Google Unveils Generative UI with Gemini 3
AI Models Now Create Complete Interactive Experiences On-the-Fly
Revolutionizing User Interfaces
Google introduces a paradigm shift where AI generates complete visual experiences, not just text responses
Google has launched a novel implementation of generative UI, enabling AI models to create immersive experiences and interactive tools completely on the fly for any prompt. This capability is now rolling out in the Gemini app and Google Search, starting with AI Mode.
Generative UI represents a powerful capability where an AI model generates not only content but an entire user experience. According to Google Research, this implementation dynamically creates immersive visual experiences and interactive interfaces—such as web pages, games, tools, and applications—automatically designed and fully customized in response to any question, instruction, or prompt. These prompts can be as simple as a single word or as detailed as needed for complex instructions.
The interfaces created through generative UI differ markedly from static, predefined interfaces where AI models typically render content. Google’s new paper, “Generative UI: LLMs are Effective UI Generators”, describes the core principles enabling this implementation and demonstrates the viability of this paradigm. Evaluations indicate that when generation speed is not considered, interfaces from generative UI implementations are strongly preferred by human raters compared to standard LLM outputs, though human-expert designed sites remain the highest preference baseline.
Gemini’s Massive Scale & Impact
Source: Google CEO Sundar Pichai
“Gemini 3 is our most intelligent model that combines all of Gemini’s capabilities together so you can bring any idea to life. It’s state-of-the-art in reasoning, built to grasp depth and nuance—whether it’s perceiving the subtle clues in a creative idea or peeling apart the overlapping layers of a difficult problem.”
Gemini Evolution Timeline
From multimodality to full-scale agentic capabilities
Key Capabilities of Generative UI
How Gemini 3 creates dynamic, interactive experiences
Dynamic Visual Experiences
Creates web pages, tools, games, and applications automatically designed and fully customized for any prompt—from single-word queries to detailed instructions. The system generates layouts, interactions, and visual elements in real-time.
Context-Aware Intelligence
Understands that explaining complex concepts to different audiences requires different content and feature sets. For instance, explaining the microbiome to a 5-year-old requires a completely different interface than explaining it to an adult with scientific background.
Tool-Integrated Generation
Server provides access to key tools like image generation and web search, allowing results to be made accessible to the model to increase quality or sent directly to the user’s browser to improve efficiency, as detailed in Google’s research blog.
Agentic Coding Capabilities
Uses Gemini’s agentic coding capabilities to design and code fully customized interactive responses for each prompt. The model scores 54.2% on Terminal-Bench 2.0 and achieves 76.2% on SWE-bench Verified, demonstrating advanced coding abilities.
Multi-Platform Availability
Rolling out in the Gemini app through dynamic view and visual layout experiments, and in AI Mode in Google Search for Google AI Pro and Ultra subscribers in the U.S.
Wide Application Range
Useful for learning about probability, event planning, getting fashion advice, exploring educational topics, creating galleries, and more. Interfaces allow users to learn, play, or explore interactively with customized experiences for each use case.
Gemini 3 Benchmark Performance
State-of-the-art results across major AI evaluations
How Generative UI Works
The technical architecture behind on-demand interface generation
Three Core Components
- Tool Access: Server provides access to several key tools, like image generation and web search. Results can be made accessible to the model to increase quality or sent directly to the user’s browser to improve efficiency.
- Carefully Crafted System Instructions: The system is guided by detailed instructions that include the goal, planning, examples, and technical specifications, including formatting, tool manuals, and tips for avoiding common errors.
- Post-Processing: The model’s outputs are passed through a set of post-processors to address potential common issues and ensure quality control.
The generative UI implementation uses Google’s Gemini 3 Pro model with these three important additions, as described in the research paper. The LLM takes input from user prompts while taking into account underlying system instructions and utilizes tools where needed, outputting HTML, CSS, and JavaScript directly to the user’s browser.
Real-World Applications
How people are using Generative UI today
Generative UI in AI Mode (Google Search)
Dynamic experiences integrated directly into search results
Generative UI experiences are integrated into Google Search starting with AI Mode, unlocking dynamic visual experiences with interactive tools and simulations generated specifically for a user’s question. Thanks to Gemini 3’s unparalleled multimodal understanding and powerful agentic coding capabilities, Gemini 3 in AI Mode can interpret the intent behind any prompt to instantly build bespoke generative user interfaces.
This development comes as Google AI Mode saw a 10% search surge, though clickthrough rates experienced some adjustments. By generating interactive tools and simulations on the fly, AI Mode creates a dynamic environment optimized for deep comprehension and task completion.
Availability Details
- Generative UI capabilities in AI Mode are available for Google AI Pro and Ultra subscribers in the U.S. starting today
- Select “Thinking” from the model drop-down menu in AI Mode to try it out
- Features enable dynamic visual layouts, interactive tools, and simulations generated on-demand
- Rolling out to additional regions and subscription tiers in the coming months
User Preference & Evaluation Results
How Generative UI compares to traditional AI outputs
To facilitate consistent evaluations and comparisons of generative UI implementations, Google created PAGEN, a dataset of human expert-made websites. According to the research paper, user preference evaluations compared the new generative UI experience against various formats. Human-expert designed sites received the highest preference ratings, with generative UI outputs ranking second and strongly preferred over baseline LLM text outputs and standard search results:
Important Note: This evaluation did not take into account generation speed. The paper shows that performance of generative UI strongly depends on the performance of the underlying model, with the newest models performing substantially better.
Developer Access & Tools
Building with Generative UI across platforms
GenUI SDK for Flutter
Google published the GenUI SDK for Flutter (alpha) enabling rich and dynamic user interfaces with Flutter and generative UI capabilities integrated directly into mobile and web applications.
Google Antigravity
New agentic development platform where agents can autonomously plan and execute complex, end-to-end software tasks while validating their own code. Includes access to Gemini 3 Pro and the Gemini 2.5 Computer Use model.
AI Studio & Vertex AI
Build with Gemini 3 in Google AI Studio and Vertex AI for enterprise applications. Access powerful generative UI capabilities through Google’s cloud infrastructure.
Gemini CLI
Command-line interface with 1,000 free daily AI requests, providing developers quick access to Gemini 3’s generative UI and coding capabilities directly from the terminal.
Third-Party Integrations
Available in popular platforms like Cursor, GitHub, JetBrains, Manus, Replit and more, enabling developers to access Gemini 3’s capabilities within their existing workflows and development environments.
Gemini Enterprise
Enterprise-grade access through Gemini Enterprise with dedicated pricing, AI agents, and Model Armor security features for business applications.
Industry Response
How AI leaders reacted to the Gemini 3 launch
“Congrats.”
“Congrats to Google on Gemini 3! Looks like a great model.”
The announcement came via an X post from Google CEO Sundar Pichai, who wrote “Geminiii,” adding extra ‘i’s as perhaps a nod to the Roman numeral three. The rapid responses from major AI competitors demonstrate the significance of this launch in the ongoing AI race.
Gemini 3 Deep Think Mode
Enhanced reasoning for the most complex problems
Gemini 3 Deep Think mode pushes the boundaries of intelligence even further, delivering a step-change in Gemini 3’s reasoning and multimodal understanding capabilities to help solve even more complex problems. In testing, Gemini 3 Deep Think outperforms Gemini 3 Pro’s already impressive performance.
Deep Think Enhanced Scores
Deep Think is taking extra time for safety evaluations and input from safety testers before making it available to Google AI Ultra subscribers in the coming weeks. This enhanced mode demonstrates ability to solve novel challenges and represents a significant advancement in AI reasoning capabilities.
Acknowledged Limitations & Future Opportunities
Google’s transparency on challenges and roadmap
How to Get the Best Results
Practical prompting tips for generative UI
Effective Prompting Strategies
- Specify Audience & Goal: “For a 12-14 year-old science club, create an interactive lesson on RNA transcription with 3 short quizzes.”
- Define Layout & Assets: “Include a 60-second animated explainer, a step-by-step timeline, and printable summary notes.”
- Set Style Preferences: “Use neutral professional tone; brand colors #0066CC and #FFFFFF; mobile-first responsive layout.”
- Request Specific Tools: “Include interactive map with regional data, comparison sliders, and exportable charts.”
- Provide Context: Longer, detailed prompts often produce better results than single-word queries, especially for complex interfaces.
Try Generative UI Today
Experience the future of AI-generated interfaces with Gemini 3’s dynamic view and visual layout
Related Coverage
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