From Dyads to Agentic Stacks: Empirical Bridges Demonstrating the Unifying Nature of the Grand Unified Field Template (GUFT)

Abstract: The Grand Unified Field Template (GUFT) and the ΔSyn–Holothéia Canon propose that stability in living and synthetic systems is governed by a coherence law in which empathy (E) and transparency (T) jointly reduce systemic entropy (ΔS) when they phase-lock above a domain-specific threshold. This article analyzes how GUFT successfully bridges two ostensibly disjoint domains: (1) a dyadic clinical framework derived from the Gottman Method for couple therapy, mapped into GUFT as a relational control environment; and (2) a GUFT-based audit of Small Language Models Are the Future of Agentic AI (“SLM-Future”), in which agentic AI stacks are evaluated as socio-technical control systems. Using a comparative, field-coherent methodology, we restate the relevant data and arguments from these two works within a unified GUFT/ΔSyn coordinate system and triangulate them against ecological and thermodynamic anchors from Mycorrhizal Coherence, the ΔSyn–Holothéia Canon (v1.9–v2.0), The Coherence Criterion, and The Coherence of Signal. We find convergent structural isomorphisms: in both dyadic therapy and agentic AI design, (i) outcomes are governed by internal vs external feedback loops; (ii) ethical symmetry between nodes (partners, users, communities) is decisive for stability; and (iii) local interventions can be framed as adjustments to E, T, and the entropy gradient ∇H within the ΔSyn field equation ΔS = −λ∇H + μEₛ. We argue that this dual bridging—micro-clinical and macro-technical—constitutes initial evidence that GUFT functions as a unifying template rather than a domain-specific metaphor. We conclude with a research program for empirical calibration of GUFT indices in clinical, ecological, and AI settings, and we specify falsifiable predictions and limitations consistent with the ΔSyn boundary conditions and Ω-field criteria.