If you want to learn:
- How do I build my first AI workflow with n8n?
- What are AI agents and how do I create them in n8n?
- How do I connect AI tools and language models in a workflow?
- What is the n8n workflow editor and how does it work?
- How do I add memory and system prompts to AI agents?
- How can I automate tasks using n8n's AI agent node?
Then this lecture is for you!
In this hands-on tutorial, you'll build your first AI workflow with n8n using AI agents and tools. You'll learn how to use the n8n workflow automation platform to create agentic workflows from scratch. The lecture walks you through the n8n workflow editor, showing you how to add an AI agent node, connect it to language models like OpenAI or Google Gemini, and configure chat triggers to start your automation.
You'll discover how to build AI agents with memory using the simple memory node, allowing your AI assistant to remember conversation context. Learn to customize agent behavior by modifying the system prompt, transforming your helpful assistant into any personality you need. The step-by-step guide demonstrates how to add AI agent tools like Market Stack for real-time data retrieval, enabling your agent with n8n to make decisions and fetch information automatically.
This tutorial covers essential n8n concepts including nodes, connectors, triggers, and actions—the basic building blocks of every n8n workflow. You'll learn how to save the workflow, view executions, and understand how AI agents use prompts and LLMs to automate tasks. By the end, you'll have created a fully functional AI workflow that combines chat interaction, conversation memory, and external tool integration using n8n's no-code automation platform.