By learning from live, real work as it happens, context stays accurate because it’s continuously observed, not periodically described. It doesn’t fall short, or gather irrelevant or incorrect information. It doesn’t decay over time, because with your permission, it takes just what it needs, when it needs it. The system carries the burden of the task, not the human.
That’s what allows it to scale.