Independent Verifier
An automated check that runs after every agent action to confirm the output matches the source of truth — operating independently from the generator that produced the code. The independence is the critical property: the verifier cannot be influenced by the same reasoning process that generated the output, ensuring that verification is genuine rather than self-confirming.
Why It Matters
AI agents are confident. They produce output that compiles, passes syntax checks, and reads convincingly — even when it's wrong. An agent grading its own work will find reasons to approve it. The same biases that produced the error will produce the approval. Independent verification breaks this self-confirming loop by introducing a check that doesn't share the generator's assumptions, context, or incentives.
In production agentic systems, independent verifiers are what make autonomous execution safe. Without them, "it builds" becomes the only quality signal — and building is a necessary but wildly insufficient condition for correctness.
How It Works
- Separation of concerns — the generator writes code; the verifier evaluates output. These are distinct processes with distinct contexts. The verifier has access to the specification and the output, not the generator's reasoning about how it got there.
- Source-of-truth comparison — verifiers compare agent output against an authoritative reference: test suites, schema definitions, specification documents, known-good baselines, or formal contracts.
- Automated execution — verification runs after every agent action without human intervention. Speed is essential — if verification takes longer than generation, agents will outrun their checks.
- Fail-loud behavior — when verification fails, the system halts and reports clearly. No silent degradation, no "close enough" thresholds that mask real problems.
- Tiered cost structure — simple checks (schema validation, type checking, row counts) run at near-zero cost. Complex checks (semantic verification, cross-system consistency) run selectively on higher-risk changes.