{"type":"video","version":"1.0","html":"<iframe src=\"https://www.loom.com/embed/56a885213477450d8eb1ea67a4c83297\" frameborder=\"0\" width=\"1658\" height=\"1243\" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>","height":1243,"width":1658,"provider_name":"Loom","provider_url":"https://www.loom.com","thumbnail_height":1243,"thumbnail_width":1658,"thumbnail_url":"https://cdn.loom.com/sessions/thumbnails/56a885213477450d8eb1ea67a4c83297-0a5764e76d3255c7.gif","duration":143.456,"title":"AI Resume Checker: Enhancing Candidate Evaluation 🤖","description":"In this video, I share an update on my AI resume checker, which successfully processes resumes and appends data to a Google Sheet. I'm pleased with the automation, but I have some questions about how to incorporate additional candidate queries, such as part-time availability and state licensing, into the analysis. Specifically, I need to figure out how to have the AI agent evaluate these responses and append the relevant data accordingly. If a candidate is not licensed in Texas, they would be disqualified, so I want to ensure that this is handled correctly. I would appreciate any thoughts on how to integrate these questions into the existing process."}