Rijksmuseum: Fetched "${metadata.title}" by ${metadata.artist}`);
+    return metadata;
+
+  } catch (error) {
+    console.error('Rijksmuseum fetch failed:', error.message);
+    throw error;
+  }
+}
+
+// Test if run directly
+if (process.argv[1] === fileURLToPath(import.meta.url)) {
+  fetchFromRijksmuseum()
+    .then(m => console.log('Success:', JSON.stringify(m, null, 2)))
+    .catch(e => console.error('Failed:', e.message));
+}
diff --git a/src/healthServer.js b/src/healthServer.js
new file mode 100644
index 0000000..dd36ae1
--- /dev/null
+++ b/src/healthServer.js
@@ -0,0 +1,115 @@
+import http from 'http';
+import fs from 'fs';
+import path from 'path';
+import { fileURLToPath } from 'url';
+
+const __filename = fileURLToPath(import.meta.url);
+const __dirname = path.dirname(__filename);
+
+const PORT = process.env.PORT || 7890;
+
+// Track bot state
+let lastPostTime = null;
+let nextPostTime = null;
+let isRunning = false;
+
+export function updateLastPost(time) {
+  lastPostTime = time || new Date().toISOString();
+  // Next post is 6 hours from now
+  nextPostTime = new Date(Date.now() + 6 * 60 * 60 * 1000).toISOString();
+
+  // Save to file for persistence
+  const dataDir = path.join(__dirname, '..', 'data');
+  if (!fs.existsSync(dataDir)) fs.mkdirSync(dataDir, { recursive: true });
+  fs.writeFileSync(path.join(dataDir, 'last-run.json'), JSON.stringify({
+    lastPost: lastPostTime,
+    nextPost: nextPostTime,
+    updatedAt: new Date().toISOString()
+  }, null, 2));
+}
+
+export function setRunning(running) {
+  isRunning = running;
+}
+
+function getLast5Posts() {
+  try {
+    const logsDir = path.join(__dirname, '..', 'logs');
+    const logFile = path.join(logsDir, 'posts.log');
+    if (!fs.existsSync(logFile)) return [];
+
+    const content = fs.readFileSync(logFile, 'utf-8');
+    const lines = content.trim().split('\n').filter(Boolean);
+    return lines.slice(-5).map(line => {
+      try { return JSON.parse(line); } catch { return null; }
+    }).filter(Boolean);
+  } catch {
+    return [];
+  }
+}
+
+function loadLastRun() {
+  try {
+    const dataDir = path.join(__dirname, '..', 'data');
+    const lastRunFile = path.join(dataDir, 'last-run.json');
+    if (fs.existsSync(lastRunFile)) {
+      const data = JSON.parse(fs.readFileSync(lastRunFile, 'utf-8'));
+      lastPostTime = data.lastPost;
+      nextPostTime = data.nextPost;
+    }
+  } catch {}
+}
+
+const server = http.createServer((req, res) => {
+  res.setHeader('Content-Type', 'application/json');
+  res.setHeader('Access-Control-Allow-Origin', '*');
+
+  if (req.url === '/health' || req.url === '/') {
+    const response = {
+      status: 'ok',
+      service: 'museum-art-bot',
+      isRunning,
+      lastPost: lastPostTime,
+      nextPost: nextPostTime,
+      uptime: process.uptime(),
+      timestamp: new Date().toISOString()
+    };
+    res.writeHead(200);
+    res.end(JSON.stringify(response, null, 2));
+  }
+  else if (req.url === '/status') {
+    const posts = getLast5Posts();
+    const response = {
+      status: 'ok',
+      recentPosts: posts.map(p => ({
+        timestamp: p.timestamp,
+        tweetId: p.tweetId,
+        artwork: p.artwork?.title,
+        artist: p.artwork?.artist
+      })),
+      totalPosts: posts.length,
+      lastPost: lastPostTime,
+      nextPost: nextPostTime
+    };
+    res.writeHead(200);
+    res.end(JSON.stringify(response, null, 2));
+  }
+  else {
+    res.writeHead(404);
+    res.end(JSON.stringify({ error: 'Not found' }));
+  }
+});
+
+export function startHealthServer() {
+  loadLastRun();
+  server.listen(PORT, () => {
+    console.log(`Health server running on port ${PORT}`);
+    isRunning = true;
+  });
+  return server;
+}
+
+// If run directly
+if (process.argv[1] === fileURLToPath(import.meta.url)) {
+  startHealthServer();
+}
diff --git a/src/index.js b/src/index.js
new file mode 100644
index 0000000..59bec7d
--- /dev/null
+++ b/src/index.js
@@ -0,0 +1,231 @@
+import cron from 'node-cron';
+import { fetchFromMuseums } from './fetchFromMuseums.js';
+import { fetchRandomArtwork } from './fetchArtwork.js';
+import { postToX, testCredentials } from './postToX.js';
+// Animation disabled - posting photos only
+// import { animateArtwork, getAnimationStats } from './animateWithGrok.js';
+import { startHealthServer, updateLastPost, setRunning } from './healthServer.js';
+import { validateCredentials } from './validateCredentials.js';
+import { isRecentlyPosted, markAsPosted } from './duplicateTracker.js';
+import { notifySuccess, notifyError } from './slackNotify.js';
+import { withRetry } from './utils/retry.js';
+import fs from 'fs';
+import path from 'path';
+import { fileURLToPath } from 'url';
+import dotenv from 'dotenv';
+
+dotenv.config();
+
+const __filename = fileURLToPath(import.meta.url);
+const __dirname = path.dirname(__filename);
+
+async function processAndPost() {
+  console.log('\n========================================');
+  console.log('Starting museum art post process...');
+  console.log('Time:', new Date().toISOString());
+  console.log('========================================\n');
+
+  try {
+    // Step 1: Fetch artwork from museums with retry
+    console.log('Step 1: Fetching artwork from museums...');
+    let artwork;
+    let attempts = 0;
+    const maxAttempts = 5;
+
+    while (attempts < maxAttempts) {
+      attempts++;
+      try {
+        artwork = await withRetry(
+          () => fetchFromMuseums(),
+          { maxRetries: 2, initialDelay: 2000 }
+        );
+
+        // Check for duplicates
+        if (isRecentlyPosted(artwork.objectNumber)) {
+          console.log(`Skipping duplicate: ${artwork.title} (posted recently)`);
+          continue;
+        }
+
+        break;
+      } catch (error) {
+        console.log(`Fetch attempt ${attempts} failed:`, error.message);
+        if (attempts === maxAttempts) {
+          // Final fallback to hardcoded
+          console.log('Using hardcoded fallback...');
+          artwork = await fetchRandomArtwork();
+        }
+      }
+    }
+
+    console.log(`Fetched: "${artwork.title}" by ${artwork.artist}`);
+    console.log(`Source: ${artwork.museum || artwork.sourceMuseum || 'Hardcoded'}`);
+
+    // Step 2: Prepare photo for posting (no animation)
+    console.log('\nStep 2: Preparing photo for posting...');
+    const animationResult = {
+      originalImage: artwork.localPath,
+      isAnimated: false,
+      animationType: 'static_photo',
+      artworkMetadata: artwork
+    };
+    console.log(`Using static photo: ${artwork.localPath}`);
+
+    // Step 3: Post to X.com with retry
+    console.log('\nStep 3: Posting to X.com...');
+    const tweet = await withRetry(
+      () => postToX(animationResult),
+      { maxRetries: 3, initialDelay: 5000 }
+    );
+
+    console.log('\nSuccessfully posted!');
+    console.log(`Tweet ID: ${tweet.data.id}`);
+
+    // Mark as posted to prevent duplicates
+    markAsPosted(artwork, tweet.data.id);
+
+    // Send Slack notification
+    await notifySuccess(artwork, tweet.data.id);
+
+    // Cleanup old files
+    cleanupOldFiles();
+
+    // Photo posted successfully
+    console.log('\nPhoto post completed!');
+
+    return { success: true, artwork, tweet };
+
+  } catch (error) {
+    console.error('\nError in process:', error);
+
+    // Log error
+    const errorLog = {
+      timestamp: new Date().toISOString(),
+      error: error.message,
+      stack: error.stack
+    };
+
+    const logsDir = path.join(__dirname, '..', 'logs');
+    if (!fs.existsSync(logsDir)) {
+      fs.mkdirSync(logsDir, { recursive: true });
+    }
+
+    const errorFile = path.join(logsDir, 'errors.log');
+    fs.appendFileSync(errorFile, JSON.stringify(errorLog) + '\n');
+
+    // Send Slack error notification
+    await notifyError(error.message, 'processAndPost');
+
+    return { success: false, error: error.message };
+  }
+}
+
+function cleanupOldFiles() {
+  try {
+    const outputDir = path.join(__dirname, '..', 'output');
+    if (!fs.existsSync(outputDir)) return;
+
+    const files = fs.readdirSync(outputDir);
+    const oneWeekAgo = Date.now() - (7 * 24 * 60 * 60 * 1000);
+
+    files.forEach(file => {
+      const filePath = path.join(outputDir, file);
+      try {
+        const stats = fs.statSync(filePath);
+        if (stats.mtimeMs < oneWeekAgo) {
+          fs.unlinkSync(filePath);
+          console.log(`Cleaned up old file: ${file}`);
+        }
+      } catch (e) {}
+    });
+  } catch (error) {
+    console.log('Cleanup error:', error.message);
+  }
+}
+
+async function runOnce() {
+  console.log('Running single post...');
+
+  // Validate credentials first
+  const credsValid = validateCredentials();
+  if (!credsValid) {
+    console.error('Missing required credentials. Exiting.');
+    process.exit(1);
+  }
+
+  const result = await processAndPost();
+  if (result.success) {
+    console.log('\nPost completed successfully!');
+    process.exit(0);
+  } else {
+    console.error('\nPost failed:', result.error);
+    process.exit(1);
+  }
+}
+
+async function startCronJob() {
+  console.log('========================================');
+  console.log('Museum Art Bot Starting...');
+  console.log('========================================\n');
+
+  // Validate all credentials
+  const credsValid = validateCredentials();
+  if (!credsValid) {
+    console.error('Missing required credentials. Exiting.');
+    process.exit(1);
+  }
+
+  // Start health server
+  startHealthServer();
+
+  console.log('Testing X.com credentials...');
+  const credentialsValid = await testCredentials();
+  if (!credentialsValid) {
+    console.error('Failed to authenticate with X.com. Please check your credentials.');
+    // Don't exit - continue running for health checks
+    console.log('Bot will retry posting when credentials are fixed.');
+  }
+
+  const schedule = process.env.CRON_SCHEDULE || '0 */6 * * *';
+  console.log(`\nSetting up cron job with schedule: ${schedule}`);
+
+  // Log heartbeat every hour
+  cron.schedule('0 * * * *', () => {
+    console.log(`[Heartbeat] ${new Date().toISOString()} - Bot is alive`);
+  });
+
+  // Main posting schedule
+  cron.schedule(schedule, async () => {
+    console.log('\nCron job triggered');
+    const result = await processAndPost();
+    if (result.success) {
+      updateLastPost();
+    }
+  });
+
+  console.log('Cron job scheduled successfully');
+  console.log('Bot is running. Press Ctrl+C to stop.\n');
+  setRunning(true);
+
+  // Run initial post if credentials are valid
+  if (credentialsValid) {
+    const result = await processAndPost();
+    if (result.success) {
+      updateLastPost();
+    }
+  }
+}
+
+const args = process.argv.slice(2);
+if (args.includes('--once')) {
+  runOnce();
+} else if (args.includes('--test')) {
+  validateCredentials();
+  testCredentials().then(valid => {
+    console.log('Credentials test:', valid ? 'PASSED' : 'FAILED');
+    process.exit(valid ? 0 : 1);
+  });
+} else if (args.includes('--stats')) {
+  console.log('Photo-only mode - no animation stats available');
+} else {
+  startCronJob();
+}
diff --git a/src/postToX.js b/src/postToX.js
new file mode 100644
index 0000000..23bdfbe
--- /dev/null
+++ b/src/postToX.js
@@ -0,0 +1,222 @@
+import { TwitterApi } from 'twitter-api-v2';
+import fs from 'fs';
+import path from 'path';
+import { fileURLToPath } from 'url';
+import dotenv from 'dotenv';
+import { sendPostNotification } from './sendEmail.js';
+
+dotenv.config();
+
+const __filename = fileURLToPath(import.meta.url);
+const __dirname = path.dirname(__filename);
+
+// Rotating intro phrases
+const INTRO_PHRASES = [
+  'Public Domain Image of the Day',
+  'Art Spotlight',
+  'Masterpiece of the Day',
+  'From the Archives',
+  'Classical Art Feature',
+  'Timeless Beauty',
+  'Art History Moment',
+  'Museum Treasure'
+];
+
+// Art period hashtags
+function getArtHashtags(metadata) {
+  const hashtags = ['#PublicDomain', '#Art'];
+  const title = (metadata.title || '').toLowerCase();
+  const artist = (metadata.artist || '').toLowerCase();
+  const year = parseInt(metadata.year) || 0;
+
+  // Period-based hashtags
+  if (year < 1500) hashtags.push('#Medieval', '#Renaissance');
+  else if (year < 1700) hashtags.push('#Baroque');
+  else if (year < 1800) hashtags.push('#Neoclassical');
+  else if (year < 1870) hashtags.push('#Romanticism');
+  else if (year < 1910) hashtags.push('#Impressionism');
+  else if (year < 1950) hashtags.push('#ModernArt');
+
+  // Artist-based hashtags
+  if (artist.includes('van gogh')) hashtags.push('#VanGogh');
+  if (artist.includes('rembrandt')) hashtags.push('#Rembrandt');
+  if (artist.includes('vermeer')) hashtags.push('#Vermeer');
+  if (artist.includes('monet')) hashtags.push('#Monet');
+
+  // Subject-based hashtags
+  if (title.includes('portrait')) hashtags.push('#Portrait');
+  if (title.includes('landscape')) hashtags.push('#Landscape');
+  if (title.includes('still life') || title.includes('flower') || title.includes('sunflower')) hashtags.push('#StillLife');
+
+  // Museum hashtag
+  if (metadata.museum?.includes('Met')) hashtags.push('#MetMuseum');
+  if (metadata.museum?.includes('Rijks')) hashtags.push('#Rijksmuseum');
+  if (metadata.museum?.includes('Chicago')) hashtags.push('#ArtInstituteChicago');
+
+  return hashtags.slice(0, 5).join(' '); // Max 5 hashtags
+}
+
+function generateTweetText(metadata) {
+  const intro = INTRO_PHRASES[Math.floor(Math.random() * INTRO_PHRASES.length)];
+  const hashtags = getArtHashtags(metadata);
+  const museum = metadata.museum || metadata.sourceMuseum || 'Public Domain';
+
+  const tweetText = `${intro}
+
+"${metadata.title}"
+${metadata.artist} (${metadata.year})
+
+${museum}
+
+${hashtags}`;
+
+  // Ensure under 280 chars
+  if (tweetText.length > 280) {
+    // Truncate title if needed
+    const shortTitle = metadata.title.length > 30
+      ? metadata.title.substring(0, 27) + '...'
+      : metadata.title;
+    return `${intro}\n\n"${shortTitle}"\n${metadata.artist}\n\n${hashtags}`;
+  }
+
+  return tweetText;
+}
+
+function generateAltText(metadata) {
+  const description = metadata.description || '';
+  const period = metadata.period || metadata.style || '';
+
+  let altText = `${metadata.title} by ${metadata.artist}, ${metadata.year}.`;
+
+  if (period) altText += ` ${period}.`;
+  if (description && description.length < 500) altText += ` ${description}`;
+
+  // Twitter alt text max is 1000 chars
+  return altText.substring(0, 1000);
+}
+
+export async function postToX(animationResult) {
+  try {
+    if (!process.env.TWITTER_API_KEY || !process.env.TWITTER_ACCESS_TOKEN) {
+      throw new Error('Twitter API credentials not configured');
+    }
+
+    const client = new TwitterApi({
+      appKey: process.env.TWITTER_API_KEY,
+      appSecret: process.env.TWITTER_API_SECRET,
+      accessToken: process.env.TWITTER_ACCESS_TOKEN,
+      accessSecret: process.env.TWITTER_ACCESS_SECRET,
+    });
+
+    const metadata = animationResult.artworkMetadata;
+    // Use animated video/image if available, otherwise use original
+    const mediaPath = animationResult.animatedVideo || animationResult.animatedImage || animationResult.originalImage;
+
+    if (!fs.existsSync(mediaPath)) {
+      throw new Error(`Media file not found: ${mediaPath}`);
+    }
+
+    const tweetText = generateTweetText(metadata);
+
+    try {
+      console.log(`Uploading media: ${path.basename(mediaPath)}`);
+      const mediaId = await client.v1.uploadMedia(mediaPath);
+
+      // Add alt text for accessibility
+      const altText = generateAltText(metadata);
+      try {
+        await client.v1.createMediaMetadata(mediaId, { alt_text: { text: altText } });
+        console.log('Alt text added for accessibility');
+      } catch (altError) {
+        console.log('Could not add alt text:', altError.message);
+      }
+
+      const tweet = await client.v2.tweet({
+        text: tweetText,
+        media: {
+          media_ids: [mediaId]
+        }
+      });
+
+      console.log('Posted to X.com successfully!');
+      console.log(`Tweet ID: ${tweet.data.id}`);
+      console.log(`Tweet text: ${tweetText}`);
+
+      await sendPostNotification(tweetText, metadata, mediaPath);
+
+      const logEntry = {
+        timestamp: new Date().toISOString(),
+        tweetId: tweet.data.id,
+        tweetText: tweetText,
+        artwork: metadata,
+        mediaPath: mediaPath
+      };
+
+      const logsDir = path.join(__dirname, '..', 'logs');
+      if (!fs.existsSync(logsDir)) {
+        fs.mkdirSync(logsDir, { recursive: true });
+      }
+
+      const logFile = path.join(logsDir, 'posts.log');
+      fs.appendFileSync(logFile, JSON.stringify(logEntry) + '\n');
+
+      return tweet;
+
+    } catch (uploadError) {
+      console.error('Media upload failed:', uploadError.message);
+      if (uploadError.data) {
+        console.error('Error details:', uploadError.data);
+      }
+      console.log('Falling back to text-only tweet...');
+
+      const textOnlyTweet = await client.v2.tweet({
+        text: tweetText
+      });
+
+      console.log('Posted text-only tweet to X.com');
+      console.log(`Tweet ID: ${textOnlyTweet.data.id}`);
+
+      await sendPostNotification(tweetText, metadata, null);
+
+      return textOnlyTweet;
+    }
+
+  } catch (error) {
+    console.error('Error posting to X.com:', error.message);
+
+    if (error.code === 401) {
+      console.error('Authentication failed. Please check your Twitter API credentials.');
+    } else if (error.code === 403) {
+      console.error('Permission denied. Your app may need Elevated access for media upload.');
+      console.error('Apply for Elevated access at: https://developer.twitter.com/en/portal/products/elevated');
+    }
+
+    throw error;
+  }
+}
+
+export async function testCredentials() {
+  try {
+    const client = new TwitterApi({
+      appKey: process.env.TWITTER_API_KEY,
+      appSecret: process.env.TWITTER_API_SECRET,
+      accessToken: process.env.TWITTER_ACCESS_TOKEN,
+      accessSecret: process.env.TWITTER_ACCESS_SECRET,
+    });
+
+    const user = await client.v2.me();
+    console.log('Connected to X.com as:', user.data.username);
+
+    try {
+      const limits = await client.v2.rateLimitStatus();
+      console.log('API access level verified');
+    } catch (e) {
+      console.log('Note: App may need Elevated access for media uploads');
+    }
+
+    return true;
+  } catch (error) {
+    console.error('Failed to connect to X.com:', error.message);
+    return false;
+  }
+}
\ No newline at end of file
diff --git a/src/runOvernight.js b/src/runOvernight.js
new file mode 100644
index 0000000..b2ccaf7
--- /dev/null
+++ b/src/runOvernight.js
@@ -0,0 +1,54 @@
+import { generateScheduledContent } from './contentGenerator.js';
+import { startPostingLoop } from './scheduledPoster.js';
+import { startDashboard } from './webDashboard.js';
+import { initDatabase } from './database.js';
+import { verifyVideo } from './verifyVideo.js';
+import { fileURLToPath } from 'url';
+
+const __filename = fileURLToPath(import.meta.url);
+
+/**
+ * Run the overnight museum art bot
+ * 1. Generate content for next 12 hours
+ * 2. Start poster loop
+ * 3. Dashboard runs separately
+ */
+async function runOvernight() {
+  console.log('='.repeat(60));
+  console.log('MUSEUM ART BOT - OVERNIGHT MODE');
+  console.log('='.repeat(60));
+  console.log(`Started: ${new Date().toISOString()}`);
+  console.log('');
+
+  await initDatabase();
+
+  // Generate content for 12 hours (36 posts at 20 min intervals)
+  const hoursAhead = parseInt(process.argv[2]) || 12;
+  console.log(`Generating ${hoursAhead} hours of content...`);
+  console.log('');
+
+  try {
+    await generateScheduledContent(hoursAhead);
+  } catch (err) {
+    console.error('Content generation error:', err.message);
+  }
+
+  console.log('');
+  console.log('='.repeat(60));
+  console.log('Content generation complete. Starting poster loop...');
+  console.log('='.repeat(60));
+  console.log('');
+
+  // Start posting loop (checks every 60 seconds)
+  startPostingLoop(60000);
+
+  console.log('');
+  console.log('Bot is running. Posts every 20 minutes.');
+  console.log('Dashboard: http://45.61.58.125:7890');
+  console.log('');
+  console.log('Press Ctrl+C to stop.');
+}
+
+if (process.argv[1] === fileURLToPath(import.meta.url)) {
+  runOvernight().catch(console.error);
+}
diff --git a/src/scheduledPoster.js b/src/scheduledPoster.js
new file mode 100644
index 0000000..de781a7
--- /dev/null
+++ b/src/scheduledPoster.js
@@ -0,0 +1,76 @@
+import { getPendingPosts, markAsPosted, markAsFailed, isPaused } from './database.js';
+import { postToX } from './postToX.js';
+import fs from 'fs';
+import { fileURLToPath } from 'url';
+
+/**
+ * Check for and post any pending scheduled posts
+ */
+export async function checkAndPost() {
+  if (isPaused()) {
+    console.log('Posting is paused');
+    return;
+  }
+
+  const pendingPosts = await getPendingPosts();
+
+  if (pendingPosts.length === 0) {
+    console.log('No posts ready to be posted');
+    return;
+  }
+
+  console.log(`Found ${pendingPosts.length} post(s) ready to post`);
+
+  for (const post of pendingPosts) {
+    console.log(`\nPosting: ${post.title} by ${post.artist}`);
+
+    try {
+      if (!fs.existsSync(post.video_path)) {
+        throw new Error(`Video file not found: ${post.video_path}`);
+      }
+
+      const animationResult = {
+        animatedVideo: post.video_path,
+        artworkMetadata: {
+          title: post.title,
+          artist: post.artist,
+          year: post.year,
+          museum: post.museum
+        },
+        isAnimated: true
+      };
+
+      const result = await postToX(animationResult);
+      const tweetId = result.data.id;
+      const tweetUrl = `https://twitter.com/goodquestionai/status/${tweetId}`;
+
+      await markAsPosted(post.id, tweetId, tweetUrl);
+      console.log(`  Posted successfully! ${tweetUrl}`);
+
+    } catch (err) {
+      console.error(`  Failed: ${err.message}`);
+      await markAsFailed(post.id, err.message);
+    }
+  }
+}
+
+/**
+ * Start the posting loop (checks every minute)
+ */
+export function startPostingLoop(intervalMs = 60000) {
+  console.log('Starting scheduled poster loop...');
+  console.log(`Checking every ${intervalMs / 1000} seconds`);
+
+  // Check immediately
+  checkAndPost().catch(console.error);
+
+  // Then check on interval
+  setInterval(() => {
+    checkAndPost().catch(console.error);
+  }, intervalMs);
+}
+
+// Run if called directly
+if (process.argv[1] === fileURLToPath(import.meta.url)) {
+  startPostingLoop();
+}
diff --git a/src/sendEmail.js b/src/sendEmail.js
new file mode 100644
index 0000000..057772c
--- /dev/null
+++ b/src/sendEmail.js
@@ -0,0 +1,55 @@
+import nodemailer from 'nodemailer';
+import dotenv from 'dotenv';
+
+dotenv.config();
+
+export async function sendPostNotification(tweetText, metadata, mediaPath) {
+  try {
+    if (!process.env.EMAIL_HOST || !process.env.EMAIL_USER || !process.env.EMAIL_PASS) {
+      console.log('Email credentials not configured, skipping email notification');
+      return;
+    }
+
+    const transporter = nodemailer.createTransport({
+      host: process.env.EMAIL_HOST,
+      port: process.env.EMAIL_PORT || 587,
+      secure: process.env.EMAIL_SECURE === 'true',
+      auth: {
+        user: process.env.EMAIL_USER,
+        pass: process.env.EMAIL_PASS,
+      },
+    });
+
+    const mailOptions = {
+      from: process.env.EMAIL_FROM || process.env.EMAIL_USER,
+      to: 'steve@designerwallcoverings.com',
+      subject: `Posted: ${metadata.title}`,
+      text: tweetText,
+      html: `
+        <div style="font-family: Arial, sans-serif; max-width: 600px;">
+          <h2>New Post Published</h2>
+          <p><strong>Tweet:</strong></p>
+          <pre style="background: #f5f5f5; padding: 15px; border-radius: 5px;">${tweetText}</pre>
+          <hr>
+          <p><strong>Artwork Details:</strong></p>
+          <ul>
+            <li><strong>Title:</strong> ${metadata.title}</li>
+            <li><strong>Artist:</strong> ${metadata.artist}</li>
+            <li><strong>Year:</strong> ${metadata.year}</li>
+            <li><strong>Credit:</strong> ${metadata.creditLine}</li>
+          </ul>
+        </div>
+      `,
+      attachments: mediaPath ? [{
+        filename: mediaPath.split('/').pop(),
+        path: mediaPath
+      }] : []
+    };
+
+    await transporter.sendMail(mailOptions);
+    console.log('Email notification sent to steve@designerwallcoverings.com');
+
+  } catch (error) {
+    console.error('Error sending email:', error.message);
+  }
+}
\ No newline at end of file
diff --git a/src/slackNotify.js b/src/slackNotify.js
new file mode 100644
index 0000000..6d3112b
--- /dev/null
+++ b/src/slackNotify.js
@@ -0,0 +1,126 @@
+import https from 'https';
+import dotenv from 'dotenv';
+
+dotenv.config();
+
+const WEBHOOK_URL = process.env.SLACK_WEBHOOK_URL;
+
+async function sendSlackMessage(message) {
+  if (!WEBHOOK_URL) {
+    console.log('[Slack] No webhook configured, skipping notification');
+    return false;
+  }
+
+  return new Promise((resolve, reject) => {
+    try {
+      const url = new URL(WEBHOOK_URL);
+      const payload = JSON.stringify(message);
+
+      const options = {
+        hostname: url.hostname,
+        path: url.pathname,
+        method: 'POST',
+        headers: {
+          'Content-Type': 'application/json',
+          'Content-Length': Buffer.byteLength(payload)
+        }
+      };
+
+      const req = https.request(options, (res) => {
+        if (res.statusCode === 200) {
+          resolve(true);
+        } else {
+          console.log('[Slack] Webhook returned:', res.statusCode);
+          resolve(false);
+        }
+      });
+
+      req.on('error', (error) => {
+        console.log('[Slack] Error:', error.message);
+        resolve(false);
+      });
+
+      req.write(payload);
+      req.end();
+    } catch (error) {
+      console.log('[Slack] Error:', error.message);
+      resolve(false);
+    }
+  });
+}
+
+export async function notifySuccess(artwork, tweetId) {
+  const message = {
+    blocks: [
+      {
+        type: 'header',
+        text: {
+          type: 'plain_text',
+          text: 'Museum Art Bot Posted!'
+        }
+      },
+      {
+        type: 'section',
+        text: {
+          type: 'mrkdwn',
+          text: `*${artwork.title}*\nby ${artwork.artist} (${artwork.year})\n\nSource: ${artwork.museum || artwork.sourceMuseum || 'Public Domain'}`
+        }
+      },
+      {
+        type: 'section',
+        text: {
+          type: 'mrkdwn',
+          text: `<https://twitter.com/goodquestionai/status/${tweetId}|View Tweet>`
+        }
+      }
+    ]
+  };
+
+  return sendSlackMessage(message);
+}
+
+export async function notifyError(error, context = '') {
+  const message = {
+    blocks: [
+      {
+        type: 'header',
+        text: {
+          type: 'plain_text',
+          text: 'Museum Art Bot Error'
+        }
+      },
+      {
+        type: 'section',
+        text: {
+          type: 'mrkdwn',
+          text: `*Error:* ${error}\n*Context:* ${context || 'Unknown'}\n*Time:* ${new Date().toISOString()}`
+        }
+      }
+    ]
+  };
+
+  return sendSlackMessage(message);
+}
+
+export async function notifyDailySummary(stats) {
+  const message = {
+    blocks: [
+      {
+        type: 'header',
+        text: {
+          type: 'plain_text',
+          text: 'Museum Art Bot - Daily Summary'
+        }
+      },
+      {
+        type: 'section',
+        text: {
+          type: 'mrkdwn',
+          text: `*Posts Today:* ${stats.postsToday}\n*Errors:* ${stats.errorsToday}\n*Uptime:* ${stats.uptime}`
+        }
+      }
+    ]
+  };
+
+  return sendSlackMessage(message);
+}
diff --git a/src/utils/retry.js b/src/utils/retry.js
new file mode 100644
index 0000000..5dd4d5c
--- /dev/null
+++ b/src/utils/retry.js
@@ -0,0 +1,72 @@
+/**
+ * Retry utility with exponential backoff
+ */
+
+export async function withRetry(fn, options = {}) {
+  const {
+    maxRetries = 3,
+    initialDelay = 1000,
+    maxDelay = 30000,
+    backoffFactor = 2,
+    onRetry = null
+  } = options;
+
+  let lastError;
+  let delay = initialDelay;
+
+  for (let attempt = 1; attempt <= maxRetries; attempt++) {
+    try {
+      return await fn();
+    } catch (error) {
+      lastError = error;
+
+      if (attempt === maxRetries) {
+        break;
+      }
+
+      console.log(`Attempt ${attempt}/${maxRetries} failed: ${error.message}`);
+      console.log(`Retrying in ${delay}ms...`);
+
+      if (onRetry) {
+        onRetry(error, attempt, delay);
+      }
+
+      await sleep(delay);
+
+      // Exponential backoff with max cap
+      delay = Math.min(delay * backoffFactor, maxDelay);
+    }
+  }
+
+  throw lastError;
+}
+
+function sleep(ms) {
+  return new Promise(resolve => setTimeout(resolve, ms));
+}
+
+/**
+ * Wrap an async function to never throw - returns null on error
+ */
+export function safeCall(fn, fallback = null) {
+  return async (...args) => {
+    try {
+      return await fn(...args);
+    } catch (error) {
+      console.error(`Safe call failed: ${error.message}`);
+      return fallback;
+    }
+  };
+}
+
+/**
+ * Wrap with timeout
+ */
+export function withTimeout(promise, ms, message = 'Timeout') {
+  return Promise.race([
+    promise,
+    new Promise((_, reject) =>
+      setTimeout(() => reject(new Error(message)), ms)
+    )
+  ]);
+}
diff --git a/src/validateCredentials.js b/src/validateCredentials.js
new file mode 100644
index 0000000..0d67540
--- /dev/null
+++ b/src/validateCredentials.js
@@ -0,0 +1,82 @@
+import dotenv from 'dotenv';
+dotenv.config();
+
+const colors = {
+  green: '\x1b[32m',
+  red: '\x1b[31m',
+  yellow: '\x1b[33m',
+  reset: '\x1b[0m'
+};
+
+export function validateCredentials() {
+  console.log('\n=== Credential Validation ===\n');
+
+  let hasErrors = false;
+  let warnings = [];
+
+  // Required: Twitter credentials
+  const twitterKeys = [
+    'TWITTER_API_KEY',
+    'TWITTER_API_SECRET',
+    'TWITTER_ACCESS_TOKEN',
+    'TWITTER_ACCESS_SECRET'
+  ];
+
+  for (const key of twitterKeys) {
+    if (!process.env[key]) {
+      console.log(`${colors.red}[MISSING]${colors.reset} ${key} - REQUIRED`);
+      hasErrors = true;
+    } else {
+      console.log(`${colors.green}[OK]${colors.reset} ${key}`);
+    }
+  }
+
+  // Optional: Animation services
+  const optionalKeys = [
+    { key: 'REPLICATE_API_TOKEN', name: 'Replicate (AI Video)' },
+    { key: 'HUGGINGFACE_TOKEN', name: 'HuggingFace (Free AI)' },
+    { key: 'RUNWAY_API_TOKEN', name: 'Runway ML (Premium AI)' },
+    { key: 'GROK_API_KEY', name: 'Grok API' }
+  ];
+
+  console.log('\n--- Optional Animation Services ---');
+  for (const { key, name } of optionalKeys) {
+    if (!process.env[key]) {
+      console.log(`${colors.yellow}[SKIP]${colors.reset} ${key} - ${name} not configured`);
+      warnings.push(`${name} not available`);
+    } else {
+      console.log(`${colors.green}[OK]${colors.reset} ${key} - ${name}`);
+    }
+  }
+
+  // Optional: Museum APIs
+  console.log('\n--- Optional Museum APIs ---');
+  if (!process.env.RIJKSMUSEUM_API_KEY || process.env.RIJKSMUSEUM_API_KEY === '0') {
+    console.log(`${colors.yellow}[SKIP]${colors.reset} RIJKSMUSEUM_API_KEY - Using hardcoded artworks`);
+    warnings.push('Rijksmuseum API not configured - using fallback');
+  } else {
+    console.log(`${colors.green}[OK]${colors.reset} RIJKSMUSEUM_API_KEY`);
+  }
+
+  // Summary
+  console.log('\n=== Summary ===');
+  if (hasErrors) {
+    console.log(`${colors.red}FAILED: Missing required Twitter credentials${colors.reset}`);
+    console.log('Get credentials at: https://developer.twitter.com/');
+    return false;
+  }
+
+  if (warnings.length > 0) {
+    console.log(`${colors.yellow}WARNINGS:${colors.reset}`);
+    warnings.forEach(w => console.log(`  - ${w}`));
+  }
+
+  console.log(`${colors.green}PASSED: All required credentials present${colors.reset}\n`);
+  return true;
+}
+
+// Run if called directly
+if (process.argv[1].includes('validateCredentials')) {
+  const valid = validateCredentials();
+  process.exit(valid ? 0 : 1);
+}
diff --git a/src/verifyVideo.js b/src/verifyVideo.js
new file mode 100644
index 0000000..f88caf3
--- /dev/null
+++ b/src/verifyVideo.js
@@ -0,0 +1,152 @@
+import { execSync } from 'child_process';
+import fs from 'fs';
+import path from 'path';
+import { fileURLToPath } from 'url';
+
+const __filename = fileURLToPath(import.meta.url);
+const __dirname = path.dirname(__filename);
+const VERIFICATION_DIR = path.join(__dirname, '..', 'verification');
+
+// Ensure verification directory exists
+if (!fs.existsSync(VERIFICATION_DIR)) fs.mkdirSync(VERIFICATION_DIR, { recursive: true });
+
+/**
+ * Verify video has actual motion/animation
+ * Returns motion score and verification result
+ */
+export async function verifyVideoMotion(videoPath) {
+  console.log(`Verifying video motion: ${path.basename(videoPath)}`);
+
+  if (!fs.existsSync(videoPath)) {
+    return { verified: false, error: 'Video file not found', motionScore: 0 };
+  }
+
+  const timestamp = Date.now();
+  const framesDir = path.join(VERIFICATION_DIR, `frames_${timestamp}`);
+  fs.mkdirSync(framesDir, { recursive: true });
+
+  try {
+    // Extract frames at different timestamps
+    const frameCount = 5;
+    for (let i = 0; i < frameCount; i++) {
+      const time = (i + 1) * 0.5; // Extract at 0.5s, 1s, 1.5s, 2s, 2.5s
+      execSync(`ffmpeg -y -ss ${time} -i "${videoPath}" -vframes 1 "${framesDir}/frame_${i}.jpg" 2>/dev/null`, { stdio: 'pipe' });
+    }
+
+    // Compare consecutive frames using ImageMagick
+    let totalDiff = 0;
+    let comparisons = 0;
+
+    for (let i = 0; i < frameCount - 1; i++) {
+      const frame1 = `${framesDir}/frame_${i}.jpg`;
+      const frame2 = `${framesDir}/frame_${i + 1}.jpg`;
+
+      if (fs.existsSync(frame1) && fs.existsSync(frame2)) {
+        try {
+          // Get difference percentage using ImageMagick compare
+          const result = execSync(`compare -metric RMSE "${frame1}" "${frame2}" null: 2>&1 || true`, { encoding: 'utf8' });
+          const match = result.match(/\(([\d.]+)\)/);
+          if (match) {
+            totalDiff += parseFloat(match[1]) * 100;
+            comparisons++;
+          }
+        } catch (e) {
+          // ImageMagick returns non-zero exit on diff, parse output anyway
+          const match = e.stdout?.toString().match(/\(([\d.]+)\)/) || e.message.match(/\(([\d.]+)\)/);
+          if (match) {
+            totalDiff += parseFloat(match[1]) * 100;
+            comparisons++;
+          }
+        }
+      }
+    }
+
+    // Cleanup frames
+    fs.rmSync(framesDir, { recursive: true, force: true });
+
+    const avgDiff = comparisons > 0 ? totalDiff / comparisons : 0;
+
+    // Motion thresholds:
+    // < 1%: No motion (static image)
+    // 1-5%: Subtle motion (panning/zoom only)
+    // 5-15%: Moderate motion (good animation)
+    // > 15%: High motion (morphing/dramatic changes)
+
+    const verified = avgDiff > 3; // At least 3% difference = animation present
+    const motionLevel = avgDiff < 1 ? 'none' : avgDiff < 5 ? 'subtle' : avgDiff < 15 ? 'moderate' : 'high';
+
+    console.log(`  Motion score: ${avgDiff.toFixed(2)}% (${motionLevel})`);
+
+    return {
+      verified,
+      motionScore: avgDiff,
+      motionLevel,
+      message: verified
+        ? `Video has ${motionLevel} motion (${avgDiff.toFixed(1)}% frame difference)`
+        : `Video appears static or has minimal motion (${avgDiff.toFixed(1)}% frame difference)`
+    };
+
+  } catch (error) {
+    // Cleanup on error
+    try { fs.rmSync(framesDir, { recursive: true, force: true }); } catch (e) {}
+
+    console.error(`  Verification error: ${error.message}`);
+    return { verified: false, error: error.message, motionScore: 0 };
+  }
+}
+
+/**
+ * Verify video duration is within expected range
+ */
+export function verifyVideoDuration(videoPath, minSeconds = 8, maxSeconds = 20) {
+  try {
+    const result = execSync(`ffprobe -v error -show_entries format=duration -of csv=p=0 "${videoPath}"`, { encoding: 'utf8' });
+    const duration = parseFloat(result.trim());
+
+    const verified = duration >= minSeconds && duration <= maxSeconds;
+
+    return {
+      verified,
+      duration,
+      message: verified
+        ? `Duration OK: ${duration.toFixed(1)}s`
+        : `Duration out of range: ${duration.toFixed(1)}s (expected ${minSeconds}-${maxSeconds}s)`
+    };
+  } catch (error) {
+    return { verified: false, duration: 0, error: error.message };
+  }
+}
+
+/**
+ * Full video verification
+ */
+export async function verifyVideo(videoPath) {
+  console.log(`\n=== Verifying: ${path.basename(videoPath)} ===`);
+
+  const motionResult = await verifyVideoMotion(videoPath);
+  const durationResult = verifyVideoDuration(videoPath);
+
+  const allVerified = motionResult.verified && durationResult.verified;
+
+  console.log(`  Motion: ${motionResult.message}`);
+  console.log(`  Duration: ${durationResult.message}`);
+  console.log(`  Overall: ${allVerified ? 'VERIFIED' : 'FAILED'}`);
+
+  return {
+    verified: allVerified,
+    motion: motionResult,
+    duration: durationResult
+  };
+}
+
+// Test if run directly
+if (process.argv[1] === fileURLToPath(import.meta.url)) {
+  const testVideo = process.argv[2];
+  if (testVideo) {
+    verifyVideo(testVideo)
+      .then(r => console.log('\nResult:', JSON.stringify(r, null, 2)))
+      .catch(e => console.error('Error:', e));
+  } else {
+    console.log('Usage: node verifyVideo.js <video-path>');
+  }
+}
diff --git a/src/webDashboard.js b/src/webDashboard.js
new file mode 100644
index 0000000..ecdb5ef
--- /dev/null
+++ b/src/webDashboard.js
@@ -0,0 +1,303 @@
+import express from 'express';
+import helmet from 'helmet';
+import fs from 'fs';
+import path from 'path';
+import { fileURLToPath } from 'url';
+import dotenv from 'dotenv';
+import { getAllPosts, getUpcomingPosts, deletePost, initDatabase, getPostById, updatePost, addScheduledPost } from './database.js';
+import { FAMOUS_PAINTINGS } from './artworks.js';
+
+dotenv.config();
+
+const __filename = fileURLToPath(import.meta.url);
+const __dirname = path.dirname(__filename);
+
+const app = express();
+// Security headers via helmet (added 2026-05-04 overnight YOLO loop)
+app.use(helmet({ contentSecurityPolicy: false }));
+const PORT = process.env.DASHBOARD_PORT || 7890;
+
+app.use(express.json());
+app.use('/output', express.static(path.join(__dirname, '..', 'output')));
+
+// Dashboard HTML
+const dashboardHTML = `
+<!DOCTYPE html>
+<html>
+<head>
+  <title>Museum Art Bot - Scheduled Posts</title>
+  <meta name="viewport" content="width=device-width, initial-scale=1">
+  <style>
+    * { box-sizing: border-box; margin: 0; padding: 0; }
+    body { font-family: -apple-system, BlinkMacSystemFont, 'Segoe UI', Roboto, sans-serif; background: #1a1a2e; color: #eee; padding: 20px; }
+    h1 { text-align: center; margin-bottom: 30px; color: #00d4ff; }
+    .stats { display: flex; justify-content: center; gap: 30px; margin-bottom: 30px; }
+    .stat { background: #16213e; padding: 20px 40px; border-radius: 10px; text-align: center; }
+    .stat-number { font-size: 36px; font-weight: bold; color: #00d4ff; }
+    .stat-label { color: #888; margin-top: 5px; }
+    .posts { display: grid; grid-template-columns: repeat(auto-fill, minmax(300px, 1fr)); gap: 20px; }
+    .post { background: #16213e; border-radius: 10px; overflow: hidden; position: relative; }
+    .post.posted { opacity: 0.6; }
+    .post.failed { border: 2px solid #ff4444; }
+    .post video, .post img { width: 100%; height: 180px; object-fit: cover; }
+    .post-info { padding: 15px; }
+    .post-title { font-size: 16px; font-weight: bold; margin-bottom: 5px; }
+    .post-artist { color: #888; font-size: 14px; margin-bottom: 10px; }
+    .post-time { color: #00d4ff; font-size: 13px; }
+    .post-status { position: absolute; top: 10px; right: 10px; padding: 4px 10px; border-radius: 20px; font-size: 12px; font-weight: bold; }
+    .status-pending { background: #ffd700; color: #000; }
+    .status-posted { background: #00cc66; color: #fff; }
+    .status-failed { background: #ff4444; color: #fff; }
+    .delete-btn { background: #ff4444; color: #fff; border: none; padding: 8px 16px; border-radius: 5px; cursor: pointer; margin-top: 10px; width: 100%; }
+    .delete-btn:hover { background: #cc0000; }
+    .refresh-btn { position: fixed; bottom: 20px; right: 20px; background: #00d4ff; color: #000; border: none; padding: 15px 30px; border-radius: 30px; cursor: pointer; font-size: 16px; font-weight: bold; }
+    .tweet-link { color: #00d4ff; text-decoration: none; display: block; margin-top: 10px; }
+    .countdown { color: #ffd700; font-size: 12px; margin-top: 5px; }
+    .controls { display: flex; justify-content: center; gap: 15px; margin-bottom: 30px; }
+    .control-btn { padding: 12px 24px; border: none; border-radius: 8px; cursor: pointer; font-size: 14px; font-weight: bold; }
+    .pause-btn { background: #ffd700; color: #000; }
+    .resume-btn { background: #00cc66; color: #fff; }
+    .edit-btn { background: #00d4ff; color: #000; border: none; padding: 6px 12px; border-radius: 5px; cursor: pointer; margin-top: 5px; width: 100%; font-size: 12px; }
+    .status-badge { padding: 4px 12px; border-radius: 15px; font-size: 12px; margin-left: 10px; }
+    .status-badge.active { background: #00cc66; color: #fff; }
+    .status-badge.paused { background: #ffd700; color: #000; }
+  </style>
+</head>
+<body>
+  <h1>🎨 Museum Art Bot - Scheduled Posts <span id="status-badge" class="status-badge active">ACTIVE</span></h1>
+
+  <div class="controls">
+    <button id="pause-btn" class="control-btn pause-btn" onclick="togglePause()">Pause Posting</button>
+  </div>
+
+  <div class="stats">
+    <div class="stat">
+      <div class="stat-number" id="pending-count">-</div>
+      <div class="stat-label">Pending</div>
+    </div>
+    <div class="stat">
+      <div class="stat-number" id="posted-count">-</div>
+      <div class="stat-label">Posted</div>
+    </div>
+    <div class="stat">
+      <div class="stat-number" id="failed-count">-</div>
+      <div class="stat-label">Failed</div>
+    </div>
+  </div>
+
+  <div class="posts" id="posts-container"></div>
+
+  <button class="refresh-btn" onclick="loadPosts()">🔄 Refresh</button>
+
+  <script>
+    async function loadPosts() {
+      const res = await fetch('/api/posts');
+      const posts = await res.json();
+
+      const pending = posts.filter(p => p.status === 'pending').length;
+      const posted = posts.filter(p => p.status === 'posted').length;
+      const failed = posts.filter(p => p.status === 'failed').length;
+
+      document.getElementById('pending-count').textContent = pending;
+      document.getElementById('posted-count').textContent = posted;
+      document.getElementById('failed-count').textContent = failed;
+
+      const container = document.getElementById('posts-container');
+      container.innerHTML = posts.map(post => {
+        const scheduledTime = new Date(post.scheduled_time);
+        const now = new Date();
+        const diff = scheduledTime - now;
+        const minutes = Math.floor(diff / 60000);
+        const countdown = diff > 0 ? (minutes > 60 ? Math.floor(minutes/60) + 'h ' + (minutes%60) + 'm' : minutes + ' min') : 'Now';
+
+        const videoUrl = post.video_path.replace('/root/Projects/animate-museum-posts/', '/');
+        const thumbUrl = post.thumbnail_path ? post.thumbnail_path.replace('/root/Projects/animate-museum-posts/', '/') : videoUrl;
+
+        return \`
+          <div class="post \${post.status}">
+            <video src="\${videoUrl}" muted loop onmouseenter="this.play()" onmouseleave="this.pause()"></video>
+            <span class="post-status status-\${post.status}">\${post.status.toUpperCase()}</span>
+            <div class="post-info">
+              <div class="post-title">\${post.title}</div>
+              <div class="post-artist">\${post.artist} (\${post.year})</div>
+              <div class="post-time">📅 \${scheduledTime.toLocaleString()}</div>
+              \${post.status === 'pending' ? \`<div class="countdown">⏱️ In \${countdown}</div>\` : ''}
+              \${post.tweet_url ? \`<a href="\${post.tweet_url}" target="_blank" class="tweet-link">View Tweet →</a>\` : ''}
+              \${post.status === 'pending' ? \`<button class="edit-btn" onclick="reschedulePost(\${post.id})">📅 Reschedule</button>\` : ''}
+              \${post.status === 'pending' ? \`<button class="delete-btn" onclick="deletePost(\${post.id})">🗑️ Delete</button>\` : ''}
+            </div>
+          </div>
+        \`;
+      }).join('');
+    }
+
+    async function deletePost(id) {
+      if (!confirm('Delete this scheduled post?')) return;
+      await fetch('/api/posts/' + id, { method: 'DELETE' });
+      loadPosts();
+    }
+
+    let isPaused = false;
+
+    async function loadStatus() {
+      const res = await fetch('/api/status');
+      const status = await res.json();
+      isPaused = status.paused;
+      updatePauseButton();
+    }
+
+    function updatePauseButton() {
+      const btn = document.getElementById('pause-btn');
+      const badge = document.getElementById('status-badge');
+      if (isPaused) {
+        btn.textContent = 'Resume Posting';
+        btn.className = 'control-btn resume-btn';
+        badge.textContent = 'PAUSED';
+        badge.className = 'status-badge paused';
+      } else {
+        btn.textContent = 'Pause Posting';
+        btn.className = 'control-btn pause-btn';
+        badge.textContent = 'ACTIVE';
+        badge.className = 'status-badge active';
+      }
+    }
+
+    async function togglePause() {
+      const endpoint = isPaused ? '/api/resume' : '/api/pause';
+      await fetch(endpoint, { method: 'POST' });
+      isPaused = !isPaused;
+      updatePauseButton();
+    }
+
+    async function reschedulePost(id) {
+      const newTime = prompt('Enter new time (ISO format or minutes from now):', '30');
+      if (!newTime) return;
+
+      let scheduledTime;
+      if (newTime.includes('T') || newTime.includes('-')) {
+        scheduledTime = new Date(newTime).toISOString();
+      } else {
+        const mins = parseInt(newTime);
+        scheduledTime = new Date(Date.now() + mins * 60000).toISOString();
+      }
+
+      await fetch('/api/posts/' + id, {
+        method: 'PUT',
+        headers: { 'Content-Type': 'application/json' },
+        body: JSON.stringify({ scheduledTime })
+      });
+      loadPosts();
+    }
+
+    loadPosts();
+    loadStatus();
+    setInterval(loadPosts, 30000);
+    setInterval(loadStatus, 30000);
+  </script>
+</body>
+</html>
+`;
+
+// Routes
+app.get('/', (req, res) => {
+  res.send(dashboardHTML);
+});
+
+app.get('/api/posts', async (req, res) => {
+  try {
+    const posts = await getAllPosts();
+    res.json(posts);
+  } catch (err) {
+    res.status(500).json({ error: err.message });
+  }
+});
+
+app.delete('/api/posts/:id', async (req, res) => {
+  try {
+    const post = await deletePost(req.params.id);
+    if (post) {
+      // Delete the video file
+      if (fs.existsSync(post.video_path)) {
+        fs.unlinkSync(post.video_path);
+      }
+      if (post.thumbnail_path && fs.existsSync(post.thumbnail_path)) {
+        fs.unlinkSync(post.thumbnail_path);
+      }
+      res.json({ success: true });
+    } else {
+      res.status(404).json({ error: 'Post not found' });
+    }
+  } catch (err) {
+    res.status(500).json({ error: err.message });
+  }
+});
+
+app.get('/api/posts/:id', async (req, res) => {
+  try {
+    const post = await getPostById(req.params.id);
+    if (post) {
+      res.json(post);
+    } else {
+      res.status(404).json({ error: 'Post not found' });
+    }
+  } catch (err) {
+    res.status(500).json({ error: err.message });
+  }
+});
+
+// Update post (reschedule, edit)
+app.put('/api/posts/:id', async (req, res) => {
+  try {
+    const { title, artist, scheduledTime, status } = req.body;
+    const post = await updatePost(req.params.id, { title, artist, scheduledTime, status });
+    if (post) {
+      res.json(post);
+    } else {
+      res.status(404).json({ error: 'Post not found' });
+    }
+  } catch (err) {
+    res.status(500).json({ error: err.message });
+  }
+});
+
+// Get artworks list
+app.get('/api/artworks', (req, res) => {
+  res.json(FAMOUS_PAINTINGS.map((art, i) => ({
+    id: i,
+    title: art.title,
+    artist: art.artist,
+    year: art.year,
+    museum: art.museum,
+    imageUrl: art.imageUrl
+  })));
+});
+
+// Pause/resume state
+let isPaused = false;
+
+app.get('/api/status', (req, res) => {
+  res.json({ paused: isPaused });
+});
+
+app.post('/api/pause', (req, res) => {
+  isPaused = true;
+  res.json({ paused: true });
+});
+
+app.post('/api/resume', (req, res) => {
+  isPaused = false;
+  res.json({ paused: false });
+});
+
+export function startDashboard() {
+  initDatabase().then(() => {
+    app.listen(PORT, '0.0.0.0', () => {
+      console.log(`Dashboard running at http://45.61.58.125:${PORT}`);
+    });
+  });
+}
+
+// Run if called directly
+if (process.argv[1] === fileURLToPath(import.meta.url)) {
+  startDashboard();
+}
diff --git a/tasks/prd-museum-art-bot.md b/tasks/prd-museum-art-bot.md
new file mode 100644
index 0000000..51feb44
--- /dev/null
+++ b/tasks/prd-museum-art-bot.md
@@ -0,0 +1,78 @@
+# PRD: Museum Art Animation Bot
+
+## Introduction
+Automated bot that animates 50 famous public domain artworks with AI morphing effects (cats/dogs transform, butterflies emerge) and motion effects (waves crash, stars swirl), posts to X.com @goodquestionai every 20 minutes continuously with 1s branded intro/outro.
+
+## Goals
+- 50 famous paintings rotating indefinitely every 20 mins
+- AI morphing (Kling/Minimax) with SVD motion fallback  
+- 1s intro + 1s outro GoodQuestion.AI branding
+- Full admin dashboard (view, delete, reschedule, add, edit, pause/resume)
+- PostgreSQL scheduling with video verification
+- Verify animations are ACTUALLY morphing via video recording
+
+## User Stories
+
+### US-001: 50 Famous Paintings Library
+Add array of 50 public domain paintings with title, artist, year, museum, imageUrl.
+
+### US-002: AI Morphing Animation
+Use Kling/Minimax with prompts: "pitbull morphs into cat", "butterflies emerge". Verify video shows actual transformation.
+
+### US-003: Motion Animation Fallback
+SVD with motion_bucket_id=255 when morphing fails. Verify visible motion.
+
+### US-004: 1s Branded Intro/Outro
+FFmpeg 1s intro "GoodQuestion.AI" + 1s outro "@goodquestionai"
+
+### US-005: PostgreSQL Schema
+scheduled_posts table with status, tweet_id, video_path, etc.
+
+### US-006: Content Generator
+Pre-generate all 50 videos, schedule every 20 mins rotating.
+
+### US-007: Scheduled Poster
+Check every minute, post when scheduled_time <= NOW()
+
+### US-008: Dashboard View
+Grid with thumbnails, status badges, hover preview at port 7890
+
+### US-009: Dashboard Delete
+Delete button with confirmation, removes DB + video file
+
+### US-010: Dashboard Reschedule  
+Time picker to change scheduled_time
+
+### US-011: Dashboard Add Posts
+Form to add custom artwork URL
+
+### US-012: Dashboard Edit
+Edit title/artist/year/museum
+
+### US-013: Dashboard Pause/Resume
+Global + individual post pause
+
+### US-014: Twitter Posting
+twitter-api-v2 with media upload, hashtags, alt text
+
+### US-015: Video Verification
+Record/screenshot each video to verify morphing is working
+
+## Functional Requirements
+- FR-1: 50 paintings array in src/artworks.js
+- FR-2: Morphing via Kling prompt-based animation
+- FR-3: Fallback to SVD motion_bucket_id=255
+- FR-4: 1s FFmpeg intro/outro
+- FR-5: PostgreSQL scheduled_posts table
+- FR-6: Content generator service
+- FR-7: Poster service checks every minute
+- FR-8: Express dashboard on port 7890
+- FR-9: CRUD operations on dashboard
+- FR-10: Continuous rotation, never stops
+- FR-11: Video verification system
+
+## Non-Goals
+- No auth on dashboard
+- No multi-platform
+- No audio
+- No analytics
diff --git a/test-all-services.js b/test-all-services.js
new file mode 100644
index 0000000..0a9fa1f
--- /dev/null
+++ b/test-all-services.js
@@ -0,0 +1,146 @@
+import fs from 'fs';
+import path from 'path';
+import axios from 'axios';
+import { fileURLToPath } from 'url';
+import { postToX } from './src/postToX.js';
+import { createRealAIVideo } from './src/animateWithReplicate.js';
+import { createHuggingFaceAnimation } from './src/animateWithHuggingFace.js';
+import dotenv from 'dotenv';
+
+dotenv.config();
+
+const __filename = fileURLToPath(import.meta.url);
+const __dirname = path.dirname(__filename);
+
+async function downloadSunflowers() {
+  const imageUrl = 'https://upload.wikimedia.org/wikipedia/commons/thumb/4/46/Vincent_Willem_van_Gogh_127.jpg/800px-Vincent_Willem_van_Gogh_127.jpg';
+  const response = await axios.get(imageUrl, { responseType: 'arraybuffer' });
+
+  const outputDir = path.join(__dirname, 'output');
+  if (!fs.existsSync(outputDir)) {
+    fs.mkdirSync(outputDir, { recursive: true });
+  }
+
+  const timestamp = new Date().getTime();
+  const fileName = `sunflowers_${timestamp}.jpg`;
+  const filePath = path.join(outputDir, fileName);
+
+  fs.writeFileSync(filePath, response.data);
+
+  const metadata = {
+    title: 'Sunflowers',
+    artist: 'Vincent van Gogh',
+    year: '1888',
+    description: 'Testing different animation services',
+    localPath: filePath,
+    fileName: fileName,
+    creditLine: 'Vincent van Gogh (Public Domain)',
+  };
+
+  return { filePath, metadata };
+}
+
+async function postWithServiceName(result, serviceName, metadata) {
+  try {
+    // Create custom tweet text that mentions the service
+    const customTweetText = `🧪 Animation Test: ${serviceName}\n\n"${metadata.title}" by ${metadata.artist} (${metadata.year})\n\nTesting AI animation - does it move or just pan?\n\n#AIAnimation #TestPost`;
+
+    // Post to X with custom text
+    const { TwitterApi } = await import('twitter-api-v2');
+
+    const client = new TwitterApi({
+      appKey: process.env.TWITTER_API_KEY,
+      appSecret: process.env.TWITTER_API_SECRET,
+      accessToken: process.env.TWITTER_ACCESS_TOKEN,
+      accessSecret: process.env.TWITTER_ACCESS_SECRET,
+    });
+
+    const mediaPath = result.animatedVideo || result.animatedImage || result.originalImage;
+
+    console.log(`Uploading ${serviceName} video...`);
+    const mediaId = await client.v1.uploadMedia(mediaPath);
+
+    const tweet = await client.v2.tweet({
+      text: customTweetText,
+      media: {
+        media_ids: [mediaId]
+      }
+    });
+
+    console.log(`✅ Posted ${serviceName} test! Tweet ID: ${tweet.data.id}`);
+    return tweet;
+
+  } catch (error) {
+    console.error(`Failed to post ${serviceName}:`, error.message);
+    return null;
+  }
+}
+
+async function testService(serviceName, animationFunc, imagePath, metadata) {
+  console.log(`\n${'='.repeat(50)}`);
+  console.log(`Testing: ${serviceName}`);
+  console.log('='.repeat(50));
+
+  try {
+    const result = await animationFunc(imagePath, metadata);
+
+    if (result.isAnimated || result.animatedVideo) {
+      console.log(`✅ ${serviceName} created animation!`);
+
+      // Post to X with service name in tweet
+      await postWithServiceName(result, serviceName, metadata);
+
+      return true;
+    } else {
+      console.log(`❌ ${serviceName} failed to create animation`);
+      return false;
+    }
+  } catch (error) {
+    console.log(`❌ ${serviceName} error:`, error.message);
+    return false;
+  }
+}
+
+async function runAllTests() {
+  console.log('TESTING ALL ANIMATION SERVICES WITH VAN GOGH SUNFLOWERS');
+  console.log('Each animation will be posted with the service name\n');
+
+  const { filePath, metadata } = await downloadSunflowers();
+  console.log('Sunflowers downloaded:', filePath);
+
+  // Wait between posts to avoid rate limits
+  const delay = ms => new Promise(resolve => setTimeout(resolve, ms));
+
+  // Test 1: Replicate with Stable Video Diffusion
+  console.log('\nStarting Replicate/SVD test...');
+  await testService(
+    'Replicate Stable Video Diffusion',
+    createRealAIVideo,
+    filePath,
+    metadata
+  );
+
+  console.log('\nWaiting 10 seconds before next test...');
+  await delay(10000);
+
+  // Test 2: Hugging Face (if configured)
+  if (process.env.HUGGINGFACE_TOKEN) {
+    console.log('\nStarting HuggingFace test...');
+    await testService(
+      'HuggingFace AI Models',
+      createHuggingFaceAnimation,
+      filePath,
+      metadata
+    );
+  } else {
+    console.log('Skipping HuggingFace (no token configured)');
+  }
+
+  console.log('\n' + '='.repeat(50));
+  console.log('ALL TESTS COMPLETE!');
+  console.log('Check @goodquestionai to compare the animations');
+  console.log('Reply which one has real movement vs just camera panning!');
+  console.log('='.repeat(50));
+}
+
+runAllTests().catch(console.error);
\ No newline at end of file
diff --git a/test-sunflowers.js b/test-sunflowers.js
new file mode 100644
index 0000000..09278a1
--- /dev/null
+++ b/test-sunflowers.js
@@ -0,0 +1,86 @@
+import { fetchRandomArtwork } from './src/fetchArtwork.js';
+import { animateArtwork } from './src/animateWithGrok.js';
+import { postToX } from './src/postToX.js';
+import fs from 'fs';
+import path from 'path';
+import axios from 'axios';
+import { fileURLToPath } from 'url';
+
+const __filename = fileURLToPath(import.meta.url);
+const __dirname = path.dirname(__filename);
+
+async function testSunflowers() {
+  try {
+    console.log('Testing with Van Gogh Sunflowers...\n');
+
+    // Download Sunflowers image directly
+    const imageUrl = 'https://upload.wikimedia.org/wikipedia/commons/thumb/4/46/Vincent_Willem_van_Gogh_127.jpg/800px-Vincent_Willem_van_Gogh_127.jpg';
+
+    console.log('Downloading Sunflowers painting...');
+    const response = await axios.get(imageUrl, { responseType: 'arraybuffer' });
+
+    const outputDir = path.join(__dirname, 'output');
+    if (!fs.existsSync(outputDir)) {
+      fs.mkdirSync(outputDir, { recursive: true });
+    }
+
+    const timestamp = new Date().getTime();
+    const fileName = `sunflowers_test_${timestamp}.jpg`;
+    const filePath = path.join(outputDir, fileName);
+
+    fs.writeFileSync(filePath, response.data);
+    console.log('Image saved:', fileName);
+
+    const metadata = {
+      title: 'Sunflowers',
+      artist: 'Vincent van Gogh',
+      year: '1888',
+      description: 'One of Van Gogh\'s most famous paintings featuring vibrant sunflowers',
+      objectNumber: 'VG-1888',
+      imageUrl: imageUrl,
+      localPath: filePath,
+      fileName: fileName,
+      museum: 'Public Domain Collection',
+      creditLine: 'Vincent van Gogh (Public Domain)',
+      dimensions: []
+    };
+
+    console.log('\n=== STARTING AI VIDEO GENERATION ===');
+    console.log('This will use Stable Video Diffusion to create REAL animation');
+    console.log('Cost: approximately $0.02\n');
+
+    // Animate with Replicate
+    const animationResult = await animateArtwork(filePath, metadata);
+
+    if (animationResult.animatedVideo) {
+      console.log('\n✅ SUCCESS! AI video created:');
+      console.log('Video path:', animationResult.animatedVideo);
+
+      const stats = fs.statSync(animationResult.animatedVideo);
+      console.log('Video size:', (stats.size / 1024 / 1024).toFixed(2), 'MB');
+      console.log('Format:', animationResult.videoFormat || 'mp4');
+
+      console.log('\nPosting to X.com...');
+      const tweet = await postToX(animationResult);
+
+      console.log('\n🎉 COMPLETE!');
+      console.log('Tweet posted with AI-animated video');
+      console.log('Check @goodquestionai to see the animation!');
+
+    } else {
+      console.log('\n❌ Animation failed - check error messages above');
+    }
+
+  } catch (error) {
+    console.error('\n❌ Test failed:', error.message);
+    if (error.response) {
+      console.error('API Response:', error.response.data);
+    }
+  }
+}
+
+console.log('='.repeat(50));
+console.log('VAN GOGH SUNFLOWERS AI ANIMATION TEST');
+console.log('='.repeat(50));
+
+testSunflowers();
\ No newline at end of file

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