Smart Model Router: Teaching Your AI to Choose Its Own Brain

Intelligent model routing cuts AI inference costs dramatically by choosing between local and cloud models based on task complexity. By running simple tasks on free local models and reserving expensive frontier models for genuinely hard problems, this hybrid approach reduces token spending while maintaining performance. The technique becomes increasingly critical as autonomous AI agents proliferate and operational costs become a major concern.