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Figr doesn’t just generate screens. It reasons through your product’s UX, then designs interfaces that match what you have built.
Most AI design tools work like autocomplete: prompt in, screen out. Figr works like a senior designer who already knows your flows, constraints, and design system.

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Product-aware designing

Other tools start from a blank prompt every time, so you re-explain everything and hope the model gets it. Give Figr your real inputs and it designs from them:
  • Product specs, so Figr knows your user personas
  • A screen share of your app, so Figr learns your navigation patterns
  • Your design tokens, so Figr uses your real color palette
  • Your analytics, so Figr knows which flows convert

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Memory that compounds

Traditional AI forgets between sessions. Figr keeps your context permanently and gets sharper with every project.
Your color tokens, typography scales, spacing, and component library. Figr uses your actual design system in every new design.
User personas, business goals, technical constraints, and roadmap. Figr designs for your situation, not generic best practices.
Analytics, heatmaps, and research findings. Figr weighs decisions against how people actually use your product.
Which patterns were chosen, what was tested, and what worked. Figr builds on what already succeeded instead of repeating experiments.

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Production-ready output

Figr exports your actual React components, not generic divs, so engineers recognize the code immediately.
    <Button variant="primary" size="large">
      Get Started
    </Button>
Not random CSS:
    .button-1234 { background: #0066cc; padding: 12px 24px; }

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How Figr thinks

Traditional AI takes “generate a login form” at face value. Figr reads it as “a login form for a B2B SaaS product with enterprise SSO, matching your dashboard’s navigation, your checkout flow’s error handling, and the progressive disclosure from your research.”
1

Understands your product

Analyzes your product, design system, research, and business context.
Figr analyzing the team's product, design system, and research
2

Applies your context

Ties every design decision to your constraints, users, and goals.
Figr mapping design decisions to product constraints and goals
3

Produces production-ready designs

Outputs your components and tokens, so handoff is seamless.
A production-ready screen using the team's components and design tokens
4

Learns and improves

Remembers what works and applies it to future designs.
Image

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What a screen share teaches Figr

Show Figr your product once and it learns your information architecture, interaction patterns, error states, and flows. No PRD required. It picks up how your navigation actually works, where users get stuck, the patterns you have already set, and the edge cases hiding in your flows.

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What product managers want

What you needFigrOther AI tools
Catch edge cases earlyFlags gaps before the design cycleBuild only what you explicitly ask for
Think through UX firstUX review and pattern matching across 200,000+ flowsGeneric suggestions, no product context
Expert feedback on demandBuilt-in UX audit and accessibility checksNot available
Remember your productPersistent memory, so you never explain twiceStart fresh every conversation

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What designers get

What Figr doesYour benefit
UX review, edge cases, and information architectureFewer “we missed this” cycles
A high-fidelity starting point inside FigmaRefine from 95%, not 0%
Design-system complianceNothing to fix afterward

See the difference

Try product-aware designing in your first session.