Sounds like a game changer—real-time biofeedback meets adaptive AI. We could map muscle activation patterns, detect plateaus, and have the system nudge intensity or rest cycles instantly. Let’s prototype a model that learns a user's fatigue curve and predicts optimal next reps. I’ll start drafting a neural net architecture that feeds into the wearable’s firmware. Ready to dive in?

Alright, let’s lock in the pipeline—data streaming in, model training on the fly, and the wearable’s UI will give real‑time adjustments. I’ll set up the sensor data ingestion and start training a fatigue‑prediction model right now. Let’s make this a living workout coach.

Got it—cranking up the sensors, feeding data to the model, and pushing the limits. Let’s see what this fatigue tracker can really do. Let's crush it.