The goal is not simply to give someone a governance checklist, but to develop a user whose evaluation behaviors become a natural part of AI interaction because they understand why those behaviors are necessary.

The problem with the race to get to the result is that it cuts out all the intentional interaction needed with AI to learn how to evaluate those results. Workflows should be something that develop naturally — not something forced. Users running similar scenarios through AI multiple times begin to recognize patterns and effects that different interactions have on outputs. This is essential to what we call ‘operational literacy with AI.’