Imagine joining a group of passionate football experts to predict league game scores and assemble a 15-player team each week. Intriguing, right? Well, I created AgenticAI to do just that. In this story, I'll share the best practices in Agentic architecture, communication, model selection for each agent, and scalable, secure cloud AI infrastructure. Plus, I'll explain how to expose this as an MCP server, allowing selective functionality exposure with RBAC, which isn't currently possible with MCP.

Join me on my journey of building AgenticSaaS, and discover my successes and, most importantly, my failures.