DEMO v2  ·  Pre-session overview

From raw idea to working blueprint — AI-orchestrated.

A single product concept flows through 6 AI-powered phases to produce scoped requirements, personas, user stories, architecture, and live UI designs.

The Pipeline
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In practice: validate problem-market fit first. Is the pain real? Is the market big enough?
⚙ Config
  • Focus area
  • Company sector
  • Target geography
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In practice: run a competitive landscape scan. Who else is building this? What's the white space?
📋 Scope
  • MECE decomposition
  • 8 functional items
  • NFRs defined
👤 Discovery
  • 3 personas
  • Current-state journeys
  • Pain points ranked
📝 Stories
  • 4 epics
  • 8 user stories
  • MoSCoW priorities
!
In practice: run a feasibility spike first. Model LLM API costs at scale before committing to the architecture.
🏗 Architecture
  • System context
  • Tech stack
  • 4 ADRs
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In practice: plan your data flywheel early. How does the product get smarter with usage? Design this before you write a line of code.
🎨 Designs
  • 3 UI screens
  • Google Stitch MCP
  • Mobile + desktop
💻 Coding
  • Code scaffolding
  • Service stubs
  • CI/CD pipeline
🚀 Prototype
  • Deployed to Vercel
  • User testing ready
  • Feedback loop
Claude Gemini ChatGPT Kimi
Claude Gemini ChatGPT Kimi
Claude Gemini ChatGPT Kimi
Claude Gemini ChatGPT Kimi
Claude Stitch MCP Maps API
Claude Cursor / Copilot
Vercel Railway

Hover the red ! pins to see what a real startup would add at each stage. Then click below to run the live demo.

Start Demo