<?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/66aa0f4070aa469ca1d5977a0adb81f7&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/66aa0f4070aa469ca1d5977a0adb81f7-159b0bee4af50727.gif</thumbnail_url><duration>326.391</duration><title>Building a Call Record Analysis Agent with Nagent - Agentic AI studio</title><description>Hi everyone, in this video, I walk you through the process of building a call record analysis agent using the Negent AI platform. This agent, named CallGuard Insight, focuses on churn detection, QA monitoring, and sending Slack alerts for high-risk calls. I demonstrate how to input data, select tools, and configure the agent through both automated and manual methods. I encourage you to explore the platform and try creating your own agents, as it’s designed to be user-friendly. Please review the agent in your draft section and submit it for approval once you’re ready.</description></oembed>