Google expands Canvas in AI Mode to all US users with document drafting and coding features

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Google has rolled out Canvas in AI Mode to all US users in English, moving beyond its Google Labs experiment phase. The AI-powered workspace enables users to draft documents, generate working prototypes, and create custom tools directly within Google Search. The feature now supports creative writing and coding tasks, allowing users to build interactive apps from natural language prompts.

Google Democratizes AI-Powered Workspace Through Search

Google has expanded Canvas in AI Mode to all US users in English, marking a significant shift from its previous status as a Google Labs experiment

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. The AI-powered workspace, which operates directly within Google Search, eliminates the need for any Labs opt-in, placing the AI tool in front of potentially billions of users who rely on Google's search platform daily

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Source: Android Authority

Source: Android Authority

Canvas in AI Mode represents Google's strategy to compete with rivals like OpenAI and Anthropic by embedding advanced AI capabilities where users already spend their time. Unlike ChatGPT's Canvas feature, which triggers automatically based on queries, Google's implementation requires more direct interaction through the tool menu

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Document Drafting and Interactive Tool Creation Take Center Stage

The latest update introduces enhanced capabilities for creative writing and coding tasks, extending beyond the feature's initial focus on organizing and planning projects like travel itineraries

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. Users can now generate working prototypes from simple natural language prompts, with Google providing examples such as building a dashboard to track academic scholarships complete with requirements, deadlines, and dollar amounts

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Source: The Verge

Source: The Verge

To access the feature, users select the Canvas option from the tool menu by clicking the plus icon in AI Mode, then describe what they want to create

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. Google generates results in a side panel that pulls information from the web and Google's Knowledge Graph, creating a dedicated workspace alongside the chat interface

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From Prompts to Functional Prototypes in Seconds

The no-code development approach enables users to describe an idea and watch as Canvas generates functional code, transforming concepts into shareable apps or games

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. One tester requested a working prototype of a commerce website for t-shirts, and within moments, Gemini produced a functional site complete with product displays

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. Another example involved creating a dashboard showing live New York MTA subway data, with the AI coding tool successfully integrating real-time information

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Source: PCWorld

Source: PCWorld

Users can test functionality, toggle to view and edit underlying code, and refine applications through follow-up prompts without leaving the search experience

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. This code editing capability positions Canvas as an accessible entry point for vibe coding, allowing anyone to experiment with app development directly from Google Search

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Strategic Positioning Against AI Competitors

Canvas is already available in Gemini, where Google AI Pro and Google AI Ultra subscribers access the latest Gemini 3 model with a 1 million-token context window for complex projects

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. By bringing Canvas to AI Mode in Search, Google leverages its dominant search platform to expose more users to advanced AI capabilities, a significant advantage in the competitive landscape against OpenAI and Anthropic

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The feature shares similarities with third-party tools like Lovable but distinguishes itself through immediate accessibility within the familiar user interface of Google Search

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. For users already familiar with Canvas from Gemini, the AI Mode integration offers a seamless transition between search and creation. The generated prototypes can also serve as starting points for more sophisticated development in dedicated AI coding environments

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As Google continues refining Canvas capabilities, the broad US rollout signals the company's commitment to making AI-assisted creation accessible to mainstream users, not just technical specialists or early adopters willing to navigate experimental features.

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