Allen Smith

Managing Partner, Musa Capital (ex-Microsoft, NFL, Stanford)

Cohort 1 — Summer 2026

Go from building agent demos to shipping production-grade agent systems with the eval rigor, guardrails, and judgment real teams rely on.

GP, Musa Capital · ex-Microsoft operator

Microsoft

LinkedIn

Productiv

Musa Venture Collective

General Partner, Musa Capital (ex-Microsoft, NFL, Stanford)

There's a canyon between an agent that works in your notebook and one that survives real users, real edge cases, and real money on the line. You've felt it: the demo lands, everyone's excited — then it breaks the moment it hits production, and nobody quite knows why.Crossing that canyon is the single most valuable skill in AI right now. And almost nobody teaches it, because almost nobody has shipped it.Over six weeks, you'll build a production-grade agent system end to end — architecture, tool orchestration, memory, evaluation harnesses, guardrails, deployment. Not a toy. Your own real project, the kind you can demo to a hiring manager, a CTO, or an investor.What makes this different: you're learning from an active investor and former big-tech operator who builds agentic systems as part of how Musa Capital develops its thesis. Not theory from someone who read the papers — the patterns that separate funded companies from prototypes.You'll leave with a system that ships, an eval discipline most teams never build, and the judgment to know what's actually production-ready.

Go from AI demos that impress to agent systems that survive production

Design agent architectures that survive real-world complexity

Build reliable tool use and orchestration

Implement memory and state for long-horizon tasks

Build eval harnesses that catch failures before users do

Add guardrails, governance, and human-in-the-loop control

Deploy, monitor, and position agentic products

Technical Founders — shipping agentic features and need production patterns that scale beyond the demo.

Engineers &amp; Eng Leads — building with LLMs at companies and need governance, eval, and deployment rigor.

Technical PMs — scoping production-grade agents and need to speak the language of what's actually possible.

Allen Smith Allen Smith will take you from AI demos to product

Allen Smith

Courses

Agentic AI Systems in Production