AI Prototype Generator

An AI prototype generator is a tool that turns plain language descriptions into interactive UI prototypes. You type what you need, the AI builds it visually, and you refine it through conversation. dMaya is built for this exact workflow: generate prototypes fast, iterate with your team, present to clients, and export the approved designs to code.

From a Brief to a Prototype in Under a Minute

You just got off a client call. They described a booking platform with a calendar view, a user profile section, and an admin dashboard. In a traditional workflow, you would spend hours in Figma before having anything to show. With dMaya, you type that description into the chat and get a complete prototype on your canvas in seconds.

The output is not a rough wireframe. It is a polished, production-quality UI design with proper layout, colors, typography, and spacing. It looks like something a designer spent a full day building. And because it is generated through conversation, you can keep refining without starting over.

Want the sidebar to be collapsible? Say so. Need the calendar to show a week view instead of a month view? Just ask. Each change builds on what is already there. The AI remembers the context and updates the design while keeping everything else intact.

How Norwegian Teams Use This

Norway has a compact but highly capable tech industry. Digital agencies in Oslo compete for the same pool of enterprise clients. Product teams at companies from the energy sector to maritime tech are building internal tools and customer-facing platforms. Freelance designers and consultants serve clients across the country.

What all of these groups share is a need for speed without sacrificing quality. Norwegian clients expect polished, professional deliverables. They also expect fast turnarounds. Those two things used to be in tension. Generating prototypes with AI resolves that tension.

An agency in Oslo can generate a first draft prototype during a client call, share the preview link before the meeting wraps, and start collecting feedback the same day. A product team in Stavanger can explore three different dashboard layouts before lunch and present the best option to stakeholders in the afternoon. A freelancer in Trondheim can take on more projects because the production bottleneck is gone.

The Full Workflow

1. Describe your screens. Type a plain language description of what you need. A SaaS dashboard, a mobile onboarding flow, an e-commerce checkout. Be as specific or as general as you like.
2. Generate the prototype. dMaya creates complete UI screens on your canvas in seconds. Layout, color, typography, and spacing are all handled automatically.
3. Iterate through conversation. Refine the design by chatting with the AI. Every change is additive. You never lose your progress.
4. Present to your team or client. Share an interactive preview link. Your client opens it in their browser, sees the real design, and leaves comments directly on the prototype. No account needed on their end.
5. Export to code. Once the design is approved, export as HTML, CSS, and Tailwind. Hand it to your development team, or connect to Cursor or Claude Code through MCP for direct integration.

The entire loop can happen in a single sitting. Compare that to the traditional cycle of waiting days for a first draft, then going through multiple rounds of revisions.

Consistency Across Screens

One of the biggest problems with AI-generated prototypes is that every screen looks slightly different. Colors drift, spacing changes, buttons do not match. The result feels like a collage instead of a product.

dMaya solves this with design system awareness. Your prototypes use shared tokens for color, spacing, and typography. Components are reusable across screens. When you add a new screen to an existing project, it automatically picks up the design system. Every screen looks like it belongs to the same product.

This matters when you present to clients. They notice if the button on page three looks different from the button on page one. Consistency is what makes a prototype feel real and builds confidence in your work.

Fits Into Your Existing Workflow

dMaya is not trying to replace your entire stack. It handles the design phase. Your team keeps using whatever tools it already relies on for development, deployment, and communication. dMaya slots in before the coding step, giving designers and PMs the same kind of AI-powered speed that developers already have with Cursor and Claude Code.

Learn more about dMaya as an AI design tool for teams, or read about the vibe design approach that makes this possible.

Frequently Asked Questions