Agent de design IA qui transforme le contexte produit en travail UX
Figr is an AI design agent for product teams that need UX decisions grounded in real product context rather than a single prompt. The site positions it as a tool for designing flows, reviewing edge cases, and generating prototypes or screens that reflect an existing product’s patterns and constraints.
Instead of treating documents and folders as enough context, Figr builds a living understanding of the product from sources such as PRDs, design systems, analytics, recordings, docs, screenshots, and product walkthroughs. The result is aimed at teams that want more structured product thinking before they move into production-ready design work.
Figr builds a living product context map from files and visual inputs so it can work from more than a text prompt. The site says it considers flows, edge cases, components, analytics, docs, and code constraints when generating output.
The product is designed to think through UX questions before generating screens, including brainstorms, UX reviews, flows, and edge cases. This helps teams evaluate decisions before they commit to a design direction.
The pricing page lists Context Pods for organizing PRDs, docs, research, recordings, analytics files, and walkthroughs. These pods scale by plan and are used to give Figr the product knowledge it needs.
Figr supports design-system grounding so outputs can follow product patterns, components, tokens, and visual rules instead of looking generic. Paid plans expand the available design-system and custom MCP capabilities.
The pricing page includes export to Figma, and the home page says Figr works with Figma. This makes it possible to carry generated work into a design handoff workflow.
Higher tiers add collaboration features such as comments, real-time co-editing, shared credits, and workspace controls. Enterprise adds SSO, audit logs, RBAC, and custom integrations.
Use Figr when a team needs to design a new feature with the product’s existing patterns, components, and constraints in mind. The site highlights that it can work from live product context rather than starting from a blank prompt.
Use it to review flows and edge cases before the team commits to a direction. The home page emphasizes that Figr thinks through decisions first, including edge cases and UX tradeoffs.
Use the tool for early concepting when product managers and designers want to brainstorm, map a flow, and produce a prototype in one workspace. Testimonials and product copy point to fast iteration for concept development.
Use Figr to collect scattered product knowledge into one working context for a specific project. The pricing and home pages describe PRDs, docs, research, recordings, analytics, and walkthroughs as the inputs it can use.
Use higher tiers when multiple teammates need comments, shared context, real-time collaboration, or admin controls. Enterprise adds SSO, audit logs, RBAC, and custom integrations for larger teams.
Figr is set up around a workspace where you add product context such as PRDs, docs, research, recordings, analytics files, screenshots, and product walkthroughs. The pricing page also describes Context Pods, which are used to organize that context for specific product work.
The site shows Figr generating UX reviews, flows, edge cases, prototypes, and production-ready screens, with outputs that can be exported to Figma. It also supports shared collaboration features on paid plans, including comments and real-time co-editing on higher tiers.
The pricing page lists a free plan, paid Starter and Max plans, and an Enterprise plan with custom pricing. Starter is positioned for individuals, Max for small teams, and Enterprise for larger teams that need SSO, audit logs, RBAC, and custom integrations.
Figr’s source pages describe integrations with Figma and MCP-based tools, plus custom MCPs on higher plans. The Enterprise plan also mentions custom integrations such as Storybook and GitHub.
The security page describes hosted infrastructure, encryption in transit and at rest, access controls, and security reviews. The product pages do not describe on-premise deployment or self-hosting options.
Les données de trafic sont fournies à titre indicatif uniquement.
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