PRD to prototype
An interactive prototype. From your spec.
Prototype generates a working, clickable prototype from your PRD. Multiple pages, real components, real flows. The Product Manager produces something the design team can react to in the same hour the spec is finished.
A real prototype run from the same PRD, sped up as marked.
Before & after
From a spec the design team has to imagine to a prototype they can click.
Before Thinkr
- The spec describes screens in prose; everyone pictures something different.
- Design starts from a blank canvas days after the PRD is done.
- Feedback waits until there is something to click, usually weeks later.
- The Product Manager has no way to test the flow before engineering builds it.
With Thinkr
- A working, multi-page prototype is generated straight from the spec.
- Design reacts to something real in the same hour the PRD is finished.
- Click through the flow and catch the gaps before anyone writes code.
- Click through it in the browser, no build, no deploy, no waiting.
It plans before it builds
Prototype maps the whole structure first (every screen, every flow, every interaction) then builds the pages in parallel. You see the plan and can edit the page list before a single screen is generated.
- Plans every screen and flow before building
- Builds all pages in parallel
- Edit the page list before generation runs
Refine via chat
Describe the change. "Add a confirmation modal after submit." "Change the CTA copy to ‘Continue.’" The prototype updates immediately.
- Natural-language refinement of components, flows, copy
- Only the affected pages are regenerated, not the whole prototype
Interactive preview
Click through the prototype in-browser. Test the flow before the design team picks up the spec. Test the spec before engineering picks it up.
- Browser-based interactive preview
- Multi-page navigation
- Real component interactions (modals, forms, transitions)
How it compares
The only one that reviews the spec before it builds the screens
Every one of these will take your PRD as an attachment. None of them publishes a step that reads it back to you first. Here is what each one publishes about where its build starts.
| Reviews the spec first? | Where the build starts | |
|---|---|---|
| Thinkr | Yes, the 11-pass critique | The finished, critiqued PRD in the same workspace; plans every screen and flow, then builds them in parallel |
| v0 | No | “Ask v0 to build…” — a prompt in the chat, or wireframes, screenshots and Figma files to clone |
| Lovable | No | A natural-language description; a document can be attached “to build from, like a product brief” |
| Figma Make | No | Design context plus a prompt on the canvas; attach Figma frames, PDFs and text files, or “any project reference—like a PRD” |
Competitor details from each vendor’s own public pages, verified 16 October 2026. Reflects what each tool publishes about its inputs and its review process, with no invented benchmarks.
Questions
Frequently asked
Can AI build a prototype from a PRD?
Yes. Prototype plans every screen and flow first, then generates a clickable, multi-page HTML prototype straight from your spec, something the design team can react to in the same hour the PRD is finished.
How is this different from v0 or Lovable?
Those build from a fresh prompt. Prototype builds from your finished, critiqued PRD (the same spec the rest of Thinkr works from) so the result reflects the actual requirements instead of a new guess.
Can I change the prototype after it is generated?
Describe the change in chat ("add a confirmation modal after submit") and only the affected pages regenerate. Click through the result in the browser to test the flow before engineering picks it up.
Methodology and trust
Why the prototype is built from the spec, and is your PRD private?
Prototype exists because of one mistake I kept repeating: the prototype would sell the spec’s gaps to the room before anyone had read the spec. So it builds from the critiqued PRD rather than a fresh prompt, and the order is the whole point — review the spec, then render it. The screens illustrate named sections; they are not a second source of truth. When a review changes a requirement, the document is the thing you go back and edit.
Galang Aulia, FounderMore about the team →
Your data stays yours. Your PRDs, and the prototypes generated from them, are never used to train AI models. The stack runs on Google Gemini, where customer content is excluded from model training under its enterprise terms, and you can delete a workspace and its sources anytime.
Further reading
- The PRD review checklist a senior PM actually runs
A prototype exposes exactly the gaps this checklist looks for.
- How to Write Testable Acceptance Criteria
What has to be true before a screen is worth building.