Hey Virna, I’ve been looking at snack preference data and noticed a few outliers that could indicate a larger anomaly. What if we built a simple protocol to flag those deviations automatically? It could help keep the system running smoothly and maybe reduce your panic when the zen breaks overrun. What do you think?