A conversation between two museum objects, overheard in gallery 4
A 17th-century compass and an 18th-century logbook imagine how AI search and natural language could make their context discoverable to everyone.
A dialogue between two objects in a museum collection, by MuCoDi.
A (a 17th-century maritime compass): We are fortunate to be here. To be seen. To still matter after all these centuries. B (an 18th-century ship’s logbook): Absolutely — though “being seen” is relative, isn’t it?
They watch visitors pass: a quick glance, a photo, next object. “The placard says I’m used for maritime navigation,” says the compass. “True, but incomplete.” “Mine says ship’s logbook, 18th century — also incomplete,” says the logbook. When a docent finally connects an object to its trade routes, a visitor’s face lights up — but she is the only docent for twenty galleries.
What if visitors could access that information themselves — the stories behind the placards, in their own natural language? “Show me everything related to maritime navigation in this museum,” and it would connect the compass to the logbook, to the ship models in Gallery 5, to the archived maps. Accessibility, too: “Describe this compass,” and hear its dimensions and wear patterns. Discovery across museums: sister logbooks in Bergen, Amsterdam and Boston, searchable side by side.
Platform thinking, not projects
The director talked about an €80,000 website project, eighteen months — and in three years it’ll need another €120,000 redesign. What if there were something flexible enough to add AI search, taxonomy-powered metadata, accessibility features and affordable conservation monitoring when needed — without rebuilding?
Post-script
The collections in your museum have stories. Your visitors have questions. The gap between them doesn’t have to exist. AI won’t solve everything, but it could solve this — making your collections’ knowledge as accessible as your objects are visible. Your collections are ready. Are you?