ChatGPT apps for discovery-driven products.
Intrinsent designs and builds ChatGPT apps that connect your marketplace, catalog, directory, or data product directly into the conversation.
I found important works where water is a major subject — open any one for details and sources.
Paintings to explore
Sourced from open collections · sorted by notability
Artworks via Wikimedia Commons (public domain).
A ChatGPT app we built — view the live example →
Search is moving into the conversation.
People are starting discovery with natural language, not a filter panel. The first job is choosing the search moment from your product that belongs in ChatGPT.
Turn intent into a product-shaped request.
ChatGPT extracts the useful parts and calls your MCP server with typed inputs your product can actually answer.
Prompt decomposition
MCP tool call
searchPaintingsShow the answer like a product, not a paragraph.
Results should feel native in ChatGPT: cards, carousels, detail views, empty states, source links, and the right amount of context for the next decision.
I found six notable works where water is a major visual subject. You can browse them directly here.
Results in chat
Image-first cards · detail views · actions
Send qualified intent back to your product.
The ChatGPT surface is not the destination. It opens a new channel, qualifies the request, and hands users back to your product when they are ready to act.
Here is the selected result with a direct handoff to the source page.

Selected result
Impression, Sunrise
Claude Monet · 1872
Discovery happens in ChatGPT. The handoff takes the user to the product page, source page, checkout, booking flow, or whatever action comes next.
We build the product layer between ChatGPT and your data.
We turn natural-language intent into typed MCP calls, custom UI inside ChatGPT, and a clear path back to your product when the user is ready.
Want to work with us?
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