LinkedIn Content Generation Workflow Summary Automated workflow that transforms Notion content notes into publication-ready LinkedIn posts using Claude AI. Monitors Notion database and generates multiple variations based on structured outlines, so that the author can pick the one they like most. Use Cases Automate LinkedIn content creation from content planning database. Generate multiple post variations from a single outline. Maintain consistent voice and formatting across all posts. Scale content production while preserving quality. How It Works Trigger - Monitors Notion "Content Plan" database hourly for updates. Conditional Check - Verifies "LinkedIn Post (Main)" tag and "Ready for Writing" status Main Post - Claude generates single post from project name and notes Outline Analysis - Parallel process creates 3 distinct post concepts with different angles Multi-Post Generation - Each outline becomes a complete LinkedIn post Save to Notion - All posts automatically saved to database AI Setup: Claude Sonnet 4.5 ( claude-sonnet-4-5-20250929 ) Main post: temperature 0.8 (creative) Multi-post: default temperature (consistent) How to Use Setup a content database in notion, or link your existing one: Use field mapping as outlined below or update field mapping in n8n template. Add content to Notion: Project name (topic) Notes (article content/key points) Tag: "LinkedIn Post (Main)" Status: "Ready for Writing" Workflow triggers automatically (hourly check) Retrieve posts from Notion database Review and publish to LinkedIn Requirements Credentials: Notion API (access to Content Plan database) Anthropic API key OpenAI API Key Notion Database: Connect Database Required properties: Project name (text) Notes (rich text) Tags (multi-select with "LinkedIn Post (Main)") Status (select with "Ready for Writing") Notes: Posts optimized for 1800 character limit Generates both single posts and multi-angle variations