Building AI Agents: Chat Trigger, Memory, and System/User Messages Explained [Part 1]

Video Description

Watch Part 2: https://www.youtube.com/watch?v=lkudvrC3AOU Welcome to Part 1 of the "Building AI Agents" tutorial series! In this video, Max walks you through everything you need to know to get started with AI Agents in n8n, the powerful workflow automation tool. Here's what you'll learn: ✨ What is an AI Agent? Understand the difference between AI Agents and Large Language Models (LLMs). 💡 Building Your First Agent: Create an interactive chat-based AI Agent using n8n's Chat Trigger and AI nodes. 🧠 Memory and Context: Configure memory to maintain context across multiple messages in a conversation. 🛠️ Prompt Engineering Basics: Best practices for crafting User and System messages to optimize your AI Agent's responses. 🚀 Publishing Your Agent: Learn how to activate and share your AI Agent via n8n's chat UI. Chapters 00:00 01:27 - Key concepts: AI Agents vs. LLMs 02:25 - What is n8n 03:30 - Build an AI Agent 05:55 - Add chat model 07:16 - Run the AI Agent 08:10 - AI Agent settings 09:54 - System messages 14:19 - Adding memory 17:16 - Activating workflow, Chat trigger 18:38 - Iterating & troubleshooting once live 19:30 - Wrap up 💬 What kind of AI Agents would you like to create? Share your ideas in the comments! 🌟 See you in Part 2, where we'll dive into integrating tools and services with your AI Agents to supercharge their capabilities! 🔗 Links and Resources: - Sign up at n8n.io and get 50% off for 12 months with coupon code MAX50 (apply the code after your free trial)! - docs.n8n.io for documentation - community.n8n.io for help whilst building