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v0 is Vercel’s AI-powered web app development tool, which can generate interfaces and application code from textual requirements, iterate and preview within the editor, and connect to GitHub and Vercel for collaboration and deployment.

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What is v0?

v0 is designed for the workflow from requirements to a production-ready web application. You can start by describing features in a chat, or import an existing project and view code, AI-generated changes, and previews—all within the same workspace. Officially listed projects include dashboards, e-commerce platforms, SaaS applications, data visualization tools, and AI-powered apps.

The built-in editor and preview support server-side features, including API routing, database connections, and environment variables. After connecting to GitHub, changes are committed to a working branch and enter the release process via pull requests; you can also start a new project from chat without connecting to GitHub. The full preview and deployment experience is organized around Vercel projects, while the code can be exported for deployment in other environments.

Before deployment, the generated code, permissions, data flows, and runtime configurations should be reviewed. Quotas determine the usage of generation capabilities, and application deployment as well as third-party services each have their own requirements; having AI generate a page does not equate to completing production‑environment validation.

Key features

  • Requirement Generation: Describe interface and application functionalities using natural language.

  • Code iteration: Review changes across the editor, AI chat, and preview.

  • Full-stack preview: Supports API routing, database connections, and environment variables.

  • Collaborative publishing: You can import GitHub repositories, use branches and pull requests, and connect to Vercel for deployment.

Use cases and audience

Developers, designers, and product teams who need to build prototypes, marketing websites, or web applications.

  • Create interactive prototypes from the requirements and continue implementing application features.
  • Modify the interface on an existing codebase and collaborate on the release via pull requests.
Input

Natural language requirements, existing projects, supported reference materials, or GitHub repositories.

Output

The application interface, source code, a runnable preview, and the configured, published website.

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