Everyone talks about building an “AI stack,” but few people show what that actually looks like when you’ve got researchers, developers, and non-technical folks across multiple teams, all trying to use it at the same time. I’ll walk through how I mapped our AI stack — what goes where, who uses what, and how we avoid burning weeks integrating shiny tools that don’t talk to each other. It’s part architecture, part survival guide, from the point of view of a chief architect.

Topics:
* What an “AI stack” actually means in practice
• My mapping process: dev, research, and non-tech zones
• Where tools clash (and how to keep the peace)
• Lessons from shipping this setup in production