AI systems generate different answers to the same question because they reconstruct meaning probabilistically; structured records introduce consistency by stabilizing how information is recognized and cited. “Why did the city issue a boil water notice yesterday?” The first time the question is asked, the answer references a water main break and cites the correct municipal utility. Minutes later, the same question produces a different response, attributing the notice to a neighboring county and describing contamination instead of infrastructure failure. Both answers are delivered with confidence. Both appear complete. Only one aligns with the actual public record. This inconsistency is not the result of missing data. It is the result of how AI systems interpret and assemble information. How AI Systems Reconstruct Meaning from Fragmented Inputs AI systems do not retrieve information as fixed records tied to stable sources.…