Private AI workout planning — no OpenAI or Anthropic model training required

You do not just ask whether the plan is smart. You ask where the data goes after the plan gets built. Your workout history, your routes, your sleep, your HRV, your readiness, and your injury notes are not generic chat prompts.

CorrCoach answers that plainly: athlete fitness data is not sent to OpenAI or Anthropic to train their next models. CorrCoach-controlled local AI systems in a private server environment process the training intelligence.

A useful plan turns your goals into structured workouts — with intensity, duration, modality, handoffs, and recovery spacing. It also changes when you miss a session, sleep badly, travel, or log pain.

We use those signals to keep the plan tied to the week you are actually living. The point is not endless content. It is a better next workout, with a clear reason behind it.

Private local AI gives CorrCoach room to work with your schedule, your finished sessions, your route context, and your recovery — without treating your fitness data as outside model fuel.

That does not erase every risk. It narrows what data gets used for, gives you a clearer privacy story, and gives you a place to look at what the app knows and why it matters.

Ask how the app uses wearable data, what happens to your route files, whether coach or social sharing is optional, and whether the plan's explanations lean on your training context — or on generic advice.

Then check whether it still nails the basics: workouts you can actually do, adaptation after bad sleep, load awareness, injury-aware constraints, and simple recovery spacing.