Build a Support Agent with Vercel AI SDK

This course shows you how to build a real customer support AI agent, from retrieval to reasoning to reliable responses. Whether you’re integrating AI into an existing product or launching your first agent, you’ll learn a practical, modern stack that’s fast to build, easy to extend, and ready for production. What is the Vercel AI SDK? Vercel AI SDK is a TypeScript-first toolkit for building AI features. It streamlines text generation, embeddings, and structured outputs. It plays nicely with tools, so your agent can call functions including “search the web” or “query my knowledge base” safely and predictably. In this course, you’ll ship a customer support agent that: - Embeds support docs into a Supabase vector store. - Uses retrieval and web search as tools, selected on-the-fly based on the user’s question. - Classifies intents with structured outputs (via generateObject + Zod). - Answers questions with grounded, trustworthy responses—pulling from your docs when relevant or searching the web in real time when needed

• Use Vercel AI SDK to build a customer support agent
• Learn to create a fast, extendable, production-ready AI stack
• Implement retrieval, classification, and reliable responses

• Basic familiarity with the topic and its common terminology
• Readiness to practice through applied exercises or case-based work