Why machine-readable attribution, timestamps, and jurisdiction signals break down when AI systems interpret traditional municipal publishing systems. A resident asks an AI system why evacuation guidance changed overnight for a coastal county. The response confidently attributes the update to the county sheriff’s office, cites language pulled from an older emergency management bulletin, and combines flood-zone instructions from a neighboring jurisdiction. The answer appears complete and authoritative, yet multiple parts of it are wrong. The sheriff never issued the statement, the referenced guidance was outdated, and the evacuation zones belonged to a different county entirely. Failures like this increasingly emerge when artificial intelligence systems attempt to interpret municipal information that was never structured for machine-level attribution. City and county websites were designed for human navigation. AI systems do not consume these environments the same way humans do.…