Figr
Figr builds an AI design agent that maps your product's Visual Context Graph before it designs a screen.
Figr is worth paying for when a wrong flow costs more than a slow first draft. The credit model prices thinking honestly — a design review costs 2-3 credits, a brainstorm under 1 — and Context Pods mean the setup tax is paid once. If you want screens in thirty seconds, Lovable beats it; if your UX must survive a design review, Figr is the one that remembers your product.
Verified 21h ago · liveness 81/100 · cite: rightaichoice.com/tools/figr
- Product teams designing complex software that already has a design system and shipped flows
- PMs who need PRDs converted into mapped UX flows and edge-case coverage
- Designers who want AI output that respects existing components and tokens
- Teams pressure-testing shipped UX with usability feedback and prioritised fixes
- Simple landing pages where shipping fast matters more than fitting the product
- Throwaway mockups that need no product context at all
- Teams with no existing product, design system or research to feed the Context Graph
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Skip Figr if you want prompt-to-screen speed on landing pages or throwaway mockups, or if your team has no shipped product, design system or research to feed the Visual Context Graph.
Credits reset monthly instead of carrying over, so unused allocation on Free, Starter or Max is lost rather than banked for a heavy month.
Figr sits in the mid-market: Starter at $32/month billed yearly ($39/month billed monthly) is above single-user prompt-to-UI tools but below Figma's full-seat pricing for a design team, and Max at $124/month billed yearly ($149/month billed monthly) covers up to 3 full-access seats plus shared context. Teams under about five people on a tight budget will feel the credit ceiling; larger teams should price Enterprise, since SSO and RBAC are not on Starter or Max.
In short
Figr — Figr builds an AI design agent that maps your product's Visual Context Graph before it designs a screen. Best for Product teams designing complex software that already has a design system and shipped flows, PMs who need PRDs converted into mapped UX flows and edge-case coverage, Designers who want AI output that respects existing components and tokens. Free to start; paid plans from $32/mo.
What's new in Figr
Checked 7 days agoAcross the latest 1 update: 1 feature update.
What people actually say about Figr — is it worth it?
We ran a structured research pass across product reviews, community discussions, and post-purchase forum threads to surface the patterns vendors won't publish themselves. Below: the recurring strengths, the hidden costs people mention most, and the cohort that consistently regrets adopting this tool.
56 mentions across 5 sources (Hacker News, YouTube, Product Hunt, GitHub, Lemmy) · researched Aug 24, 2026.
Average across the 5 sources that answered — each source counts once, not each post.
- +Preserves decision reasoning and memory across sessions—unique among AI tools.
- +Context-first approach reduces hallucinated outputs, fitting real product constraints.
- +Generates Figma-faithful prototypes that respect design systems and tokens.
- +AI-PM positioning helps clarify requirements before design begins.
- +Live Product Capture and Screen Recording Analysis streamline context gathering.
- −Slow, deliberate process is the opposite of instant-screen generators.
- −Requires structured context upfront—heavy lift for quick mockups.
- −Small community footprint raises doubts about long-term support.
- −Steep learning curve for novice designers not familiar with PRDs.
- −No public pricing details—freemium unclear what features are paid.
- • Time cost: hours of context setup for first use.
- • Potential per-seat pricing not disclosed publicly.
Viability Score
How well maintained and how widely used is Figr? Built from what the vendor actually publishes (docs, changelog, tutorials, integrations, pricing), whether the site is live, and how much real users discuss it. How we calculate this
Last calculated: October 2026
How we score →Key Features
- Visual Context Graph mapping product flows, components and constraints
- Context Pods store reusable product memory across sessions
- Live Product Capture via Chrome extension records your running product
- Screen Recording Analysis reads product walkthroughs for context
- Turn PRDs and written specs into mapped UX flows
- Map edge cases and missing states before design
- Generate high-fidelity interactive prototypes
- Review existing UX with usability feedback and risk explanations
- Direct editing of AI-generated UI without re-prompting (text, size, colour, spacing)
- Figma Sync moves designs in and out of Figma
- Design System Intelligence respects your components, tokens and visual rules
- Storybook and code context fed into designs
- Analytics context wired into UX decisions
- Real-time collaboration, comments and shared credits on Max
- Custom MCPs connecting Figr to your own tooling
About Figr
Figr is an AI design agent built for product teams shipping complicated software, not marketing pages. Its premise: a prompt plus a PRD isn't enough context to design inside a real product, so Figr first assembles a Visual Context Graph — a living map of your flows, components, analytics, docs and code constraints. Context enters through Live Product Capture, a Chrome extension that records your running product, plus Screen Recording Analysis of walkthroughs and imports of PRDs, research, Storybook, GitHub and analytics files. That knowledge lives in Context Pods, reusable memory that compounds across sessions instead of being re-explained every prompt. From there Figr turns PRDs into mapped UX flows, maps edge cases and missing states, generates high-fidelity interactive prototypes and reviews shipped UX with usability feedback that explains the risk behind each suggestion. Figma Sync moves work in and out of Figma, and Design System Intelligence keeps output grounded in your components and tokens. A September 2026 update added Direct Editing of AI-generated UI, so text, size, colour, spacing and design-system values can be changed without re-prompting. Pricing is credit-based and tiered: Free gives 10 monthly credits, 3 canvases and 1 Context Pod; Starter runs $32/month billed yearly ($39 monthly); Max is $124/month billed yearly ($149 monthly) with shared credits and up to 3 full-access seats. Against prompt-to-UI tools like Lovable, Figr is deliberately slower up front and useless without an existing product to feed the graph. It's the pick when UX has to survive review, not when you need screens in thirty seconds.
Behind the Verdict
Most AI design tools assume a prompt is context. Figr assumes the opposite, and that single bet explains both its strengths and its friction. When we look at where teams actually get burned on AI-generated UI, it's rarely visual polish — it's a flow that ignores how the product already works, or a missing empty state nobody caught. Figr's answer is to make you capture the product first via the Chrome extension, then reason from that map. Pick Figr when you have a shipped product, a design system and at least some research to pour in. The pay-off shows up specifically on feature work inside an existing app: new flows that reuse your components and tokens, edge-case sweeps before a spec goes to engineering, and usability reviews that explain why a decision is risky rather than just flagging it. The Direct Editing release from September 2026 matters more than it sounds — tweaking text, spacing or a design-system value without re-prompting is the difference between a prototype and something you can hand off. Pass on it for landing pages, throwaway mockups or greenfield concepts with no product to learn from. Context capture is mandatory, not optional, and on a blank slate there is nothing to capture. Solo builders who want zero setup will find the first hour frustrating. The closest comparison is Lovable and other prompt-to-UI generators. They optimize for speed from a cold start; Figr optimizes for fit once there's a product behind the prompt. That's a real fork in the road, not a feature gap. In practice, budget the credit maths before committing a team. A full web page at first generation costs 5-6 credits and a design review 2-3, so Starter's 200 monthly credits go further on thinking than on screen production. Max's 1,000 shared credits and three seats make sense
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Real-world workflow fit
Concrete scenarios for the personas Figr actually fits — and what changes day-one when you adopt it.
Uploads the PRD and a CSV of engagement data into a Context Pod, asks Figr to turn the spec into a mapped UX flow and flag missing states, then reviews the edge cases the graph surfaces before the design team picks it up.
Outcome: A mapped flow with named edge cases and drop-off points, produced before any screens are drawn, so the spec review covers states nobody wrote down.
Captures the live product with the Chrome extension, feeds Storybook and GitHub context in, then generates a high-fidelity interactive prototype for a new feature and adjusts text, spacing and tokens directly without re-prompting.
Outcome: A prototype that uses the team's own components and tokens, pushed into Figma via Figma Sync for handoff rather than rebuilt from scratch.
Runs a design review on an existing checkout flow, reads the usability feedback and the risk explanation behind each suggestion, then turns the flagged issues into QA test cases.
Outcome: A prioritised list of fixes with the reasoning attached, which survives a stakeholder review because each suggestion explains why a decision could hurt real users.
Use Cases
- Map edge cases and missing states for a new feature before writing specs
- Generate high-fidelity prototypes that match an existing design system's components and tokens
- Run UX reviews on current flows and generate test cases for QA
- Capture a live product with the Chrome extension and mock up new features in the existing style
- Brainstorm and iterate on new concepts while context carries across sessions
- Draft an analytics-driven PRD by uploading CSV engagement data to find drop-off points
- Align stakeholders on mapped flows and decisions to cut rework
- Pressure-test a shipped flow and get usability feedback with the risk behind each suggestion
Models Under the Hood
as of 2026-10-16
Limitations
- Figr is built around feeding it existing product context — design systems, PRDs, docs, research, screen recordings or a live product capture — and it frames prompt-only generation as insufficient for real products.
- The Free plan is $0 with 10 credits (refreshes monthly), only 3 canvases, 1 Context Pod and up to 200MB context per pod.
- Paid tiers are workspace-based: Starter at $32/month and Max at $124/month (both shown billed yearly, saving 2 months), with Starter giving 1 full-access seat, 3 Context Pods and up to 1GB context per pod, and Max giving up to 3 full-access seats, 1,000 shared credits/month and up to 3GB context per pod.
- Custom MCPs, SSO, audit logs and RBAC appear only at higher tiers (MCPs from Starter, SSO/audit logs/RBAC on Enterprise), and the site does not name the underlying AI models.
as of 2026-10-11
Verification history
We have re-verified Figr 22 times since . Each pass re-reads the vendor's own pages and re-checks every listed field against that evidence; passes where nothing had changed are marked as such.
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
Showing the 6 most recent of 22 verification passes.
Free to cite with attribution — this page re-verifies continuously.
12-month cost
Project the real annual outlay, including the implied monthly cost when only an annual tier is published.
Vendor list price only. Add-on usage, seat overages, and contract minimums are surfaced under Hidden costs & gotchas.
Plans compared
For each published Figr tier: who it actually fits, and what it adds vs. the previous tier. Cross-reference the cost calculator above for projected annual outlay.
Free
$0
Ideal for
A single designer or PM evaluating whether the Visual Context Graph approach fits their product before committing budget.
What this tier adds
Free entry point: 10 credits/month, 3 canvases, 1 Context Pod up to 200MB, 24-hour version history.
Starter
$32/mo billed yearly, $39/mo billed monthly
Ideal for
A high-output individual designer or PM running Figr solo on one product, without a second full-access seat.
What this tier adds
Adds 200 credits/month, unlimited canvases, 3 Context Pods up to 1GB each, 3 full design systems and Custom MCPs.
Max
$124/mo billed yearly, $149/mo billed monthly
Ideal for
Small product teams of up to three people who need shared credits, shared Context Pods and real-time collaboration on the same workspace.
What this tier adds
Adds 1,000 shared credits/month, up to 3 full-access seats, unlimited shared team Context Pods up to 3GB each, real-time collab and Figr branding removal.
Enterprise
Custom
Ideal for
Large high-output teams that need per-seat credit allocation, SSO, audit logs and RBAC before procurement will sign off.
What this tier adds
Adds unlimited full-access seats, per-seat credit budgets per contract, SSO (Google, Okta, custom SAML), audit logs, RBAC and unlimited Context Pod storage.
Where the pricing makes sense
The company stage and team size where Figr's pricing actually pencils out — and where peers do it cheaper.
Figr sits in the mid-market: Starter at $32/month billed yearly ($39/month billed monthly) is above single-user prompt-to-UI tools but below Figma's full-seat pricing for a design team, and Max at $124/month billed yearly ($149/month billed monthly) covers up to 3 full-access seats plus shared context. Teams under about five people on a tight budget will feel the credit ceiling; larger teams should price Enterprise, since SSO and RBAC are not on Starter or Max.
Setup time & first value
How long it actually takes to get something useful out of Figr — broken out by persona, not the marketing-page minute.
Expect roughly five minutes to capture a live product with the Chrome extension, per CPO Magnus Handeland's account, but budget longer for the full Visual Context Graph: uploading PRDs, docs, research, Storybook and GitHub context into a Context Pod is the real setup. Teams with a well-documented design system reach first useful prototype fastest; teams with no existing product should not start
Switching to or from Figr
How to bring data in from common predecessors and how to get it back out — written for the switcher, not the buyer.
- →From Lovable: move from prompt-to-screen output to feeding Figr a Visual Context Graph first, accepting a slower first draft in exchange for designs that fit the product.
- →From Figma-only workflows: capture the live product with the Chrome extension and import Storybook and GitHub context, then use Figma Sync to move generated work back into existing files.
- →From generic AI design tools: re-enter the design system, flows and analytics context once into a Context Pod instead of restating it in every prompt.
- ↗To Figma: export generated designs and continue editing in Figma files, since Figma Sync moves work in and out cleanly.
- ↗To Lovable or another prompt-to-UI tool: expect to lose the Context Pod memory and Visual Context Graph, and to re-specify product context per prompt.
- ↗To an in-house design system workflow: use Figr output as reference and rebuild in your own component library if you leave the credit model behind.
Integrations
Resources & Guides
Tutorials & Learning
YouTube returned 6 videos for “Figr”, and we withheld 6: 6 could not be judged, because “Figr” is a single word that other videos use for other things. We are showing none, because we could not prove any of them are about Figr.
Official links
Tools that pair well with Figr
Common stack mates teams adopt alongside Figr, with the specific reason each pairing earns its keep.
Uizard
Uizard turns text prompts, screenshots and hand-drawn wireframes into editable AI UI designs and clickable prototypes in seconds.
Penpot
Open-source UI design with real CSS Grid and Flexbox, design tokens, and an open MCP server for AI agent workflows
Subframe
Subframe is a design canvas and coding agent that ships React and Tailwind code from your own repo.
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