AI-Powered Content Workflow with Human Review and Versioning

This n8n workflow orchestrates an advanced AI-driven content generation, review, and publication process tailored for a handbook or knowledge base. It begins with a webhook trigger that activates the workflow, followed by a database connection check to ensure operational readiness. A meta-orchestrator, powered by GPT-4, creates a detailed plan of AI agents to execute, including summarization, synthesis, peer review, sensemaking, and onboarding agents. These agents collaboratively generate content, which is then subject to a human review process via email notifications with approval or rejection links. Approved content is stored in a PostgreSQL database and optionally uploaded to GitHub, supporting version control with timestamped file paths. The workflow supports multiple review loops, allowing iterative improvements based on feedback, and concludes with final notifications via Slack. This comprehensive automation streamlines content creation, review, and deployment, making it ideal for managing dynamic knowledge repositories, training materials, or documentation that require human oversight.