Figma AI Features: The Complete Guide for UX Designers…

Figma AI Features: The Complete Guide for UX Designers in 2025

Figma used to be a drawing tool. A very good one — but ultimately a canvas where designers placed rectangles and typed labels. That era is over.

Essential AI UI Generators in 2025: v0, Bolt, and Lovable for UX Designers

In 2025, Figma has repositioned itself as an AI-powered design platform. The shift isn't cosmetic. AI is now woven into every phase of the design workflow: from the first wireframe scratch to the final handoff annotation. If you haven't explored Figma's AI features yet, you're leaving a significant amount of speed and quality on the table.

This guide covers every major Figma AI feature available in 2025, with practical how-to instructions for each, honest limitations, and a clear picture of where Figma AI fits — and doesn't fit — in a modern UX workflow.

What Changed: Figma's AI Transformation

The Figma AI suite, rolled out progressively from late 2024 into 2025, isn't a single feature — it's a layered set of capabilities embedded across the product. You'll find AI in the right-click context menu, the toolbar, the prototype panel, and even inside Figma Slides. Figma AI costs credits for most generation tasks. Some features are available on the Starter plan with limits; the full suite requires a Professional or Organization plan.

What makes Figma AI distinct from standalone AI design tools is context-awareness. Figma AI reads your local styles, variables, components, and auto-layout rules. When it generates a design, it doesn't produce a generic output — it tries to use your design system.

Let's go feature by feature.

1. Make Designs: Generate UI from a Text Prompt

Make Designs is the flagship Figma AI feature. Select any frame or component, open the AI panel (right-click → "Make Designs" or use the toolbar shortcut), type a description, and Figma generates a UI design directly on your canvas.

How it works

Figma reads your active file's local styles (color, typography, effects) and component library before generating. Describe what you want in plain language, and the AI produces a multi-layer Figma frame with auto-layout applied — not a flattened image.

To use Make Designs:

Create a frame at your target viewport size (e.g., 1440 × 900 for desktop).
Select the frame.
Open the Figma AI panel from the toolbar (the sparkle icon) or right-click → Make Designs.
Type your prompt in the text field.
Choose how many variants to generate (1–4).
Click "Generate."

The output arrives in a few seconds as editable Figma layers. You can regenerate, refine with a follow-up prompt, or start editing immediately.

Prompt Formula for Make Designs

The quality of your output scales with the quality of your prompt. Use this structure:

[Role] + [Screen/Component] + [Context] + [Constraints]

Here are three real examples:

Prompt 1 — Dashboard card:

"Design a data dashboard card component for a SaaS analytics product. Show monthly revenue with a sparkline chart, percentage change indicator, and a "View Report" CTA. Use the existing primary color and heading styles from this file. Keep it under 320px wide."

Prompt 2 — Onboarding screen:

"Generate a mobile onboarding screen (375px wide) for a meditation app. Step 3 of 5 — asking for notification preferences. Include an illustration placeholder, a headline, two toggle options, and a primary button. Use our brand blue (#1A6BFF) and Inter typeface."

Prompt 3 — Empty state:

"Create an empty state component for a task management web app. The user has no tasks yet. Include a friendly illustration placeholder (240×180), a heading, a subheading, and a primary CTA button that says 'Create your first task.' Match the 8px spacing system already used in this file."

The more specific your constraints — color values, spacing scale, component names — the more useful the output.

2. First Draft: AI Wireframing from a Brief

First Draft is Make Designs applied to low-fidelity wireframing. Instead of generating polished UI, it produces greyscale wireframe layouts from a plain-language description of a screen or user flow.

How to use First Draft

First Draft works best when you feed it a user story or flow description rather than a visual specification.

Open a new page or section in your Figma file.
Access First Draft from the AI panel (toolbar → "First Draft").
Describe the screen and user goal: "A checkout flow — step 2 of 3. The user is reviewing their cart. Show a product list with quantity controls, a promo code input, an order summary sidebar, and a 'Proceed to Payment' button."
Figma generates a wireframe-style layout with placeholder components.
Duplicate the frame, switch to Make Designs, and use the wireframe as a structural reference for hi-fi generation.

First Draft dramatically shortens the time from discovery notes to shareable wireframes. A screen that might take 20–30 minutes to wireframe manually comes out in under two minutes with First Draft — imperfect, but directionally correct and ready to discuss.

3. AI Design Critique: Instant Feedback on Your Work

AI Design Critique is one of the more underrated Figma AI features. Select any frame and invoke Design Critique from the AI panel. Figma analyzes the layout and returns structured feedback across several dimensions: visual hierarchy, spacing consistency, contrast ratios, and alignment.

How to use it effectively

Design Critique is not a replacement for human feedback — it's a pre-flight check. Use it before presenting work to stakeholders or sending screens to a developer.

Select a frame or component group.
Open AI panel → "Design Critique."
Read through flagged issues. Each issue links to the specific layer or element in question.
Address obvious issues (spacing inconsistencies, low-contrast text) before the review meeting.

Figma's AI Design Critique is particularly good at catching spacing violations against your defined spacing tokens and flagging type sizes that break your scale. It's less reliable for nuanced UX feedback — it won't tell you if your information architecture is confusing or your CTA copy is weak.

4. Figma Slides AI: Presentations That Design Themselves

Figma Slides — Figma's native presentation tool — has AI features built in that let you generate slide content and layouts from a topic prompt.

What it does

Open Figma Slides and select "Generate with AI." Provide a topic, audience, and tone. Figma generates a complete slide deck structure with placeholder content, appropriate layout templates, and suggested imagery prompts. You can also select an existing slide and ask AI to rewrite the copy, suggest a visual layout, or summarize bullet points.

Figma Slides AI is genuinely useful for design presentations, sprint reviews, and stakeholder updates where you need a polished deck fast. The design consistency between Figma frames and Figma Slides is seamless — drop your actual design screens into the generated deck structure.

5. Design Lint AI: Catch Inconsistencies at Scale

Design Lint (now with AI enhancement in 2025) goes beyond the legacy plugin behavior of flagging detached components. The AI layer adds semantic understanding: it identifies when a component is technically attached but used in a contextually wrong way (e.g., a "destructive" button style applied to a "save" action).

How to run Design Lint AI

Select a page or frame group.
Open the AI panel → "Design Lint."
Review the categorized issues: detached components, style violations, naming inconsistencies, and the new AI-flagged semantic mismatches.
Apply suggested fixes with one click where available.

For large design files with many contributors, Design Lint AI is a significant time saver before handoff. Run it as part of your quality gate before moving screens to the "Ready for Dev" section.

6. AI Prototype Flows: Smarter Interaction Suggestions

Figma's prototype panel now includes AI-assisted flow suggestions. When you connect frames with prototype arrows, Figma's AI suggests interaction types, animation curves, and timing based on the screen content and relationship.

For example, connecting a list screen to a detail screen will prompt Figma to suggest a "Push right" slide transition at 300ms — a standard navigation pattern. Connecting a modal trigger to a modal frame suggests an "Overlay" interaction with a fade-in.

How to activate AI prototype suggestions

Enter prototype mode (P key).
Draw a connection from one frame to another.
In the interaction panel, look for the "Suggested" badge next to interaction options.
Accept, modify, or ignore the suggestion.

This feature won't design complex micro-interactions for you, but it cuts the mechanical work of configuring common transitions — a real time saver on larger flows with dozens of connections.

7. Figma AI + Variables and Design Tokens: The Real Power

The most underestimated Figma AI capability in 2025 is how deeply it integrates with Figma Variables. When you have a properly structured variable collection — color modes, spacing scales, typography tokens — Figma AI uses those variables when generating output from Make Designs or First Draft.

This means generated screens won't hardcode #1A6BFF — they'll reference your color/brand/primary variable. When you switch to dark mode, generated components switch too.

Setting this up correctly

Structure your variables before using Make Designs heavily. Use collections like color, spacing, typography, and radius.
Name variables semantically (color/background/surface, not gray-100).
Publish your local styles and variables to your team library.

When Figma AI has a clean variable foundation to work from, the generated output becomes genuinely usable rather than requiring a full rework to apply your design system. For a deep dive into this setup, the guide on design tokens with Figma Variables and Style Dictionary covers the structure in detail.

Figma AI vs. Other AI Design Tools: Comparison

Figma AI isn't the only player in this space. Here's how it stacks up against the most commonly used alternatives.

Tool	Best For	Output Type	Design System Aware	Code Export	Pricing
Figma AI	Brand-consistent UI inside Figma	Editable Figma frames	Yes (reads your variables/styles)	Via Dev Mode (CSS, iOS, Android)	Credits per generation; Professional plan required for full access
v0.dev	React component generation from prompts	Production-ready React/Tailwind code	Partial (via shadcn/ui conventions)	Yes (copy-paste ready)	Free tier + Pro at $20/month
Lovable	Full-stack app prototyping	React app with backend	No (generic component library)	Yes (full codebase)	Free tier + Pro at $25/month
Adobe Firefly	Image/illustration generation within design	Rasterized images, vectors	No	No	Included in Creative Cloud plans; generative credits

The core difference: Figma AI generates designs inside your design system. v0 and Lovable generate code from scratch. If you need a brand-consistent hi-fi screen for a stakeholder review, use Figma AI. If you need a working prototype developers can ship, use v0 or Lovable. For a detailed breakdown of those code-generation tools, see the AI UI generators comparison for UX designers.

Integrating Figma AI Into a Real Design Workflow

The real value of Figma AI isn't any single feature — it's using the features in sequence across the design process.

Discovery → Wireframes → Hi-Fi → Critique → Handoff

1. Discovery After user interviews and requirements gathering, you have a list of screens and user goals. Organize these into a feature list.

2. Wireframes with First Draft Use First Draft to generate low-fidelity wireframes for each screen from your user story notes. Review with the team to validate structure and flow before investing in visual design. One round of First Draft can produce 10–15 wireframe screens in under an hour.

3. Hi-Fi with Make Designs Take the approved wireframe structures and use Make Designs with specific prompts referencing your design system. Generate 2–4 variants per screen and select the strongest direction. Edit layers directly — Make Designs gives you a starting point, not a final answer.

4. AI Design Critique Before the design review, run Design Lint AI across all screens to catch spacing violations and detached components. Then run AI Design Critique on key screens to surface contrast and hierarchy issues. Fix what makes sense. Document intentional decisions that the AI flagged.

5. Prototype and Handoff Use AI prototype flow suggestions to wire up transitions quickly. In Dev Mode, your variables and auto-layout ensure the generated code annotations reference your token names. Developers get consistent, semantically correct specs.

For teams working on AI-native product experiences — not just using AI to design, but designing for AI — the principles in designing for agentic AI interfaces are worth reading alongside this workflow.

When NOT to Use Figma AI

Figma AI is a powerful accelerant, but it has real boundaries. Knowing when to skip it saves you more time than using it indiscriminately.

Skip Figma AI for:

Complex interaction design. AI prototype suggestions handle standard transitions, but gesture-driven interactions, physics-based animations, and stateful micro-interactions require hands-on prototyping in Figma or a dedicated tool like ProtoPie.
Accessibility-first design work. Design Critique AI will flag low contrast, but it won't validate focus order, screen reader context, or ARIA semantics. Accessibility auditing requires manual review and specialized tools. Don't let AI Critique give you false confidence here.
Bespoke illustration and brand art direction. Figma AI doesn't generate custom illustration. If your product requires a distinctive illustration style — not a placeholder — that's human creative work or a purpose-built image generation tool like Adobe Firefly.
Complex data visualization. Make Designs can generate a basic chart layout, but accurate, accessible, and interactive data visualizations require careful manual design and development. Generated chart components are starting points at best.
Design system architecture decisions. AI can help you apply a design system faster, but it cannot architect one correctly for your organizational needs. The decisions around token structure, component scope, and governance are still human work. The design systems guide covers this in depth.

Frequently Asked Questions

What AI features does Figma have in 2025?

Figma's 2025 AI features include Make Designs (generate UI from text prompts), First Draft (wireframe generation from user stories), AI-powered Design Critique (structured visual feedback), Figma Slides with AI content generation, Design Lint AI for consistency checking across large files, and AI-assisted prototyping flow suggestions in the prototype panel.

Is Figma AI free to use?

Some Figma AI features are available on the free Starter plan with usage limits, while advanced features — Make Designs at scale, Figma Slides AI, and Design Critique AI — require a Professional or Organization plan. Figma AI consumes credits per generation action. Professional plans include a monthly credit allocation, with additional credits available for purchase.

How does Figma Make Designs work?

Figma Make Designs reads your active file's local styles, variables, and component library before generating. You describe a UI component or screen in natural language, and the AI produces a working Figma design as editable auto-layout frames — not a flattened image or a screenshot. The output connects to your design system, so changing a variable updates the generated design just like any other Figma frame.

How is Figma AI different from v0 or Lovable?

Figma AI generates designs inside Figma using your own design system components and tokens, making it ideal for brand-consistent UI work that feeds into a real design-to-development pipeline. Tools like v0.dev and Lovable generate production-ready code (React, Tailwind, full-stack), making them better for rapid prototyping and direct developer handoff where a Figma design file isn't part of the workflow.

Getting Started with Figma AI: 5-Step Quick Start

If you haven't activated Figma AI yet, here's the fastest path from zero to productive:

Step 1: Enable Figma AI in your workspace. Go to your Figma account settings → Labs, and make sure Figma AI features are enabled. If you're on a team plan, your admin may need to enable AI features at the organization level.

Step 2: Audit and clean your local styles and variables. Before generating anything, spend 30 minutes ensuring your color styles, text styles, and key variables are named semantically and published to your library. This is the setup that makes Make Designs outputs actually usable.

Step 3: Run First Draft on your next project's wireframes. Take the user story notes from your last discovery session and feed them to First Draft, one screen at a time. Don't edit the output yet — just generate and review with your team to validate structure.

Step 4: Use Make Designs for your second or third iteration, not your first. The best workflow is: sketch rough intent yourself → use Make Designs to generate variations → select and refine. Don't start with Make Designs on a blank canvas; the output improves significantly when you give it a structural anchor.

Step 5: Add Design Lint AI to your handoff checklist. Before any screen goes to the "Ready for Dev" section, run Design Lint AI. Fix detached components and token violations. It takes five minutes and saves significantly more in developer questions.

Figma AI in 2025 is genuinely useful — not in a "this is cool, I played with it once" way, but in a "I use this every day and my throughput has changed" way. The key is understanding what each feature is good for, connecting it to your design system foundation, and knowing where human judgment still has to lead.

The designers getting the most out of Figma AI aren't using it to replace thinking — they're using it to eliminate the mechanical parts of design so they can spend more time on the parts that actually require a designer.

Start with First Draft for your next project. See what it generates. You'll have a clear sense within one session whether this changes your workflow.