
Figr is a product-aware AI design agent that helps teams ship UX faster by grounding decisions in real context. Show Figr your product via screenshots, Figma files, recordings, web capture, product docs, analytics CSVs, and even live product crawls. It generates UX insights, user flows, PRDs, edge cases, test cases, and UI designs, then exports to Figma with preserved layer structure so teams can refine and ship faster. Rules and memories keep recommendations consistent across releases & teams.
Add rich context—screenshots, Figma files, screen recordings, web capture, docs, and analytics CSVs—so Figr understands your real UI and constraints. Its reasoning is grounded in what users actually see, reducing generic advice. You can also connect knowledge bases, run web search, and store rules/memories so recommendations stay consistent. This “context-first” approach helps teams move from vague ideas to concrete UX choices without repeated back-and-forth.
Generate the artifacts product teams need: PRDs and docs, user flows, prototypes, mind maps, comparison docs, and detailed edge cases and test cases. Figr synthesizes benchmarks and user feedback into actionable decisions, then formats outputs you can share with stakeholders. By producing both the rationale and the deliverable, it shortens cycles between research, design, and engineering, and makes tradeoffs explicit instead of buried in chat logs or scattered notes.
Create UI designs and export to Figma with one click while maintaining the complete layer structure for precise edits. Designers can tweak components normally, apply tokens and design-system rules, and iterate without losing fidelity. Because output is structured for Figma, it fits existing review workflows and handoffs, turning AI drafts into team-owned design files—ready for collaboration, design QA, and stakeholder review. Layers and grouping stay intact, so handoff is clean for engineering.
Figr can analyze your product through live product crawl and structured inputs like company UX guidelines, onboarding walkthroughs, and internal docs. It can search and analyze multiple files, run web search when needed, then answer questions like drop-off points or flow issues using evidence from the provided context. This keeps recommendations aligned with your current experience, reduces stale advice when screens change, and helps teams validate decisions against real constraints.
Beyond visuals, Figr supports ship-ready outputs that speed implementation planning. Use generated specs, flows, and structured design output to align engineering work and reduce rework during handoff. When requirements shift, regenerate only the needed artifacts and keep history tied to the same context set, so iterations stay coherent across releases and stakeholders can track what changed and why. Keep PRDs, edge cases, and UI updates synced as the product evolves.


Product, design, and research teams that want faster, higher-confidence UX decisions grounded in their real product. Ideal for startups and enterprises improving onboarding, navigation, and critical flows where edge cases and test coverage matter. Great for teams that already use Figma and want AI help producing PRDs, flows, prototypes, and UI drafts without losing design-system consistency or traceability. Best for redesigns and audits where evidence beats generic advice.
Replaces generic prompt-only design assistants and scattered docs with a context-first design agent. It solves the “AI doesn’t know our product” problem by ingesting screenshots, Figma files, recordings, docs, and analytics, then producing actionable UX artifacts. Exports keep work editable in Figma with proper layers, while PRDs, edge cases, and test cases improve handoff quality—so teams ship faster with fewer loops and less rework. Decisions stay grounded in what’s real.
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