An agent with access to your messages can also alert you to impending meetings, warn you that your building’s elevator is out of service (that happened to me earlier this week), keep you up to date on that Jira ticket you filed, and perform other powerful workflows (like the one shown in this week’s Notice of the Week, below).
To gain access to your email, AI services like ChatGPT, Claude, Gemini, and Meta’s Muse agent require tools, and among the most common AI tools for email are those from Gmail. These tools allow AI models and agents to perform certain Gmail tasks, such as “read message,” “add label,” “draft message,” or even, gulp, “send message.”
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They also come with sets of rules and permissions that you can (generally speaking) customize, allowing some actions to be performed autonomously while others require user approval or are blocked entirely. Modify these rules in the right way and you can minimize the chance of your agent, for example, sending an email on their own when they shouldn’t.
The key word, of course, is “minimize.” AI agents like ChatGPT Dots, Claude Cowork, Gemini Spark, and Meta Muse can act unpredictably, and while you can prevent agents from collecting your Gmail messages for AI training data, sensitive details from your Gmail conversations could end up in your AI chat threads, where they could be stored as memories.
So if you’re not comfortable taking those risks (and hey, I understand), my advice is to leave the Gmail tools alone.
If you do If you decide to move forward, know that enabling an AI’s Gmail integrations is just the first step. (ChatGPT has a Gmail “plugin,” while Claude and Muse call them “connectors,” and Gemini includes its Gmail integration under its “Personal Intelligence” umbrella.) Dig deeper and you’ll find more granular controls for those Gmail tools, where you can do things like set guardrails for when an agent can or can’t send email on their own.
