When an always-on agent stalls or runs up a surprising bill, the instinct is to reach for a bigger, smarter model. But most agent work isn’t frontier reasoning. Always-on agents complete complex, multi-step tasks by gathering context, observing their environment, reasoning over what they know, and acting and every