Generate eCommerce product descriptions with GPT-4o-mini and Airtable
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 10 nodes and runs on a schedule (every 15 minutes). Along the way it connects Airtable and OpenAI Chat Model.
How it runs
Trigger: On a schedule (every 15 minutes).
- Fetch Pending Products (Airtable): search
- Split Into Batches (Loop Over Items (Split in Batches)): loops over the items in batches
- AI Agent: runs an AI agent, with model: OpenAI Chat Model; memory: Memory - Conversation Buffer; output parser: Output Parser - Structured JSON
- Parse AI JSON (Code): runs custom JavaScript code
- Prepare Airtable Update Data (Edit Fields (Set)): sets 7 fields: id, ai_long_description, ai_short_answer_block…
- Update Product In Airtable (Airtable): update
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 (9)
- Schedule Trigger
n8n-nodes-base.scheduleTrigger - Airtable
n8n-nodes-base.airtable - Loop Over Items (Split in Batches)
n8n-nodes-base.splitInBatches - Code
n8n-nodes-base.code - Edit Fields (Set)
n8n-nodes-base.set - OpenAI Chat Model
@n8n/n8n-nodes-langchain.lmChatOpenAi - Simple Memory
@n8n/n8n-nodes-langchain.memoryBufferWindow - Structured Output Parser
@n8n/n8n-nodes-langchain.outputParserStructured - AI Agent
@n8n/n8n-nodes-langchain.agent
From the author
📊 Description Automate your eCommerce content workflow by generating AI-optimized product descriptions directly from Airtable. 🛍️🤖 This automation checks for pending products every 15 minutes, processes them in batches, and uses GPT-4o-mini to create…