{"type":"rich","version":"1.0","provider_name":"Transistor","provider_url":"https://transistor.fm","author_name":"How We Agent","title":"The $15M-a-Month AI Bill: Why “Token Maxxing” Is Draining Your Budget","html":"<iframe width=\"100%\" height=\"180\" frameborder=\"no\" scrolling=\"no\" seamless src=\"https://share.transistor.fm/e/27aadeed\"></iframe>","width":"100%","height":180,"duration":2468,"description":"In this episode of How We Agent, Ani sits down with Sri Kandikonda, Group Product Manager at FedEx, who leads the evolution of FedEx’s API ecosystem across 200+ countries. Sri has 15+ years in e-commerce, logistics and fintech, teaches a Maven course on taking AI agents to production, and wrote a book on the API economy.\nSri shows how his team of product managers works alongside AI agents every day. He shares an internal agent that resolves 80% of product questions and explains why “anyone can build an agent, but few can build a reliable one.”\nThe conversation covers agent guardrails, evals, governance, LLM selection, token budgets, building internal before external, and why AI agents need real-time data to make decisions.","thumbnail_url":"https://img.transistorcdn.com/zm2cQVod7iUeHXB-VEI1a94SlLgwLH8qKNut5pbIhEk/rs:fill:0:0:1/w:400/h:400/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS9jMGZj/MDExZjAzYTNiOGQ5/ZTE0Y2JjZDE0NDVh/M2FlNy5qcGc.webp","thumbnail_width":300,"thumbnail_height":300}