Built on research.
Proven in practice.
Alavita's AI doesn't guess. Every recommendation is grounded in peer-reviewed exercise science, nutrition research, and behavioral psychology.
Periodization & Progressive Overload
The single most evidence-backed driver of strength and muscle gain. Alavita structures your training in progressive blocks — building volume, adjusting intensity, and programming strategic deload weeks before your body forces them.
- ✓ Weekly undulating periodization (WUP) for trained users
- ✓ Linear progression for beginners — the most efficient path forward
- ✓ Autoregulated deload timing based on accumulated fatigue signals
- ✓ Volume landmarks (MEV, MAV, MRV) from sports science research
References: Schoenfeld et al., 2017 · Israetel et al., 2019
Energy Balance & Protein Targets
Fat loss, muscle gain, and body recomposition are governed by two variables above all else: calorie balance and protein intake. Alavita sets targets based on your goal, training volume, and daily check-in — and adjusts macros between training and rest days automatically.
- ✓ Protein targets: 0.7–1g/lb of bodyweight, scaled to goal
- ✓ Caloric surplus/deficit calibrated to sustainable rate of change
- ✓ Higher carb allocation on training days; higher fat on rest days
- ✓ Nutrition targets updated daily — not a static weekly average
References: Morton et al., 2018 · Helms et al., 2014
Recovery & Readiness Science
Overtraining doesn't come from training too much — it comes from recovering too little. Alavita monitors the four biggest recovery signals (sleep, stress, soreness, and energy) to estimate your daily readiness and adjust training load accordingly.
- ✓ Sleep quality is the #1 predictor of next-day performance and mood
- ✓ Psychological stress (work, life) reduces physical recovery capacity
- ✓ Soreness-based muscle group targeting prevents compounded fatigue
- ✓ HRV correlation: low readiness = lower volume and intensity ceiling
References: Kellmann et al., 2018 · Meeusen et al., 2013
Behavioral Design & Adherence
The best program is the one you actually follow. Alavita is built around the proven psychology of habit formation — reducing friction, building identity, and making consistency the path of least resistance.
- ✓ 30-second check-ins: minimum viable action to trigger the habit loop
- ✓ Identity-based framing: "I train because I'm a person who trains"
- ✓ Variable reward: novel AI-generated plans avoid monotony fatigue
- ✓ Loss aversion design: streaks and recovery signals increase retention
References: Clear, 2018 · Fogg, 2019 · Bandura, 1997
Science in your pocket.
Alavita applies these principles automatically, every day, without you needing to think about them.