Great work on the session analytics. The "error cascade in first 2 minutes predicts abandonment" finding is exactly the kind of signal that causal auditing can act on. We built K9 Audit for the complementary problem: not just when sessions fail, but why — recording every tool call as a CIEU five-tuple (intent vs actual outcome) with a hash chain. The "26% abandoned" stat likely hides silent deviations that looked like success. k9log causal --last traces root cause across steps in seconds. https://github.com/liuhaotian2024-prog/K9Audit