What an AI Publishing Pipeline Learns When Image Generation and Editorial QA Run on Different Clocks: Practical Notes for Builders

This article explores the challenges in AI publishing pipelines, highlighting that problems arise in ensuring editorial QA, preserving source truth, and handling platform-specific variants, rather than just draft generation speed. It emphasizes that system design is crucial to guarantee the final content matches the original intent, even when image generation and editorial QA run on different clocks.