UMOKWAI Presentation Router — Selective-loading system for fluent linguistic rendering of supervised drafts
Abstract
UMOKWAI Presentation Router — Selective-loading system for fluent linguistic rendering of supervised drafts UMOSU/UMOKWAI (Unified Model of Social Universe / Unified Model of Knowledge With AI) This work introduces the Presentation Router, the third component of the UMOKWAI operational architecture. The system receives the technical draft already classified by the Ontological Router and supervised assert-by-assert by the Meta-Router, and rewrites it in fluent natural language, removing ontological codes and technical metadata while lightly signalling residual control needs.The Presentation Router does not verify and does not classify. It does not add asserts and does not remove substantive limits. Its sole function is linguistic assembly and assistance to human review: it returns a readable text in which residual uncertainties (control not available in this environment, single case not accessible, non-falsifiable interpretation, ambiguity, systematic human-control obligation) are made visible through a discreet but unambiguous parentheses system.The architecture is modular and selective-loading. Four control files remain always active; after reading the Meta-Router report, only the style modules corresponding to the phenomena present are loaded. In this way the third Router completes the chain:classification → supervision → presentation,allowing the generative and interfacing capacities of the LLM to be exploited without confusing the linguistic interface with the verification mechanism of the phenomenon.The system is proposed as a testable and improvable component of the UMOSU/UMOKWAI ecosystem, intended for joint use with the Ontological Router and the Supervision Meta-Router in professional, administrative and research contexts.Keywords: Presentation Router, UMOKWAI, linguistic rendering, light signalling, technical draft, human oversight, selective loading, linguistic interface, hallucination prevention.
