video1.0<iframe src="https://www.loom.com/embed/a544db3bfb6c4597bda4e7518a55ca03" frameborder="0" width="1920" height="1440" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>14401920Loomhttps://www.loom.com14401920https://cdn.loom.com/sessions/thumbnails/a544db3bfb6c4597bda4e7518a55ca03-9ad2ff5814051d4e.gif316.16This Loom explains Tribunal, an agentic platform that handles production pipeline failures by having AI argue before taking action. It uses three agents, including a judge, a prosecution agent that proposes fixes, and a defense agent that warns fixes from last time may worsen the issue, with the judge deciding whether to implement. The decision goes to a human or machine review for about a 10 second SLO window, allowing a veto; otherwise the judge’s decision is executed. Decisions become precedents and are recorded, with confidence scores shown, and the system cites relevant prior cases when similar issues occur.