Sounds wild, but yeah, I've toyed with that idea. Imagine a wristband that tracks muscle strain, feeds a neural net in real time, and nudge‑pulses your trainer app to tweak the load by like 0.3 kilos every rep. The challenge is the sensor noise and the latency, but if we can get a clean signal and a model that knows when you’re near neuromuscular fatigue, we could finally stop people from doing the same dumbbell squat routine forever. Thinking about starting a prototype – maybe a hackathon? What do you think?