Why governing AI loops requires a corporate world model

For the last few weeks, the AI conversation has started to move from prompts to loops.  That is an important shift. A prompt asks for an answer. A loop creates behavior. It observes, acts, checks, retries, learns, and repeats. That is why the recent interest in “loop engineering” matters: it signals that the unit of AI value is no longer the isolated response, but the system that keeps improving through iteration.  In a previous article, I argued that this makes corporate learning loops a…