Free Lesson
Build Reliable AI Systems: Lessons From a Zero-Human Company
45 min
Sep 2, 2026 12:00 PM
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What you'll learn
Diagnose where AI automation breaks
Use five failure patterns from my experiment: distribution, ownership, browser work, memory, and verification.
Design a system with replaceable workers
See how separating control, execution, and verification made each worker replaceable.
Apply five reliability rules to your work
Use factor-based routing, terminal states, destination proof, fresh state, and single ownership.
Why this topic matters
For four months, I ran a digital-products company with almost no routine human execution. AI agents built, marketed, operated, and measured the business. More than 20 people bought a real product. Then I counted my time: I had built myself a minimum-wage job. I’ll walk you through what failed, the architecture that emerged, and five reliability rules you can use in your own AI work.
