Figr

Figr is a product-aware AI design agent built for product and UX teams that reasons through UX before generating any screens. Unlike tools that jump straight to visual mockups, Figr ingests real product context—screenshots, Figma files, analytics, specs, and design systems—then maps user journeys, edge cases, and states. It outputs flows, prototypes, PRDs, UX reviews, and test cases, helping teams reduce surprises in design reviews, minimize rework, and ship complex products faster.

• Product-aware UX reasoning: Learns an existing product’s patterns, then reasons through user flows, edge cases, and information architecture before proposing UI, avoiding disconnected mockups.
• Multi-stage AI agents: Separate “thinking” and “execution” agents handle research, questioning, UX mapping, and design generation, making the rationale behind flows visible to the team.
• Rich product context and memory: Product Allies store long-term context (analytics CSVs, product docs, design systems, past projects) so insights compound over time rather than starting fresh each sprint.
• Click-to-refine design editing: Click any element in an AI-generated layout to adjust copy, layout, states, or interactions while preserving design-system consistency and product rules.
• Integrations and artifacts: One-click export to Figma, MCP integration with developer tools like Cursor and Claude Code, plus outputs that include UX reviews, test cases, PRDs, user flows, and prototypes.
• Enterprise security: SOC 2 Type II compliance, encryption in transit and at rest, SSO, audit logs, IP allowlisting, and optional on‑prem deployment for security‑sensitive organizations.

1. Create or select a Product Ally – Set up a dedicated memory space for your product, which will hold all the context Figr needs to understand what you’re building.
2. Upload product context – Add screenshots, connect Figma files, link analytics CSVs, product docs, or design system references so Figr learns your existing flows and patterns.
3. Describe your design goal – Prompt Figr with a feature idea, a redesign goal, or a UX problem, and let the thinking agent map flows, states, and edge cases before generating screens.
4. Review and refine the output – Click any element in the generated design to tweak copy, layout, or interactions; the system keeps everything consistent with your design system and product rules.
5. Export artifacts – One‑click export to Figma, or generate PRDs, test cases, UX reviews, and prototypes that bridge design, product, and engineering.
6. Iterate with memory – Over multiple sprints, Figr’s Product Ally retains past decisions, designs, and insights, so future work starts from an already‑learned foundation.

Figr offers a freemium model with credits that renew monthly. The Free plan gives a taste of the AI’s capabilities, while paid tiers add more credits, larger context storage, and team features. All paid plans include credit rollover. Always check the official website for the most current pricing.

• Free: $0/month – 10 credits per month, 1 Product Ally, up to 200 MB context per Ally, limited canvases, shareable projects, inspirations tool, Figma export.
• Starter: $19/month – 100 credits per month, 3 Product Allies, up to 1 GB context per Ally, unlimited web/Figma imports, private generations, basic design system, deeper memory retention, credit rollover.
• Team: $24/seat/month (min. seats apply) – Everything in Starter plus team collaboration, unlimited Product Allies, up to 3 GB context per Ally, user roles & permissions, priority support with Slack connect, credit rollover.
• Enterprise: Custom pricing – Everything in Team plus unlimited context per product, advanced design system, custom integrations, SAML SSO, on‑prem deployment, onboarding services, priority support.

• Web application: The primary interface for building flows, prototypes, and design artifacts.
• Figma integration: One‑click export from Figr directly into a Figma file.
• MCP (Model Context Protocol) integrations: Connect to developer tools like Cursor and Claude Code, bringing design context into the IDE.
• On‑premises deployment: Available for Enterprise customers who require infrastructure‑level control.
• No dedicated mobile app: Figr is currently designed as a browser‑based tool with export and API integrations.

• Invest in a rich initial context – The more relevant screenshots, Figma pages, and analytics data you feed into a Product Ally, the more accurate and product‑aware Figr’s outputs become.
• Use separate Product Allies for distinct products – Avoid mixing contexts; one Ally per product ensures that UX reasoning stays focused and doesn’t confuse patterns across unrelated features.
• Leverage the multi‑stage workflow – Before accepting generated screens, examine the rationale and edge‑case maps from the “thinking” agent to catch logical gaps early.
• Export to Figma early for collaborative polishing – Figr’s Figma export is a great handoff point; use it to let the team tweak visuals while keeping the original UX structure intact.
• Keep an eye on credit usage – See how credit consumption maps to your typical actions (flows, edits, exports) so you can choose the right plan without surprises.
• Roll over unused credits – On paid plans, unused credits roll over, so don’t waste them—plan usage across sprints.

• Product Managers who need to map user journeys, surface edge cases, and create PRDs/test scenarios without spinning up a new design sprint every time.
• Product and UX designers working on mature SaaS products, who must integrate new features into an existing, complex UI while honoring the design system.
• Heads of Product and Design Leads who want to review AI‑generated UX alternatives, rationale, and reviews to enforce standards and align cross‑functional teams.
• UX researchers and CX teams exploring “what‑if” scenarios, accessibility gaps, or user‑state modeling without hand‑crafting every variant.
• QA engineers turning rich flow diagrams and edge‑case mappings into structured test suites.
• Design bootcamps and educators that use realistic, context‑driven AI to teach how real products are built.