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Four Schema Rules for Building Reliable AI Moderation Summary APIs

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A technical framework for AI-powered content moderation APIs outlines four core invariants to ensure reliable, auditable automated decisions. The first rule requires strict JSON contract validation — HTTP success alone is insufficient, and any malformed or incomplete model output must be routed to human review rather than silently corrected. The second and third rules mandate stable report identity with revision tracking and source hashing, plus a detailed audit trail covering model ID, prompt version, and validation outcomes, while avoiding unnecessary retention of sensitive moderation content. The fourth rule calls for categorizing failures distinctly — separating retryable rate-limit errors from authentication failures and schema violations — since retrying cannot fix a broken contract. Together, these principles treat model output as untrusted input and ensure only one validated result per report revision enters the review queue.

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