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What is agent output verification?
Agent output verification checks work products against rubrics — schema, citations, brand, numeric sanity — before or after human review. It catches errors fast instead of discovering them from customers.
In depth
Verification sits between generation and shipment:
- Structural — JSON schema, required fields, link format - Grounding — citations match retrieved sources; numbers match connector read - Policy — no prohibited claims, PII stripped from external drafts - Quality — brand voice classifier or LLM judge against rubric
Verification can block (fail closed), warn (flag for human), or sample (audit 5% of live runs).
Pair verification with agent evaluation: evals regression-test offline; verification guards online output.
Neuro OS Ask gate is the final verification for external actions — automated checks first, human approver last.
Examples
- Legal draft — every citation paragraph must map to source doc id
- Outbound email — price must match CRM field within 1%
- Blog post — schema.org block validated before CMS draft
- Random sample — 10 daily support replies scored by rubric
Related terms
FAQ
Verification vs eval?
Verification at run time; eval before deploy and on skill changes.
LLM as judge?
Useful but calibrate against human labels; don't trust alone for compliance.
Run governed agent roles on a company OS — not only definitions in a glossary.