Why a place exists in a dataset is not always why people go there.
The project is private, but I can share the general. A dataset describes a place by what it was built for: a café, a gallery, a community hall. That label becomes the place's intent, and every system that reads the data inherits it. People arrive with their own reasons, though, and what they find often differs from what the category promised. This pilot is a short journal kept over text message. Visitors write what brought them, the first thing they notice, whether it matches what they pictured, and later what surprised them and what they carried home. Set side by side, the recorded intent and the lived one show where the data's version of a place drifts from reality. Every page is anonymous and opt-in, and anyone can delete theirs at any time. This was a project done in collaboration with someone in Washington DC.