Level Up Your AI Agent: Understanding Plan-and-Execute Architecture with LangGraph

Discover how to take your AI Travel Agent to new heights with the robust Plan-and-Execute architecture! In this first part of our two-video series, we'll dive deep into the theory behind this advanced AI concept. Learn how explicit long-term planning, efficient task distribution, and adaptive re-planning can transform your AI agent. Whether you're a seasoned developer or an AI enthusiast, this video will prepare you for the exciting practical implementation in part two. Don't miss this crucial step in creating a truly intelligent and flexible AI Travel Agent!

As I said in the video, I would highly recommend for you to watch my previous tutorial:
1. *Build an AI Travel Agent from Scratch*

Join this channel to get access to the perks:
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*TIMESTAMPS:*
00:06 Introduction
01:02 Overview of Plan-and-Execute Agent Architecture
01:53 Planning Step
02:30 Execution Step
02:52 Re-Planning Step
03:28 Advantage To Our AI Travel Agent
04:04 Preview of Implementation
04:41 Conclusion
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⚙️ *Github Project for you to follow along in this tutorial:*
1. *Github Repository:*

⚙️ *Related YouTube Tutorials:*
1. *Build an AI Travel Agent from Scratch*
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⚡️ *Social Media:*

⚙️ *Links:*

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