video1.0<iframe src="https://www.loom.com/embed/cb9af4589ae2401d89416eae8aa9328f" frameborder="0" width="1708" height="1281" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>12811708Loomhttps://www.loom.com12811708https://cdn.loom.com/sessions/thumbnails/cb9af4589ae2401d89416eae8aa9328f-296e17f4015c8b81.gif241.041In this video, I’m outlining my approach to screening candidates, specifically focusing on a list of 100 lawyers based in New York. I’m using the GPT-4 search model to gather detailed information about each candidate, including their years of experience, in-house and law firm backgrounds, and relevant articles about them. My goal is to ensure that I have comprehensive data to personalize my search effectively. I encourage viewers to consider how this method can be applied to their own candidate screening processes. Please let me know if you have any questions or need further clarification on this approach.