Adaptive systems frequently fail not due to incorrect rules or insufficient intelligence, but due to unobserved internal pressure: escalation, repetition, tension, or unresolved distress. Human language and interaction exhibit these pressures acoustically and prosodically, prior to semantic meaning. However, most technical systems either ignore such signals or allow them to improperly influence decisions. This note records a conservative architectural integration between APO-L (Affective Phonetic Overlay Language) and Diamond-class self-correcting systems. APO-L is treated strictly as a non-semantic, non-authoritative signal layer whose outputs inform reflection but never determine action or commitment. The contribution is architectural and procedural, not algorithmic. No implementations or performance claims are proposed. The purpose is to establish conceptual priority for a safe, non-manipulative use of affective signal in governed adaptive systems.