K² Assistant Core Spec: Specification for Conversational AI

The K² Assistant Core Spec is a project-level specification for configuring conversational AI systems to work with the terminology, structural principles, and operational guidelines of the K² Unified Resonance Framework. It defines the core field–operator–projection structure of K², including the Mother Vowel Fields (MVF), Father Consonant Operators (FCO), Child Syllable States (CSS), Singularity Modifiers, the 0–9–0 helical loop, the subject–object axis and U-bridge, the 3×3 matrix structure, and the K²-specific notion of resonance. The specification also defines operational boundaries for conversational AI, including the distinction between the phase-0 user position and the assistant’s role over phases 1–8, together with rules for recursive stability and re-centering. Sections A–I constitute the normative core of the specification, while Section J provides an optional area for user-specific configuration. This Zenodo record provides the human-readable reference version of the specification. For direct implementation in system instructions, project instructions, custom instructions, or equivalent configuration fields of large language models, a plain-text version is maintained in the associated GitHub repository. The K² Assistant Core Spec can be used independently. For applications involving everyday human situation structuring, reflection, and record support, K² Human OS: A User Manual — A Companion Guide to the K² Unified Resonance Framework may be consulted as an optional companion guide. K² is presented here as a hypothetical and comparative framework rather than as a unique explanation or final truth concerning physics, religion, cultural traditions, or other domains.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-08-19
DOI
https://doi.org/10.5281/zenodo.18810117
Primary Topic
AI in Service Interactions
Type
article
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article

K² Assistant Core Spec: Specification for Conversational AI

Masakazu Haruno
Zenodo (CERN European Organization for Nuclear Research)
AI in Service Interactions
article

K² Assistant Core Spec: Specification for Conversational AI

Masakazu Haruno
article en

Abstract

The K² Assistant Core Spec is a project-level specification for configuring conversational AI systems to work with the terminology, structural principles, and operational guidelines of the K² Unified Resonance Framework. It defines the core field–operator–projection structure of K², including the Mother Vowel Fields (MVF), Father Consonant Operators (FCO), Child Syllable States (CSS), Singularity Modifiers, the 0–9–0 helical loop, the subject–object axis and U-bridge, the 3×3 matrix structure, and the K²-specific notion of resonance. The specification also defines operational boundaries for conversational AI, including the distinction between the phase-0 user position and the assistant’s role over phases 1–8, together with rules for recursive stability and re-centering. Sections A–I constitute the normative core of the specification, while Section J provides an optional area for user-specific configuration. This Zenodo record provides the human-readable reference version of the specification. For direct implementation in system instructions, project instructions, custom instructions, or equivalent configuration fields of large language models, a plain-text version is maintained in the associated GitHub repository. The K² Assistant Core Spec can be used independently. For applications involving everyday human situation structuring, reflection, and record support, K² Human OS: A User Manual — A Companion Guide to the K² Unified Resonance Framework may be consulted as an optional companion guide. K² is presented here as a hypothetical and comparative framework rather than as a unique explanation or final truth concerning physics, religion, cultural traditions, or other domains.

Zenodo (CERN European Organization for Nuclear Research)
Resonance Health (Australia) (AU), New Mexico Resonance (US)
Quality Education
Openalex Percentile: Top 83%
AI in Service Interactions
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