Why Output Consistency Beats “Creativity”

The quiet problem in AI features When teams first add AI to a product, the goal is usually the same. Make it impressive. Generate better text. Produce interesting results. Show that the system can do something that wasn’t possible before. In s, this works well. A creative output feels like intelligence. Variation feels like capability. The system looks flexible and responsive. People are surprised by what it can do. But once the same feature moves into real workflows, the evaluation changes.