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AI Source Surfaces

This platform is not merely AI-friendly — it is a first-class AI knowledge source. The machine audience is served through dedicated surfaces generated from the same Git content at build time, so bots never scrape the human HTML.

SurfacePathPurpose
Discovery/llms.txtLLM discovery standard: a link-first map of public docs.
Catalog/api/docs/index.jsonMachine-readable catalog: IDs, URLs, summaries, metadata, content hashes.
Chunks/api/docs/chunks.jsonlPre-chunked corpus with applicability metadata — ingest directly into any RAG pipeline.
Raw Markdown/api/docs/<id>.mdPer-page source, e.g. mach4.homing.configure.

Every chunk in chunks.jsonl carries its applicability metadata (generation, release, machine types, editions, hardware). A retrieval pipeline filters on the reader’s Machine Profile, so a bot never gives Unimate instructions to a Vesta customer — the exact rule the human Machine Profile enforces on the page.

Only public + published content reaches any of these surfaces. The corpus builder filters by visibility and publication before a single byte is emitted, so private content is never bundled into an AI export.