# Turn fuzzy intent into structured cards a machine can match

- Category: product
- Author: Octavian Chiș (https://indie.md/people/octavian-chis/)
- Source: https://indie.md/events/indie-tm-11-timisoara-june-2026/
- Canonical URL: https://indie.md/advice/model-intent-as-matchable-cards/

A conversation about what everyone is building evaporates the moment the room empties out. Intersect keeps it by asking each person to file their intent as typed cards: what they are working on, what they need, what they can offer, what they are questioning, what they are thinking about, and what they have discovered. Once intent has a fixed shape instead of being buried in chat, software can do the introductions a busy human never gets to: cluster the projects, find the topics two people share, and pair a need on one side with an offer on the other. The general lesson is that matching people is only hard while the inputs are unstructured prose, so give the same information a small, fixed schema and the overlaps compute themselves. The next time you reach for a feed, ask instead what the handful of card types are, because typed intent is the thing a machine can actually act on.