Architect AI agents the way you architect organizations: new models of firms.

If you're reading this, you've probably already moved past the 'AI is coming' phase. You're in the thick of it — evaluating orchestration frameworks, arguing about agent memory architectures in design reviews, trying to explain to your board why 'just using GPT-4' isn't the answer to the problem you're actually solving. I know that position well, because it's the problem that drove me to build this curriculum.

The honest gap I kept running into — in my own work and in conversations with other senior practitioners — wasn't a lack of capability. The tools have gotten remarkably good. The gap was conceptual. We had no principled framework for thinking about what happens when you're not designing a single agent, but an organization of agents. And the people who had solved hard coordination problems at scale — organizational theorists, systems engineers, operations researchers — weren't talking to the AI practitioners building these systems. This school is my attempt to close that gap.

What you'll find here is not a survey of AI trends or a beginner's guide to prompt engineering. It's a rigorous, strategy-first framework built on the insight that multi-agent architecture is, at its core, an organizational design problem. We take that seriously: role taxonomies, authority structures, coordination protocols, governance models, failure mode analysis — all of it borrowed from disciplines that have been solving human-organization problems for decades and applied to the specific constraints of AI agent populations.

The Stanford virtual-biotech simulation is our north star because it validates the approach at a scale most of us won't reach — and forces every design principle to prove itself under extreme conditions. If a coordination mechanism works for 37,000 agents, understanding why it works tells you something durable and transferable. That's the level of intellectual seriousness I've tried to bring to every module.

My ask of you is simply this: come with a real problem. The Blueprint Sprint at the end of this course is not a toy exercise — it's designed to produce something you can hand to an engineering team on Monday morning. The frameworks only become valuable when they're grounded in the actual constraints of your organization. Bring those constraints, and we'll build something worth shipping.