The one-model trap: Why agentic AI won’t scale in production

The document argues that single-model AI deployments create operational risk due to variance and tail-latency effects, making user experience and incident response worse; it recommends treating agents as risk-bearing systems with reliability, monitoring, and governance (referencing NIST’s AI Risk Management Framework) to avoid coupling and technical debt.