Build a Support Agent with Vercel AI SDK
Key Takeaways
Builds a customer support AI agent using Vercel AI SDK and TypeScript
Original Description
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.
Watch on External: Coursera ↗
(saves to browser)
Sign in to unlock AI tutor explanation · ⚡30
More on: Prompt Systems Engineering
View skill →Related Reads
📰
📰
📰
📰
Prompt Engineering Without the Guru Stuff
Medium · ChatGPT
Entrepreneurs don’t need more hours. They need better prompts.
Medium · ChatGPT
Why Most People Get Bad AI Answers: Prompt Engineering Explained
Medium · ChatGPT
How Prompt Engineering is Changing the Way We Search for Information!
Medium · ChatGPT
🎓
Tutor Explanation
DeepCamp AI