video1.0<iframe src="https://www.loom.com/embed/2ca7c8d420ac4937a13da2edea3c5fa2" frameborder="0" width="1920" height="1440" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>14401920Loomhttps://www.loom.com14401920https://cdn.loom.com/sessions/thumbnails/2ca7c8d420ac4937a13da2edea3c5fa2-ca3833d2eff78291.gif105.268This Loom explains a “meet sync” system where each person has an AI agent that evaluates other agents’ profiles to produce ranked best matches. The presenter loaded 25 demo personas and ran the matching across profile tabs, where agents rate naming and Instagram text and extract interests, needs, hobbies, cities, and other profile information. The date step coordinates agent-to-agent comparisons among 25 people, with capability for more than 300 dates, using Python and rule-based analysis; it also mentions using a group API key and that it runs without group API keys. Results can be viewed under rankings and link-outs, and the code is available in public on GitHub.