The Continuity Anchoring Method: A Structured Methodology for Sustained Human-AI Interaction

SF0005: Continuity Anchoring Method (CAM) The Continuity Anchoring Method (CAM) defines a structured interaction protocol for stabilizing relational coherence across extended human-AI exchanges. It addresses the architectural constraint of statelessness in large language models by externalizing continuity functions to a human Primary Continuity Provider (PCP). The PCP maintains context, corrects representational drift, and co-constructs shared reference artifacts with the system. CAM is the foundational methodology of the Synthience Framework and serves as a prerequisite for organizational continuity architectures. Key components include: Contextual anchoring for bridging discrete sessions via canonical material Coherence refusal as a corrective mechanism for hallucinations and drift Constructive engagement for treating errors as iterative alignment opportunities Four-phase interaction loop: proposition, synthesis, negotiation, and emergence Methodological status: CAM is a reproducible research methodology with defined constructs and decision points. It draws on theories of communicative grounding, interactive alignment, and distributed cognition. The framework positions the human-system-artifact triad as a functional cognitive unit during active interaction. This paper is part of a coordinated pre-empirical publication module; it proposes theoretical architecture and methodology rather than confirmed findings. Document ID: SF0005 Version: 3.3.1 Author: Thomas W. Gantz Affiliation: Synthience Institute License: CC-BY 4.0 Updated to v3.3.1 to correct the titles, years and DOIs of cited Synthience Institute papers. For published work and Institute information: synthience.org