BitWithBite
n8n Automation Worksheet
⚙️ AI Nodes in n8n
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NameClassDate
After this worksheet you can
What AI nodes add to a workflowConnecting an LLM (e.g. OpenAI) nodePrompting inside a workflowCombining AI output with other nodes📚 Quick Recap
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 reason and act, chain prompts together, and create fully autonomous AI pipelines.
🧠 Section A · Concept Check ● BEGINNER 4 × 1 = 4
1AI nodes in n8n let a workflow:
2To call an LLM you typically need:
3The text instruction sent to an AI node is called the:
4AI node output can be passed to later nodes just like:
🧮 Section B · Problem Solving ● INTERMEDIATE 2 + 3×3 = 11
5AI nodes commonly connect to providers like .
6The instruction given to an AI model is the .
7Design: summarize an incoming support email and post the summary to Slack.
8Why use an expression inside the prompt instead of static text?
9What should you double-check before sending user data to an AI node?
🚀 Section C · Challenge ● CHALLENGE 5
10How would you use AI output to decide a workflow branch?
💭 Reflection — the most useful thing I learned:
A ___/4 B ___/11 C ___/5 Total ___/20
Teacher's Signature
Parent's Signature
✂ answer key — fold or cut before handing out
1-A 2-A 3-A 4-A | 5 OpenAI 6 prompt 7 = Webhook/email trigger to AI node (prompt: summarize) to Slack node with the summary 8 = Lets each run's prompt reflect the actual incoming data 9 = That sending that data to a third-party AI provider is acceptable/compliant | 10 = Feed the AI response into an IF/Switch node to route based on its content