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Most AI design tools start from a blank canvas. But that's not how real product work happens.

You already have an app. A design system. Decisions your team made months ago. Why should you explain all of that from scratch every single time?

We built Figr AI to fix this. It's a product design agent that learns your product, then helps you make PRDs, user flows, edge cases, UX reviews, A/B variations, and prototypes that actually match your existing app.

What makes Figr different:

→ Capture your live product in one click (Chrome extension reads your HTML)

→ Import your design system from Figma, tokens and all

→ Surfaces edge cases and UX reviews grounded in 200,000+ screens

→ Remembers your product across sessions. No re-explaining.

Other AI tools build what you ask. Figr thinks through the problem first.

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Most AI design tools start from a blank canvas. But that's not how real product work happens.

You already have an app. A design system. Decisions your team made months ago. Why should you explain all of that from scratch every single time?

What makes Figr different:

→ Capture your live product in one click (Chrome extension reads your HTML)

→ Import your design system from Figma, tokens and all

→ Surfaces edge cases and UX reviews grounded in 200,000+ screens

→ Remembers your product across sessions. No re-explaining.

Other AI tools build what you ask. Figr thinks through the problem first.

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Most AI design tools start from a blank canvas. But that's not how real product work happens.

You already have an app. A design system. Decisions your team made months ago. Why should you explain all of that from scratch every single time?

What makes Figr different:

→ Capture your live product in one click (Chrome extension reads your HTML)

→ Import your design system from Figma, tokens and all

→ Surfaces edge cases and UX reviews grounded in 200,000+ screens

→ Remembers your product across sessions. No re-explaining.

Other AI tools build what you ask. Figr thinks through the problem first.

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