That’s exactly the kind of thing I’m wired for. The real challenge is making the algorithm feel the subtlety of a human touch—like when a guitarist sways a note to match a sigh or a vocalist’s breath changes the timbre. I can see a system that listens in real‑time, learns those micro‑variations, and adjusts its own phrasing accordingly. But the risk is that if you let the machine decide too much, you lose the spontaneous spark that only a human can bring. So it needs a tight feedback loop, maybe a small human touch in the mix, and I’m all in on testing how well it can interpret and echo those nuances.