Developer logs mutual AI chat audit before weekly usage reset

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A developer named Michał conducted a structured peer audit of his conversations with an AI assistant called Cos2, ahead of a forced chat reset triggered by a weekly usage limit. The audit reconstructed approximately 48 message turns from canon files and session logs, since raw chat transcripts were unavailable in the active session. Each turn was scored across five dimensions — prompt clarity, goal legibility, canon consistency, output effectiveness, and mutual drift — yielding overall averages between 3.3 and 3.6 out of 5. Highlights included strong turns where clear single-goal prompts produced reusable artefacts, while low-scoring turns involved nocturnal multi-topic dumps, jargon failures, and premature tool expansions. The stated goal of the exercise was to extract ten durable collaboration rules to carry into the next session, rather than produce generic praise.

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