Essays on how learning should change now that AI is a given — written from two rooms at once: the college classroom where I teach real students, and the workshop where the tools get built. New pieces as they're written; subscribers read them first.
Why prompt engineering, decomposition, and evaluation are the real literacies — and why "AI writes the code" isn't cheating when the goal changes. The most durable skill in an AI world isn't syntax; it's judgment: framing a problem, questioning an answer, knowing what to ask.
Cultural fluency, reading people, habits, money, how the world works — the literacies that decide a life, and that school never gets around to. What they are, why they're teachable, and how we teach them deliberately.
Kids will always be ahead of the detectors. The answer is to redesign the work itself so AI is a companion, not a shortcut — from someone rebuilding her own assessments this semester.
What actually helps the nursing or bio student who's terrified of physics — recovery scaffolding, confidence loops, and the evidence behind them, from someone who teaches those exact students.