An AI prototype generator that builds apps you can run.
Describe the product in a sentence. An agent builds a working React prototype on the canvas while you watch, and your team can click it, test it and steer it in the same place.
Updated · By Thijs Verreck
An AI prototype generator turns a description of a product into a working prototype. You say what the screen should do, an AI agent writes the code, and you get something people can click, type into and test, rather than a static picture or a block of code you have to assemble somewhere else.
Prototyper is an AI prototyping tool for anything visual: your agents build running apps, wireframes and slide decks on a shared canvas with your team, from real design rules, not AI slop. As a prototype generator, that means each prototype is a running React app in a window on the canvas, next to the brief that asked for it.
Try this prompt
Paste any of these into the composer as written, or swap the nouns for your own product. Each one asks for something an agent can build and you can test in one sitting.
Build an interactive pricing calculator with a seats slider, a monthly and annual toggle, and a live total. Show the annual saving.
Build a three-step onboarding flow for a team chat app: name, invite teammates, pick channels. Give me three takes side by side: single column, split with a preview, and progress dots.
Build a support dashboard with a ticket table and filters for status and priority. Include the empty, loading and error states.
Turn the sketch I selected into a working settings page. Keep my layout, use real labels, and disable the save button until something changes.
How to generate a prototype with AI
- 01
Describe it, or sketch it.
Write what the screen is for and what someone does on it. If you have a rough drawing, draw boxes on the canvas and send the selection to the agent.
- 02
Watch it build.
The agent writes React in a window on the canvas, so the team sees the prototype take shape instead of waiting on a spinner.
- 03
Ask for three takes.
Exploring costs one sentence. Put the versions side by side and compare them running, not described.
- 04
Steer by pointing.
Select the part that is wrong, or leave a sticky note next to it, and tell the agent what to change.
- 05
Test it with people.
Hand the running prototype to a user. Whatever they can't figure out is what you fix next.
What a generated prototype should give you
A prototype exists to be tested, so the first thing to check is whether it runs. A picture of a form can settle where the button goes; only a form that accepts input can show you that the error message is confusing. Prototyper's prototypes are React apps, so the inputs take real text, the state holds, and the code is there for anyone on the team who wants to read it.
The second thing is where the prototype lives. In a chat thread, each version scrolls past the last. On a canvas, the brief, the sketch and every take stay side by side, and the whole team sees the same thing at the same time.
Where to go next
Weighing your options
We compare Prototyper with v0, Lovable, Bolt and Figma Make on separate pages, each with its sources and the date we last checked them.
The short version
It runs
Every prototype is a React app you can click, type into and test.
Three takes in one ask
Compare versions side by side on the canvas before anyone gets attached to one.
Your team on one canvas
Point at the screen and leave sticky notes instead of re-explaining in chat.
Frequently asked questions
- What is an AI prototype generator?
- A tool that turns a description of a product into a working prototype with AI. You describe the screen and what it should do, an agent writes the code, and you get something people can click and test.
- Do I need to know how to code?
- No. You describe the outcome in plain words and steer by reacting to the running result. The code stays readable for anyone on the team who wants to open it.
- What does Prototyper build prototypes in?
- React. Each prototype is a React app that compiles and runs in a window on the canvas, so what you test is real behaviour rather than linked screenshots.
- Can I use my own AI agent?
- Yes. Claude Code, Codex, Cursor and other agents that speak MCP can connect to a workspace and build on the canvas, on the subscription you already have.
- How is this different from v0, Lovable or Bolt?
- Our comparison pages go through each one with sources. The short answer is the canvas: in Prototyper the prototype, its versions and the brief sit side by side on a surface your team shares, and you steer by pointing at the running screen.
Try it on the canvas.
Free to start, no credit card. Bring the agent you already have.