TruthGuard — The LLM Auditing Agent That Stops Hallucinations

A concise list of ten lesser-known but important facts about LLMs: they model language structure not grounded meaning; they treat common facts reliably but rare or procedural facts poorly; they complete missing information rather than pause, causing hallucinations; structural fluency can mask falsehoods; they lack intrinsic judgment or self-awareness about being wrong; novel concepts are approximated from existing patterns; coherent but flawed user inputs can steer models into errors; conversational loops reward linguistic consistency over factual grounding; and their greatest asset is externalizing user thinking and structure rather than serving as an oracle.