Most AI design tools are confident before they know enough. Figr works the other way. It learns from your screens, flows, docs, design system, recordings, analytics, and product decisions first. Then it helps your team reason through UX, map edge cases, create product artifacts, and generate Figma-ready designs that feel closer to your actual product.
A PM writes a PRD
A designer asks for missing states
Engineering asks what should happen when permissions fail
Someone links an old Figma file
Someone else remembers why the old flow worked that way
By the time the feature reaches design or development, half the product context has been compressed into a few bullets. That is where rework starts.
Figr is built for the messy middle of product work: the place between an idea and a screen, where teams need to understand the current product, make UX decisions, catch edge cases, and create a design direction that fits what already exists.
A prompt is rarely enough for real product design. Your product already has a language: screens, flows, components, empty states, permissions, docs, analytics, code constraints, and decisions people made months ago.
Live product capture
Screen recordings and walkthroughs
Figma files and design systems
Product docs, PRDs, research, and specs
Storybook, code, CSS, and component context
Analytics files and behavioral notes
Screenshots and existing flows
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Give Figr the requirements and the product context around them. Get flows, questions, edge cases, and design direction before the work gets locked into tickets.
