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): | |
| 1) Hook likeness_detector.py into Quality & Compliance Agent; populate gallery with public-figure images to check against. | |
| 2) Replace placeholder thumbnails with model-generated thumbnails using Runway/Midjourney and iterate A/B tests. | |
| 3) Deploy Zapier webhook and test with one sample payload. | |
| 4) Connect Google Sheets with service account credentials for automated logging. | |
Xet Storage Details
- Size:
- 1.11 kB
- Xet hash:
- dffa55d89a15db7328d8e815fc872ff4c5005c516d3b0598f330336d62e982c2
·
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