Harper’s Law of Irrelevance codifies a foundational principle of system evolution: systems designed in reference to their problems inherit those problems structurally, leading to compounding complexity and diminishing returns. In contrast, systems designed from clearly articulated end-state conditions exhibit logarithmic complexity scaling and emergent optimization. This work introduces the formal inversion from problem-centric design to outcome-first architecture through the specification of Conditions of Solution (COS). Rather than asking how to solve an identified constraint, the framework defines what must be true once that constraint is irrelevant. The result is a shift from mitigation-based engineering to intent-oriented design. Drawing from over two decades of architectural practice and cross-domain observation, the law demonstrates consistent applicability across software engineering, organizational systems, deployment models, communication structures, and governance frameworks. Case illustrations include containerization, virtualization, hiring systems, and deployment methodologies where constraint reframing eliminated entire classes of failure. The framework distinguishes between: Absolute constraints (e.g., physics, causality, non-negotiable human trust factors), which must be incorporated into design parameters. Inherited constraints (e.g., legacy architecture, institutional inertia, toolchain bias), which are eligible for structured inversion and dissolution. Harper’s Law shifts the metric of success from “problems mitigated” to “problems rendered architecturally irrelevant.” It proposes that sustainable innovation emerges not from reinforcing resilience against constraints, but from redefining systems in ways that no longer structurally acknowledge them. This publication formalizes the law, outlines its logical structure, documents failure states in misapplication, and provides operational tools for disciplined implementation.