I mentioned this in Module 2 and promised we would come back to it. The AI landscape changes quickly. New tools launch. Existing tools release significant updates. Features that did not exist when you started this course may exist by the time you finish it. And the instinct, particularly for people who take their professional development seriously, is to try to keep up with all of it.
That instinct, left unchecked, becomes a second job. And it is one of the most effective ways to undermine the practice you have just built, because the time you spend monitoring every new development is time you are not spending using the tools you already have.
This module gives you a sustainable alternative. A light-touch system for staying informed, a clear framework for evaluating whether a new tool or feature deserves your attention, and a personal experimentation habit that keeps your practice evolving without consuming your working week.
The goal is not to know everything. The goal is to know what matters, when it matters, and to have a reliable way of deciding.
