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Become an AI Product Manager

What it actually takes to manage product where AI is core to the build, not a bolt-on — from picking a defensible AI stack to knowing how AI-assisted development changes what a PM needs to evaluate.

intermediate70 minPMs and career switchers moving into AI-native product roles.
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Outcomes

  • Evaluate and choose an AI development stack with real tradeoffs in mind
  • Understand why AI-assisted development inside a real codebase beats pure prompt-to-app tools
  • Read your own AI coding stack the way a PM should: what it enables and what it risks

Modules

1
Why AI-Assisted Development Beats Pure Prompt-to-App Tools

A first-hand account of outgrowing a prompt-to-app tool while building Product Slice HQ, and what makes AI-assisted development inside a real codebase a fundamentally different and more stable choice.

2
Choosing Your AI Development Stack

A practical breakdown of the AI coding tools, models, and workflows worth using in 2025 — ranked by real-world usefulness, not hype.

3
My AI Coding Stack, Ranked by Six Months of Actually Building With It

Six months of building across multiple AI coding platforms, ranked honestly: why Claude Code plus Stitch sits at the top, what makes the Google AI suite a strong second, and why the right stack depends on how you actually work.