{"type":"video","version":"1.0","html":"<iframe src=\"https://www.loom.com/embed/4ba7ae94b3e04224a440a2977558085f\" frameborder=\"0\" width=\"1280\" height=\"960\" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>","height":960,"width":1280,"provider_name":"Loom","provider_url":"https://www.loom.com","thumbnail_height":960,"thumbnail_width":1280,"thumbnail_url":"https://cdn.loom.com/sessions/thumbnails/4ba7ae94b3e04224a440a2977558085f-cbe9d0bac27663a4.gif","duration":167.933,"title":"Using Conversation AI in Workflows for Conditional Responses","description":"In this video, I explain why I’m using the conversational AI bot inside workflows instead of the classic agents. In workflows, I can add conditional responses, like when an Instagram comment comes in for a keyword, I confirm they want the fat loss guide, then trigger the bot to deliver the lead magnet. With the conversation AI agent, you cannot conditionally trigger it, it’s mostly suggestive or autopilot. I describe autopilot for general support, and workflows for highly customized lead magnet conversations that feel more human. No action was requested from viewers."}