quality-gate

You can validate knowledge candidates by applying deterministic schema checks and LLM-based judgments to ensure only well-structured, evidence-backed rules enter the vault. This process verifies required fields, enforces anti-pattern requirements, and assesses evidence framing.

A two-layer verification process applies rule-based deterministic checks for schema conformance and anti-patterns, followed by LLM-based semantic judgments to evaluate evidence sufficiency and identify potential duplicates or conflicts before vault insertion.

Yes, deterministic quality checks can verify required fields, ensure alternative presence for anti-patterns, and enforce meaningful considerations. These checks produce structured verdicts to determine if candidates pass or require human review.

The best way to surface conflicts is to use a quality gate that applies LLM-based semantic judgments to assess duplicates and produce structured verdicts with optional conflict curation, queueing failed candidates for human review.

A knowledge candidate may fail vault insertion if it does not meet LLM-based semantic judgments for evidence sufficiency, violates anti-pattern requirements, or triggers conflict detection, resulting in a structured verdict that queues it for review.