Paste a link or describe it. Our agents take it apart with REA, write a spec of how it behaves, and rebuild it from scratch: a real repo and a live preview. Or turn its public API into a Plugboard skill your AI agent can use.
A working version you own, built clean-room from how the app behaves: screens, flows, what it stores, what it calls. You get a repo you can run and deploy, a live preview, tests, and a report on what we rebuilt and what we left out.
Your own name and look
Plain code, zero dependencies
Tested in a real browser
Plugboard
A ready MCP server and agent skill, so Claude or any MCP-speaking agent can use that app. Built from the service's public API (or your own account through it), with setup docs, read-only by default, keys kept on your machine.
Official MCP SDK
Tested with a real MCP client
Skill folder + setup for any client
How it works
Seven steps you can watch live.
01
Capture
A sandboxed browser opens the public page like a visitor: records requests and storage key names, tries the main controls. No logins, no consent clicks.
02
REA analysis
REA attaches to the live page and reads its scripts: endpoints, routes, frameworks, storage.
03
Spec
An analyst writes what the app does: screens, flows, data. Never code, copy, images or brand.
04
Build plan
Files, features and the builder: an AI agent when one is connected, otherwise a tested template.
05
Build
The builder sees only the spec and writes new code with a new name, or generates the MCP server and skill.
06
Test
Unit tests, a headless browser replaying the observed flow, or a real MCP client calling a tool.
07
Preview
A live preview on its own sandboxed origin, the repo zip and the report.
Clean-room by design
The builder never sees the original.
Two separate steps with a wall between them. The analyst looks at the app from the outside and writes a spec. The builder gets only the spec, without even the original's address, and writes fresh code. Brand words of the original are blocked and checked in the output.