You are the PM for a product that uses AI in two places:

1. A **customer support chatbot** that must be accurate and consistent.
2. A **marketing idea generator** that should be creative and varied.

Using what you learned about system vs user prompts, temperature, and prompt best practices:

1. Write **one system prompt** that will be reused for the support chatbot and **one example user prompt** a customer might send to it.
2. Recommend a **temperature setting** for the support chatbot and for the marketing idea generator (e.g., 0.2 vs 0.8) and give **one short reason** for each choice.
3. List **two prompt-engineering best practices** (from the lesson: e.g., specificity, context, examples, iterative refinement) and explain **how you would apply them** when improving these AI features.

Keep your answer short and focused.

You are the PM for a product that uses AI in two places:
<ol>
<li>A customer support chatbot that must be accurate and consistent.</li>
<li>A marketing idea generator that should be creative and varied.</li>
</ol>
Using what you learned about system vs user prompts, temperature, and prompt best practices:
<ol>
<li>Write one system prompt that will be reused for the support chatbot and one example user prompt a customer might send to it.</li>
<li>Recommend a temperature setting for the support chatbot and for the marketing idea generator (e.g., 0.2 vs 0.8) and give one short reason for each choice.</li>
<li>List two prompt-engineering best practices (from the lesson: e.g., specificity, context, examples, iterative refinement) and explain how you would apply them when improving these AI features.</li>
</ol>
Keep your answer short and focused.

Designing Prompts for a Support Chatbot and a Creative AI Tool

Shows clear understanding of user vs system prompts and temperature. The system prompt sets stable behavior, the user prompt is a concrete request, and low vs high temperature is matched to precision vs creativity.

Applies the concepts to the scenario in a practical way. The prompts, temperature choices, and listed best practices fit the use cases (support chatbot vs creative marketing tool) and would likely lead to useful AI outputs.

Response is concise, well-structured, and easy to follow. Each part directly answers the sub-tasks without unnecessary detail or ambiguity.