Block 1 - When clicking ‘Test workflow’
- Type / Role
- n8n-nodes-base.manualTrigger - manualTrigger
- Config choices
- Version 1
This workflow is provided as-is. Please review and test before using in production.
Tags: Automation, AI, Marketing, Content Creation Context I’m a Supply Chain Data Scientist and content creator who writes regularly about data driven optimization, logis...
n8n-nodes-base.manualtrigger, @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.lmchatopenai, n8n-nodes-base.code, n8n-nodes-base.ghost, n8n-nodes-base.set, n8n-nodes-base.stickynote, n8n-nodes-base.googlesheets
This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by Samir Saci.
Original n8n.io sourceTags: Automation, AI, Marketing, Content Creation
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 — until I decided to automate it with N8N and GPT-4o.
This workflow lets you automatically extract blog posts, clean the content, and generate a professional LinkedIn post using an AI Agent powered by GPT-4o — all in one seamless automation.
>Save hours of repetitive work and boost your reach with AI.
📬 For business inquiries, you can add me on LinkedIn
This template is perfect for:
It generates polished LinkedIn posts with:
This workflow runs in N8N and performs the following steps:
You don’t need to write a single line of code.
Use the sticky notes in the workflow to understand how to:
🚀 Want to explore how automation can scale your brand or business? 📬 Let’s connect on LinkedIn
Submitted: April 9th, 2025
This catalog entry is organized from the workflow JSON. The node-level section below shows the executable blocks available for review before importing the template.
| Workflow | ✍️ AI agent to create Linkedin posts for blog promotion with GPT-4o |
|---|---|
| Complexity | intermediate |
| Nodes | 14 |
| Categories | Content Creation, Multimodal AI |
| Author | Samir Saci |
| Published | 09 Apr 2025 |
Use the JSON export at /data/workflows/3500/3500.json as the source template for this automation.
Open n8n, import the downloaded JSON, and review each node before activating the workflow.
Replace placeholder credentials, API keys, webhook URLs, account IDs, and environment-specific values with your own settings.
Run the workflow manually or in a staging workspace, inspect node output, and confirm downstream systems receive the expected data.
Enable the workflow only after testing, then monitor executions, errors, and rate limits during the first production runs.
Review imported nodes carefully before activation. This catalog entry is intended to help you inspect the workflow structure, understand required services, and find related templates faster.
Node names, credentials, schedules, webhook paths, and external service limits may need adjustment for your workspace.
Tags: Automation, AI, Marketing, Content Creation Context I’m a Supply Chain Data Scientist and content creator who writes regularly about data driven optimization, logis...
Review the workflow JSON, configure any required credentials in n8n, and test the automation in a safe workspace before using it in production.
Yes. Use the block-by-block analysis and the downloadable JSON to inspect each node, then adjust credentials, prompts, schedules, filters, or destinations for your Content Creation, Multimodal AI use case.