How do you handle coverage guarantees from split conformal prediction when the data shifts? [D]

Split conformal prediction gives you a clean statement: with a calibration set exchangeable with future data, your prediction sets cover the true label at the rate you chose. The trouble is that production data rarely stays exchangeable.