Your training, nutrition, sleep and recovery data lives in five apps that never talk. SENTINEL FORGE is the operating system that connects them. Connect Oura, Fitbit, Eight Sleep, Suunto, Whoop, Withings, or any wearable via Apple Health or Health Connect. TALOS reads training load, fuel, recovery and stress together, then returns one daily readiness score. That score drives an adaptive plan, rewritten daily. Sleep badly and tomorrow's session changes to match, before you train instead of after.

The problem that started this: I had a sleep score in one app, a training plan in another, and macros in a third. Every one of them was confident. None of them knew about the other two. So the plan would tell me to hit a heavy squat day on four hours of sleep and have no idea anything was wrong. The scoring model has been the hard part, and it's where most of the rewrites went. The one that keeps biting is missing data: if someone forgets to log a meal, is that a zero or an unknown? Score it as a zero and you punish people for the gaps in their own tracking, which teaches them to log garbage instead of nothing. Getting that distinction right mattered more than any of the modeling. Happy to get into it in the comments - the scoring is the part I'd most like to be told I got wrong.

SENTINEL FORGE

Nutrition, biometrics, sleep - the data-driven training OS

Nutrition, biometrics, sleep - the data-driven training OS