Why AJYX's predictions are grounded in science

AJYX makes predictions. Below is why we believe they hold up — domain by domain — and the limits we openly acknowledge.

Training volume and effort

Resistance-training volume has a dose-response relationship with muscle growth, but more work is not always better. AJYX uses completed sets, repetitions, load and reported effort as signals and keeps recommendations inside practical limits.

Training to complete failure is not required for every set. The useful choice depends on exercise, goal, fatigue and the quality of the recorded data.

Protein, energy balance and body weight

Protein intake can support gains in muscle mass and strength during resistance training. Changes in body weight still depend on energy intake and expenditure, which both vary over time.

Sleep, recovery and training load

Sleep and recovery information can add context to a training decision. They are signals rather than diagnoses, and AJYX should lower confidence when relevant data is missing.

Rapid changes in training load can increase risk, but no app can predict an individual injury with certainty.

Limits of an AJYX prediction

AJYX cannot observe unlogged food, illness, medication, life stress or every biological difference. Recommendations are estimates based on the information available and do not replace medical assessment.