AI Prototype Generator
An AI prototype generator turns a plain-text description into a clickable product mockup in minutes. Superdesign goes one step further: every prototype is real rendered UI on an infinite canvas, so buttons press, tabs switch and hover states behave, and the handoff is pulling real code into your repo rather than rebuilding from a picture.
Start generatingUsed by individuals and teams at Google, Microsoft, ByteDance, Atlassian, Shopify, Stripe, Meta, Canva.
How do I generate a prototype from a text prompt?
Describe the flow
Prompt the whole journey, not one screen: "a 3-screen onboarding flow for a fitness app: welcome, goal selection, paywall". The screens generate together on the infinite canvas as one flow.
Click the real thing
The output is rendered front-end UI, so you can hover the buttons, switch the tabs and type in the inputs. Walking a stakeholder through it feels like a product, not a slideshow of linked images.
Iterate variants, then take the code
Branch a variant, like "make the paywall annual-first", and compare it next to the original. When the flow is right, the prototype is already front-end code: pull it into your repo through the Superdesign skill with Claude Code or Cursor.
Example prompts from the library
What builders say
Absolutely in love. The prompt is the key, refine your prompts.
@damian_lisz
Not just hype. Actually insane.
@chris_bgp Took a wireframe to a finished, animated design
3 landing pages in 8 hours.
@iamjohnellison Built with Superdesign + Claude
How does Superdesign compare to Figma Make, Visily and Banani?
These three are the page-one options, and they represent the three archetypes. Figma Make generates code-backed prototypes with logic and is the natural pick if your team already lives in Figma; usage is metered by Figma AI credits, which vary by seat and plan. Visily is the friendliest for non-designers, with a huge template library and Auto-Prototyping that links screens into navigable flows; its free plan includes 300 monthly AI credits with watermarked exports. Banani turns text into clickable multi-screen prototypes fast, with a free tier of 20 monthly credits plus a small daily refill. All checked June 2026.
The structural difference: most AI prototypes are static screens wired together with hotspots, which is fine for a walkthrough and breaks the moment someone asks whether the dropdown works. Superdesign prototypes are real rendered UI, so component behavior is genuinely testable, and there is no handoff cliff: the thing you prototyped is already front-end code your coding agent can pull into the repo.
| Superdesign | Figma Make | Visily | Banani | |
|---|---|---|---|---|
| The prototype is | Real rendered UI, interactions genuinely behave | A code-backed prototype inside Figma | Screens linked with hotspot navigation | Clickable multi-screen mockups |
| Multi-screen flows | Prompt a whole flow, screens land together | Prompt and iterate in chat | Auto-Prototyping links screens | Text to multi-screen flow |
| Comparing directions | Branch variants side by side on one canvas | Iterate linearly in one file | Duplicate and edit boards | Regenerate or edit per screen |
| Free tier (checked June 2026) | Free to start | Metered AI credits by seat and plan | 300 AI credits per month, watermarked exports | 20 monthly credits plus daily refills |
| After approval | Pull the code into your repo via your coding agent | Continue inside the Figma ecosystem | Figma export, export to code on paid tiers | Figma, code and image export |
| Best for | Prototypes that become the actual build | Teams already living in Figma | Non-designers and quick stakeholder walkthroughs | Fast, cheap early concepts |
What does "interactive" actually mean in an AI prototype?
Every tool on this search says "clickable prototype in seconds", and most mean the same thing: static screens wired together with invisible hotspots. Click here, jump to screen two. That is genuinely useful for a quick stakeholder walkthrough, and it falls apart the moment you want to test how the thing behaves: hovers do nothing, tabs do not switch, forms do not focus.
Superdesign generations are real rendered HTML and CSS, so the prototype behaves like a live front end: buttons press, tabs switch, inputs take focus. To be equally honest about the other direction: this is not a user-testing platform, there are no heatmaps or session recordings, and complex product logic still needs a real build. If you need analytics from 200 test sessions, that is a research tool's job, not ours.
Frequently asked questions
Is there a free AI prototype generator?
Yes, several. Superdesign is free to start: prompt a flow and generate your first clickable screens at no cost. To be fair to the field, Visily's free plan includes 300 monthly AI credits and Banani's includes 20 monthly credits, both with real limits on volume and exports as of June 2026.
Can AI generate an app prototype from just a text description?
Yes. Describe the product, the screens in the flow and the mood, and the prototype generates as connected screens on the canvas. The more specific the flow, like "welcome, goal selection, paywall", the closer the first pass lands.
What is the difference between an AI wireframe and an AI prototype?
Fidelity and intent. A wireframe is structure: boxes and hierarchy for deciding layout. A prototype is behavior: screens you click through to evaluate a flow. Start with the AI wireframe generator if structure is still open, then prototype the flow once it is.
Can I prototype a mobile app with an AI generator?
Yes. Prompt for mobile screens and the flow renders at mobile size. Honest caveat: the output is web-rendered UI, not a native binary, which is exactly what you want for evaluating a flow before you invest in the native build.
Can I export the prototype to code or Figma?
The prototype is already front-end code, and the Superdesign skill hands it to Claude Code or Cursor to implement in your repo. If your endgame is a Figma file rather than working code, Visily and Banani both offer Figma export and may fit that workflow better.
Do I need design skills to use an AI prototype generator?
No. If you can describe the flow, you can prototype it. A useful prompt names the product, the screens and the vibe, and the prompt library is full of examples proven to generate well.