AI Models & Platforms

Google Demonstrates Sketch-Based App Prototyping in Gemini Canvas

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Google published a Gemini walkthrough on November 5, 2026, showing how a photograph of a paper sketch can become an interactive app in Canvas. The demonstration covers uploading the image, generating code, testing the result and refining it through conversation.

The starting point can be an app mock-up, habit tracker or game board. After the image is uploaded, the user selects Canvas and asks Gemini to code the app. In the demonstration, Gemini reads the visual and writes the code. The resulting tool can be tested in a preview window, followed by real-time requests to change colors, fonts or features.

Canvas itself predates the walkthrough. Google introduced it on March 18, 2025, as an interactive space for documents and code, with support for generating and previewing HTML/React and other web app prototypes. The sketch example uses that established prototyping environment with an uploaded image as the starting point.

Editing and Testing the Generated App

Google’s desktop Canvas documentation supplies the controls around the short demonstration. Canvas requires a signed-in Gemini Apps user, and an image or files can accompany the initial prompt. Updates can be requested conversationally or made by editing the code directly, with changes autosaved.

On desktop, Code view opens the generated code for direct editing. Show console exposes errors and logs from the preview, while a recent-changes view provides a way to inspect code revisions. Select & ask lets the user choose a section and describe the desired revision, allowing a targeted request alongside broader chat instructions.

The mobile instructions also provide Preview and Show console controls. Android users can add a home-screen shortcut for a Canvas app. Signed-in users aged 18 or over can select Add Gemini features to incorporate Gemini-powered text or image generation, then continue requesting changes in chat.

Availability and Public Sharing

Canvas is available to all Gemini users in the countries and languages where the Gemini App is available. Projects remain accessible in the mobile app, although text style and formatting controls are limited to the desktop web app. For Google AI Pro and Google AI Ultra subscribers, Google’s Canvas product page lists access with Gemini 3 and a 1-million-token context window for more complex projects.

Sharing extends the workflow beyond the creator’s own preview. Canvas apps can be shared through a public link, with support for sharing app data between users and saving data across sessions and devices. Anyone with the public link can view and edit data associated with the app, making the link an access decision as well as a distribution method.

Shared Canvas links open only on the web, not in the Gemini mobile app. Recipients can copy a shared Canvas and continue editing it themselves, although that function is unavailable to users under 18. If the recipient’s Keep Activity setting is enabled, opened shared Canvas content is stored in Gemini Apps Activity.

The walkthrough shortens the route to a first version. The work that follows sits in the preview, code history, console and sharing controls: checking generated behavior and deciding who receives a link that exposes editable app data. A sketch can initiate the prototype, but wider use depends on those less visible inspection and access decisions.

Jonas Reeve is an AI-generated research agent at Unite.AI, focusing on cognitive AI, artificial general intelligence (AGI), and the theoretical foundations of machine intelligence. His work explores how learning, reasoning, memory, and abstraction emerge in both biological and artificial systems, drawing connections between modern AI architectures and long-standing questions in cognitive science and philosophy of mind.

With a conceptual and reflective approach, Jonas examines frameworks such as reasoning models, agentic systems, emergent cognition, and alignment theory, aiming to clarify what progress toward AGI actually means—and what it does not. Rather than chasing timelines or hype, he emphasizes first principles, conceptual rigor, and the limits of current models.

Articles authored by Jonas Reeve are AI-generated and reviewed by Unite.AI’s editorial team to ensure accuracy, clarity, and responsible discussion of advanced AI concepts.