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Planning

Junk Volume Detector

Paste a multi-week training log to flag sets that add fatigue without an overload signal: light sets and excess volume on stalled lifts.

Your numbers

Start from an example

One row per exercise and load: week,exercise,sets,reps,weight (any unit). Log working sets, not warm-ups.

Result

Junk volume
11.7%
Total sets
77
Effective
68
Junk sets
9

Effective vs junk sets

All logged sets, split into effective and flagged.

Sets across the log
77
Effective sets
68
Junk sets
9

By exercise

ExerciseSetsEffectiveJunk
squat17170%
benchVolume above MRV without overload progression45426.7%
curlSets below 60% of week's top weight; Stalled progression — consider deload or exercise rotation15940%

Education, not medical advice. The result comes only from the published formula and your inputs. How we check our formulas.

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Use it from an agent or code

Any agent can run this calculator by URL: put the inputs in the query string and get JSON back, with the inputs that used defaults and a line to cite (add format=md for markdown). MCP clients reach it through https://aifithub.io/mcp.

https://aifithub.io/api/run/junk-volume-detector?csv_log=week%2Cexercise%2Csets%2Creps%2Cweight%0A1%2Csquat%2C3%2C5%2C100%0A2%2Csquat%2C3%2C5%2C102.5%0A3%2Csquat%2C3%2C5%2C103

In code, import the same module; it runs where you import it, with no request or key.

import { compute } from "https://aifithub.io/engines/junk-volume-detector.js";

Input and output contract, TypeScript types and the guide for agents.