Principlev1
When monitoring data shows stable satisfactory performance
When monitoring data shows stable satisfactory performance with no identifiable bottleneck, redirect optimization effort to a different system rather than continuing to optimize the current one.
Why This Is a Principle
Derives from Every system is perfectly designed to get the results it (systems produce designed results) and Single-loop learning adjusts actions within existing (double-loop learning). This prescribes when to STOP optimizing one system and move to another. It's about resource allocation across your portfolio of agents.