Team Kaizen

Echo — stop approving agent code you haven't read. Developers now ship code written by agents they can't fully verify. METR (2025) found experienced open-source developers took 19% longer with AI while believing they were 20% faster; Stack Overflow (2025) found 46% distrust AI output. Generation stopped being the bottleneck. Trust is. Echo records a normal interactive Muse Code session and turns the finished tape into a one-minute comprehension story plus a calibration check on the risky parts. No import step, no new interface: native session logs and lifecycle hooks trigger shadow-Git snapshots as the agent works, with secrets redacted before anything is stored. Opening a session, you get the story in fixed order: what you asked, ask-vs-result, the behaviour changes as cards with computed verification badges and rank reasons, detours (reverted and failed attempts a final diff can't show), and loose ends, with capture gaps reported as data. Every card offers Ask why (evidence-grounded answers with citations, or an honest "not on the tape" refusal), Show the code, and a confidence-first check that ends in a calibration picture, never a score or a gate.