Source: Nate’s Substack
The bottleneck for production AI agents isn't capability—it's containment. As agents become more autonomous, companies need architectural "judge layers" that can intercept and flag high-stakes decisions (financial transfers, customer refunds, regulatory decisions) before execution. This converts prototypes into enterprise-deployable systems. Without this friction, the first major agent failure in production won't be a dramatic jailbreak but a mundane miscalculation that slips through because there was no human-in-the-loop checkpoint. That failure will reset investor and customer expectations about agent readiness.