Workflow stories are where an AI publication can become genuinely useful. A lot of coverage shows what a tool can do, but stops before telling the reader what to test or implement next.
A stronger workflow article should finish with a practical next step. That might be a setup suggestion, a small experiment, a task to automate, or a warning about where the workflow breaks down. The point is to leave the reader with something they can act on.
This matters because professional audiences reward utility. If Another Day in AI becomes known for turning vague AI enthusiasm into actionable workflow guidance, it will be far more valuable than a publication that only amplifies demos.