{"type":"video","version":"1.0","html":"<iframe src=\"https://www.loom.com/embed/a544db3bfb6c4597bda4e7518a55ca03\" frameborder=\"0\" width=\"1920\" height=\"1440\" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>","height":1440,"width":1920,"provider_name":"Loom","provider_url":"https://www.loom.com","thumbnail_height":1440,"thumbnail_width":1920,"thumbnail_url":"https://cdn.loom.com/sessions/thumbnails/a544db3bfb6c4597bda4e7518a55ca03-9ad2ff5814051d4e.gif","duration":316.16,"title":"Tribunal: Machine Oversight for Production Fixes","description":"This 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."}