The rule I use: generate screens where layout is the open question, draw by hand where the content is the open question.

Which screens should AI generate?

Onboarding, empty states, profile pages, and marketing landing screens. These are structurally similar across products, so a generated layout is a useful starting point rather than a random guess. A prompt like “onboarding step two, email verification, code input, resend link, mobile” returns something close enough to edit in fifteen minutes.

Which screens should you never generate?

Anything with your domain logic baked into the layout. A trading screen, a permissions matrix, an editor with a custom toolbar. Galileo does not know your data model, so it invents plausible-looking rows that mean nothing. You will spend longer deleting than drawing.

• Generate: onboarding, settings, empty states, landing pages
• Draw: data tables, custom editors, permission grids, anything with real numbers
• Negotiate: dashboards, which sit in between

How do you keep generated screens consistent?

Painful truth: Galileo AI does not read your Figma library, so two generations will not share tokens. The fix is a cleanup pass, not a prompt trick. Run the Figma plugin, then apply your colour, type, and spacing styles to the imported frame before anyone sees it. Reusing the same three-sentence prompt structure across screens helps styling stay in the same family, but it is not a substitute for tokens.

What does Galileo AI cost for a sprint?

There is no permanent free plan, only a trial. Pricing is quoted per team and gated behind a sales conversation, so assume a paid tier for any real sprint. Compare that against the alternative: a designer spending day one redrawing the same onboarding flow for the fourth time. For a product with standard flows, the trade is usually worth it.

When to skip the tool entirely

If your team has a mature component library and a designer who prototypes in Figma fast, AI generation adds a cleanup step without saving the drawing step. Same story if the product is highly specialised, like CAD or developer tooling, where generic layouts actively mislead stakeholders.

Key Takeaways

• Use Galileo AI for structurally common screens; draw domain-heavy screens by hand.
• Imported frames do not inherit your Figma tokens, so budget a styling pass.
• Consistent prompt structure keeps generations in the same visual family but is not a design system.
• No permanent free tier; pricing is custom and sales-gated.
• Skip it when your team already prototypes quickly in Figma.

The catch is prompt quality. Feed it “a dashboard” and you get a blurry placeholder. Feed it constraints and you get something a designer can actually build on.

What Galileo AI actually produces

The output is not an image. It is a node tree of frames, autolayout containers, and text layers that open in Figma with a plugin. That distinction matters, because a flat PNG cannot be edited, and most AI design tools only ship PNGs.

How do you write a prompt that works?

Name the screen, the platform, and the content. Vague verbs waste a generation. A useful prompt looks like three stacked sentences.

• Screen: “mobile onboarding screen for a budgeting app”
• Content: “headline, two-line explanation, primary continue button, skip link”
• Style: “light theme, large rounded corners, one accent colour”

Generations run one at a time and each takes under a minute in normal conditions. You get two or three variations per prompt, which is where the iteration starts.

How do you move a design into Figma?

Run the Figma plugin, paste a share token from Galileo, and the selected generation lands as a frame. Text stays as text, buttons stay as components. Renaming happens automatically but rarely matches your design system, so budget ten minutes per screen to relabel tokens.

Is Galileo AI free?

No. Galileo is paid, with a free trial of limited generations that is enough to test output quality but not to run a project. Paid plans are aimed at teams and priced per seat; the pricing page quotes custom tiers rather than a public number, which means you have to talk to sales. That friction is real and worth weighing if you just want to experiment.

Where does it fall short?

It designs consumer-style screens well and dense data tables poorly. Ask for a 12-column admin grid with filters and the result often collapses into a plain list. Copy is generic placeholder text, not product-specific writing, so expect a rewrite pass. It also cannot read your existing design system, so brand consistency is a manual job.

Use it when you need to explore layout directions fast, especially for mobile flows. Skip it if you already have a mature component library and a designer who can move quickly.

Key Takeaways

• Galileo AI generates editable Figma layers, not flat images.
• Prompt with screen, content list, and style in three short parts.
• There is no free tier beyond a trial; pricing is custom and sales-gated.
• It handles consumer mobile layouts better than dense admin tables.
• Expect a rewrite pass for copy and manual relabelling for your design tokens.