This n8n workflow automates the process of monitoring and managing LinkedIn content updates by integrating with Google Drive, AI language models, and email notifications. The workflow triggers when a new file is added to Google Drive, downloads the file, and uploads related images or frames to Cloudinary for hosting. It then leverages AI language models like Azure OpenAI to analyze or generate content based on the downloaded data. Finally, it sends a reminder email about the LinkedIn post, prompting further review or action.

This setup is ideal for businesses or social media managers seeking to streamline content approval, review AI-generated content, or automate reminders for social media campaigns. The use of sticky notes within the workflow helps with internal documentation or to-do annotations for each step.

Key nodes include the Google Drive trigger and download, Cloudinary image upload, Azure OpenAI’s language model for content analysis, and email nodes for notifications. This seamless integration saves time, improves content accuracy, and enhances team collaboration by automating routine tasks involving file management, AI processing, and communication.

Node Count	11 – 20 Nodes
Nodes Used	@n8n/n8n-nodes-langchain.chainLlm, @n8n/n8n-nodes-langchain.lmChatAzureOpenAi, emailSend, googleDrive, googleDriveTrigger, httpRequest, stickyNote