Methodology
Three steps to mastery
Understand
AI explains the topic through Feynman-style dialogue — guiding questions, comprehension checks. Only when ready does the student move to practice.
Practice
10 exercise formats adapt to your level. Difficulty grows with you, keeping you in the zone of optimal challenge.
Retain
SM-2 schedules reviews at the exact moment you're about to forget. The forgetting curve works for you, not against you.
Adaptivity
Every task is created just for you
The system knows what you studied, when, and how confidently you answered. This determines the next topic, format, and difficulty.
Try itSpaced Repetition
SM-2 calculates the optimal review moment for each topic
Adaptive Difficulty
easy → medium → hard as mastery score grows
Knowledge Graph
Prerequisites unlock automatically as you progress
Pre-assessment
Already know it? One question — straight to practice
Scientific foundation
Learn more →Spaced Repetition
SM-2 by Wozniak (1990). Ebbinghaus forgetting curve drives scheduling.
Feynman Method
Chi et al. (1994). Explaining in your own words yields up to 90% retention.
Interleaving
Rohrer & Taylor (2007). Mixed topics consolidate better than blocked practice.
Pre-assessment
Roediger & Karpicke (2006). Testing beats re-reading for long-term memory.
Adaptive Difficulty
Csikszentmihalyi (1990). Flow theory — optimal challenge zone.
Knowledge Graph
Ausubel (1968). New knowledge builds on a well-laid foundation.