The AI app builder
A real, full-stack web app generated from your shared research, PRD, and design. Front end, back end, data, and auth, a codebase you own and can keep building on.
The prototype trap
A pretty demo isn't a product
Most AI builders generate a slick front-end with fake data. It demos well and falls apart the moment you need a real database, real auth, or a feature the template didn't anticipate. You end up rebuilding it properly anyway.
The Code agent starts from your actual research, PRD, and design, so it writes a full-stack application, not a facade. The result is a codebase you can extend, deploy, and hand to engineers, because it was built like real software from the first line.
What the Code agent does
A working app, top to bottom
It builds every layer your product needs and wires them together, so what you get runs, not a front end waiting for a back end that never comes.
Full-stack, not front-end mockups
Generates UI, application logic, API routes, and data models together, a working app, not a clickable shell with fake data.
Real data layer
Stands up a database schema and the queries behind it, so your app stores, reads, and updates real records from day one.
Auth and access built in
Wires up authentication and the access rules your PRD describes, instead of leaving security as a post-launch scramble.
Coherent architecture
Produces an organized, conventional codebase a human team can read, extend, and maintain, not a tangle you have to unpick.
From design to a running app
Inherit the full context
The Code agent reads the research, PRD, and approved design, so it builds the product you actually specified, screen for screen.
Generate the working app
It writes the front-end, back-end, data models, and integrations as one coherent codebase, wired to the flows you approved.
Iterate, then own it
Refine features in plain language, sync to your GitHub, and export the whole codebase. It's a real project you keep and control.
What the Code agent hands you
Production web app
A deployable web application built on a modern, conventional stack, real code, not a sandbox demo.
Back end & APIs
Application logic and API endpoints that implement your user stories end to end.
Database & models
A schema and data layer designed around the entities in your spec.
Ready to extend
Clean, readable structure your team can pick up and keep building on immediately.
Step four of the pipeline
Code is where the context becomes a product
Everything upstream converges here. From the same context you can also generate a native mobile app and export the whole thing to deploy on your own domain.
Frequently asked questions
What is an AI app builder?
An AI app builder turns a description of a product into working application code. ProductOS goes further than most: its Code agent builds from the shared research, PRD, and design you already produced, so it generates a real, production web app that matches your spec instead of a generic template.
Is the output a prototype or a real app?
A real app. The Code agent generates a full-stack codebase, front-end, back-end, APIs, data models, and auth, not a clickable prototype with placeholder data. It's built on a conventional stack a human team can read, extend, and maintain.
Do I own the code it generates?
Yes. ProductOS syncs to your own GitHub and lets you export the entire codebase at any time. There's no export wall and no lock-in; you can deploy it on your own infrastructure and keep it forever. See Deploy & Own Your Code for the details.
Why does building from shared context matter?
Because the code inherits the research, PRD, and design instead of starting from a fresh prompt, it reflects decisions already made and validated. That's the difference between an app that matches your actual requirements and one you have to reconcile with them after the fact.
Build a real app
Generate a production web app from your research, PRD, and design, full stack, coherent architecture, and a codebase you can keep, extend, and deploy anywhere.