{"type":"video","version":"1.0","html":"<iframe src=\"https://www.loom.com/embed/2d0101b0bea54ef3be418208b050484d\" 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/2d0101b0bea54ef3be418208b050484d-e5a82e967ae08739.gif","duration":558.215,"title":"Agent Examples: Cold Calls, Roleplay &amp; AI SDR Demos","description":"This Loom explains how to configure and run different AI agents for sales and demo use cases. First, it shows a role-play cold thawal agent setup with resistance to overhelping, breakthrough criteria for sales, early termination if the user is pushy, and a rubric covering opening, objection handling, and closing. It then discusses an AI cold calling agent script emphasizing strong beat 1 and beat 2 opening, qualification with cues, a Q and A before closing, and cautions about knowledge base retrieval size plus use of variable extraction and call-cut protection. Finally, it demonstrates a product demo agent using a browser tool that follows a scripted story across pages with navigation, clicking, screenshot capture, and authenticated sessions via stored cookies."}