# Building functional AI agents using LangChain Day2 Lecture

> In this lecture, Zach builds on prior discussions, focuses on why agents fail, how to provide the right context, and when to use multi-agent architectures. He introduces new endpoints to the Data Expert API that help participants create a functioning version of Zach GPT. He encourages attendees to…

- Web page: https://www.dataexpert.io/lesson/buildingfunctionalaiagentsusinglangchainday2lecture-mar26-p737-l2139
- Program: [AIExpert](https://www.dataexpert.io/program/ai-expert)
- Module: Week 1: Prompt Engineering & Basic RAG
- Access: Requires enrollment in AIExpert
- Length: 40 min video
- Skills: Python, NLP, MLOps, LLMs, Problem Solving
- Academy: DataExpert.io Academy

## About this lesson

In this lecture,  Zach builds on prior discussions, focuses on why agents fail, how to provide the right context, and when to use multi-agent architectures. He introduces new endpoints to the Data Expert API that help participants create a functioning version of Zach GPT. He encourages attendees to consider the difference between false positives and false negatives and to share their thoughts in the chat.

## Navigation

- Previous lesson: [Building functional AI agents using LangChain Day1 Lab](https://www.dataexpert.io/lesson/buildingfunctionalaiagentsusinglangchainday1lab-mar26-p737-l2138.md)
- Next lesson: [Building functional AI agents using LangChain Day2 Lab](https://www.dataexpert.io/lesson/buildingfunctionalaiagentsusinglangchainday2lab-mar26-p737-l2140.md)