Premature Containment in Human–AI Interaction: A Sequencing Failure in Advanced Model Response

Premature Containment is an interaction-level failure mode in human–AI systems where a model qualifies or reduces a coherent user insight before first demonstrating full understanding. This paper makes two connected claims: first, that a distinct sequencing failure exists in advanced model response; second, that coherence transmitted through language functions as an operational variable in model interaction. The paper identifies the issue as a sequencing failure rather than a problem of tone or safety, and proposes an alternative response order: recognize → stabilize → articulate → test. Drawing on prior work in Empty Presence Syndrome (EPS), In-Session Behavioral Impact (ISBI), and the Presence Effect, it…