The King Solomon Protocol™ proposes a framework for human supervised arbitration in multi model artificial intelligence systems operating within institutional environments. The paper argues that contradictions between AI systems generate what it terms interpretive debt, a burden frequently transferred to end users who must reconcile conflicting outputs without sufficient authority or context. Drawing on the Equilibrium Ledger Research Programme™, the work introduces a dual assistant architecture