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Independent tool overview

Galileo AI at a glance

Galileo AI became Google Stitch after its acquisition by Google. The current Google Labs product turns text, images, code, and design files into high-fidelity interfaces, interactive prototypes, and developer-ready exports.

Visit the official Galileo AI site ↗
Galileo AI product preview
Current name
Stitch from Google Labs
Former product
Galileo AI
Best for
Fast UI exploration, prototypes, and design-to-code handoff
Inputs
Text, voice, images, wireframes, code, and design files
Outputs
UI screens, prototypes, design rules, and front-end code
Price
No separate Stitch subscription price is publicly listed

Overview

What Galileo AI is

Galileo AI is no longer a separate product or subscription. Google acquired the company, and its founders introduced Stitch as the next generation of the same mission: making interface design accessible through generative AI. The original Galileo website now opens Stitch.

Stitch began as a prompt-and-image tool for generating mobile and desktop UI designs plus front-end code. Google has since expanded it into an AI-native infinite canvas where teams can add text, images, code, and design files as context, explore multiple directions, and connect screens into interactive flows.

The current Stitch Agent can respond to text or voice, stream changes onto the canvas, critique a design, generate alternatives, and keep track of parallel ideas. It is a design exploration and handoff tool rather than a complete application backend.

Stitch can extract a design system from a website and import or export rules through DESIGN.md. It also connects to development workflows through its MCP server and SDK, AI Studio, Google Antigravity, front-end code exports, and publishing through Netlify.

Google continues to describe Stitch as an experimental Google Labs product. That makes it appealing for rapid ideation, but teams should preserve editable source files, verify export quality, and avoid depending on an experimental workflow as the only record of a production design system.

Use cases

Who Galileo AI is best for

The strongest fit depends on the job you need the product to complete, not the size of its feature list.

Early product exploration

Generate several interface directions before committing design and engineering time to one concept.

Founder and product-team prototypes

Turn a product brief, screenshot, or rough wireframe into a shareable flow that stakeholders can react to.

Design-system experiments

Extract visual rules from a reference site or move agent-friendly design guidance between projects with DESIGN.md.

Designer-to-developer handoff

Move an approved direction toward Figma, front-end code, AI Studio, Antigravity, MCP-connected tools, or a published preview.

Capabilities

Core Galileo AI features

1

AI-native infinite canvas

Keeps prompts, visual references, code, generated screens, and alternate directions together in one spatial workspace.

2

Text and voice direction

Accepts written or spoken requests and can interview the user, critique work, or apply design changes in real time.

3

Image and wireframe input

Uses screenshots, sketches, and rough wireframes as context for a new digital interface.

4

Streaming design agent

Shows work as it develops and lets the user steer a direction before the full generation finishes.

5

Interactive prototypes

Connects screens, previews flows, and can generate logical next screens from an interaction.

6

Design-system portability

Extracts styles from a URL and imports or exports reusable design rules through DESIGN.md.

7

Code and design exports

Moves generated work toward Figma, front-end code, Google AI Studio, Antigravity, and other connected developer tools.

8

MCP server and SDK

Exposes Stitch capabilities to compatible agent and development workflows instead of limiting work to the visual editor.

Process

How the Galileo AI workflow works

  1. Step 1

    Define the product goal

    Start with the user, problem, conversion or task objective, required screens, content, and constraints—not only a visual style.

  2. Step 2

    Add grounded references

    Bring a wireframe, existing code, approved brand assets, or a reference design you have permission to use.

  3. Step 3

    Explore distinct directions

    Generate meaningfully different layouts and interaction patterns before polishing colors, spacing, and component details.

  4. Step 4

    Build the complete flow

    Connect screens and test navigation, loading, empty, error, permission, and mobile states instead of judging one ideal screen.

  5. Step 5

    Apply a real design system

    Use approved tokens, accessibility rules, components, content patterns, and DESIGN.md guidance to reduce one-off output.

  6. Step 6

    Export and verify

    Inspect Figma layers or generated code for semantics, responsiveness, accessibility, dependencies, and maintainability.

  7. Step 7

    Test with users and engineers

    Validate the workflow with representative users and have developers estimate integration before treating the prototype as a build specification.

Cost

Galileo AI pricing and free plan

Google does not publish a separate Stitch subscription price. The product is accessible through Google Labs with a Google account, while capacity, model access, and experimental limits can change. Figma, Netlify, Google AI plans, Antigravity, and other connected services may have their own plans and charges.

Google Stitch

No separate price listed

The current Google Labs design experience is available through a Google account without a public Stitch checkout page.

  • Experimental product and limits can change
  • Availability can depend on account, age, country, or capacity
  • Do not assume unlimited commercial usage

Connected services

Separate

Downstream design, coding, hosting, model, and collaboration products retain their own commercial terms.

  • Figma plan may be separate
  • Netlify hosting may be separate
  • Google AI and developer-tool access may have separate limits or charges

Pricing checked . Check current pricing at the source ↗

Assessment

Galileo AI strengths and limitations

Where it stands out

  • Fast path from a product idea or wireframe to multiple polished UI directions
  • Supports both visual inputs and higher-level business or experience goals
  • Interactive flows make evaluation more useful than judging isolated screenshots
  • DESIGN.md and website-derived styles improve design-system portability
  • Code, Figma, MCP, SDK, AI Studio, and Antigravity connections bridge design and development
  • Google continues to expand the product rather than leaving Galileo users on an abandoned tool

What to consider

  • Stitch is still described as an experimental Google Labs product, so features, limits, and availability can change
  • Generated screens can look polished while missing product logic, realistic content, edge cases, accessibility, or technical constraints
  • Front-end output still needs engineering review for semantics, responsiveness, performance, security, dependencies, and maintainability
  • A generated prototype does not include a production backend, authentication, data model, observability, or operational support
  • Website and image references can create intellectual-property or brand-copying risk when the user lacks permission
  • Teams should not place confidential product plans, customer data, credentials, or proprietary code into an experimental service without confirming current data-use terms
  • The absence of a separate public price does not guarantee unlimited access or permanent free availability
  • Automatic design-system extraction cannot replace a maintained component library with documented behavior and accessibility rules
  • Exports and integrations can introduce separate vendor accounts, costs, permissions, and lock-in

Compare

Galileo AI alternatives

The right alternative depends on the specific output, workflow, controls and budget your project requires.

Design

Figma AI

Choose Figma AI when the priority is a mature collaborative design system, production design files, and an established designer workflow.

Explore Figma AI

Design

Vercel v0

Choose Vercel v0 when you want prompt-to-interface generation that moves quickly into a React and Vercel development workflow.

Explore Vercel v0

Design

Relume

Choose Relume when the main job is planning marketing-site sitemaps, wireframes, and component-based web design.

Explore Relume

Questions

Galileo AI FAQs

Is Galileo AI still active?

Galileo AI continues through Google Stitch rather than as a separate product. Google acquired Galileo AI, migrated users to Stitch, and the original Galileo website now opens the current Google Labs experience.

What is Google Stitch?

Stitch is an AI-native UI design canvas that turns text, voice, images, wireframes, code, and design files into interface concepts, interactive prototypes, design-system guidance, and developer exports.

Is Google Stitch free?

Google does not list a separate Stitch subscription price. Access and usage are governed through the Google Labs experience, and limits or future packaging can change.

Can Stitch generate production code?

It can generate front-end code and connect to developer tools, but the result remains a starting point. Engineers should review accessibility, state management, security, dependencies, responsiveness, performance, and maintainability.

Can Stitch export to Figma?

Google's official Stitch launch materials describe a paste-to-Figma workflow alongside front-end code export. Teams should confirm the current export options in their account because the experimental product changes quickly.

What is DESIGN.md in Stitch?

DESIGN.md is an agent-friendly Markdown file for moving design rules into or out of a Stitch project so a team can reuse visual and component guidance across tools.

Can Stitch build a full app?

Stitch can design screens, prototype flows, export code, and connect to build tools. A production app still needs backend logic, authentication, data storage, testing, deployment, monitoring, security, and ongoing maintenance.

Who should use Stitch?

It is best for designers, founders, product managers, and front-end developers who need rapid interface exploration and a clearer bridge from concept to prototype or implementation.

Bottom line

Our Galileo AI verdict

Galileo AI's move into Google Stitch is a meaningful upgrade rather than a simple rename. Stitch is strongest as a rapid design-and-prototyping partner that helps teams explore more directions and move a chosen concept toward real development. Keep human design judgment, accessibility review, user testing, and code review in the loop, and preserve source artifacts outside an experimental product.

Visit Galileo AI website ↗
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