AI systems interpret content designed for people, not machines—creating gaps that only structured records can resolve “Why is AI saying the city lifted the boil water notice when the advisory is still active?” The response appears confident, citing what looks like an official source. But the statement is wrong. The notice referenced was from two days prior, issued by a neighboring jurisdiction with a similar department name, embedded in a PDF that also included unrelated updates. The AI has merged fragments, assigned them incorrectly, and presented a conclusion that appears authoritative but is materially false. This type of failure does not originate from a lack of information. It emerges from how that information is structured before AI encounters it. How AI Systems Separate Content from Source AI systems do not read information the way humans do. They do not follow page layouts, visual hierarchy, or implied context.…