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Why AI Agent Reports Are Not Proof: The Case for Independent Artifact Verification

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A software engineering post argues that session reports generated by AI agents are self-descriptions, not independently verifiable evidence. The author contends that approving a report — even with multiple reviewers — only means one observation has been read multiple times, not independently confirmed. The post cites a real example where a test suite was reported stable and approved twice, yet a fresh rerun against the actual files on disk revealed two failures in sixteen runs. The recommended practice is to check the exact worktree, read the actual diff, run the declared command, and preserve its output for others to inspect. The core principle is that a report serves as a map to the artifact, not a substitute for re-running and directly observing it.

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