Your AI Agent's Logs Are Lying to You: A 4-Field Schema That Actually Works

Short summary

A production-tested logging schema using four mandatory fields—expected_outcome, observed_outcome, verification, uncertainty_signal—catches AI agent fabrications and silent failures that standard logging misses. Verification through separate API calls detects when agents hallucinate success despite failed operations. This pattern emerged from 12 weeks of iteration on a real agent pipeline.

• •Standard agent logging hides failures by logging what the agent reported, not what actually happened
• •Four mandatory fields catch three failure modes: silent failures, fabrication, and confidence drift
• •Verification through separate API re-reads is critical—catches hallucinations standard logs miss

Generated with AI, which can make mistakes.