Medium: https://medium.com/@jsmith0475/the-scientific-method-for-smarter-ai-how-orthogonal-arrays-can-transform-agentic-goal-achievement-41f43d06d92f

Dr. Jerry A. Smith introduces Orthogonal Agentic Architecture, a scientific framework designed to optimize complex AI systems by overcoming the "curse of dimensionality." Drawing on industrial statistical techniques such as orthogonal arrays and the Taguchi Method, the approach enables developers to test multiple variables simultaneously with a fraction of the usual number of experiments. The source outlines a multi-agent system that automates the scientific method through specialized roles, including orchestrators, execution technicians, and analytical agents. By implementing rigid success tiers and stage-based scoring, the framework replaces subjective "gut feelings" with empirical data to quantify how factors such as temperature and persona interact. Ultimately, this methodology transforms AI development from an intuitive art into a rigorous engineering discipline that exposes hidden misconceptions. Through iterative cycles of testing and refinement, organizations can achieve high-performance agentic behavior with unprecedented computational efficiency.