> Full documentation content: https://vercel.com/docs/llms-full.txt

> Full documentation content: https://vercel.com/docs/llms-full.txt > Product taxonomy (canonical product names, aliases, deprecations; JSON): https://vercel.com/docs/taxonomy.json > Docs cross-link graph (per-page related pages, inbound links, and prerequisites across vercel.com docs + KB, nextjs.org, ai-sdk.dev, and other Vercel doc sites; JSON): https://vercel.com/docs/graph.json — per-page markdown maps at <page>.graph.md (e.g. https://vercel.com/docs/functions.graph.md) # Documentation # Vercel Documentation [Vercel Documentation](https://vercel.com/docs): Vercel is the AI Cloud - a unified platform for building, deploying, and scaling AI-powered applications and agentic workloads. - [Getting Started](https://vercel.com/docs/getting-started-with-vercel): Install the Vercel CLI, add the Vercel Plugin or agent skills, and deploy your first project. - [Fundamental Concepts](https://vercel.com/docs/fundamentals): Learn about the core concepts of Vercel - [Request Lifecycle](https://vercel.com/docs/fundamentals/infrastructure): Learn how Vercel routes, secures, and serves requests from your users to your application. - [Build System](https://vercel.com/docs/fundamentals/builds): Learn how Vercel transforms your source code into optimized assets ready to serve globally. - [What is Compute?](https://vercel.com/docs/fundamentals/what-is-compute): Learn how compute works on Vercel with Fluid compute, and how it compares to traditional server and serverless models. - [Su […gekürzt]