If you want to learn:
How do I build my first AI agent using n8n and OpenAI?
What's the difference between using OpenAI and OpenRouter in n8n workflows?
How can I add memory to an AI chatbot so it remembers conversations?
What are AI agent tools and how do I integrate real-world APIs like Market Stack?
How do I set up OpenAI API credentials in n8n for workflow automation?
Can I create AI-powered applications without coding using visual workflow platforms?
Then this lecture is for you!
In this hands-on tutorial, you'll build your first functional n8n AI agent from scratch using OpenAI's GPT-4o-mini model and the Market Stack API. You'll start by creating a new workflow in n8n, configuring the Chat OpenAI node with your API credentials, and setting up the AI Agent component. The lecture walks you through adding Simple Memory to enable conversational persistence, allowing your AI agent to remember context throughout the chat session. You'll then integrate the Market Stack Tool to give your agent the capability to retrieve real-time end-of-day equity prices for stocks like Google. This practical demonstration shows how to connect AI models with external APIs, configure tool parameters for automatic model definition, and test your agentic workflow through n8n's chat interface. By the end, you'll understand the fundamental difference between stateless LLMs and AI-powered applications with memory, and you'll have created a working AI agent that can hold conversations and execute real-world data lookups—all through visual workflow automation without writing code.