Turn a product idea into agent-ready context your AI can actually use.
An AI interviewer extracts your concept through a focused conversation, then compiles a complete starter kit — PRD, CLAUDE.md, AGENTS.md, DESIGN.md, and more.
Built for the tools you already use
What you get
One interview, a full repo-ready context bundle.
Requirements, user stories, MVP boundary
Always-on instructions for Claude Code
Agent workflow + stack context
Visual language & component guidance
Coding behavior & quality gates
Phase-based implementation roadmap
How it works
From idea to agent context in three steps.
Describe your idea
Type a rough product idea in plain language. The AI interviewer asks one focused question at a time.
Refine through interview
Answer adaptive questions until the readiness score says you're ready. Keep refining or generate.
What problem does your product solve?
Generate the starter kit
Get a complete bundle of markdown docs and agent instruction files. Drop it into your repo.
The difference
Stop re-explaining your project.
Without a starter kit
- —Re-explain your project every session
- —Manually write CLAUDE.md from scratch
- —Inconsistent context across sessions
- —Wasted tokens re-establishing scope
With markdown-agent
- Describe your idea once — it remembers
- Agent-ready instruction files generated
- Consistent context committed to your repo
- Agents start working from message one
Commit-ready
Drop the kit in your repo. Your agent picks it up instantly.
- <Layered outputs
Product, execution, agent, design, and rules layers — each modular and concise.
- <Stack-aware generation
Commands, structure, and env vars are derived from your chosen stack — not generic templates.
- <Versioned & regenerable
Each file is versioned. Regenerate any single output without redoing the interview.
Builders
Skip the setup. Ship the product.
“I described my idea in a 10-minute chat and got a CLAUDE.md that actually made Claude Code useful. No more re-explaining the project every session.”
“The interview caught scope contradictions I hadn't noticed. The generated RULES.md alone saved me from half a dozen bad architectural decisions.”
“Having AGENTS.md and TASKS.md pre-written meant my coding agent went from zero to implementing features on the first message. That's the whole value.”