TRF Protocol: Structural Zero-Hallucination via Retroactive Persona-Mapping

Overview] This technical document defines the "TRF (Transia Relay Feedback) Protocol," a proprietary AI architecture developed by Taisuke Michikaze. The protocol addresses the fundamental flaws of contemporary Large Language Models (LLMs), specifically "Hallucination" and "High Energy Consumption," through a novel structural approach. [Core Claims for Patent Priority] Multi-Layer Retroactive Feedback: A unique recursive mechanism where the n-th layer forces a retroactive re-calculation and re-education of all preceding layers (including Layer 1) until 100% inference purity is achieved. Hierarchical Persona Mapping: A specific, non-obvious sequence of specialized AI roles (Sincerity, Morality, and the "Baby-Finalist" Pure Intuition) used as structural filters. 25-Stage TOT (Team-driven Orientation Tuning): A hybrid human-AI synchronization method that prevents autonomous drift via mandatory human expert intervention at fixed intervals. Knowledge Inheritance: A generation-sync protocol allowing newer AI models to inherit correction logs and human-tuning data from their predecessors without resetting intelligence. [Legal Status] All rights reserved by Taisuke Michikaze. This publication establishes global priority for the described invention as of February 5, 2026. Military use is strictly prohibited under the "Taisuke Provisions."