Skip to main content

AI content generator for product thinking in Figma Make

Go from idea to interactive prototype in minutes with an AI content generator built for product teams. Describe your flows, logic, and edge cases in natural language, and see them mapped into structured screens, states, and behaviors—ready to test, refine, and share.

Turn product ideas into working prototypes with Figma Make

Demonstrate product thinking

Prompt once to capture user flows, states, and edge cases—without writing a PRD. The AI content generator turns abstract ideas into shared, testable direction your team can align around instantly.

Prototype with your real system

Build interactive experiences using your team’s components and styles. Stay on-brand from the start and ensure every prototype reflects your production-ready design system.

Validate with real data

Connect APIs or backends to power your prototype with live information. Test interactions, logic, and edge cases in context—so feedback is realistic and actionable.

Close the loop from idea to build

Generate functional code aligned to your components and flows. Reduce handoff friction and keep design and development in sync from first prompt to shipped experience.

Built by real teams.

See how makers, designers, and PMs are using Figma Make to build no-code web apps—from internal tools to product MVPs.

How to use an AI content generator for product workflows in Figma Make

Create a new frame in Figma Make or paste in an existing screen from Figma Design.

Example prompt: “Create a dashboard layout for a SaaS analytics product with a sidebar, top nav, and three key metrics.”

Use natural language to define user flows, states, and behaviors. Think in terms of what users do and see.

Example prompt: “When a user clicks ‘Upgrade,’ show a pricing modal with monthly and annual plans. If payment fails, display an inline error state.”

The AI content generator maps your prompts into structured layouts, interactions, and editable components. Review screens, transitions, and logic directly in the canvas.

Prompt again to adjust flows or edge cases, connect real data for validation, and share the interactive prototype with stakeholders—all in the same file.

Example prompt: “Add an empty state for new users with a call to action to create their first report.”

FAQs

An AI content generator in Figma Make turns natural language prompts into structured product artifacts—like user flows, interactive prototypes, and functional code. It helps teams move from idea to tangible output quickly.

Yes. Teams can copy frames or components from Figma Design into Figma Make and use prompts to add structure, interactions, and logic. This keeps everything aligned with existing workflows.

Yes. Prototypes can connect to backends or APIs, allowing teams to test flows and states with live data. This makes usability testing more realistic and feedback more reliable.

Yes. Figma Make can generate functional code based on the prototype’s structure and logic. This helps reduce translation gaps between design and engineering.

Yes. Like other Figma tools, Figma Make is collaborative by default. Teams can iterate together in real time, share prototypes with stakeholders, and keep product thinking visible and aligned.

From the blog

Figma workspace and tablet displaying aviation maps of Europe above an illustrated flight journey from preparation and takeoff to landing and arrival at the gate.Figma workspace and tablet displaying aviation maps of Europe above an illustrated flight journey from preparation and takeoff to landing and arrival at the gate.

How Lufthansa Systems prototypes realistic maps for the cockpit with Figma Make

Pilots depend on in-flight software to navigate routes, see air traffic, avoid turbulence, and more. To bring more dynamic prototypes to user testing, Lufthansa Systems turned to Figma Make.

Read more

Create, ship, and manage data-backed websites with Payload in Figma

With Payload in Figma, teams can go from prototype to production together, managing their content and data all in one place.

Learn more

Measuring time savings from Figma Make

The Figma Data Science team assumed that AI saves users time—but quantifying it required a new approach to research design.

Learn more

A properties panel and annotations, now in Figma Make

With visual editing and annotations, Figma Make is bridging the gap between design and code. Select any element you want to change, adjust it directly in the properties panel, or write in-context prompts with annotations.

Learn more

Workflow lab: Deploying designs directly with Figma Make

The handoff from design to code doesn't have to be a one-way street. This workflow shows how a designer can connect a codebase to Figma Make, make the changes directly, and bring the whole team into review—right up to the PR.

Learn more
Hero image showing an AI analytics prompt interface with workflow tabs and suggested customer analytics questions.Hero image showing an AI analytics prompt interface with workflow tabs and suggested customer analytics questions.

How Decagon uses AI for design system saturation

The fast-growing customer experience platform explains how Figma MCP and Figma Make helped them scale a new design system and keep pace with customer requests.

Learn more

More resources

  • What is MCP?

    Learn about Model Context Protocol (MCP), the open standard that simplifies AI integration like a USB-C for data.

    Read article
  • What is Vibe coding?

    Vibe coding combines mood-driven design with seamless coding to create immersive digital experiences that connect emotionally and function flawlessly.

    Read article
  • How to design an app in five steps

    Building an app requires research and constant iteration to meet customer needs. Learn how to design an app and how Figma can help in this guide.

    Read article
Powered by Fruition