aimeFUSION: intelligence placed exactly where you teach
A quiet orchestration layer now sits underneath aime, choosing the right kind of help for every task and keeping teaching going whether the Wi-Fi is up, patchy, or gone entirely.
Most AI for education lives a long way from the classroom — one big model behind an API in a distant data centre, answering every question over a connection that may or may not be there. Teachers already know what that feels like: the Wi-Fi drops, the lesson stalls, and the apology to the class comes next.
aimeFUSION is the opposite instinct. It's a quiet layer underneath the product that decides, for every task, how much intelligence is actually needed and where it should run. Some things never need a model at all. Some are best answered right there on the laptop. Some are worth reaching further for. You don't have to think about any of it.
The promise we hold ourselves to is simple: teaching continues fully offline at good-enough quality, and quality improves when the connection returns. No error screens when the link drops. No lost work when it comes back. Plans open. Lessons run. The room keeps moving.
There's a second axis to this. Different kinds of teaching work want different kinds of help — explaining a concept is not the same job as drawing a clean diagram, or checking a piece of mathematics. aime now composes the right kind of help for each part of a lesson, rather than asking one general model to do everything passably.
Nothing on screen has changed. There's no new menu, no new setting. You'll just notice that aime keeps up with you on the days school IT is having a moment — which, honestly, is the only kind of day that matters.
