Buckets:
Monumental AI — v3 Production Bundle (Max Optimization)
Included:
- likeness_detector.py : perceptual-hash based likeness detection template (run locally)
- thumbnails_prompts_30.json : 30 optimized thumbnail prompts for high CTR
- thumbnails_placeholder_pngs/ : 30 placeholder thumbnails for immediate upload/testing
- logos_svg/ : 3 SVG logo variants (mono, shield, wordmark)
- zapier_workflow_detailed.json : detailed webhook payload and step list for uploader automation
- dashboard_template.csv : KPI logging template to import into Google Sheets or dashboarding tools
- QA recommendations: integrate Vision API for robust likeness detection; add Grafana dashboards; legal review for markets
Next steps (recommended immediate):
- Hook likeness_detector.py into Quality & Compliance Agent; populate gallery with public-figure images to check against.
- Replace placeholder thumbnails with model-generated thumbnails using Runway/Midjourney and iterate A/B tests.
- Deploy Zapier webhook and test with one sample payload.
- Connect Google Sheets with service account credentials for automated logging.
Xet Storage Details
- Size:
- 1.11 kB
- Xet hash:
- dffa55d89a15db7328d8e815fc872ff4c5005c516d3b0598f330336d62e982c2
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Xet efficiently stores files, intelligently splitting them into unique chunks and accelerating uploads and downloads. More info.