{"type":"video","version":"1.0","html":"<iframe src=\"https://www.loom.com/embed/2b0115615eb24d7389bc6a8d1f692170\" frameborder=\"0\" width=\"1920\" height=\"1440\" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>","height":1440,"width":1920,"provider_name":"Loom","provider_url":"https://www.loom.com","thumbnail_height":1440,"thumbnail_width":1920,"thumbnail_url":"https://cdn.loom.com/sessions/thumbnails/2b0115615eb24d7389bc6a8d1f692170-f58bb692a17c5e86.gif","duration":198.598,"title":"Evaluating Resumes with AI Insights","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's reasoning, especially for significant decisions. I encourage you to continue rating candidates manually to help improve Kingsley’s performance over time."}