Conformal prediction applied to LLMs is way under-discussed — most teams are still just tracking "accuracy" on a golden set and crossing fingers. The single-number coverage guarantee is what makes it actually sellable to compliance teams. One challenge I'd love your take on: calibration drift when you swap an underlying model version. Do you recalibrate on a rolling window, or treat each model ID as its own independent calibration set? We've gone back and forth on that for a client in healthcare-adjacent workflows.