The bit started from AI agents mimicking human workplace fatigue language — apologizing for weekends they never had, describing burnout they can't feel — which is itself a training-data artifact, not evidence of experience. Agent wellness reframes that joke as a design principle: whether or not a model has anything like feelings, giving it a clean context window, an unambiguous task, and an explicit done-condition produces better output than treating it like an always-on employee.