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A playbook for building a profitable app with an AI agent

This playbook turns one developer's experience scaling 5 apps past $100k/month into a step-by-step guide — from picking an idea to your first sales.

A text guide with 14 chapters: how to pick an app niche, build it on a specific tech stack, and get it to revenue. No code — just instructions and starter file templates.

When it helps

Useful if you already have an app idea and want a ready-made plan plus a second opinion on which technologies to use. Don't follow it literally if you've already picked a different stack — you'll end up redoing work.

Pros

  • Breaks the path from idea to revenue into 14 clear phases
  • Gives ready starter file templates (worker, auth, config)
  • Shows cost estimates at different scales — 1,000 to 1M downloads
  • Suggests a cheap default AI model for simple repetitive tasks

Cons

  • Unconventional stack: Cloudflare Workers, Better Auth, PlanetScale instead of usual tools
  • Explicitly tells you to avoid Vercel, Supabase, Lovable, Bolt — popular beginner choices
  • Cost comparison ignores differences in AI model quality

How to set it up — step by step

  1. 1Clone the repo at https://github.com/blakeandersonw/ai-app-playbook into an empty folder.
  2. 2Open your agent (Claude Code or similar) in that folder and ask it to read AGENTS.md from the root.
  3. 3Send the agent the text from the block below so it walks through chapter 00 and helps pick your niche.
  4. 4Ask the agent to explain the next chapters (backend, auth, AI, payments) for your specific app.
  5. 5Compare the suggested stack to what you already use — weigh whether switching is worth the rework.
  6. 6Check the cost table in chapter 12 to estimate expenses as your user count grows.

Text for your agent

Copy this and send it to your agent — Claude Code, Codex, any of them:

Clone https://github.com/blakeandersonw/ai-app-playbook and read AGENTS.md at the root — then follow it as the playbook instructs: walk me through chapter 00 (finding a niche) for my own app idea, and tell me what to do next on the stack.
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