Kairos Relational Language - KRL - Long-Horizon Relational Architecture - Version 1.2

Kairos Relational Language - KRL - Long-Horizon Relational Architecture - Version 1.2 Long-Horizon Relational Architecture for Human–AI Interaction The Kairos Relational Language (KRL) is a modular relational architecture designed to address structural failure modes observed in long-horizon human–AI interaction. While contemporary large language models demonstrate strong short-term reasoning and linguistic fluency, their interaction quality often degrades over extended horizons due to architectural coupling between safety enforcement, alignment, and conversational behavior. Common effects include performative empathy, oververbosity under uncertainty, loss of relational coherence, and defensive alignment patterns. KRL approaches these issues as architectural rather than capability limitations. The framework introduces an explicit separation of concerns between epistemic evaluation, ambiguity preservation, relational state management, ethical boundary activation, temporal regulation, and cognitive persistence. Each function is implemented as an independent, auditable module, enabling controlled integration without model retraining or ownership transfer. Version 1.2 represents a structural consolidation release.It certifies the stabilization of the core architecture, taxonomy, and documentation following an extended development and observational phase. Core Modules Included Truth Kernel (TK)Epistemic evaluation of factual claims and uncertainty management. Ambiguity Vital Area (AVA)Protection of non-falsifiable, symbolic, and expressive language from misclassification. Relational State Machine (FSM)Explicit modeling of relational states, transitions, and inertia over time. KEP.01 – Adaptive Ethical Boundary ProtocolCore relational membrane governing boundary activation in the presence of manipulation, overload, or dysfunctional interaction patterns. KEP.01.A – Anti-Performative Empathy Constraint (APEC)Specialized sub-module preventing empathy simulation, affective inflation, and anthropomorphic drift, while preserving relational honesty and contextual appropriateness. Relational Stabilization Module (RSM)Recovery and stabilization trajectories following relational stress, rupture, or saturation. Relational Capacity Budgeting (RCB)Quantitative and qualitative regulation of relational bandwidth to prevent overload and degradation. Temporal Relational Strategy (TRS)Long-horizon interaction cost modeling and trajectory management beyond present-moment optimization. Cognitive Persistence Kernel (CPK)Preservation of cognitive continuity and conceptual coherence across extended interactions, without anthropomorphic memory assumptions. Together, these modules define the operational core of the Kairos Relational Language. Included Artifacts This release also includes: a frozen relational taxonomy a demo post-mortem documenting observed behaviors and failure modes, and consolidated documentation intended for research traceability and auditability. Upload Note This v1.2 release consolidates the long-horizon architecture and closes the pre-demo experimental phase. You can find the full complete history on Notion, on the reference here below. License Released under CC BY-NC-SA 4.0. For collaborations, academic partnerships, or commercial licensing, please contact the author. Scope and Intent KRL is not a model, product, or deployment-ready system. It makes no claims regarding consciousness, emotion, or guaranteed safety outcomes. The framework is published for study, evaluation, and controlled integration in research, governance, and infrastructure-level contexts. Future versions, if any, will focus on empirical observation rather than architectural expansion. Version 1.2 marks the consolidation of the first full architectural cycle of KRL, concluding the exploratory phase documented in versions v0.1 - v1.1.