You log weight, reps, and RIR. Calyber compares what you logged to how the set should have progressed — and recalibrates next session's prescription. No black box. Verifiable output.
Training by feel introduces systematic error. Here is how much.
Across a mesocycle, this compounds into 10–20% unintended volume — accelerating fatigue accumulation and degrading the training stimulus before the final week.
You can trace any prescribed weight back to the e1RM, fatigue score, and RIR bias used to compute it. No black box.
Sets land between MEV and MRV by adjusting load and rep targets each session — not by waiting for a planned reset.
Fatigue model is calibrated from your logged sets, not a static template. Deload triggers on the curve you produced, not a calendar.
Features we deliberately excluded:
If you want encouragement, this is not your tool. If you want to reduce estimation error, keep reading.