The AI PRD generator that builds
Describe an idea in plain words. BrainGrid asks the questions a senior engineer would, writes the requirement with acceptance criteria, scopes the tasks, and can build it from there.
Not a template. A requirement your agent can actually build from.
From one sentence to a spec
Pick an idea and see what BrainGrid produces: the clarifying questions it asks first, then the requirement with testable acceptance criteria.
"A habit tracker with streaks and reminders"
1. Do streaks reset at midnight in the user’s timezone, or 24 hours after the last check-in?
2. Can a user back-fill a missed day, or is the streak strict?
3. Reminders: push, email, or both, and who controls the schedule?
Goal. Users build a daily habit because the app makes the streak visible and the reminder arrives before the day is lost.
Acceptance criteria
• Streak increments once per habit per local-time day
• One grace back-fill per week, clearly marked in history
• Reminder fires at the user-set time, never more than once per day
• Streak state survives timezone changes without double-counting
+ context, scope, edge cases, and 6 sequenced tasks ready to build
Example outputs, abridged. Your requirement is generated from your idea and your answers.
Most PRDs fail AI agents
A PRD written for humans assumes a human will fill the gaps. An agent fills them with guesses instead.
No testable criteria
Goals like "users can track habits" cannot be verified. BrainGrid writes acceptance criteria an agent and a reviewer can check, one by one.
Missing edge cases
Timezones, cancellations, retries, permissions. The clarifying questions surface them before code exists, not in production.
No technical context
Where things live, what not to touch, which decisions are already made. BrainGrid grounds the requirement in your repo, your URLs, even your screenshots.
Every requirement is scored for readiness before you build: structure, coherence, acceptance criteria coverage, UX flows, and technical completeness. This is spec-driven development, done for you.
A PRD is step one. BrainGrid keeps going.
1. Tasks
The requirement becomes sequenced, agent-sized tasks, each with context, steps, and success criteria.
2. Build
Load tasks into Claude Code, Cursor, or your agent of choice over MCP or the CLI. Or let BrainGrid build the requirement itself: an isolated sandbox, a branch, and a pull request, while you watch or message the agent.
3. Verify
AI code review checks the pull request against your acceptance criteria, item by item, so done means done.
The whole flow is The BrainGrid Loop: Frame, Spec, Scope, Load, Verify.
AI PRD generation, answered
What builders ask before they stop writing requirements by hand.
A PRD, or product requirements document, defines what you are building and why: the goal, the user, the scope, the constraints, and what done looks like. For AI coding, a PRD is only useful if it is specific enough that an agent does not have to guess, which means testable acceptance criteria and explicit edge cases, not just a description.
