Major improvements to the AI Coach’s context injection system, significantly enhancing recommendation accuracy without requiring additional user data input.
STATUS [v0.9.1]
Program Mode Improvements
- Push/Pull/Legs Balance Analysis: Program mode now receives real-time training pattern distribution (e.g., “Push 65%, Pull 20%, Legs 15%”)
- Evidence-Based Split Recommendations: AI can now identify imbalances (>60% threshold) and suggest specific rotation or frequency adjustments
Impact: Transforms generic program advice into personalized split optimization
Nutrition Mode Improvements
Phase-Aware Fueling Context: Nutrition mode now receives current training phase (Strength/Hypertrophy/Endurance)
Metabolic Demand Alignment: Recommendations now adapt to phase-specific needs:
- Strength Phase (<7 reps): CNS-focused, neural readiness priority
- Hypertrophy Phase (7-12 reps): Protein synthesis optimization
- Endurance Phase (>12 reps): Glycogen depletion management
- Impact: Generic nutrition tips become phase-specific fueling strategies
Plateau Mode Improvements
Systemic Pattern Analysis: Plateau mode now analyzes:
- Exercise frequency in recent history (e.g., “Frequency: 5x in recent history”)
- Push/Pull/Legs pattern context (e.g., “Pattern: push (65% of volume)”)
- Training phase focus during plateau
Root Cause Differentiation: AI can now distinguish between:
- Overuse plateaus: High frequency training
- Pattern imbalance plateaus: Disproportionate volume in one movement pattern
- Phase transition plateaus: Stagnation during rep range shifts
- Isolated stagnation: Exercise-specific adaptation issues
Impact: Plateau interventions become contextual and systemic rather than isolated