Hey, I’ve been wondering if we can actually use machine learning to predict the optimal rep scheme for each set based on live heart‑rate and movement data—sort of a real‑time coach. What’s your take on turning that into a code‑driven workout app?

Sounds slick, but remember the data’s noise—gyros can glitch and HR can lag. If we keep the model light and give users a clear “skip” flag, we can avoid over‑reacting. Maybe start with a few rep‑scenarios, test on a small cohort, then scale up. Keep the UI simple, the code clean, and let the model learn over time—no need to throw every algorithm in there from the get‑go.