Loop over items — beginner example
Ready for 3.0Ready for 3.0. This template uses no nodes that n8n 3.0 removes. No removed nodes, versions or helpers found. Static check, last run 2026-10-19.
What this workflow does
This AI workflow has 7 nodes and runs manually, when you click “Execute workflow”. Along the way it connects OpenAI Chat Model.
How it runs
Trigger: Manually, when you click “Execute workflow”.
- Create Random Data (Code): runs custom JavaScript code
- Loop Over Items (Loop Over Items (Split in Batches)): loops over the items in batches
- Output Table (Edit Fields (Set)): sets 2 fields: idea, output
- Create Captions (AI Agent): runs an AI agent, with model: OpenAI Chat Model; 1 tool (Tool: Inject Creativity)
Services it uses
Before you upgrade to n8n 3.0
Nothing in this workflow is removed in n8n 3.0, so it should import and run after the upgrade.
Nodes used (7)
- Loop Over Items (Split in Batches)
n8n-nodes-base.splitInBatches - OpenAI Chat Model
@n8n/n8n-nodes-langchain.lmChatOpenAi - Think Tool
@n8n/n8n-nodes-langchain.toolThink - Manual Trigger
n8n-nodes-base.manualTrigger - Code
n8n-nodes-base.code - AI Agent
@n8n/n8n-nodes-langchain.agent - Edit Fields (Set)
n8n-nodes-base.set
From the author
This workflow introduces beginners to one of the most fundamental concepts in n8n: looping over items. Using a simple use case—generating LinkedIn captions for content ideas—it demonstrates how to split a dataset into individual items, process them with AI,…