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Raw content materials that feed the AI Production Agent as source data for content generation. Distinct from knowledge-base/ (which holds brand voice, positioning, and stable brand intelligence) — this folder holds the SPECIFIC MATERIAL a given piece of content is ABOUT.
Typical inputs: product information, blog posts, ingredient breakdowns, customer testimonials, research citations, existing social posts, raw notes, photo/video asset lists.
One subfolder per product (or per topic, if topic-led rather than product-led):
content-inputs/
├── README.md (this file)
├── [product-name-kebab]/
│ ├── product-info.md primary product description, positioning, claims
│ ├── ingredients.md ingredient list, sourcing, mechanism
│ ├── blogs/ one .md per blog post
│ ├── testimonials.md customer quotes (anonymized if needed)
│ ├── existing-social/ screenshots + captions of posts already out
│ └── assets-manifest.md list of available photos/videos with paths
kebab-case filenames.knowledge-base/ to understand brand voice, positioning, personas, pillars (stable brand intelligence).content-inputs/[product]/ to understand the SPECIFIC material this piece is about.synthesis/outputs/[product]/[owner-track]/ (created as needed in Phase 3).First pilot product is being selected by Can. When files arrive, place them in content-inputs/[product-name]/. The pilot will exercise the 1-product → 4-owner-track generation pipeline.