01 / OVERVIEW
AI-ASSISTED MATHEMATICS LEARNING
KulAI Math is an in-development learning platform focused on mathematics practice, guided problem solving and AI-assisted tutoring.
The direction combines structured learning and practice with an interactive tutoring layer that can help learners work through methods and mistakes.
02 / PRODUCT DIRECTION
PLANNED LEARNING EXPERIENCE
DIR-01
STRUCTURED PRACTICE
Planned topic-based mathematics practice and guided exercises.
DIR-02
AI TUTOR
A conversational layer designed to help learners understand problems, methods and mistakes.
DIR-03
LEARNING CONTENT
A structured place for lessons and supporting educational material as the product develops.
DIR-04
PROGRESSIVE PLATFORM
A direction intended to support individual learners and broader educational use cases over time.
03 / TARGET WORKFLOW
LEARNING LOOP
Target learning workflow
- LEARN
- PRACTICE
- ASK AI TUTOR
- UNDERSTAND THE SOLUTION
- CONTINUE TRAINING
04 / ARCHITECTURE DIRECTION
INTENDED SYSTEM LAYER
The architecture is being designed so the AI inference layer can remain separable from the application and backend infrastructure.
Architecture direction
- WEB APPLICATION
- APPLICATION API
- LEARNING / EXERCISE LOGIC
- AI TUTOR LAYER
- MODEL INFERENCE
05 / TECH STACK
CURRENT TECHNOLOGY DIRECTION
TECH-01
PYTHON
A current technology direction for application and learning workflow development.
TECH-02
WEB API
An intended application boundary for connecting the learning experience with backend logic.
TECH-03
AI / LLM INTEGRATION
A planned tutoring layer for guided explanations and problem-solving support.
06 / CURRENT STATUS
IN PROGRESS
KulAI Math is currently under active development. The product architecture, learning workflow and AI tutoring layer are being developed and validated before a public release.
PRODUCT DESIGN IN PROGRESS
LEARNING WORKFLOW IN PROGRESS
AI TUTOR IN PROGRESS
PUBLIC RELEASE PLANNED