This research introduces a hybrid AI router system that enables scalable deployment of super agents by optimizing for efficiency, cost, and performance.

• Intelligent routing mechanism that accurately understands user intent and connects to appropriate tools
• Hybrid deployment architecture balancing cloud and local resources for optimal efficiency
• Cost optimization techniques making advanced agent capabilities accessible at scale
• Application versatility across engineering, security, support, and office environments

For engineering teams, this research provides a practical framework to deploy powerful LLM-based agent systems that can handle diverse tasks while maintaining reasonable operational costs—a critical advancement for bringing agent technologies into production environments.

Toward Super Agent System with Hybrid AI Routers