This feels somehow like a straw, but reflecting on it briefly it also feels like a hole in my explanation, and maybe that I’m just wrong here.
Maybe a different story I could tell would be that it’s more like “if you want, you can join us in trying to do something really hard, which has power law returns, knowing that the modal outcome is burnout and some psychological damage”, so comparable to competitive bodybuilding, or maybe classical musical training, or doing a startup. (Edit: note, Maple doesn’t include the “modal outcome is moderate psychological damage” part, though neither do the examples really.)
You would likely be interested in HSRS (Hierarchical SRS). (Not my project but I know the author.) The tl;dr it’s a framework for a. representing hierarchical knowledge dependencies, including grammatical structures, b. “sampling” from points in the tree, where deps are often a class of objects, c. sequencing such samples so that material is introduced only when its deps are satisfied, and d. inferring which parts of the dep tree were likely most responsible for recollection failures and updating their review state accordingly.
My bet would be that you could probably get claude code to write most of the deck basically from where you son is up to ~late elementary school, and from there you have escape velocity. I’d be very curious if you do something like this, I suspect that early literacy edtech is heavily underoptimized etc.