<?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/792c52a5455748cf88958afeba1dfea9&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/792c52a5455748cf88958afeba1dfea9-d1cf83f852ed4949.gif</thumbnail_url><duration>367.621</duration><title>PawPawPlus Pet Care Scheduling Walkthrough</title><description>In this Loom I walk you through PawPawPlus, a pet care scheduling assistant built in Python and Streamlit that uses RAG to give personalized, grounded advice alongside your daily schedule. I show the setup steps, adding tasks with name, priority, time, duration, frequency, and category, and how the app checks for conflicts. After creating six tasks, it generates Jordan’s plan using 85 of 90 minutes, or 94 percent, plus AI advice for a high intensity play session. I also show you can edit, delete, or use Start Over. No action was specifically requested from viewers.</description></oembed>