6 min
Once your prototype is ready, Figr gives you multiple handoff paths: export to Figma, share a prototype URL, or move toward code with developer-friendly output. This video explains when to use Figma export, when to share a publishable prototype, and when code export makes more sense for teams working with Cursor, Claude, or other build tools.
2 min
Most AI design tools regenerate the whole screen when you ask for one small change. Figr lets you select specific elements, explain what you want changed, and keep the rest of the design intact. In this video, you’ll see how to edit navigation, copy, layout, flow screens, and visual details without starting over every time.
3 min
Figr can turn a product problem into a PRD, user stories, test cases, user flows, and prototypes, all grounded in your actual product context. This video shows how PMs can use Figr to move from rough problem statement to structured product documentation, then connect that documentation to UX flows and Figma-ready design.
4 min
Use Figr AI to review product screens for UX friction, accessibility issues, unclear states, hierarchy problems, and missed improvement opportunities. In this video, you’ll see how to run an AI UX review, audit screens for specific user groups, compare competitors side by side, and turn feedback into better product decisions.
Most product rework starts with missed edge cases. In this video, we’ll use Figr AI to map UX edge cases, failure states, retry logic, permission scenarios, and error states from a real product flow. You’ll see how Figr uses product context to think beyond the happy path and help PMs, designers, and engineers catch UX issues before they become expensive cleanup.
Don’t start with “make me a dashboard.” Start with the product problem. Figr can ask clarifying questions, reason through the flow, create supporting artifacts, and generate a Figma-ready prototype grounded in your actual product context. This video shows the full first-prototype workflow: problem statement, context selection, UX reasoning, flow mapping, design generation, and iteration.
Figr Canvas is where product teams work with AI visually. Instead of writing long prompts and hoping the AI understands, you can drop screenshots, product references, docs, links, flows, and prototypes onto one canvas. In this tutorial, you’ll learn how to point at specific areas, add notes, compare UX directions, interact with prototypes, and use visual context to get better AI-generated product designs.
What makes Figr AI different from ChatGPT, Lovable, v0, or Figma Make? Figr is not a generic prompt-to-UI tool. It’s an AI product designer that understands your product before it starts designing. In this intro, you’ll see how Figr uses product context, visual context, design systems, and UX reasoning to help product teams create flows, PRDs, reviews, and Figma-ready designs that actually fit their existing product.
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