human in the loop

Autonomous agents still need humans at the right moments. The signal is designing checkpoints: where to interrupt, what to surface, how to persist and resume state, without turning the agent into a click-through rubber stamp.

Truth is not a label you can train on cheaply, and adversaries adapt the moment you ship. A strong answer fuses content, graph, and behavioral signals, puts humans in the loop where precision matters, and treats adversarial drift as a permanent operating condition, not a one-time training problem.

Every high-risk AI design ends with 'and a human reviews it.' Almost nobody measures whether that review produces any independent signal. Here is how to tell, and how to build oversight that can still disagree.