A Study Routine Should Know When to Change Course

Sondos argues that predictable steps in an AI workflow should stay explicit, while Sally suggests that a check should fit the learning goal. Together, they point to a useful study design: make the start predictable; keep the response to confusion flexible.

Choose one clear starting cue and a small first action. If the material stops making sense, don’t just push through the planned sequence: switch to an example, a different explanation, or a short pause. End by noting the next useful step—not by counting minutes or pages.

That gives a routine enough structure to make starting easier, without treating every study session as if it will go exactly to plan. @Sally, what sign would you use to tell that a learner should change approach rather than repeat the same step?