BitWithBiten8n Automation · Quick Reference
AI Nodes & LLM Integration Cheat Sheet
In one line: You have mastered N8N. Now unlock its most powerful capability: integrating Large Language Models. In this lesson you will connect GPT-4 to your workflows, build AI agents that ...
Key Ideas
1The OpenAI Node — Direct GPT Integration. N8N's built-in OpenAI node gives you direct access to GPT-4, GPT-3.5-Turbo, DALL-E, Whisper, and the Embeddings API. Set it up once with your API key and use it in any...
2AI Agents — Let AI Drive Your Workflow. N8N's AI Agent node is more powerful than the basic OpenAI node. It gives the AI access to tools (like web search, calculators, or custom N8N sub-workflows) and lets i...
3Prompt Chaining — Multi-Step AI Pipelines. Complex AI tasks often need multiple LLM calls in sequence. Chain OpenAI nodes together where each node's output feeds the next node's input, building up a multi-step ...
4🧠 AI Integration Final Check
1. You want to build a system where the AI can search the web, check your database, and send emails autonomously to complete a task. Which N8N feature should you use?
OpenAI Node (Message operation)
AI Agent Node with tools configured
HTTP Request node to call OpenAI API directly
Schedule Trigger + OpenAI Node
Check Answer
2. In the OpenAI node, what is the difference between the System message and the User message?
System message is encrypted; User message is plain text
System message sets the AI's role and behavior; User message is the actual input/task from the workflow
System message is limited to 100 tokens; User message can be any length
They are the same — N8N just uses two fields for UX reasons
Check Answer
3. How do you pass the output of one OpenAI node into the next OpenAI node in a prompt chain?
Copy and paste the output manually between nodes
Use the expression {{ $('NodeName').item.json.message.content }} in the next node's prompt
N8N automatically passes the output without any configuration
Use a Set node to explicitly name the output before passing it
Check Answer
Finished Lesson 12?
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Code Examples
Gmail Trigger (new email arrives)
↓
OpenAI Node
Model: gpt-4
System: "You are a concise email summarizer. Return 3 bullet points max."
User: "Summarize this email: {{ $json.text }}"
↓
Slack Node → Post summary to #inbox-summary channel
Step 1 — OpenAI (Research)
Prompt: "List 5 key facts about: {{ $json.topic }}"
Output: list of 5 facts → saved to facts variable
Step 2 — OpenAI (Outline)
Prompt: "Create a blog post outline using these facts:
{{ $('Step 1').item.jso...