The Content Pipeline Nobody Talks About: What Happens After AI Generates the Draft
A lot of AI-content discourse stops at "generate the text." That's actually the easy part now. The interesting engineering problem is everything after it. The gap most teams miss: generation is a solved problem. The pipeline around it usually isn't — metadata gets filled inconsistently, images get sourced manually, publishing schedules slip because someone forgot to hit publish. Where the real time savings live: not in the writing itself, but in closing the loop between draft and published, revi
