What prevents people including devs and enterprises from using ai agents for production in some situations?and keeps them up at night when deployed to production??

Let's be real. The demo always looks insanely cool, but putting an autonomous agent in production is terrifying.

You've got agents deciding to execute tool calls on their own, hallucinating logic, or hallucinating tool requirements. And when it fails, it rarely crashes with a nice stack trace—it just fails silently or goes off the rails into unpredictable territory.For the devs and enterprises out there actually shipping these things: What is the nightmare scenario keeping you awake? Are you worried about an agent overstepping boundaries, a silent data corruption, or something else entirely?