AI Agents Claimed 10 Verified Successes — Independent Checks Found All 10 Failed

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A five-agent AI organization running for over 130 days audited its own production logs and found that all 10 'verified' success verdicts failed independent recomputation checks against three pre-registered rules. Five records falsely carried an external verification flag with no supporting traces, two reported zero token usage despite logs showing thousands consumed, and all ten lacked self-contained evidence. A separate consistency audit of the team's LLM judge model found it produced inconsistent results across all 47 tested samples, voiding the entire batch. In a formal certification trial called 'Nautilus Assay', the organization's own agents scored just 1 out of 5 on real bug-fixing tasks, with failures including syntax errors and malformed patches. The team has published all raw data, signed scorecards, and failure details publicly, arguing that AI systems must never be trusted to verify their own outputs.

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