App Developer Studio

ChatStack: From idea to JSON PRD and fixed-price estimate

ChatStack automates structured Product Requirements Documents through a multi-agent workflow built for Cursor, Claude Code, and MCP-aware tools.

Turning an idea into a priced brief traditionally takes weeks of calls and manual estimates. ChatStack replaces the open-ended briefing call with one structured session that delivers a JSON PRD, user stories, technical specs, and a story-point quote you can act on.

Watch a session move from interview to structured outputs ready for your portal, Jira, or AI coding environment.

See it in action

One Session, Build-Ready Blueprint

In one focused 10-to-20 minute session, move from concept to cost estimate and a blueprint your team and AI tools can execute.

  • Structured JSON PRD with user stories and acceptance criteria
  • Functional, non-functional, and technical specifications
  • Story-point cost estimate you can act on
  • Exports for Jira, Markdown, and MCP-aware IDEs

How it works

Four specialist agents, one structured interview

Each agent runs a fixed stage so nothing material gets skipped. It is not an open-ended chat, but a guided workflow optimised for AI-readable requirements.

01

Ursula

User Story Agent

Captures personas and the why behind your product so development stays user-centric.

02

Theo

Functional & NFR Agent

Defines what the software does, including security, scalability, and performance requirements.

03

Mira

Technical Specifications Agent

Maps requirements to architecture, data schemas, APIs, and system constraints.

04

Leo

Cost Estimate Agent

Produces a transparent story-point quote tied to the technical output.

What you get

Built for AI-driven development

AI-Ready JSON PRD Output

Requirements ship as structured JSON or CSV for Cursor, Claude Code, Windsurf, and MCP-aware IDEs. One source of truth reduces context drift.

Story-Point Cost Estimation

A transparent story-point model, not a black-box number. Complexity is tied to the technical spec so founders and buyers can act on a defensible fixed-price quote.

API for Autonomous Agents

An authenticated API with OpenAPI 3.1 lets autonomous agents submit and retrieve requirements without the chat interface.

Focused 10–20 Minute Sessions

Each session is short enough to hold attention and long enough to extract real detail. It is structured for speed and precision, not open-ended chat.

Product Management Portal

Review, edit, and mark user stories and specs reviewed, plan your first release, and export to Jira, Markdown, or AI coding tools.

Who benefits

Built for teams that need clarity before code

01

Founders & startups

Scope and price an MVP before weeks of discovery calls, without writing code.

02

Product teams

Bridge product and engineering with requirements AI coding tools can execute reliably.

03

Agencies & studios

Turn inbound leads into structured briefs and quotes in one session instead of a two-month cycle.

04

AI-assisted dev teams

Feed Cursor and Claude Code structured context so builds stay maintainable as scope grows.

Why structured requirements

Requirements as Data, Plan and Context

Speed versus quality in vibe coding

Fast prompt-based builds without detailed requirements tend toward spaghetti code. They become harder to maintain, with token costs that climb on every change. ChatStack structures requirements as data so AI execution stays dependable.

Micro-planning versus comprehensive AI plans

Sprint-only planning keeps product teams away from the tools that excel at multi-phase execution. ChatStack’s RADPAC approach (Requirements as Data, Plan and Context) gives AI a reviewed, task-based plan it helped create.

Questions we get asked

ChatStack FAQs

What is ChatStack?

ChatStack is an AI PRD generator and software cost estimator. Its multi-agent interview produces structured JSON product requirements, user stories, technical specifications, and estimates for AI coding tools such as Cursor and Claude Code.

Who is ChatStack for?

Founders scoping an MVP, product managers bridging engineering silos, agencies quoting faster, and teams using AI-assisted development.

How long does a ChatStack session take?

Most sessions run 10 to 20 minutes. The interview is staged across four specialist agents so detail is captured without an open-ended chat.

What does ChatStack output?

ChatStack outputs a JSON PRD with user stories, requirements, technical specs, and a story-point estimate. You can export the results to Jira, Markdown, or AI coding workflows via MCP.

Can ChatStack estimate software development costs?

Yes. ChatStack maps the requirements and technical specification to story points, then produces a transparent software cost estimate for the proposed scope.

After your session, review and export outputs in ChatStack’s Product Management Portal. Read how we built ChatStack, or explore Enterprise AI Consulting if you want App Developer Studio to execute the brief as well as generate it.

See it for yourself

From concept to cost estimate and build-ready blueprint

Describe your idea or upload existing materials. ChatStack refines your requirements and generates a full project breakdown in minutes.

Try ChatStack