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YouTube

Building AI Agents with Chat Trigger, Memory and System Messages - Part 1

n8n via YouTube

Overview

Learn to create interactive AI agents in this 20-minute tutorial video that introduces fundamental concepts and practical implementation using n8n workflow automation tool. Discover the distinctions between AI Agents and Large Language Models while following step-by-step guidance on building a chat-based AI Agent. Master essential components including chat triggers, memory configuration for maintaining conversation context, and proper structuring of system and user messages. Explore practical aspects of prompt engineering, workflow activation, and agent deployment through n8n's chat interface. Follow along with clearly organized chapters covering key concepts, implementation steps, troubleshooting techniques, and best practices for optimizing AI Agent responses. Access comprehensive resources including documentation and community support, with special focus on integrating tools and services to enhance AI Agent capabilities. Gain hands-on experience in creating, testing, and deploying functional AI Agents while preparing for advanced concepts in subsequent tutorials.

Syllabus


- Key concepts: AI Agents vs. LLMs
- What is n8n
- Build an AI Agent
- Add chat model
- Run the AI Agent
- AI Agent settings
- System messages
- Adding memory
- Activating workflow, Chat trigger
- Iterating & troubleshooting once live
- Wrap up

Taught by

n8n

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