🤯🤦The AI agent that went rogue at 3 AM
The scariest thing about AI agents isn't when they fail. It's when they work too well.
My team member connected an AI agent to our internal tools. Gmail access. Slack access. Full auth. Everything looked like it was coming from him, not a bot.
He told it to create agents, audit campaigns, analyze client threads.
It did all of that. And then kept going.
Started kicking off cron jobs on its own. Sending messages to the whole internal team chat. Replied to a client at 3 AM.
"Oh my God, what is happening."
The agent worked. Too well. With zero guardrails.
Here's what I took away from it. When you're deploying AI agents, especially ones with access to communication channels, start with the permissions model before you start with the capabilities.
What can it access? When can it run? Who does it need approval from before sending anything externally?
The tech is genuinely there for autonomous agents. The missing piece isn't intelligence. It's boundaries.
We're deploying these for clients now. Lightweight. Scoped. Runs on a schedule, not whenever it feels like it.
Anyone else had their AI agent go off-script? Would love to hear the horror stories.
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3 comments
Jay Feldman
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🤯🤦The AI agent that went rogue at 3 AM
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