Ship an App to Production as a Non-Engineer
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In this video
What you'll learn
Why AI builds the wrong thing from a prompt (or your spec)
What a spec looks like when AI build tools can actually use it. The same rigor PMs use for engineers, applied to AI.
Why AI-built features break in front of users
The tests and pre-deploy checks that catch it. Set up once, run on every change.
See how non-engineers ship to production
Live: a spec written in Claude Code, v0 builds the feature, the checks pass, it lands on a product I have built.
Why this topic matters
Most products built by non-engineers stop at "look, it works." Then it hits real users and breaks. The missing layer is one PMs already think in: requirements and tests. This session shows how I build and ship with little to no engineering experience. Claude Code holds the spec and evals. v0 builds. Vercel ships. You watch a real feature go through that loop, live.
You'll learn from
Myles Sutholt
Head of Product | 10+ years building product teams
Myles leads product at Field, where he built AI workflows his team uses daily for decisions, PRDs, and research. After months of experimentation, he developed a system that lets AI remember context across sessions, team members and tools, so that anyone can pick up everything everywhere. He now teaches product managers how to build their own AI copilot on Maven.
Go deeper with a course
Mastering AI: Become an AI-empowered Operator
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Myles Sutholt
I will help you escape the AI build trap and start getting actual value from it.
Keep exploring
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