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 through conversation. dMaya is built around this workflow: generate prototypes fast, iterate with your team, share with clients for approval, and export the result to code when everyone is aligned.

From Concept to Prototype in Seconds

Your team just finished a discovery workshop. You have sticky notes, a rough brief, and a clear idea of what the product should do. In a traditional workflow, someone opens Figma and spends days building the first visual draft. With dMaya, you describe those screens in the chat and get a complete prototype on your canvas in seconds.

The output is not a basic wireframe. It is a polished, production-quality UI design with considered layout, color, typography, and spacing. It looks like something a senior designer crafted over several days. And because the workflow is conversational, you can keep refining without starting from scratch.

Want the navigation to be horizontal instead of a sidebar? Need the pricing cards to show annual pricing first? Just ask. Each change is additive. The AI remembers context and updates the design while keeping everything else intact.

Built for the Swedish Tech Ecosystem

Sweden punches above its weight in tech. Stockholm is one of Europe's leading startup hubs, with companies like Spotify setting the standard for product design worldwide. Klarna redefined how fintech products look and feel. That legacy creates a market where design quality is not optional. It is expected.

Digital agencies across Stockholm, Gothenburg, and Malmo serve clients who know what good design looks like. Product teams at Swedish companies are held to high visual standards by users who grew up with well-designed Nordic products. Freelance designers compete in a market where polish is the baseline.

dMaya matches that quality bar while compressing the timeline. An agency in Sodermalm can generate a first concept during the client kickoff, share the interactive preview before the call ends, and start collecting feedback within the hour. A product team at a Kista-based SaaS company can explore four different onboarding flows before lunch and present the strongest option to stakeholders in the afternoon.

The Full Workflow

1. Describe your screens. Type a plain language description of what you need. A fintech dashboard, a marketplace checkout flow, an admin panel for content management. Be detailed or keep it high-level.
2. Generate the prototype. dMaya creates complete UI screens on your canvas within seconds. Layout, color, typography, spacing, and responsive behavior are all handled automatically.
3. Iterate through conversation. Refine the design by chatting with the AI. Each update builds on the existing design. You never lose work.
4. Present to your team or client. Share an interactive preview link. Your client opens it in any browser, sees the real design, and leaves comments directly on the screens. No account needed.
5. Export to code. Once approved, export as HTML, CSS, and Tailwind. Hand it to your dev team, or connect to Cursor or Claude Code through MCP for direct integration into your development workflow.

The full cycle can happen in a single session. That is a meaningful change from waiting days for an initial concept and then going through multiple revision rounds.

Consistency That Scales

The biggest weakness of most AI-generated prototypes is inconsistency. Every screen looks a bit different. Colors vary, spacing changes, buttons do not match across pages. The result feels assembled rather than designed.

dMaya solves this with design system awareness. Prototypes use shared tokens for color, spacing, and typography. Components are reusable across screens. When you add new screens to an existing project, they inherit the design system automatically. Every screen feels like part of the same product.

Swedish teams understand why this matters. When you present to clients who have worked with companies like Spotify and Klarna, they notice inconsistencies immediately. Consistency is what makes a prototype feel real and builds confidence in your direction.

One Step in Your Stack

dMaya is not trying to replace everything. It handles the design phase. Your team keeps its existing tools for development, deployment, and communication. dMaya slots in before the coding step. It gives designers and PMs the same kind of AI-powered speed that developers already have with tools like Cursor and Claude Code.

Explore dMaya as an AI design tool for teams, or read about the vibe design approach that powers it.

Frequently Asked Questions