<?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/8066917d2c9240bcb42dc4d0420494ec&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/8066917d2c9240bcb42dc4d0420494ec-61dfd6ff1869e0e7.gif</thumbnail_url><duration>554.612</duration><title>Cloud Job Search Project Setup Demo</title><description>This Loom demonstrates how Erica Prairie uses an existing job tracker workflow and an AI tool to rapidly screen LinkedIn postings and draft tailored resumes and cover letters. She shows skipping roles that are not a strong fit based on location and experience, then generating resume text from an AI enablement practitioner framework for a suitable role. Erica notes she spends about 5 to 10 minutes editing for accuracy and tone, including fixing at least one incorrect metric example where it said a 29 percent increase instead of the correct 20 point value. She also explains her project setup with four base resume versions focused on leadership development, HR tech, change strategy, and AI enablement, plus a master resume library created by combining experience and older work.</description></oembed>