Aim: To study how persona, context, audience and tone change an LLM response while keeping the underlying topic unchanged.
Prompt / Activity:
Use the same topic with the following three prompts and compare the responses.

PROMPT A - BEGINNER AUDIENCE:
You are a friendly teacher. Explain Retrieval-Augmented Generation (RAG) to a first-year student in simple language.
Use one everyday analogy and keep the answer below 150 words.

PROMPT B - TECHNICAL AUDIENCE:
You are a Generative AI architect. Explain Retrieval-Augmented Generation (RAG) to software developers.
Focus on indexing, embeddings, retrieval, context construction and generation. 
Use precise technical terminology and a compact architecture-oriented explanation.

PROMPT C - MANAGEMENT AUDIENCE:
You are an AI consultant. Explain Retrieval-Augmented Generation (RAG) to senior management. 
Focus on business value, knowledge freshness, hallucination reduction, governance and implementation risks. 
Avoid low-level implementation details.
