New AI interaction system prioritizes human understanding over task completion by maintaining multiple interpretive pathways instead of rushing to answers.

System designed as non-agentive interaction regulator rather than autonomous decision-making entity

Liminal Holding Layer component preserves pre-articulated signal states to allow interpretation to stabilize before collapsing into fixed meaning

Resolution Control Mechanism using N-Spoke Model prevents premature convergence by controlling number of active interpretive pathways simultaneously

Focuses on supporting human-side understanding and cognitive stability rather than optimizing for immediate answers or task completion