MIRAGE, the control layer between AI and action

Field notes

The site models MIRAGE as a gate between probabilistic inference and an operational system. Its example shows four candidate outputs—three approvals and one rejection—triggering material-disagreement detection, constrained routing, selective audit, and a release decision. Two named application areas, energy pricing and public-funding project assessment, demonstrate the intended move from a general control mechanism into specific decision environments. The page attributes the underlying protection to a filed patent application and proprietary know-how, rather than presenting those claims as independently verified.