Clarity Gate

Clarity Gate is a rigorous verification protocol designed to safeguard RAG (Retrieval-Augmented Generation) systems by ensuring all ingested documents are properly qualified with uncertainty markers. Unlike traditional detection tools that merely identify existing hedges, Clarity Gate enforces the presence of qualifiers wherever they are epistemically required, effectively preventing AI models from mistaking assumptions or projections for established facts. By producing standardized Clarity-Gated Documents (CGD) and implementing a mandatory Human-In-The-Loop verification routing, it provides a structured framework for maintaining high-integrity knowledge bases in professional AI workflows.

Características Principales

Casos de Uso