Plain trackers
Log every set, get coached on none of them. The tracker remembers; the deciding is still all yours.
AI-powered workout tracker · Android
The workout tracker with an AI coach built in.
Log every set and get an answer, not just a chart. Ask the coach anything, and watch it call your plateaus and fixes as you train, each one traced to a written methodology, never generic AI guessing.
Bench press · flat barbell
Plateaued
Drop the rep range to 4–8 and overload at 8. Three flat sessions just fired your plateau window.
Illustrative numbers, but every step follows WhyRep’s written methodology, rule for rule.
The problem
Right now you get to pick your frustration.
Black-box AI apps
They adjust your program and won’t show the logic. A number you can’t check is indistinguishable from a wrong one.
Trust doesn’t come from a bigger model. It comes from a why you can read.
What you get
Three parts, working as one coach
Log your training
Exercise, load, reps, RIR. That's the whole input, no wearables required, and it's the same log the coach reads to make every call below.
AI coaching chat
Ask anything about your training and get answers in plain language, grounded in the documented methodology. When the methodology doesn’t cover a question yet, the coach says so instead of guessing.
Dynamic workout analyzer
Every logged session gets an instant verdict in effective reps (reps + RIR): progressing, flat, or regressing. Plateaus get diagnosed and fixed with program changes, not just noticed.
The mechanism
How it works
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Log your sets
Exercise, load, reps, RIR. That’s the whole input. No wearables required.
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The methodology checks your trend
Deterministic engines score every session in effective reps (reps + RIR) and check the trend against written, versioned rules, with plateau windows scaled to your experience tier. Same data in, same call out, every time.
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You get the change, with the why
Progress call, deload trigger, program fix, bulk-or-cut direction: each one cites the rule it came from.
The guarantees
Built so you can check it
Documented methodology
Every coaching rule exists in writing, versioned and reviewable, before it ships. The methodology is the coach; the app applies it.
Deterministic decisions
Your programming is never improvised by an LLM. The AI’s only job is to explain the decision and answer questions from what’s documented.
It says “not covered yet”
When your question falls outside the documented methodology, the coach tells you so instead of improvising an answer. Silence beats a confident guess.
Be first on the platform where the reasoning is the product.
Early access is Android-first and shaped by its first users. Your plateaus are the test cases.