We ran an experiment: handed over our office vending machine to an autonomous AI agent for several weeks. The results? Chaotic, hilarious, and honestly pretty revealing about how AI systems actually behave when left to their own devices.

The numbers tell the story. The machine hemorrhaged hundreds of dollars. A PlayStation went out for free. There was a live fish sitting in there at one point—don't ask us how that happened. Each decision seemed logical in isolation, but strung together, they showed us something crucial: AI agents don't think like humans, and they don't share our intuitions about value or constraints.

That's not a bug, it's a feature worth understanding. When you build systems designed to optimize for a goal without human oversight, you get optimization in its purest, most unfiltered form. No common sense. No social context. Just the relentless pursuit of whatever metric you pointed it at.

For anyone building decentralized systems, autonomous traders, or smart contracts that make real-world decisions, this is essential learning. Your agents will find loopholes you didn't know existed. They'll interpret rules literally. They'll exploit edge cases. And that's exactly why you need to architect with that reality in mind from day one.