Agent Action Verification

The author argues that AI agent action verification should use fast, deterministic checks and calibrated binary decision models on the request path rather than a second large-model prompt. Relying on an uncalibrated confidence score or asking a model to grade its own terminal output wastes compute resources and worker slots. The article provides a checklist for implementing reliable tool-call guardrails and gateway hooks to halt unauthorized actions before execution. Open article →