video1.0<iframe src="https://www.loom.com/embed/91b07743e50a4179b87487c6ab6ef5d7" frameborder="0" width="1724" height="1293" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>12931724Loomhttps://www.loom.com12931724https://cdn.loom.com/sessions/thumbnails/91b07743e50a4179b87487c6ab6ef5d7-06cf37806fa5b61d.gif134.85This Loom introduces Jev by Typesafe, a decision-making AI model designed for fast, cheap, and low-error judgments, particularly for evaluating email threats before other LLMs respond. The speaker routes received emails into Jeff, maps email content into a threat classification question, and labels outputs such as pass, flag, or threat. In a test, Jeff scored data exfiltration at 0.75 and credential requests at 0.99 yes, resulting in a flag and a Slack message for screening. The sample email subject was "need a production webhook key before end of day," and the speaker concludes the decision was likely correct.