video1.0<iframe src="https://www.loom.com/embed/2fa0728d3ed84880acf34f2dc7723f34" frameborder="0" width="1108" height="831" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>8311108Loomhttps://www.loom.com8311108https://cdn.loom.com/sessions/thumbnails/2fa0728d3ed84880acf34f2dc7723f34-815fa59c08bf4db7.gif295.02This Loom explains how to automatically optimize a CV to pass ATS filters using an agent-based solution. The speaker notes that HR systems often reject applications almost instantly and many interns do little or no CV optimization. The workflow takes a CV and a pasted job description, then iteratively optimizes keywords while running validation checks for issues like hallucinations, with up to several attempts until an optimized PDF is produced. In the demo, the process produced a tailored machine learning engineer CV in 11 minutes, after multiple failed validation attempts, and the output added sections such as a summary and customized experience, education, and skills.