Section, the school spun out of Greg Shove's work and associated with the Prof G orbit, made a clear-eyed decision that sets it apart from most AI education, which is to ignore how AI works almost entirely and obsess over how to use it well at work. For the enormous population of professionals who are never going to train a model and do not need to, that focus is exactly right, and Section delivers it with unusual discipline. The teaching comes in short sprints that respect the fact that its audience has a demanding day job, the examples are grounded in real workplace tasks like writing, analysis, and decision support, and crucially the material stays current with tools that change every few months rather than freezing into outdated theory. I rate it most highly for teams and managers, because raising the AI fluency of a whole department is a genuinely hard problem and Section's structured, practical approach is one of the better answers I have seen to it.
The trade-offs follow directly from the philosophy. There is essentially no technical or coding content, so anyone who wants to understand or build the underlying systems is in the wrong place and should not be surprised. The model is an ongoing membership, which means it keeps charging whether or not you are still showing up, and like any subscription it rewards the disciplined and quietly taxes the forgetful. Because it prioritises breadth and immediacy, more advanced AI users will find chunks of it too introductory, and there is a natural falloff in value once you have absorbed the core habits and started applying them on your own.
My honest recommendation is to treat Section as an intensive few months rather than a permanent subscription. Lean into it hard while the practical frameworks are new to you, get your team through it if you manage one, and then cancel without guilt once using AI at work has become second nature, because that is the point at which it has already given you most of what it has to offer.