School
Institutional visibility, hierarchy and operational oversight.
AI product build
Designing an adaptive learning system from first principles.
Learnitale is a working product build connecting curriculum, learner state, adaptive progression and the different people responsible for a learner’s progress.
01 · Product question
Most digital learning products deliver content. Learnitale was designed around a different question: how should a system respond when two learners understand the same topic differently?
The product treats learning as a changing state—not a content queue—using mastery, misconceptions, adaptive progression and review timing to shape what happens next while making progress visible to the right stakeholders.
02 · Learning system
A coherent architecture in which curriculum becomes a learner-specific journey, and every activity produces a signal for what should follow.
03 · AI architecture
Learnitale uses AI selectively rather than indiscriminately. Content generation, tutoring and adaptive support are designed around caching, pre-generation and lower-cost inference so that AI improves the learning experience without destroying unit economics.
04 · Role-based experience
Institutional visibility, hierarchy and operational oversight.
Class and learner performance.
Learning, quests, progression and tutor support.
Progress and learning visibility.
05 · Technical architecture
06 · Professional evidence
Learnitale makes the connection between systems leadership and hands-on product delivery explicit.
Turning an ambiguous problem into a coherent system.
Using generative AI selectively within a real product architecture.
Moving from concept through UX, implementation, testing and deployment.
Designing around cost, scalability and contribution margin.
Modelling students, teachers, parents and institutions within one product.
Turning domain feedback into product changes rapidly.
Explore the working product.
View live product demo