Episode Details

You ask your AI assistant to find a quote in your inbox. It says no results. But the email is right there, three threads deep. This isn’t an AI reasoning failure—it’s a crisis of integration plumbing. In this episode, we unpack why ChatGPT and Gemini’s Gmail connectors are brittle and buggy, even though the Model Context Protocol (MCP) has existed for over a year. We trace three layers of failure: rate limits that force shallow searches, thread reconstruction errors from flat message data, and safety layers that add friction without fixing root causes. The gap between a developer’s prototype and a production system serving millions is enormous—and it’s training users not to trust AI with anything that matters.