{"type":"video","version":"1.0","html":"<iframe src=\"https://www.loom.com/embed/2ec3a817ecdb4fc19053db43ab490625\" frameborder=\"0\" width=\"1728\" height=\"1296\" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>","height":1296,"width":1728,"provider_name":"Loom","provider_url":"https://www.loom.com","thumbnail_height":1296,"thumbnail_width":1728,"thumbnail_url":"https://cdn.loom.com/sessions/thumbnails/2ec3a817ecdb4fc19053db43ab490625-619e4be2eb23bdab.gif","duration":361.278,"title":"Building a Self-Improving Call Agent with N8n and AI Technology 🤖","description":"In this video, I walk you through my self-improving call agent project that utilizes N8n, Google Gemini, and DeepGram Aura. I demonstrate how the workflow analyzes sales calls and suggests improvements based on customer feedback, specifically focusing on budget and time constraints. For instance, I modified the user prompt to see how the AI adapts its responses, and it successfully recognized the need to address the customer's busy schedule. I encourage you to explore this workflow further and consider how it can enhance our sales strategies. Your feedback on this project would be greatly appreciated."}