If you’ve opened X in the past week, you already know: Figma’s Gemini 3 Pro integration is everywhere. The official announcement post crossed 1.4K likes in hours, and roughly 70% of recent Figma Make threads mention it by name. Designers are calling it the most accurate model yet for turning prompts into real styles and layouts. Others are quick to point out it’s still labeled “experimental” and burns credits faster than the default. Both sides are right.

At Userology, where we use conversational AI to moderate usability testing sessions and deliver 10x faster insights for product teams, we’ve been running Gemini 3 Pro in production sprints since the day it dropped. It fits perfectly into our workflow: faster prototypes mean quicker tests with real users, uncovering friction points before they slow down your builds. Here’s the unfiltered truth from people who bill by the hour.

The Leap in Accuracy Is Impossible to Ignore

Give the old model a prompt like “modern banking dashboard with glassmorphism and smooth scroll animations” and you usually get something usable, sometimes even nice. Give Gemini 3 Pro the same prompt and the result looks like a senior designer spent half a day on it. The difference shows up in spacing, typographic hierarchy, color harmony, and micro-interactions that actually feel intentional.

Last week we asked it to “refine this dashboard with dark mode, add depth with subtle inner shadows, and make the cards lift on hover.” The output respected our 8-point grid, pulled the exact brand gradients from our library, and delivered hover states that ease in at 240ms. First try. No cleanup required.

Early internal benchmarks match what the community is reporting: roughly 2x faster from zero to a presentable interactive prototype compared to the previous flagship model. For us at Userology, that translates to prototypes we can throw into AI-moderated sessions immediately, spotting usability gaps in half the time.

Where It Still Trips (And How We Work Around It)

Gemini 3 Pro is marked experimental for a reason. Complex interaction patterns remain the weak spot. Branching onboarding flows, multi-user collaborative states, or anything requiring precise spring physics can come out half-baked. The model understands the request; it just hasn’t fully mastered the execution yet.

Our fix is simple and borrowed from every senior designer we know: break the problem into layers. Let Gemini 3 Pro own layout, typography, and basic transitions first. Then layer in the tricky interactions manually or with follow-up prompts that reference specific frames. The combination gets us 90% of the way there without fighting the AI. We follow this up with a quick Userology test to validate real-user flows, ensuring the AI’s creativity doesn’t introduce hidden drop-offs.

Credits are the other friction point. An intricate generation can cost 3-4× more than the default model. We treat it like render time on a high-end GPU: reserve Gemini 3 Pro for hero screens, key flows, and stakeholder presentations. Everything else stays on the cheaper model. It’s a smart trade-off when your goal is actionable insights, not endless iterations.

How to Switch and Get the Best Results Today

1. Open any Make file → Settings → Experimental Models → toggle Gemini 3 Pro on.

2. Start every prompt with clear constraints: grid size, component library, target devices, and tone of voice.

3. For nuanced iterations, reference existing frames explicitly: “Take frame ‘Dashboard Light’ and refine this dashboard with dark mode using the brand tokens in the ‘Core Styles’ page.”

4. When you hit something complex, generate the visual shell first, then ask for “add drag-to-reorder with smooth spring physics” as a second pass.

That’s it. Four steps and you’re working at a level most teams needed days to reach last month. At Userology, we pair these prototypes with our generative interviews for a full loop: build fast, test smarter, iterate with empathy.

The Bottom Line

Gemini 3 Pro is the first AI model that consistently delivers prototypes senior designers would willingly put their name on. It’s not perfect, it’s credit-hungry, and it still needs a human brain for the hardest interactions, but the accuracy jump in styles, layouts, and polished details is undeniable.

At Userology, we’ve already moved every new client kickoff to Gemini 3 Pro for the first 48 hours of exploration. The speed gain alone justifies the extra credits, especially when it feeds directly into our AI-moderated usability tests for deeper user feedback.

If you haven’t flipped the switch yet, do it on your next project. Then run it through a Userology session to see what users really think. Come back and tell us what you built.

We’re listening.