Build an AI Support Agent with Vercel AI SDK

Customer support is being transformed by artificial intelligence, but building an agent that is both reliable and helpful requires more than just a basic API call. This text-only course guides you through the process of constructing a functional AI support agent capable of reasoning, calling tools, and retrieving accurate data.\n\nBy reading through these structured lessons, you will transition from understanding basic generative AI concepts to deploying a structured, state-aware support agent. You will learn how to connect language models to external data sources and define clear boundaries so your agent provides safe, helpful answers.\n\nWhat you'll learn:\n- Understand the core architecture of AI agents and how Vercel AI SDK simplifies model integration\n- Configure system prompts to establish consistent tone, guidelines, and safety guardrails\n- Implement tool calling to let your support agent fetch live data and perform mock database actions\n- Apply retrieval-augmented generation (RAG) concepts to supply the agent with custom knowledge bases\n- Manage chat state and history to ensure coherent, multi-turn conversations\n- Structure reliable, type-safe responses using modern TypeScript and SDK features\n\nThe course starts with essential terminology and SDK installation, then gradually introduces tool calling, context retrieval, and state management through clear, step-by-step written explanations and code examples. It is designed for developers and tech enthusiasts who want to learn AI engineering basics, with no prior AI experience required.\n\nStart reading today to build your own intelligent support agent from scratch.