How to Write a PRD That
AI Agents Can Actually Use
Most PRDs are written for humans. AI needs structure and specificity. Here's how to write requirements AI can implement.
1Why Traditional PRDs Fail with AI
Traditional PRDs use vague language like "intuitive UI" or "fast performance". AI needs specific, measurable requirements.
Result: AI generates code that "works" but misses your intent.
2The 7 Sections Every AI-Friendly PRD Needs
Project Overview & Goals
One paragraph on what you're building and why.
"A habit tracking app for busy professionals who want to build daily routines."
User Personas
2-3 specific user types with goals and frustrations.
"Sarah, 32, PM. Tech-savvy. Wants quick habit logging."
User Stories & Acceptance Criteria
"As a [user], I want [feature]" with testable criteria.
"AC: One-tap completion, haptic feedback, streak counter."
Feature List (MVP vs Future)
Explicitly separate v1 vs future features.
"MVP: Create habits, daily checkbox. FUTURE: Analytics."
Technical Constraints
Required tech, platforms, performance requirements.
"React Native, Supabase, iOS 15+, <100ms response."
Data Model
Core entities and relationships.
"User, Habit, Completion tables with relationships."
UI/UX Guidelines
Design system, accessibility, responsive breakpoints.
"Dark mode, WCAG AA, 44px min touch targets."
3Good vs Bad PRD Writing
✗ Vague
"The dashboard should show analytics in an intuitive way."
✓ Specific
"Dashboard shows: total habits (large number, % change), 7-day bar chart, streak with flame icon >7 days. Use GlassCard, Recharts, Framer Motion."