✍️ AI agent to create Linkedin posts for blog promotion with GPT-4o
Needs changesWhat this workflow does
This AI workflow has 10 nodes and runs manually, when you click “Execute workflow”. Along the way it connects OpenAI Chat Model, Ghost and Google Sheets.
How it runs
Trigger: Manually, when you click “Execute workflow”.
- Extract Blog Posts (Ghost): get many
- Extract Post Content (Edit Fields (Set)): sets 6 fields: id, title, featured_image…
- Loop Over Posts (Loop Over Items (Split in Batches)): loops over the items in batches
- Clean HTML (Code): runs custom JavaScript code
- Add Clean HTML (Merge): merges the data from its input branches
- AI Agent: runs an AI agent, with model: OpenAI Chat Model
- Merge: merges the data from its input branches
- Record the posts (Google Sheets): append
Services it uses
Before you upgrade to n8n 3.0
1 thing in this workflow is removed in n8n 3.0. Fix it before you upgrade:
- AI Agent v1 (old agent modes) in AI Agent (v1.8): replace with Latest AI Agent node (Tools Agent). For SQL Agent, use a Postgres or MySQL tool with a recent AI Agent.
Rather not rewrite it? Many of these flows can be rebuilt in Make (free plan).
| Removed in 3.0 | Replace with |
|---|---|
| AI Agent v1 (old agent modes) AI Agent (v1.8) | Latest AI Agent node (Tools Agent). For SQL Agent, use a Postgres or MySQL tool with a recent AI Agent. |
Nodes used (9)
- Manual Trigger
n8n-nodes-base.manualTrigger - AI Agent
@n8n/n8n-nodes-langchain.agent - OpenAI Chat Model
@n8n/n8n-nodes-langchain.lmChatOpenAi - Code
n8n-nodes-base.code - Ghost
n8n-nodes-base.ghost - Edit Fields (Set)
n8n-nodes-base.set - Google Sheets
n8n-nodes-base.googleSheets - Merge
n8n-nodes-base.merge - Loop Over Items (Split in Batches)
n8n-nodes-base.splitInBatches
From the author
Tags: Automation, AI, Marketing, Content Creation Context I’m a Supply Chain Data Scientist and content creator who writes regularly about data-driven optimization, logistics, and sustainability. Promoting blog articles on LinkedIn used to be a manual task —…