{
  "version": 2,
  "prdId": "[PRD-XXX from roadmap or PRD filename]",
  "project": "[Project Name]",
  "branchName": "aha-loop/[feature-name-kebab-case]",
  "description": "[Feature description from PRD title/intro]",
  "changeLog": [],
  "userStories": [
    {
      "id": "US-001",
      "title": "[Story title]",
      "description": "As a [user], I want [feature] so that [benefit]",
      "acceptanceCriteria": [
        "Criterion 1",
        "Criterion 2",
        "Typecheck passes"
      ],
      "priority": 1,
      "passes": false,
      "researchTopics": [
        "Question about technology or best practice",
        "Question about existing patterns"
      ],
      "researchCompleted": false,
      "learnings": "",
      "implementationNotes": "",
      "notes": ""
    }
  ]
}

New v2 Fields Explained

Field	Purpose
`version`	Schema version (always 2)
`prdId`	PRD identifier (e.g., PRD-001) for commit message prefixes
`changeLog`	Array of plan modifications made during execution
`researchTopics`	Questions to investigate before implementing the story
`researchCompleted`	Whether research phase is done for this story
`learnings`	Knowledge gained during implementation (filled by Aha Loop)
`implementationNotes`	Guidance from research phase for implementation

Story Size: The Number One Rule

Each story must be completable in ONE Aha Loop iteration (one context window).

Aha Loop spawns a fresh AI instance per iteration with no memory of previous work. If a story is too big, the LLM runs out of context before finishing and produces broken code.

Right-sized stories:

Add a database column and migration
Add a UI component to an existing page
Update a server action with new logic
Add a filter dropdown to a list

Too big (split these):

"Build the entire dashboard" - Split into: schema, queries, UI components, filters
"Add authentication" - Split into: schema, middleware, login UI, session handling
"Refactor the API" - Split into one story per endpoint or pattern

Rule of thumb: If you cannot describe the change in 2-3 sentences, it is too big.

Story Ordering: Dependencies First

Stories execute in priority order. Earlier stories must not depend on later ones.

Correct order:

Schema/database changes (migrations)
Server actions / backend logic
UI components that use the backend
Dashboard/summary views that aggregate data

Wrong order:

UI component (depends on schema that does not exist yet)
Schema change

Acceptance Criteria: Must Be Verifiable

Each criterion must be something the execution engine can CHECK, not something vague.

Good criteria (verifiable):

"Add status column to tasks table with default 'pending'"
"Filter dropdown has options: All, Active, Completed"
"Clicking delete shows confirmation dialog"
"Typecheck passes"
"Tests pass"

Bad criteria (vague):

"Works correctly"
"User can do X easily"
"Good UX"
"Handles edge cases"

Always include as final criterion:

"Typecheck passes"

For stories with testable logic, also include:

"Tests pass"

For stories that change UI, also include:

"Verify in browser using dev-browser skill"

Frontend stories are NOT complete until visually verified. Aha Loop will use the dev-browser skill to navigate to the page, interact with the UI, and confirm changes work.

Conversion Rules

Version: Always set "version": 2
prdId: Set from roadmap PRD ID (e.g., PRD-001) or derive from PRD filename
Each user story becomes one JSON entry
IDs: Sequential (US-001, US-002, etc.)
Priority: Based on dependency order, then document order
All stories: passes: false, researchCompleted: false, empty notes, learnings, implementationNotes
branchName: Derive from feature name, kebab-case, prefixed with aha-loop/
Always add: "Typecheck passes" to every story's acceptance criteria
researchTopics: Extract from PRD's Research Topics section, or generate if story involves:
- Unfamiliar third-party libraries
- Multiple implementation approaches
- Performance-sensitive code
- Complex integrations
changeLog: Initialize as empty array []

Splitting Large PRDs

If a PRD has big features, split them:

Original:

"Add user notification system"

Split into:

US-001: Add notifications table to database
US-002: Create notification service for sending notifications
US-003: Add notification bell icon to header
US-004: Create notification dropdown panel
US-005: Add mark-as-read functionality
US-006: Add notification preferences page

Each is one focused change that can be completed and verified independently.

Example

Input PRD:

# Task Status Feature

Add ability to mark tasks with different statuses.

## Requirements
- Toggle between pending/in-progress/done on task list
- Filter list by status
- Show status badge on each task
- Persist status in database

Output prd.json (v2):

{
  "version": 2,
  "prdId": "PRD-001",
  "project": "TaskApp",
  "branchName": "aha-loop/task-status",
  "description": "Task Status Feature - Track task progress with status indicators",
  "changeLog": [],
  "userStories": [
    {
      "id": "US-001",
      "title": "Add status field to tasks table",
      "description": "As a developer, I need to store task status in the database.",
      "acceptanceCriteria": [
        "Add status column: 'pending' | 'in_progress' | 'done' (default 'pending')",
        "Generate and run migration successfully",
        "Typecheck passes"
      ],
      "priority": 1,
      "passes": false,
      "researchTopics": [
        "Best practices for enum columns in this database",
        "Migration rollback strategies"
      ],
      "researchCompleted": false,
      "learnings": "",
      "implementationNotes": "",
      "notes": ""
    },
    {
      "id": "US-002",
      "title": "Display status badge on task cards",
      "description": "As a user, I want to see task status at a glance.",
      "acceptanceCriteria": [
        "Each task card shows colored status badge",
        "Badge colors: gray=pending, blue=in_progress, green=done",
        "Typecheck passes",
        "Verify in browser using dev-browser skill"
      ],
      "priority": 2,
      "passes": false,
      "researchTopics": [
        "Existing badge components in codebase",
        "Accessible color schemes for status indicators"
      ],
      "researchCompleted": false,
      "learnings": "",
      "implementationNotes": "",
      "notes": ""
    },
    {
      "id": "US-003",
      "title": "Add status toggle to task list rows",
      "description": "As a user, I want to change task status directly from the list.",
      "acceptanceCriteria": [
        "Each row has status dropdown or toggle",
        "Changing status saves immediately",
        "UI updates without page refresh",
        "Typecheck passes",
        "Verify in browser using dev-browser skill"
      ],
      "priority": 3,
      "passes": false,
      "researchTopics": [],
      "researchCompleted": false,
      "learnings": "",
      "implementationNotes": "",
      "notes": ""
    },
    {
      "id": "US-004",
      "title": "Filter tasks by status",
      "description": "As a user, I want to filter the list to see only certain statuses.",
      "acceptanceCriteria": [
        "Filter dropdown: All | Pending | In Progress | Done",
        "Filter persists in URL params",
        "Typecheck passes",
        "Verify in browser using dev-browser skill"
      ],
      "priority": 4,
      "passes": false,
      "researchTopics": [
        "URL state management patterns in this codebase"
      ],
      "researchCompleted": false,
      "learnings": "",
      "implementationNotes": "",
      "notes": ""
    }
  ]
}

Archiving Previous Runs

Before writing a new prd.json, check if there is an existing one from a different feature:

Read the current prd.json if it exists
Check if branchName differs from the new feature's branch name
If different AND progress.txt has content beyond the header:
- Create archive folder: archive/YYYY-MM-DD-feature-name/
- Copy current prd.json and progress.txt to archive
- Reset progress.txt with fresh header

The aha-loop.sh script handles this automatically when you run it, but if you are manually updating prd.json between runs, archive first.

Checklist Before Saving

Before writing prd.json, verify:

Research Topics Guidelines

When to add research topics:

Story uses unfamiliar library → "How to use [library] for [task]"
Multiple approaches possible → "Compare [approach A] vs [approach B]"
Performance matters → "Performance implications of [approach]"
Existing patterns unknown → "Existing patterns for [feature] in codebase"

When to skip research topics:

Simple CRUD operations
Copy-paste from existing similar code
Well-understood patterns already used in project
Story builds directly on previous story's learnings

prd-converter

Aha Loop PRD Converter

The Job

Output Format (v2)