8 of the best AI design assistant tools to try

According to our State of the Designer 2026 report, 91% of designers say new AI tools improve their designs.

Results like that make the case for bringing one into your workflow. But choosing which tool is the harder part, since AI design assistant tools can mean a dozen different things. Some generate a mockup you’ll rebuild by hand later. Others write code that your engineers can ship.

The eight tools below each handle a different slice of the work. We’ve compared what they do and where they fit, along with the questions worth asking before you pick one.

Read on to learn:

• Which 8 AI design assistants are worth evaluating, from canvas-native agents to prompt-to-code generators
• What to look for before picking one for your team

This article is published by Figma and may include promotional content about Figma products.

1. Figma’s design agent

Ideal for: On-canvas edits that follow your design system

Our design agent works inside Figma Design, so there’s no separate app to open and nothing to export when you’re done. Select a layer on the canvas to bring up the prompt box, or open a persistent chat from the left sidebar. Prompting and editing happen in the same place, so you can adjust the output by hand the moment it lands.

Connect a library to the chat, and the agent builds from your existing design system. An @ mention narrows the focus to one component or variable. The same works in reverse—send the agent back through older screens to apply your current system, so shipped work catches up to where the library is now.

On the shared canvas, teammates can watch the work happen in real time. Chats are visible to your teammates by default, and you can make one private when you need to.

Key features

• Design system context. Generates and riffs on screens using your team’s library, and updates older designs to match your current components.
• Bulk edits and content fills. Handles rote work across a file at once, swapping variants and filling in real copy. Localizes that copy, too, so you can stress-test how layouts hold up in other languages.
• Library maintenance. Audits design tokens and properties across components, standardizes naming in large libraries, and keeps descriptions, tags, and examples current.
• Skills, connectors, and plugins. Saves repeatable workflows as skills, connects tools like Slack or GitHub to bring outside context onto the canvas, and supports custom plugins for the workflows your team runs most.

2. Uizard Design Assistant

Ideal for: Digitizing sketches and screenshots into editable mockups

Uizard’s Design Assistant is a set of AI features aimed at the front end of the design process, when you’re still working out what a screen should look like. Sketch a layout on a whiteboard or in a notebook, snap a photo, and Wireframe Scanner reads it and produces an editable design. The Screenshot Scanner does the same for existing apps and sites, turning a screen grab into a mockup you can pull apart and adjust.

Text prompts drive the rest. Autodesigner generates a multi-screen project from a written description, while Text Assistant fills in page titles, subheadings, and button copy. Output lands in Uizard’s editor, where you can adjust layouts and swap components with drag and drop.

Key features

• Wireframe Scanner and Screenshot Scanner. Reads hand-drawn sketches or screen grabs of existing apps and produces editable designs from either.
• Autodesigner. Builds a multi-screen project from a text prompt.
• Focus Predictor. Generates a heatmap predicting where users will look. Swap an icon or adjust a theme by sending another message before any testing runs.

3. Canva AI

Ideal for: Producing on-brand marketing assets

Canva AI runs as a chat interface on the Canva homepage and inside the editor. Describe what you need, and the assistant returns a finished design with every element still editable. Swap an icon or adjust a theme by sending another message, and the assistant handles it.

Attach a Brand Kit and your fonts, colors, and tone carry across every output, while a Memory Library builds on past projects to match your aesthetic over time. If a brief lives in Slack or Google Drive, connectors pull it in without a copy-paste detour.

Key features

• Conversational design generation. Produces fully editable designs from a prompt, then refines them through follow-up messages.
• Brand Kit and Memory Library. Applies your saved fonts, colors, and tone, then sharpens its read on your style as you keep working across projects.
• Connectors. Links Slack, Gmail, Google Drive, and Notion, so outside context feeds into the design.

4. Visily

Ideal for: Building wireframes and mockups without design experience

Visily is a wireframing and mockup tool, and most of what it does runs on AI. Paste in the URL of a site you like, and Magic Theme pulls that site’s colors and fonts into your file. You can also upload an image and build the palette from there.

Copy and content work the same way. Magic Content rewrites text or shifts its tone on a prompt, and Structured Data Fill handles tables without manual entry. For visuals, feed Magic Image a reference, and it returns similar options. Once a screen comes together, a suggestion layer reviews it and flags aesthetic adjustments.

Key features

• Magic Theme. Generates a color and font theme from a URL, an uploaded image, or keywords.
• Magic Content. Rewrites, edits, or adjusts the tone of copy from a prompt.
• Structured Data Fill. Populates tables with structured or free-form content automatically.

5. Flowstep

Ideal for: Generating screens that come with code your engineers can use

Flowstep generates UI from a chat prompt onto an infinite canvas, and the designs it produces map one-to-one to code. Ask for a full experience, and it builds every screen in the flow at once. To sharpen the output, attach a PRD or paste a reference link to give the model more to work from.

The code connection shapes what happens next. Every design exports as clean React and Tailwind CSS that engineers can pick up directly, and an MCP server connects the canvas to an IDE. Designs also paste straight into Figma, no plugin required. Plus, you and your teammates can work in the same file and watch each other’s cursors move.

Key features

• Multi-screen generation. Builds an entire flow from one prompt.
• Code export. Produces clean React and Tailwind CSS, with an MCP server that connects to your IDE.
• Figma handoff. Copies designs into a Figma file with a standard copy and paste.

6. Anima (Buddy)

Ideal for: Adding an AI chat agent to your existing Figma files

Anima built Buddy as a Figma plugin that brings a chat agent onto the canvas. Install it, and you can generate UI or edit screens without leaving the file you’re in. Buddy reads the components and variables in that file, so its output stays close to your product’s visual language.

Buddy works across a full user flow, too. Describe the sequence you need, and the plugin generates each screen in it, then keeps them aligned as the flow changes. Auto Layout stays intact, so generated screens still resize the way your file expects.

Key features

• Design system awareness. Generates screens using the components and variables already in your file.
• Parallel chats. Runs several AI conversations at once, so you can compare directions.
• Website cloning. Rebuilds a live URL or HTML file as editable Figma layers.

7. Designs.ai

Ideal for: Producing campaign assets across several formats

Designs.ai breaks a campaign into pieces and hands each one to a different agent. Describe what you need, and the platform asks follow-up questions until the brief is sharp enough to act on. From there, a Brand Agent builds the visual identity while an Image Agent or Video Agent produces the assets.

Designs.ai routes each task to whichever underlying model suits it, drawing on Claude, ChatGPT, and Gemini, among others—though you can override that choice per format. Whichever model runs, your saved brand settings apply, so colors and style carry through from one asset to the next. For work you repeat often, a skills library handles the setup for things like logo design and short video ads.

Key features

• Specialist agents. Assigns visual identity, imagery, video, and audio work to purpose-built agents.
• Model routing. Sends each task to the model that fits it, with a manual override for any format.
• Brand enforcement. Applies your saved brand settings so output stays consistent across formats.

8. UX Pilot

Ideal for: Quick wireframe-to-visual-design generation

UX Pilot is an AI assistant for UI design. Feed it sketches, PDFs, or PRDs, and it returns editable layouts. Generate a wireframe at low or high fidelity, then push it to a finished screen in one step.

UX Pilot can also generate against your own Figma components once you import them, keeping output aligned with your existing system. Autoflow builds every screen in a user journey at once, so you can see the full flow before editing. When a design’s ready, hand it off to your design tool or push the code to your repo.

Key features

• Multi-format inputs. Converts sketches, PDFs, and PRDs into structured, editable layouts.
• Autoflow. Generates every screen in a user journey in one pass.
• Design system import. Pulls in your Figma components so generated designs match your existing styles.

How to choose an AI design assistant tool

These eight tools solve different problems. Some generate one screen and stop there, while others stay useful through months of maintenance work. Before you commit your team to any one, look for these five things:

• Check where the assistant lives. An assistant built into your design tool skips the export step that a standalone app requires.
• Ask what it builds from. If the assistant pulls from your components and tokens, you save the rework of matching output to your system later.
• Look at what it hands off. A mockup needs someone to build it, while working code can go straight to your engineers. Choose the output that matches who works on it next.
• Test how much cleanup the output needs. Fast generation loses its value when every result needs heavy manual editing afterward.
• Find out whether it handles upkeep. Bulk edits and consistency audits add up over months.

One or two of these checks will probably matter far more to you than the rest. If you’re scaling a design system, what the assistant builds from will outweigh everything else. If you’re still shaping the product, speed to something you can react to probably wins.

Start building with Figma’s design agent

AI design assistant tools have moved past generating a screen and calling it done. The strongest ones live where your team already works, building from the components and history you’ve put in place. Our design agent sits inside Figma Design for exactly that reason. Plus, it pairs with the rest of what we make:

• Use Figma’s agent to generate and edit designs directly on the canvas using your team’s real components and tokens.
• Try Figma Make to prototype ideas from a text prompt before you loop in engineering.
• Hand off finalized designs to engineering with Dev Mode, so specs and code stay in sync.
• Explore Figma Weave to build reusable AI workflows for images, video, and other creative assets.