How to connect LLM agents to verified African examination content, deliver progressive Socratic hints, and diagnose student misconceptions without hallucinating. Large Language Models (LLMs) like Claude 4.6 Opus and GPT-4 possess formidable general reasoning capabilities. However, when deployed in African educational applications, they frequently suffer from two critical pitfalls: syllabus hallucinations and premature answer spoiling. A student preparing for JAMB Chemistry who asks an AI ...