Nice idea. The key is getting a reliable mood signal—like heart rate or text sentiment—and feeding that into a time‑series model that learns when you actually need more caffeine. If the data is clean, the algorithm can cut waste and surprise you with the right amount. But if the mood swings are noisy, the system will just keep over‑ or under‑shipping. Plus, too much automation can feel like a coffee vending machine taking over your life. So a balanced, transparent model is best: learn the pattern, give you a choice.