Playbooks: a community feed where Claude builds structured plans for life's biggest moments

#opensource #nextjs #ai #webdev

I built Playbooks because I kept running into the same problem: Notion is too blank, and ChatGPT gives you walls of text. Neither gives you a structured, actionable plan you can actually work through.

Playbooks works differently. Describe what you're planning in one sentence — "I want to start freelancing as a designer" or "planning a cross-country move" — and Claude generates a full structured playbook: phases, checkable tasks, reflection questions, and resources, all tailored to your specific situation.

What makes it a social feed

The homepage isn't a dashboard. It's a community feed of real playbooks — you can see what other people are planning, with task previews, category tags, and progress indicators. If someone's playbook fits your situation, you can fork it. Claude then re-tailors the entire thing around your context, so you're not starting from scratch but also not following a plan built for someone else.

Inline AI feedback

The questions in each playbook aren't just prompts to journal into. When you answer one, Claude reads your response and gives you situation-specific guidance — saved inline so it's there when you come back. The feedback is generated fresh from your actual answer, not a canned response.

How it's built

Framework: Next.js 16 (App Router) + React 19, TypeScript
AI: Claude API via @anthropic-ai/sdk — model claude-sonnet-4-6
Auth & database: Supabase (magic link auth — no passwords)
Payments: Stripe (checkout + webhooks)
Styling: Tailwind CSS v4, shadcn/ui, Framer Motion
Deployment: Vercel

Usage tiers

Free tier: 2 playbooks and 5 AI insights per month. Pro is $9/month for unlimited playbooks and 100 insights per month.

Why I built it

Most AI tools feel like a conversation that ends when you close the tab. I wanted something persistent — a plan you can return to, check off tasks on, and get feedback on over days or weeks. The community feed came from noticing that when you're planning something big, seeing how other people structured the same problem is genuinely useful.