<?xml version="1.0" encoding="UTF-8"?><oembed><type>video</type><version>1.0</version><html>&lt;iframe src=&quot;https://www.loom.com/embed/2b0115615eb24d7389bc6a8d1f692170&quot; frameborder=&quot;0&quot; width=&quot;1920&quot; height=&quot;1440&quot; webkitallowfullscreen mozallowfullscreen allowfullscreen&gt;&lt;/iframe&gt;</html><height>1440</height><width>1920</width><provider_name>Loom</provider_name><provider_url>https://www.loom.com</provider_url><thumbnail_height>1440</thumbnail_height><thumbnail_width>1920</thumbnail_width><thumbnail_url>https://cdn.loom.com/sessions/thumbnails/2b0115615eb24d7389bc6a8d1f692170-f58bb692a17c5e86.gif</thumbnail_url><duration>198.598</duration><title>Evaluating Resumes with AI Insights</title><description>In this video, I walk you through how Kingsley evaluates resumes using a custom-trained AI model that assigns star ratings based on job descriptions and internal criteria. I emphasize the importance of defining what a great candidate looks like by reflecting on past hires and creating a performance-based internal job description. I also outline the steps for using Kingsley effectively, including how to refine prompts and review AI-generated ratings. As a reminder, while Kingsley provides valuable insights, it’s crucial to verify the AI&apos;s reasoning, especially for significant decisions. I encourage you to continue rating candidates manually to help improve Kingsley’s performance over time.</description></oembed>