TL;DR
AI PRD Generator
You need a PRD. You open ChatGPT, paste in your feature idea, and get back a polished document that could describe any product on earth. Generic user stories. Obvious success metrics. Zero connection to your actual codebase.
You edit it for an hour. You hand it to Cursor. Cursor ignores half of it because the spec doesn't reference real files. You rework the output. Again.
Tekk.coach is an AI PRD generator that reads your repository before writing a single line of spec. It asks questions based on what it found in your code, presents architectural options with real tradeoffs, and produces a structured PRD with file references, acceptance criteria, and scope boundaries. Not a generic document. A spec your coding agents can actually execute.
How Tekk.coach Generates PRDs
Most AI PRD generators are one-shot tools. You type a prompt. You get a document. Done.
The problem: that document has no idea what your codebase looks like. It suggests "add authentication" without knowing you already have an Express middleware handling sessions. It proposes database schema changes without knowing your ORM or existing models. The PRD looks professional. It's also useless for anyone (or any agent) who needs to write code that actually fits.
Tekk works differently. You describe what you want to build in plain language. Before generating anything, the agent searches your repository. Semantic search, file search, regex, directory browsing. It knows your stack, your file structure, your dependencies.
Then it asks 3-6 questions grounded in what it found. Not "who is the target user?" but "your UserService already handles role-based access. Do you want the new permissions to extend that, or should this be a separate authorization layer?"
It presents 2-3 architectural approaches with honest tradeoffs. Then it writes the full PRD, streamed into a rich text editor as an editable document. TL;DR. Building / Not Building scope boundaries. Subtasks with acceptance criteria and file references. Assumptions with risk levels. Validation scenarios.
You edit it. You hand it to your coding agent. It works.
Why Use Tekk as Your PRD Generator
Your PRD knows your code
Every other PRD generator AI tool works in isolation. Tekk reads your repo first. The spec references actual files, patterns, and architecture. Not generic requirements that could apply to any project.
Multi-turn, not one-shot
ChatPRD and similar tools generate immediately from a prompt. Tekk asks questions, explores options, and thinks before it writes. The output reflects decisions, not assumptions.
Scope protection is automatic
Every PRD includes an explicit "Not Building" section. You know what's in and what's out before anyone writes code. Traditional PRDs don't do this. Scope creep is the default without it.
Built for coding agents, not slide decks
Tekk's output feeds directly into Cursor, Claude Code, Codex, and Gemini. The spec tells the agent exactly what to build, which files to touch, and what acceptance criteria to meet. This isn't a document for a stakeholder meeting. It's an executable spec.
Web research fills your gaps
Building a payment integration and don't know Stripe's latest webhook patterns? The agent searches the web during planning and folds current best practices into your PRD. No separate research step.
How It Works
No templates. No forms. Five steps from idea to executable PRD.
1. Connect your repo
Link your GitHub, GitLab, or Bitbucket repository. The agent profiles your codebase: languages, frameworks, services, dependencies, file structure.
2. Describe what you want to build
Tell the agent in plain language. "Add user roles and permissions." "Build a Stripe subscription flow." "Set up webhook handling for third-party integrations." No PRD template to fill in.
3. The agent reads your code
Before asking a single question, the agent searches your repository. Semantic search via embeddings, file search, regex, directory browsing. It builds context from your actual code.
4. Questions and options
The agent asks 3-6 questions based on what it found. Then it presents 2-3 architecturally distinct approaches with honest tradeoffs. What each approach gives you, what it costs, what breaks.
5. Your PRD, ready to execute
The agent writes the full spec into a rich text editor as an editable document. Subtasks with acceptance criteria, file references, dependencies. Hand it to your coding agent and watch it execute correctly.
Who This Is For
Solo founders shipping with AI agents
You don't have a PM. You don't want to be one. You need structured specs so Cursor and Claude Code stop building the wrong thing. Tekk is the PM layer you're missing, without the PM overhead.
Developers who think in code, not documents
Writing PRDs feels unnatural. You know what you want to build but translating it into a structured document takes longer than the actual coding. Tekk translates for you. Describe the problem, get a spec.
Small teams without dedicated architects
Your team builds fast but keeps running into integration problems because nobody mapped out how the new feature connects to existing systems. Tekk reads the codebase and does that mapping for you. Every spec references the actual files and patterns it needs to work with.
People who hate the PRD process
You've tried Notion templates. You've tried ChatPRD. You've tried just winging it with a paragraph in Cursor. None of it works well. You want to describe the problem once and get something your agent can execute. No backlog grooming. No alignment meetings. No ceremony.
What Is an AI PRD Generator?
An AI PRD generator is a tool that uses artificial intelligence to create Product Requirements Documents from rough ideas, feature descriptions, or meeting notes. Instead of starting from a blank page, you describe what you want to build and the AI produces a structured document with objectives, user stories, technical requirements, and acceptance criteria.
The category took off in 2024-2025 as AI coding agents (Cursor, Claude Code, Codex) became the default way developers ship software. PRDs stopped being alignment documents for human teams and started being executable specs for AI agents. The quality of the PRD now directly determines the quality of the generated code.
The market includes dedicated tools like ChatPRD (100,000+ PMs), features inside collaboration platforms (Miro, Figma, Notion), and general-purpose AI (ChatGPT, Claude) used with prompt engineering. The gap across all of them: none read your codebase before generating. The PRDs they produce are structurally sound but disconnected from the code they're supposed to inform.
Stop Writing PRDs from Scratch
Your AI coding agents need structured specs, not paragraphs. Connect your repo, describe what you want to build, and get a PRD that references your actual code with clear scope boundaries and acceptance criteria. No templates. No forms. No ceremony.