Why Context Changes an AI's Answer (Teach This Topic)

This guide supports a home-educating parent teaching why the same language model can produce different answers when the information around a request changes. It introduces context, instructions, conversation history, context windows, tokens and retrieval-augmented generation through short explanations and self-contained activities. The central message is that relevant context can improve suitability, but it cannot guarantee that an AI answer is correct.