How to Use AI in UI Design: What Actually Works

AI design tools are genuinely useful, and most articles about them are either breathlessly optimistic or reflexively dismissive. Neither is helpful.

Here's an honest look at where AI helps in UI design, what to use, and what it still can't do.

The right mental model

AI tools are a starting point, not a finishing line. The most productive way to use them: generate a rough scaffold quickly, then apply your judgment to shape it into something good.

The output of most AI design tools is closer to a wireframe with a nice coat of paint than a finished design. It looks complete at first glance. The moment you examine it critically — typography hierarchy, spacing consistency, accessibility, the actual UX logic — gaps appear.

Your job isn't to evaluate AI output against the question "did it nail it?" It's to evaluate it against "how much faster does this get me to something good?" That framing is more useful.

Figma's built-in AI features

Figma has been adding AI features steadily. The current set includes:

Figma AI (Make Designs) — describe a screen and Figma generates a wireframe-level layout. Useful for: quickly scaffolding a screen concept you want to iterate on, generating a first pass at a flow you haven't started yet, exploring multiple layout options quickly.

Rename Layers — AI-powered layer renaming that actually understands what layers contain. This sounds small but saves real time in complex files.

Copy edit suggestions — reviews UI text for clarity and suggests improvements.

Search — semantic search across your file to find components and content by description.

The "Make Designs" feature produces generic layouts. Don't expect nuanced UX decisions or brand-specific output. Expect something in the right ballpark that you'll significantly rework.

UX Pilot for screen generation

UX Pilot is a standalone tool (and Figma plugin) that generates UI screens from prompts. It's more sophisticated than Figma's built-in generation for screen-level work.

You can prompt it with: "Dashboard for a project management tool. Show active projects, upcoming deadlines, and team activity. Dark mode."

The output is a plausible-looking UI screen that you can take into Figma and revise. It gives you:

• A starting composition to react to (often faster than starting from a blank frame)
• Possible layout approaches you might not have considered
• A rough indication of what the content hierarchy could be

UX Pilot starts at around $16/month. It's worth trying during any project phase where you're generating initial concepts quickly.

Try UX Pilot

v0 for React UI components

v0 by Vercel is different from screen generation tools. It generates working React + Tailwind CSS UI components from a text prompt.

You describe the component: "A pricing table with three tiers — Starter, Pro, and Enterprise. Pro tier should be highlighted as recommended. Include a monthly/annual toggle."

v0 outputs production-quality JSX you can copy into a codebase. The components are styled, accessible, and built on shadcn/ui conventions.

For designers who work closely with engineering, v0 is a useful bridge. You can generate a component, share the output with a developer, and both have a concrete reference point. For designers who code, v0 can get you to a working prototype of a React component in minutes.

Try v0 Free

Cursor for building the actual product

Cursor is an AI-powered code editor. It's not a design tool — it's for designers who want to cross into building, or for engineer-designer collaborations.

The relevant use cases for designers:

• You've designed a component in Figma and want to turn it into working code yourself
• You want to build a quick interactive prototype with real data instead of a Figma simulation
• You want to ship your own portfolio site or landing page without hiring a developer

Cursor's AI can look at your design, understand the structure, and help you write the corresponding code. It supports most frameworks: React, Next.js, SvelteKit, Vue.

Try Cursor

The barrier to using Cursor well is some coding knowledge. It amplifies what you can do with code — it doesn't replace needing to understand what you're building.

What AI still can't do well

Nuanced UX decisions. AI can generate a checkout flow, but it won't tell you that your specific users tend to abandon when asked for their phone number too early, or that your business requires capturing a specific field that creates friction. Those decisions require understanding your users and your product.

Brand expression. AI-generated UI tends toward safe, generic aesthetics. It doesn't understand your brand voice, your visual language, or what makes your product feel distinctly like itself. Visual differentiation is still a human design skill.

System-level thinking. AI generates screens, not systems. It doesn't understand how this component needs to behave across eight different states, or how it connects to your existing design system tokens. That coherence is your job.

Trade-off reasoning. Every design decision involves trade-offs. AI doesn't weigh "this is clearer for new users but adds friction for power users" — it just generates what it was prompted for.

Use AI to generate raw material and accelerate exploration. Apply your craft and judgment to make it good.