{"type":"video","version":"1.0","html":"<iframe src=\"https://www.loom.com/embed/a762eb78552647b4b9c4087159b4527a\" 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/a762eb78552647b4b9c4087159b4527a-40c34057e9f3c712.gif","duration":96.207,"title":"Automating Customer Support with AI Workflows 🤖","description":"In this video, I walk you through a customer support automation workflow I built using Anitin, Zapier, and OpenAI. The process begins with a Gmail trigger that monitors for new messages, which are then categorized by an AI text classifier powered by GPT-4. Support-related queries are routed to an AI agent that retrieves information from a Pinecone Vector store and generates personalized responses sent back via Gmail. This workflow exemplifies the core logic needed for your GHL plus Zapier plus ChatGPT SMS system. I encourage you to consider how this automation can enhance your own customer support processes."}