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An AI that can think is a consultant; an AI that can act is an employee. In this third session, we take our AI employee beyond the chat interface and connect it to your real-world work environment: Gmail, Google Calendar, and Google Drive. Connecting tools is easy, but doing it safely is the challenge. We introduce the MCP (Model Context Protocol) framework to create a "bridge" between your AI and your apps, ensuring the AI only has access to what it needs and never acts without your permission. What you will learn in this technical setup: - The MCP Framework: Understanding the bridge between AI models and your professional apps. - Connection + Control: Why connecting a tool is only half the battle—and how to set up the safety layer. - The 4 Levels of Access: Defining Read, Draft, Write, and Restricted permissions to manage risk. - Multi-Step Workflows: Watch the AI read an email, check calendar availability, and draft a response in one fluid motion. - The "Safety Stress Test": How to deliberately try and break your AI’s rules to ensure it never sends an unauthorized email or file. - Integration Demo: Step-by-step walk-through of connecting Google Workspace inside the Claude Co-work environment. The Golden Rule of AI Ops: Start with conservative access. You can always grant more power later, but you must verify behavior first.

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