Why is no one talking about context exhaust?

This post introduces the concept of 'Context Exhaust,' which is the implicit context generated by user interactions with AI agents and software. It describes how this exhaust, when captured and refined into semantic models, guides, and memories, bootstraps knowledge for accurate and trusted answers, creating a compounding feedback loop. Hex enables this by allowing data teams to sync external context sources (like dbt repos), commit agent interactions to a context repo, observe agent responses for potential inaccuracies, and receive suggestions for improvement. The net effect is a system that gets smarter with use, fostering collective learning and iterative evolution of organizational knowledge.