Maestro Order: A Model-Agnostic Orchestration Harness

Maestro Order is introduced as a model-agnostic orchestration harness designed to enhance the reliability of language models by integrating four structural primitives: decompose, ensemble, verify, and recurse, alongside a budget-aware controller for compute allocation. The architecture operates by treating models as black-box solvers and employs a verifier ensemble to improve reliability, achieving significant improvements in reliability metrics (e.g., from 0.55 to 0.999) through strategic verification and voting mechanisms. This framework is crucial for practitioners as it provides a systematic approach to mitigate hallucinations in AI systems, optimizing resource usage while ensuring high reliability in problem-solving tasks.