Figr
AI design agent that turns product context into Figma prototypes
Figr is the first AI design tool that truly understands your product context before generating designs. Its Visual Context Graph and Context Pod minimize hallucinations common in prompt-only tools. Best for product teams with existing design systems and complex workflows. Skip if you need fast throwaway mockups or lack a product to capture.
- Product teams designing complex software with multiple flows and edge cases
- Product managers who want to go from PRD to prototype with UX reasoning
- Designers who need AI that respects existing design systems and components
- Teams wanting to pressure-test existing UX before shipping changes
- Simple landing page or marketing site design (overkill)
- Rapid throwaway mockups where speed trumps context
- Teams without an existing product or design system to capture
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Skip Figr if you need fast throwaway mockups without product context or don't have an existing design system to capture.
Credit overage: no boost packs mentioned; may need to upgrade tier for more credits.
Figr's pricing fits product teams with existing design systems. Starter at $39/mo (200 credits, unlimited canvases) suits high-output individuals. Max at $149/mo (1,000 shared credits, up to 3 seats) fits small teams. Enterprise is custom. Compared to Lovable (free tier only, then $20/mo for unlimited generations), Figr is pricier but targets context-heavy workflows. Cheaper than hiring a full-time designer for prototyping.
In short
Figr — AI design agent that turns product context into Figma prototypes. Best for Product teams designing complex software with multiple flows and edge cases, Product managers who want to go from PRD to prototype with UX reasoning, Designers who need AI that respects existing design systems and components. Free to start; paid plans from $1916/mo.
What's new in Figr
Checked 10 days agoAcross the latest 6 updates: 6 news mentions.
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Viability Score
How likely is Figr to still be operational in 12 months? Based on 4 signals — momentum (how recently it shipped), wrapper dependency, revenue model, and web presence.
Last calculated: July 2026
How we score →Key Features
- Visual Context Graph mapping product flows, components, analytics
- Context Pod for reusable product context memory
- Figma Sync for clean bidirectional work
- Design System Intelligence respecting components and tokens
- UX Reasoning thinking through decisions before designing
- Turn PRDs into UX flows and edge case maps
- Live Product Capture via Chrome extension
- Screen Recording Analysis for existing UX review
- Import from docs, PRDs, and research files
- AI-generated high-fidelity prototypes in Figma
- Storybook and code context integration
- Analytics context for data-informed design
- Brainstorm feature for ideation
- Usability feedback with risk explanations
- Edge case and flow mapping
About Figr
Figr is an AI design agent built for product teams designing complex software. Unlike prompt-only tools that hallucinate generic landing pages, Figr builds a living understanding of your product through its Visual Context Graph—a map of flows, components, analytics, docs, and code constraints. It then applies UX reasoning to think through edge cases and decisions before generating high-fidelity prototypes in Figma that match your design system. Key capabilities include Live Product Capture via a Chrome extension, Screen Recording Analysis, importing from docs/PRDs/research, Storybook and code context, analytics context, and a Brainstorm feature. Figr's Context Pod provides reusable product context memory, while Design System Intelligence ensures outputs adhere to your components and tokens. The platform also offers usability feedback with risk explanations and edge case mapping. Figr connects PRDs, user flows, edge cases, and interactive prototypes in one workspace, cutting weeks of product thinking down to days. It's trusted by 500+ product teams and integrates with Figma, Chrome, Storybook, GitHub, and Google Analytics. Positioned as a slower, more deliberate alternative to prompt-only tools like Lovable, Figr requires structured context upfront but delivers designs that actually fit your product. Ideal for product teams, PMs, and designers who need context-aware, high-fidelity prototypes without hallucinations.
Behind the Verdict
Figr occupies a unique slot: it's for teams that want AI-assisted design without sacrificing rigor. The Visual Context Graph is the standout—most AI tools treat your product as a flat prompt, but Figr builds a graph of flows, edge cases, and components. This means the outputs actually fit your existing design system, which is a godsend if you've ever had an AI generate a screen that looks nothing like your product. When to pick this: You're a product team building B2B SaaS or any software with multiple user flows, states, and edge cases. You already have a design system (or are building one) and you want AI that respects it. PMs will love the ability to go from PRD to prototype with UX reasoning baked in. When to pass: You need a quick landing page mockup or a throwaway concept. Figr's upfront context capture is a time investment—it pays off for real products, but it's overkill for one-off designs. Also not for tools without a structured product to capture; the Context Pod needs something to work with. Closest alternative: Lovable is faster and more prompt-driven, but it hallucinates and doesn't understand your product. Figr is the deliberate choice for teams that value accuracy over speed. The tradeoff is that Figr requires more setup: you need to capture your live product, import docs, and define your design system. But once that's done, it compounds—the Context Pod remembers everything. Real-world caveats: The credit system can feel limiting on the Free tier (only 10 credits/month). A single design review costs 2-3 credits, so you'll burn through the free allowance quickly. The Starter plan at $19/mo (billed monthly) gives 100 credits, which is reasonable for an individual. The Max plan's $149/mo might be steep for small teams, but the shared credits and
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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.
You have a PRD for a new onboarding flow. You upload the PRD to Figr, use Live Product Capture to import your current app's screens, and let Figr map edge cases and generate high-fidelity prototypes in your design system.
Outcome: You get a complete set of Figma-ready screens with edge case coverage, ready for dev handoff, cutting weeks of iteration.
You need to redesign the checkout flow. You feed Figr your Storybook components, analytics data showing drop-off points, and existing user flows. Figr performs a UX review, highlights risks, and generates prototype variations.
Outcome: You deliver a data-informed redesign with lower cart abandonment, backed by usability risk explanations.
You capture your live product via Chrome extension (5 minutes), then ask Figr to brainstorm and mock up a new feature in your existing style.
Outcome: You go from idea to prototype in hours, skipping the designer handoff loop for smaller features.
Use Cases
- PM maps edge cases for a new feature before writing specs.
- Designer generates high-fidelity prototypes matching an existing design system.
- Team runs UX reviews on current flows and generates test cases for QA.
- Product designer creates a soft mute feature for a social media feed, ensuring consistency.
- Analytics-driven PRD drafting: upload CSV engagement data to identify drop-off points and redesign flows.
- CPO captures live product with Chrome extension to mock up new features in existing style.
- Founder brainstorms and iterates on new concepts at lightning speed with context retention.
Models Under the Hood
as of 2026-07-06
Limitations
- Free tier is very limited (10 credits/month, 3 canvases).
- Credit system may require monitoring usage on paid plans—unused credits roll over up to 30 days (12 months for annual) but then expire.
- Relies heavily on existing product context; new projects without context may not benefit fully.
- No native mobile app or offline mode.
as of 2026-06-23
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/mo
Ideal for
Solo evaluator wanting to explore Figr's capabilities with minimal commitment — 10 credits/month, 3 canvases.
What this tier adds
Starting tier, free entry point with limited credits and basic design system support.
Starter
$19/mo (billed monthly) or $16/mo (billed yearly)
Ideal for
High-output individual designer or PM who needs 200 credits/month, unlimited canvases, and 3 full design systems.
What this tier adds
Adds 200 credits/month (vs 10), unlimited canvases, 3 Context Pods, 1GB context per pod, custom MCPs.
Max
$149/mo (billed monthly) or $124/mo (billed yearly)
Ideal for
Small team of up to 3 full-access seats collaborating on shared credits and Context Pods.
What this tier adds
Adds 1,000 shared credits/month, up to 3 seats, unlimited shared Context Pods, real-time collaboration, removes Figr branding.
Enterprise
Custom
Ideal for
Large team needing unlimited seats, SSO, audit logs, RBAC, and custom integrations (Storybook, GitHub).
What this tier adds
Unlimited full-access seats, per-seat credit allocation, SSO, audit logs, RBAC, unlimited Context Pod storage, custom integrations.
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's pricing fits product teams with existing design systems. Starter at $39/mo (200 credits, unlimited canvases) suits high-output individuals. Max at $149/mo (1,000 shared credits, up to 3 seats) fits small teams. Enterprise is custom. Compared to Lovable (free tier only, then $20/mo for unlimited generations), Figr is pricier but targets context-heavy workflows. Cheaper than hiring a full-time designer for prototyping.
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.
For PMs with a PRD and existing product: 15-30 minutes to upload context and generate first flow. For designers: 5 minutes to capture live product via Chrome extension, then immediate mockups. First value within the same session.
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: export designs to Figma, then use Figr's Live Product Capture to import your product context.
- →From manual Figma prototyping: upload your existing design system files and Storybook components to Context Pods.
- →From paper/whiteboard: photograph flows and upload as images; Figr can analyze and turn into digital prototypes.
- ↗To Lovable: export Figma designs from Figr, then import into Lovable for quick iterations.
- ↗To Figma alone: all prototypes are Figma-native, so you can continue working without Figr.
- ↗To Sketch or Adobe XD: export designs from Figma (via Figr) as standard formats.
Integrations
Resources & Guides
Official links
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Common stack mates teams adopt alongside Figr, with the specific reason each pairing earns its keep.
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