Let's build an AI agent. Learn how LLM's can respond to the results of tool calls with Vercel's AI SDK.

Build any LLM app in TypeScript with Vercel's AI SDK. Learn streaming, structured outputs, tool calls and agents.

Learn how to extract structured data from PDF invoices using the Vercel AI SDK and Zod schemas, enabling automated data processing and database storage.

Learn how to build a sentiment analysis system using enums and the AI SDK to classify text as positive, negative, or neutral in just a few lines of code.

Learn how to do tool calling in TypeScript with Vercel's AI SDK, using the simplest possible example.

Learn how to connect Vercel's AI SDK to local or remote models using OpenAI-compatible APIs, featuring LM Studio integration on localhost.

Learn how to easily switch AI models using Vercel's AI SDK for flexible and decoupled application development.

Learn how to use Vercel's AI SDK to stream text to massively improve your user's experience.

Future-proof your AI features with Vercel's AI SDK. Write once, run anywhere across OpenAI, Anthropic, and other LLM providers.

Learn how agents differ from workflows and why to start AI projects with LLM APIs, not frameworks.

Learn about deterministic evals, human feedback, and LLM-as-a-judge.

The future of GenAI's is dull, workaday usefulness. For the application builder, they are a tool like any other.