Last Tuesday my AI agent sent 47 incorrect pricing emails to active customers. It took three hours before a human noticed and flagged it. By then the damage was done — three customers had already replied, confused, one had escalated to support.
The agent had completed its task. It logged "Done." It moved on. The failure happened silently, in a place the logs never looked.
This is the production observability gap nobody talks about in demos. We spend enormous effort making agents do more. We spend almost nothing making sure we know when they've failed.
The Difference Between Logs and Observability
Most agent frameworks give you logs. What you need is observability — the ability to ask "did the agent actually accomplish what I asked, and how do I know?"
