video1.0<iframe src="https://www.loom.com/embed/9a82f4e853d74adcad0d866e1ee7f116" frameborder="0" width="1920" height="1440" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>14401920Loomhttps://www.loom.com14401920https://cdn.loom.com/sessions/thumbnails/9a82f4e853d74adcad0d866e1ee7f116-0f4d6a8e154e0d36.gif269.953This Loom demonstrates how the platform works for recording and matching student and mentor stories, including organization-level analytics and safety review. It explains that users can record a course or story, submit it for transcription, safety checking, emotion understanding, and matching to a similar story, with a demo example noting a 53% fit and themes such as belonging and adjusting to a new school. On the mentor side, users can review their matched story in depth, including primary emotion, themes, and a readable transcript. For university or college administrators, the Loom describes a dashboard showing top emotions in the last 30 days, top 10 themes, engagement metrics, theme spikes, and sentiment trends, plus a safety queue where borderline harmful statements can be reviewed and marked for true or false positives, including an example where an automatic discard occurred.