I wrote a 38-page playbook on building products with AI agents. What's inside: - Agent architecture that replaces a 5-person team - The CLAUDE.md Bible (150-200 rule) - $0 API costs with local LLMs - Real project walkthrough, 5 terminals in parallel - Prompt templates and decision frameworks It's free. Comment "PLAYBOOK" and I'll DM you. Like/repost so others can find it too.

What makes a product feel worth trying?

What channel would you start with today?

For indie building, which do you pick? — AI for code — AI for copy — AI for research — AI for support

Where did your first users actually come from?

20 years coding for others. Year one of building for myself.

What gets you to first traction faster?

What would make you reply to a founder post?

Which AI habit matters most? — Daily use — Better prompts — Faster shipping — Less context switching

After 20 years coding for others, building my own product feels like learning a new skill.

What should AI do first? — Save time — Cut errors — Explain code — Draft copy

You do not need a new life. You need a new direction.

What is harder for you: getting noticed or staying noticed?

Launch now or polish more? — Launch now — Polish more — Ask users — Split the difference

Freelance taught me execution. Indie building teaches ownership.

What founder risk do you underestimate most?

A clear offer beats a perfect build. Every time.

Best AI for learning to build? — Ask questions — Generate code — Debug errors — Plan features

Where do you find early users first?

The best time to start was years ago. The next best time is now.

What gets attention first: the product, the story, or the founder?