🤖 What Are AI Agents in This Tutorial?
AI agents are more than chatbots — they’re intelligent programs that can complete tasks on their own. In this AI agent tutorial with n8n, we’ll show you how to build one step-by-step inside your n8n workflows.
With access to tools, memory, and powerful large language models (LLMs), your agent can respond to prompts, summarize topics, and perform actions without manual input.
🛠️ How to Build Your First AI Agent in n8n
- Set up a trigger — we suggest starting with a click-based trigger inside a test workflow.
- Use the
getfeature in n8n to allow your agent to respond to incoming messages or queries. - Add system prompts to define how your agent should behave.
💬 Integrating Chat Models (LLMs)
Every effective AI agent needs a chat model. Most are paid — but we show how to connect to free options like Google Gemini or Grok via DeepSeek API. This makes your AI automation more accessible without sacrificing power.
🧩 Advanced AI Agent Tools
Take your agent further by integrating tools, enabling memory, and generating real-time summaries. This tutorial includes examples of how to issue prompts and create a more responsive, intelligent workflow.
🎯 What You’ll Learn in Part 2
- How to start your AI workflow with the right trigger
- Connect the right chat model for your use case
- Set up API keys with Grok for maximum capability
- Add system messages and prompts for deeper customization
🔗 Helpful Resources
- Explore n8n and AI agent docs: n8n.io
- Missed Part 1? Start from the beginning here
- Next: Part 3 – How to Make AI
📌 Final Thoughts
This AI agent tutorial with n8n unlocks the next level of workflow automation. You’re no longer just automating tasks — you’re teaching your system to think, respond, and take action intelligently.
In Part 3, we’ll go even deeper into advanced AI techniques and unleash the full power of autonomous workflows. Stay tuned!
