GUIDES

Clear answers. Useful limits.

Direct, sourced guides to progressive overload, training volume, workout splits and connecting structured workout data to AI.

Progressive overload: make one demand harder on purpose.

A practical guide to progressing load, repetitions, sets and execution without forcing a personal record in every workout.

Learn what repetitions in reserve means, how RIR maps to set effort and why estimates improve with practice.

Use the repetitions-in-reserve RPE scale to record set difficulty and keep load decisions in context.

Understand hard sets, tonnage and weekly muscle volume without collapsing every training signal into one number.

A practical way to choose weekly set volume using training age, exercise selection, effort and recovery instead of one universal number.

What compound lifts are, where they fit and why a programme still needs exercise-specific purpose and constraints.

Compare common workout splits by schedule, frequency and session shape, then choose the structure you can train consistently.

Learn how a fitness MCP server lets a compatible AI client discover permitted workout-data tools without copying an athlete's entire account.

A practical checklist for connecting structured workout data to an AI client while keeping Health outside the current external surface.

Compare a generic ChatGPT workout plan with a training plan grounded in an athlete's schedule, constraints and completed workout data.