Ideas, perspectives, and lessons learned.
Notes from the people building CleverCreator — on AI, education, design, engineering, and where we think this is all headed.
Why "mastery tracking" beats right-or-wrong scoring in AI tutoring
Marking an answer right or wrong tells you almost nothing about what a student actually understands. Here's how TutorMate's mastery engine — and the research behind it — does better.
Building Forge: what we learned shipping an AI-native code editor
Forge went from a rough internal prototype to a full AI app-building experience in a matter of months. Our engineering lead shares the architectural bets that paid off — and the ones that didn't.
Designing for clarity when your product does almost anything
AI products have a unique design problem: the more capable they are, the easier it is to overwhelm the people using them. Here's how we think about clarity as a design constraint, not an afterthought.
The multi-model era is here — and most products aren't ready for it
No single AI model is best at everything, and the gap between specialists is widening, not narrowing. We think that changes how AI products should be built — and most haven't caught up yet.
How we think about AI safety when the user is twelve years old
Building an AI tutor for kids means a different set of constraints than building one for adults. Here's how TutorMate's safety architecture works — and why we think it should be the industry default.
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