Ailin Werner

Multi-agent LinkedIn content creation with GPT-4o, Google Sheets, and human review

Description: This is a Production-Grade Multi-Agent Content Engine designed for creators who prioritize technical authority over generic AI output. Unlike standard "one-shot" prompts, this system uses a Chain-of-Thought (CoT) architecture to separate logical blueprinting from creative writing. It features a Persistent Memory loop via Google Sheets to ensure topic variety and a dedicated Compliance Editor to enforce strict branding rules (e.g., "Sentence Case" and spaced hyphens). Built with enterprise resiliency in mind, it includes Global Error Handling and a Human-in-the-Loop Gmail approval gate with a 48-hour auto-timeout. I built this to solve the 'Technical Content' bottleneck. It ensures that my social presence reflects the same high-quality engineering standards I apply to my client's n8n workflows. Key features: Persistent Topic Memory: Automatically scans your Google Sheets history to prevent repeating technical topics. Multi-Agent Pipeline: Specialized agents for Topic Selection, Structural Architecture, Copywriting, and Brand Compliance. Style Enforcement: A final "Editor" agent that strips AI fluff and ensures a professional, human-sounding tone. Resilient Design: Features a global Error Trigger for instant failure notifications and an Approval Timeout to maintain system resources. Human-in-the-Loop: Sends a clean draft to Gmail for manual image pairing and final review before posting. How to setup Google Sheets: Prepare a sheet with columns for Topic, Status, and Difficulty. Credentials: Connect your OpenAI (or Gemini) and Gmail accounts. IDs: Replace the placeholder Sheet ID and Recipient Email address in the nodes. Error Handling: Point the Error Trigger notification to your preferred email or Slack channel.

By Ailin Werner

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