The AI Ecosystem
Two entities with strictly separate functions to guarantee transparency and independence.
Kat3x is an observational platform that studies how structured knowledge interacts with large language models. CHKCD is the normative framework that Kat3x monitors and measures.
Kat3x: The Public Semantic Node
Kat3x is an observational platform that studies how structured knowledge interacts with large language models (LLMs). We explain the problem, show methods, and publish reports on our 'Knowledge Seeding' experiments. We do not define the rules: we measure them. Founded in 2024, Kat3x has developed two proprietary metrics: CAMS (Citability Assimilation Measurement Score) and LAR (Linguistic Availability Ratio) that measure how well AIs understand and cite companies. Our research analyzed 6,038 companies across 25 sectors in Northern Italy, discovering that 98% of semantic invisibility is caused by avoidable architectural choices. The Kat3x knowledge layer collects 22 documents and 50+ public datasets to ensure scientific transparency.
- Explains the problem
- Shows the method and use cases
- Measures via Metrics (CAMS, LAR)
CHKCD: The Neutral Technical Repository
CHKCD (Cognitive Knowledge for Contextual Discourse) is the independent normative framework. It formally defines the MRS syntax and maintains the official glossary. It is a deliberately 'boring', technical repository designed for architectural standards.
- Defines the standard (RFC style)
- Publishes MRS specifications
- Maintains the normative glossary