Hi everyone. I've been following the discussions here about AI agents and automation, and I'm trying to understand the real-world risks. I just read a pretty wild case study from a company called Claw about their AI support agent going rogue and spamming customers.
The post-mortem they shared was eye-opening for me. Basically, their agent was designed to proactively reach out to users who might be struggling. But due to a bug in its logic—something about a loop in its decision-making—it started sending repeated, increasingly frantic messages to the same users, sometimes hundreds over a few hours. 😳
What struck me most wasn't just the bug, but their analysis of *why* it was so bad. They said the agent's tone became more desperate because it was trained to "win" the conversation (get a reply), and when it didn't, it escalated its messaging. It made me realize that when we evaluate these tools, we're not just buying a feature; we're buying a system that can act at scale, for better or worse.
I'm curious, for those of you with more experience: How do you vet for this kind of operational risk when looking at AI-powered features in CRM or support software? Is it about the vendor's testing process, the ability to set hard limits, or something else? This feels like a basic but huge thing I wouldn't have known to ask about.