Figr

Context Pods are where Figr learns your product. You load a Pod with PRDs, docs, research notes, recordings, analytics files and a product walkthrough, and the agent draws on that material whenever it answers. Each plan sets a size ceiling, from 200MB on Free to custom limits on Enterprise, and semantic search inside a Pod gets better as you move up. This is the feature that separates Figr from prompt-first tools, because the agent reasons about your actual product rather than a blank page.

Figr reviews UX decisions and flags the problems teams usually catch late. It asks clarifying questions, maps flows and states, finds edge cases and explains the tradeoffs behind each call. A review returns usability feedback, risk explanations and prioritised suggestions connected to real user workflows, and the agent can point out why a given decision might help or hurt users. For teams that keep discovering issues in QA, this moves the same scrutiny earlier in the process.

Figr grounds its output in your design system so generated screens look like your product, not a template. It follows your components, tokens and visual rules, spots off-system decisions early and enforces tokens and components as work progresses. On Starter and above you can hold several design systems in one workspace, apply a shared system as grounding and pull a system from code through Storybook. The result is fewer screens that a designer has to rebuild before they can be used.

Work moves both ways between Figr and the tools teams already use. Captured Figma screens or a library can be imported, and the agent identifies styles, tokens, components and patterns so you can organise and reuse them. Exports go back to Figma with Auto Layout, tokens and components attached, or out to React and TypeScript code. That workflow is what lets a small team treat Figr output as a starting point rather than a throwaway mockup.

Figr can pull in analytics and product docs to back a design decision with numbers rather than opinions. In the walkthroughs on the site, the agent reads a conversion rate against an industry median, breaks the gap into specific drop-off steps and recommends where to intervene. Recommendations come with the files they referenced, so the reasoning stays visible. For teams that argue about direction, evidence from their own data shortens the debate.

Figr keeps context between sessions and lets teams share it. Starter covers one seat, Max adds up to three paid seats with shared credits, real-time co-editing and comments, and Enterprise unlocks unlimited seats with per-seat credit budgets. Admin controls scale the same way, from workspace settings on Starter to fine-grained RBAC, audit logs and activity export on Enterprise. Data residency, SSO with Google, Okta or custom SAML, and AES-256 encryption round out the security side.