AI PRD Generator — Create AI-Ready Product Requirements Documents
Answer a few questions and generate a structured PRD for Claude Code, Cursor, Bolt, and other AI coding tools.
Generate Your PRDProduct Details
What Is an AI PRD?
An AI PRD (Product Requirements Document) is a structured document designed specifically for AI coding assistants. As vibe coding and AI-assisted development become mainstream, developers need a reliable way to communicate their product vision to tools like Claude Code, Cursor, Bolt, and v0.
Unlike traditional PRDs that are written for human engineering teams, AI PRDs are optimized for LLM consumption. They use concise, structured language with clear feature definitions, explicit user flows, and unambiguous technical requirements. This reduces misinterpretation and helps AI tools generate more accurate, consistent code.
The key difference is precision over prose. Where a traditional PRD might say "the user should be able to easily search for items," an AI PRD specifies "Search bar in header, debounced input (300ms), filters by category/price/date, results displayed in 12-column grid with pagination (20 items/page)."
How to Use AI PRDs With Claude Code
Generate your PRD
Fill out the form above with your product details. The generator will create a structured Markdown PRD tailored to your product type.
Copy the PRD
Click the Copy button to copy the entire PRD to your clipboard. Or download it as a .md file for later use.
Paste into Claude Code
Start a new Claude Code session and paste the PRD as your initial prompt. Use a command like: "Build this product according to the following PRD" followed by the pasted document.
Iterate with context
As Claude builds, reference specific sections of the PRD for corrections. "According to the User Flow section, the login should come before onboarding, not after."
AI PRD vs Traditional PRD
| Aspect | Traditional PRD | AI PRD |
|---|---|---|
| Audience | Human engineers, PMs, stakeholders | AI coding assistants (Claude, Cursor, etc.) |
| Style | Narrative, contextual, prose-heavy | Structured, concise, explicit |
| Length | Often 10-50 pages | 1-3 pages, dense information |
| Feature specs | High-level descriptions | Explicit inputs, outputs, states, errors |
| User flows | Diagrams and narratives | Step-by-step sequences with conditions |
| Tech stack | Often omitted or vague | Explicit framework, DB, auth, hosting |
| Success metrics | Business KPIs | Technical + user experience metrics |