Stateful Intelligence: Engineering Trust, Continuity, and Dignity in Human-AI Experiences

Research Context: This work is a core component of the Coexi™ Living Thesis (DOI: 10.5281/zenodo.17280692).

This preprint introduces Coexi™, a privacy-first, personality-adaptive AI runtime designed to maintain behavioral continuity across interactions while preserving user agency and control. Persistent memory is now becoming standard AI infrastructure; the harder problem is no longer whether systems can retain state, but what state persists, how it changes, who controls it, and how that state affects future behavior. StatefulIntelligence_V4.2_TSmith

Coexi proposes an architecture for governed persistent state grounded in social learning theory, critical-thinking dispositions, personality adaptation, and local-first design. The framework combines contextual memory, behavioral continuity, OCEAN/HEXACO-informed interaction adaptation, and a curated Character Brain designed to model reflection, perseverance, truth-seeking, and intellectual humility over sustained interaction. StatefulIntelligence_V4.2_TSmith StatefulIntelligence_V4.2_TSmith

The 2026 update reflects a major shift in the AI landscape: memory itself is no longer the differentiator. The relevant distinction is increasingly governed versus ungoverned state—including ownership of persistent context, correction and deletion rights, inspectability, privacy boundaries, and whether users can understand and control how retained state changes future behavior. StatefulIntelligence_V4.2_TSmith

Key contributions:

• A theoretical framework integrating Bandura’s social learning theory, critical-thinking dispositions, and OCEAN/HEXACO personality adaptation for sustained human-AI interaction
• Four core principles: thinking patterns over skills, privacy-first architecture, continuity enabling specialization, and dignity by default StatefulIntelligence_V4.2_TSmith
• Technical architecture for contextual memory, personality-adaptive interaction, local-first processing, user-controlled state, auditability, and privacy-preserving persistence StatefulIntelligence_V4.2_TSmith StatefulIntelligence_V4.2_TSmith
• Architectural safeguards for manipulation, hallucination, coercion, rollback, human review, and system abuse StatefulIntelligence_V4.2_TSmith
• Failure-mode analysis covering personality misclassification, behavioral-modeling backfire, and system gaming, with detection, containment, remediation, and governance mechanisms StatefulIntelligence_V4.2_TSmith
• A staged 12-month validation methodology spanning limited-cohort testing, broader deployment, longitudinal evaluation, and control-group comparison StatefulIntelligence_V4.2_TSmith
• Updated 2026 positioning that treats persistent memory as established infrastructure and shifts the research focus toward state governance, behavioral continuity, user sovereignty, and inspectable adaptation StatefulIntelligence_V4.2_TSmith

Keywords: Human-Centric AIX, Coexi, Stateful AI, Persistent State, AI Memory, State Governance, Privacy-First Architecture, Behavioral Continuity, Personality Adaptation, Social Learning Theory, Critical Thinking Dispositions, AI Alignment, Human Development, Affective Computing

Thesis | DOI: https://zenodo.org/records/17280692