Galileo AI for Designers: Generate UI Designs from Text Prompts

Galileo AI turns text descriptions into UI designs. Describe what you need—”a fintech dashboard with dark mode and transaction cards”—and it generates high-fidelity interface mockups in seconds. Unlike general AI image tools, it’s trained specifically on UI patterns, component libraries, and interface conventions, producing designs that look like actual products rather than artistic renderings.

Designers use Galileo AI for rapid ideation, exploring multiple directions quickly, and creating starting points that they refine in Figma or Sketch. It’s not replacing design work—it’s compressing the early exploration phase from hours to minutes, letting you spend more time on refinement, interaction design, and solving hard problems.

Key Specs

How Designers Use Galileo AI

Rapid Concept Exploration

Generate 10 different dashboard layouts in 10 minutes instead of spending days sketching or wireframing. Galileo AI lets you test wildly different approaches without the time investment of traditional design exploration. Describe variations—”professional and minimal,” “colorful and friendly,” “data-dense for power users”—and compare directions side by side. Teams use this to align on design direction before investing in detailed design work.

Starting Points for Complex Interfaces

Creating a new SaaS dashboard or admin panel from scratch involves hundreds of decisions about layout, hierarchy, and component placement. Galileo AI generates a complete starting point that you can import into Figma and refine. Even if you change 50% of what it produces, you’ve saved hours of initial setup and established a structural foundation to build from.

Design Presentation and Client Pitches

Generate multiple high-fidelity concepts for client presentations without the time cost of fully designing each option. Show clients visual directions early in the process when feedback is cheapest to incorporate. Agencies use Galileo AI to produce pitch materials that look polished enough to win projects, then refine the chosen direction afterward.

Learning UI Patterns and Conventions

Study how Galileo AI structures common interfaces—onboarding flows, settings screens, checkout processes. It synthesizes patterns from thousands of real products, showing you established conventions for different UI challenges. New designers use this as a learning tool to understand what “good” looks like for different interface types.

Galileo AI vs. Alternatives

Getting Started with Galileo AI

Step 1: Start with Specific Prompts

Generic prompts produce generic results. Instead of “design a mobile app,” try “iOS task management app with a calendar view, dark mode, card-based task list, and floating action button for adding tasks.” Specify platform, layout structure, key UI elements, and visual style. Look at the examples Galileo AI provides to understand what level of detail works well.

Step 2: Generate and Compare Variations

Create 3-5 variations with different style keywords or structural approaches. Try “minimalist,” “glassmorphic,” “material design,” “brutalist,” or “iOS native.” Compare how the same functional requirements look in different visual treatments. This helps you identify which direction resonates before committing to detailed design work.

Step 3: Export to Figma and Refine

Don’t expect perfection from AI output. Export your chosen direction to Figma, where you’ll find editable layers, text, and shapes. Use this as a scaffold: adjust spacing, refine typography, apply your brand colors, fix any weird AI decisions, and add interaction details. The AI gave you structure and layout—you provide the craft and intentionality.

Galileo AI in Your Design Workflow

Before design

Use Galileo AI during the exploration phase, after you understand requirements but before committing to a specific design direction. Generate multiple concepts to align stakeholders on visual approach and information hierarchy. Create rough prototypes for user research to test different structural approaches without investing in pixel-perfect design.

During design

Generate reference designs for specific interface challenges. Stuck on how to structure a complex form or data table? Generate a few AI versions to see different layout approaches, then cherry-pick good ideas. Use it as a creative sparring partner when you’re blocked or working in unfamiliar domains.

After design

Generate variations of existing designs for A/B testing or marketing materials. Export production designs and use Galileo AI to quickly create alternative hero section layouts or landing page structures for testing without rebuilding from scratch.

Pairs well with

Figma for refining AI-generated designs and building production-ready files. Maze or UsabilityHub for testing AI-generated concepts with users early. Midjourney or DALL-E for custom illustrations and visual assets to incorporate into Galileo AI-generated layouts. v0 if you need code output instead of design files.

Common Problems (and How to Fix Them)

Designs Look Generic or Template-Like

Why it happens: Galileo AI trains on existing interfaces, so it gravitates toward common patterns. Vague prompts produce the most common solution to that problem.

Fix it: Add specificity about unusual layouts, unique interactions, or distinctive visual styles. Reference specific design movements (“Swiss design,” “Memphis style”), companies (“like Linear’s minimal approach”), or unusual constraints (“one-handed thumb navigation”). The more specific your prompt, the more distinctive the output.

Text Content Is Nonsensical or Off-Brand

Why it happens: AI generates placeholder content that sounds vaguely appropriate but doesn’t match your actual copy or tone.

Fix it: Expect to replace all text content. Galileo AI handles layout and visual structure; you handle messaging. Export to Figma and immediately replace headlines, labels, and body text with real content or at least properly crafted placeholder text. Never ship AI-generated copy without review.

Spacing and Alignment Feel Slightly Off

Why it happens: AI doesn’t perfectly understand grid systems, baseline alignment, or optical spacing adjustments that trained designers make instinctively.

Fix it: Use Figma’s alignment tools to systematically fix spacing after export. Set up an 8px grid and snap everything to it. Run Figma plugins like “Tidy” or “Sort Layers” to clean up layer organization. Consider AI output as 80% done—you provide the final 20% of polish.

Generated Design Doesn’t Match Current Design System

Why it happens: Galileo AI doesn’t know your specific component library, brand colors, or typography standards. It creates designs using generic UI patterns.

Fix it: Use Galileo AI for structure and layout inspiration, not production components. After export, swap AI-generated components with your design system components. Replace colors with brand tokens, update typography to match your type scale, and rebuild any custom components. Think of it as “sketching in high fidelity.”

Exporting to Figma Creates Messy Layer Organization

Why it happens: AI-generated files prioritize visual output over clean layer structure. Layers might be ungrouped, poorly named, or illogically organized.

Fix it: Immediately reorganize after import. Use Figma plugins like “Sorter” to batch rename layers, “Clean Document” to remove hidden or unnecessary layers, and manually group related elements into frames. Spend 10 minutes cleaning up structure before starting design refinement—it’ll save time later and make the file easier to work with.