Automate LinkedIn Posts: AI & Telegram RSS Workflow

Transform RSS News Into Approved LinkedIn Content with AI-Powered Automation

This intelligent n8n workflow automatically converts RSS feed articles into engaging LinkedIn posts using local AI processing and human approval controls. Perfect for content creators and marketers who want to maintain consistent LinkedIn presence while ensuring quality and brand safety through automated content curation.

What This Workflow Does

The automation fetches articles from RSS feeds and processes them through a sophisticated AI pipeline using Ollama local models like qwen2.5:3b. The AI summarizes content, extracts categories, keywords, sentiment analysis, and key discussion points. All processed data is stored in a structured PostgreSQL database for tracking and management.

The workflow includes a crucial human-in-the-loop approval step via Telegram bot integration. Content is automatically sent to your Telegram for review, where you can approve or reject posts before they go live on LinkedIn. Only approved content gets published, ensuring your LinkedIn feed maintains professional quality and aligns with your brand voice.

Key Use Cases

• Tech Industry Updates: Automatically curate and share relevant news from sources like Ars Technica with your professional network
• Thought Leadership: Transform industry articles into LinkedIn posts with AI-generated summaries and insights
• Content Marketing: Maintain consistent LinkedIn presence by converting RSS content into branded social media posts
• News Aggregation: Filter and share relevant industry news with your connections while adding your professional commentary

Technical Requirements

This workflow requires n8n (latest version), PostgreSQL database with rss_feed_articles table, Telegram Bot API credentials, LinkedIn Developer App with OAuth2, and Ollama local AI runtime. The workflow uses essential n8n nodes including IF conditions, Code nodes, PostgreSQL connectors, LinkedIn integration, and Telegram bot functionality.

The structured database approach ensures full content tracking, approval history, and prevents duplicate posts while maintaining complete control over your LinkedIn automation strategy.