AI product build

Learnitale

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

The problem

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

What I built

A coherent architecture in which curriculum becomes a learner-specific journey, and every activity produces a signal for what should follow.

Starting pointLearner
01CurriculumAligned journeys
02Adaptive engineDifficulty + misconceptions
03ActivitiesMissions + gamification
04MasteryObjective state
05ReviewSpaced timing
Shared system viewTeacher · Parent · SchoolProgress, communication and institutional hierarchy

03 · AI architecture

AI where it adds leverage.

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.

Curriculum model
Content generation
Caching / pre-generation
Adaptive learner state
Tutor intervention

04 · Role-based experience

One learning system. Four perspectives.

01

School

Institutional visibility, hierarchy and operational oversight.

02

Teacher

Class and learner performance.

03

Student

Learning, quests, progression and tutor support.

04

Parent

Progress and learning visibility.

05 · Technical architecture

Built as a working system.

Experience layer

React application

Learning engine

Objective mastery, adaptive difficulty, misconceptions, spaced review

AI layer

Generated content, tutoring, contextual support

Persistence

Lightweight state architecture

Deployment

Google Cloud

Product modes

Family environment + institutional school demo

06 · Professional evidence

What this build demonstrates

Learnitale makes the connection between systems leadership and hands-on product delivery explicit.

01

Product architecture

Turning an ambiguous problem into a coherent system.

02

AI implementation

Using generative AI selectively within a real product architecture.

03

Full-stack execution

Moving from concept through UX, implementation, testing and deployment.

04

Commercial thinking

Designing around cost, scalability and contribution margin.

05

Human-system design

Modelling students, teachers, parents and institutions within one product.

06

Iterative delivery

Turning domain feedback into product changes rapidly.

Explore the working product.

View live product demo