Most AI systems today are built for short bursts of interaction: answer a question, summarize a document, complete a task. But many of the most valuable workflows in the real world do not behave like that. They unfold over weeks or months. They require continuity, judgment, accountability, and the ability to adapt as new signals arrive.
That is where conventional AI starts to break down.
When the work is longitudinal, high-stakes, and outcome-bound, the problem is no longer generating a clever response. The problem is staying aligned to the objective over time. Autonomously.