{"type":"video","version":"1.0","html":"<iframe src=\"https://www.loom.com/embed/e8619a9955934cdc85c8127edfc6e24b\" frameborder=\"0\" width=\"1550\" height=\"1162\" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>","height":1162,"width":1550,"provider_name":"Loom","provider_url":"https://www.loom.com","thumbnail_height":1162,"thumbnail_width":1550,"thumbnail_url":"https://cdn.loom.com/sessions/thumbnails/e8619a9955934cdc85c8127edfc6e24b-ea6a276f25196bcc.gif","duration":293.8114,"title":"Introducing AI Agent Reasoning for Enhanced Transparency and Decision-Making","description":"Hi everyone, in this video, I’m excited to introduce you to our new AI agent reasoning feature. We developed this to enhance clarity around how the AI agent makes decisions and provides responses, especially in cases like return policies. I walk you through an example where a customer inquired about returning an order, and we discovered a mistake in our guidance regarding the return window. I encourage you to review the reasoning provided by the AI agent to understand its decision-making process better and to make necessary adjustments to our guidance for future interactions. Let's work together to ensure our AI provides accurate and helpful information moving forward."}