Describe your product in plain English and get a complete Product Requirements Document — user stories, acceptance criteria, and edge cases an AI coding agent can build from — in under 90 seconds.
Generate Your PRD FreeWithout a system, every project starts from zero. No structure, no quality bar, no way to carry context between sessions. The Dev System gives your agent a complete methodology — research, plan, build, score, audit, deploy. Personalised to your stack.
CLAUDE.md ← Your rules
skills/
session-continuity/ ← Never lose context
multi-agent-qa/ ← 95/100 quality gate
security-audit/ ← Blocks bad deploys
seo-aeo-pass/ ← Every public page
research-and-plan/ ← Before any code
nextjs-scaffold/ ← Your framework
vercel-deploy/ ← Your deploy target
resend-email/ ← Your email provider
post-launch/ ← Monitoring + care
templates/
project-CLAUDE.md ← Per-project setup
continuity/ ← decisions, changelog,
session-logA Product Requirements Document (PRD) defines what your product should do: the user stories, feature requirements, acceptance criteria, and edge cases needed to build the right thing. An AI PRD generator produces that document from a plain-English description in seconds.
Unlike traditional PRDs written for humans, Keeborg generates AI-optimized specs that coding agents like Claude Code and Cursor can execute directly. You describe the idea; Keeborg handles the structure — so you start building instead of formatting.
AI agents are powerful but literal. Without explicit acceptance criteria and edge cases, they make assumptions — and assumptions become bugs and missing features. A structured PRD removes the ambiguity so the agent builds exactly what you intended, the first time.
# Requirements Specification ## Feature: User Authentication ### User Story As a user, I want to securely log in to my account so that I can access my dashboard. ### Acceptance Criteria - [ ] Sign up with email and password - [ ] Password 8+ characters with a number - [ ] Email verification before access - [ ] Reset password via email link - [ ] Session expires after 24h inactivity ### Edge Cases - Invalid email format → validation error - Duplicate email → "Account already exists" - Expired reset link → request a new one - Too many attempts → temporary lockout
Every section is tailored to your specific product based on the description and refinements you provide.
Each feature framed in standard "As a user, I want… so that…" format, so the intent behind every requirement is explicit.
Concrete, checkable conditions for every feature — the exact bar an AI agent must hit for the work to count as done.
The invalid inputs, failure paths, and boundary conditions agents skip when they are left to guess.
What is must-have versus nice-to-have, so the agent builds the core before the extras.
Which features rely on which, so work happens in a buildable order instead of a tangle.
Performance, security, and scalability constraints captured up front rather than discovered in production.
Three steps from idea to a complete PRD your AI coding agent can build from.
Tell Keeborg what you are building in plain English — the core features, who it is for, and what success looks like.
Keeborg asks targeted questions about features, priorities, and edge cases to remove ambiguity before generating.
Receive a complete PRD plus 7 other spec documents. Refine in the editor, then export to GitHub or download.
Anyone who needs to turn a product idea into something an AI coding agent can build.
Turn a rough concept into a concrete spec you can hand to an AI agent and start building the same day.
Translate a product vision into structured, unambiguous requirements without spending an afternoon formatting a doc.
Give Claude Code or Cursor explicit acceptance criteria and edge cases instead of a one-line prompt.
Produce a clear requirements document for client sign-off, then build straight from the same spec.
A weak PRD leads AI agents straight into wrong assumptions. Here's what to watch out for.
"Add user login"
Specify the flow, validation rules, session behaviour, and what happens on failure — the details an agent otherwise invents.
Listing features with no definition of done
Give each feature checkable criteria so the agent knows exactly when it has built the right thing.
Only describing the happy path
Document invalid inputs, empty states, and error handling — where AI agents quietly introduce bugs.
Prose paragraphs with implied requirements
Structure the PRD so an AI coding agent can parse and execute it directly, not just read it.
Go deeper on the process and the tooling landscape.
The PRD is one of 8 interconnected documents Keeborg generates from your project description. Each document references the others, giving AI agents comprehensive project context.
Stop formatting requirements docs by hand. Describe your product in plain English and get a complete PRD plus 7 other spec documents in under 90 seconds.
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