{"type":"video","version":"1.0","html":"<iframe src=\"https://www.loom.com/embed/66aa0f4070aa469ca1d5977a0adb81f7\" frameborder=\"0\" width=\"1920\" height=\"1440\" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>","height":1440,"width":1920,"provider_name":"Loom","provider_url":"https://www.loom.com","thumbnail_height":1440,"thumbnail_width":1920,"thumbnail_url":"https://cdn.loom.com/sessions/thumbnails/66aa0f4070aa469ca1d5977a0adb81f7-159b0bee4af50727.gif","duration":326.391,"title":"Building a Call Record Analysis Agent with Nagent - Agentic AI studio","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."}