ValenceSphere Uses Triadic AI System to Combine Concept Learning with Fact-Checking

ValenceSphere is an experimental AI reasoning framework designed to give language models greater structure and rudimentary critical thinking. It operates through a triadic architecture of a questioner, an answerer, and an adjudicator, loosely modelled on Socratic dialogue. The system works in two stages: the first builds structured knowledge around individual concepts, while the second monitors live LLM conversations and independently audits factual claims made by both the user and the model. When assertions conflict with stored knowledge, three independent model configurations are used to verify them, and all reasoning and evidence are preserved in JSON format. The project is open-source and available on GitHub under the repository Valence-Sphere by Kosev-Lex.