{"type":"video","version":"1.0","html":"<iframe src=\"https://www.loom.com/embed/1b32e208e8594526a15430a85eb2f941\" 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/1b32e208e8594526a15430a85eb2f941-b8fff928bd868373.gif","duration":268.779,"title":"AI Manager Mentor for Scaled Engineering Teams","description":"This Loom demos an AI manager and mentor designed to reduce engineering onboarding and employee friction as teams scale past the 50-person wall. The creator explains a 10 to 14 day ingestion period that gathers data from sources like Slack, GitHub, tickets, and knowledge bases or the net to map employee intent and day to day activities. They propose training a locally hosted SLM on a company server for privacy, then simulating organizational interactions, potentially eliminating meetings and speeding decisions and troubleshooting. The discussion also notes customer discovery with companies including Microsoft and venture firms such as Titan Capital, Campus Fund, and Mehrasis Venture Partners."}