Too much AI product coverage simply rewrites release notes. That rarely helps a professional audience. A feature announcement is only meaningful when the publication explains what the change actually does for the user.
A useful story in this category should answer questions like: does this reduce manual work, improve quality, lower switching cost, or make the product viable for a team that previously would have ignored it?
This type of story matters because AI products are updating constantly. Without a publication layer that translates updates into practical significance, readers end up with a stream of announcements but no real guidance.