The Arclight Framework – A Decision OS for Humans and AI in an Uncertain World

This paper is not a theoretical proposal, a prescriptive framework, nor a normative argument about how decisions should be made. It is a structured record derived from long-term operational observation of decision processes that ceased to function as expected under specific environmental conditions. The document records recurring phenomena in which decisions appeared to be executed—procedures followed, analyses conducted, and conclusions reached—while the conditions required for a decision to exist were no longer maintained. Across multiple contexts, similar patterns were observed: judgments remained internally coherent yet externally inconsistent; alternative options disappeared without explicit rejection; and post-hoc explanations stabilized confidence without restoring structural validity. These phenomena were not attributable to individual incompetence, emotional volatility, or informational scarcity. Instead, they emerged when historically stable assumptions about time, reversibility, responsibility, and feedback ceased to hold. Within this record, artificial intelligence appears not as a replacement decision maker but as a system that amplifies both clarity and distortion by accelerating material generation without inheriting the conditions required for decision responsibility. The framework referred to as “Arclight” is not introduced as a solution or completed system, but as an observed structural arrangement that constrained decision flow, occasionally producing refusal or suspension where continuation would otherwise have occurred. What follows is a fixed account of observed conditions, internal transitions, and structural limits. No recommendations, ethical prescriptions, or claims of general applicability are made.