Transparent methodology

HOW GYMERIUM TURNS WORKOUT HISTORY INTO A NEXT STEP

Gymerium is not a generative AI coach. Its recommendations come from deterministic rules applied to the workout information you record.

This page is the canonical explanation of the recommendation system: what it reads, the outcomes it can suggest and the limits users should understand before acting on a recommendation.

INPUTS GYMERIUM USES

Gymerium uses the sets, repetitions and weights recorded for an exercise, together with the recent performance history available in your workout log. The recommendation depends on what you enter. Missing or inaccurate logs can produce a suggestion that does not reflect what actually happened.

The system evaluates exercises individually. Progress on one movement does not automatically mean that another exercise is ready for a load increase.

READY TO PROGRESS

When recorded performance reaches the conditions defined by the applicable progression rule, Gymerium can recommend increasing the load for a future session. For a rep-range approach, that may follow repeated performance near the top of the selected range rather than one unusually strong set.

HOLD STEADY

More weight is not always the next step. When the logged performance supports building another repetition at the current load, Gymerium can recommend holding steady. This keeps the recommendation tied to recent evidence instead of forcing a weight increase after every workout.

SHORT STALL

Repeated sessions without the expected progression can indicate a short stall in the recorded data. Depending on the active rule, Gymerium may recommend holding the current load rather than increasing it. A stall label describes a pattern in the log; it is not a diagnosis of fatigue, overtraining or a health condition.

DELOAD OR TEMPORARY REDUCTION

Where its rules support that outcome, Gymerium can suggest temporarily reducing training demands. This is a workout-planning recommendation based on recorded performance. It does not assess pain, injury status, sleep, nutrition or medical readiness.

RECOVERY AFTER TIME AWAY

After a recorded break from training, recovery mode can temporarily reduce suggested loads and progressively build them back toward previous levels. The purpose is to avoid treating the first session back as though no time has passed.

Recovery mode is not an injury-rehabilitation system. Anyone returning after injury, illness or surgery should follow appropriate professional medical guidance rather than relying on an app recommendation.

WHAT THE SYSTEM CANNOT KNOW

WHY RULE-BASED RECOMMENDATIONS

Rule-based recommendations can be explained. Gymerium can show the recorded performance behind a recommendation instead of presenting an unexplained answer from a chatbot. That makes the result easier to review, question and override.

Try Gymerium on Google Play