Why is no one talking about context exhaust?

Barry McCardel's piece discusses the concept of "Context Exhaust," a term used to describe the automatic generation of valuable context signals during everyday software usage, particularly with AI systems. He argues that while the buzz around context in AI is widespread, the ways it is built and leveraged remain unclear. Hex, the company he mentions, focuses on capturing and refining these signals into semantic models and guides, thereby creating a self-improving feedback loop that enhances data accuracy over time. This process allows for the integration of external data sources and the refinement of context through user interactions, ultimately fostering a collective learning environment within organizations. The article emphasizes that becoming "data driven" is not about isolated chart analysis but involves a collaborative, iterative, and evolutionary approach where organization-wide knowledge is continuously fed and improved by context exhaust.

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