A Federated Domain-Specific Architecture for Safe and Scalable Artificial Intelligence

The pursuit of monolithic, general-purpose Artificial General Intelligence (AGI) has led to models that are computationally inefficient, inherently unsafe, and prone to unreliable performance on specialized tasks. We propose a new architectural paradigm, the SyberCraft Architecture, which moves beyond generalization in favor of a "Federation of Specialists." This architecture is a distributed, multi-agent system comprising 147 specialized Large Language Models, each demonstrating mastery over a specific domain. The federation is governed by a dedicated, hierarchical AI C-Suite, operating under a system of internal checks and balances, to ensure strategic alignment, ethical compliance, and meta-cognitive optimization. Communication and coordination are facilitated by Runa, a new, open-standard language designed for unambiguous AI-to-AI interaction. We argue that this federated model provides a more robust, efficient, and provably safer path toward scalable, advanced artificial intelligence.