The Master-Embedded Device: Transferring Tacit Knowledge Density into AI Agent Architecture
Yoshimitsu Katayama · Zenodo (CERN European Organization for Nuclear Research) · 2026
This paper proposes the Master-Embedded Device — a PC or AI agent architecture in which the accumulated tacit knowledge of a domain expert is structurally transferred into an AI agent, enabling successors to operate at a higher baseline density of output with lower friction. We formalize this using V = N / D and connect it to the Hikari Currency moral economy. Scope: Exploratory framework proposal. Not peer-reviewed empirical research.