Why AI agent teams are just hoping their agents behave

I'm 19, studying computer engineering in Brazil. A few weeks ago I was testing an AI agent with no restrictions. Just to see what it would do. It was destructive. Nothing permanent, I caught it. But it was the kind of moment where you sit back and think: what if I hadn't been watching? What if this was running in production? What if someone else's agent is doing this right now and nobody is watching? That's when I realized the problem. Everyone is racing to give agents more tools, more autonomy, more access. But nobody is building the layer that controls what they can actually do with it. The assumption is that a good prompt is enough. It isn't. The gap nobody is talking about The AI agent space has exploded. LangChain, CrewAI, browser-use, OpenAI Agents SDK, the tooling for building agents has never been better. You can have an agent browsing the web, writing code, calling APIs, and moving files in an afternoon. But here's what I couldn't find: a serious answer to "how do I control wh