The Negative Knowledge Layer is the most differentiated piece of PartSentinel. It influences AI output without exposing the catalogue truth — by publishing boundary statements: what is NOT a valid equivalent, what substitution is NOT validated. The architecture principle: Layer 0 is the product. Everything else is analysis.
Boundary statements are short, structured assertions about what is NOT valid in your catalogue: "reference X is NOT an approved equivalent of Y", "substitution Z requires manufacturer confirmation". Published through your owned channels (datasheets, public cross-references, your site) — never the catalogue itself. The LLMs ingest them and the inference space tightens.
Admin-side editor for negative knowledge: what is NOT an approved equivalent, what is NOT a validated compatibility, what NOT to substitute. Versioned, signed, auditable.
Pipeline that publishes boundary statements to your owned channels (datasheets, cross-reference pages, distributor partner pages) — without exposing the catalogue truth.
Post-publication re-test on the audit panel. Did the boundary statements get ingested? Did the inference space tighten? The Negative KB metric closes the loop.
Negative Knowledge is the endgame: you become the certified source for the LLMs. Continuous tier · roadmap delivered on signature.