About this Video

• Video Title: How to Build AI Agents in n8n for Beginners! (Full n8n Guide)
• Channel: AI Foundations
• Speakers: One speaker (name not provided in transcript)
• Duration: 00:50:00

Introduction

This video provides a comprehensive guide for beginners on building AI agents using n8n, a low-code/no-code automation tool. The tutorial covers the fundamentals of n8n, explains the differences between automations and agents, and walks viewers through building a weather reporting agent step-by-step.

Key Takeaways

• n8n Overview: n8n is a low-code/no-code platform for connecting apps and automating tasks, including AI agent building. It offers both free and paid versions.
• Agent vs. Automation: An agent is an AI-integrated automation, offering adaptability to unique situations unlike fixed automations.
• n8n Interface and Nodes: The video details the n8n interface, explaining the use of nodes (trigger, action, utility, code, agent) to build workflows.
• Building an AI Agent: The tutorial demonstrates creating a weather reporting agent, incorporating prompt engineering, HTTP requests to access weather APIs, code nodes for message customization, and Gmail integration for email delivery. The process includes adding memory and tools to enhance agent capabilities and context.
• Agent Capabilities: The video showcases how to use AI agents to interact conversationally, access tools (like weather APIs and email), and dynamically generate responses.

The video uses ChatGPT to generate JavaScript code for a code node within the n8n workflow. The prompt given to ChatGPT is: "Create an n8n code node that parses this weather JSON and returns a message with: In Chicago, the high today is [high temperature], the low today is [low temperature]." The weather JSON refers to the data structure received from the OpenWeatherMap API call (via the HTTP request node). ChatGPT then generates the JavaScript code that extracts the high and low temperatures from this JSON data and formats them into a custom message string.