video1.0<iframe src="https://www.loom.com/embed/2ec3a817ecdb4fc19053db43ab490625" frameborder="0" width="1728" height="1296" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>12961728Loomhttps://www.loom.com12961728https://cdn.loom.com/sessions/thumbnails/2ec3a817ecdb4fc19053db43ab490625-619e4be2eb23bdab.gif361.278In 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.