QUANTUM-TUTOR SYSTEM ARCHITECTURE

Calibrated IB Pedagogical Intelligence Engine

HOSTHATCH VPS (PHYSICAL BOUNDARY) STACK: STOCKS-QUANT (HIGH PRIORITY) TRADER MINER STACK: QUANTUM-TUTOR (CAPPED 0.1 CPU) TUTOR CONTAINER Isolated Bridge Net SHARED POSTGRES (Logical Isolation: tutor_schema)

COST AGGRESSION

Uses local JSON banks for 90% of requests. AI is only invoked for complex logical evaluation, minimizing API tokens.

CALIBRATION

The 'Mastery Gradient' ensures problems scale in complexity (1-7) based on real student performance data.

SOCRATIC LOOP

Focuses on 'Process over Answer'. Evaluates explainability rather than just final numeric values.