Update 6-exercise.md

Author: kprks

learn-pr/philanthropies/architecture-of-thought/includes/6-exercise.md

@@ -1,50 +1,50 @@
-### Hands-On Activity: Build a Basic AI-Powered Chatbot with Azure OpenAI Studio  
-**Time:** 15 min  
-
 **Objective:**  
+
 Use Azure OpenAI Studio to create a simple AI-powered chatbot that can handle basic user queries. This activity sets the foundation for building more advanced dialogue systems in later modules.
 
-**Materials Needed:**  
+**Materials needed:**
+
 - Laptop or desktop with internet access  
 - Azure OpenAI Studio access  
 - An Azure account with OpenAI resources enabled
 
-### Part 1: Create a Prompt-Based Chatbot in Azure OpenAI Studio
+## Part 1: Create a prompt-based chatbot in Azure OpenAI Studio
 
 1. **Log into Azure OpenAI Studio**  
    - Go to [Azure OpenAI Studio](https://oai.azure.com/) and sign in using your Azure credentials.
 
-2. **Start a New Chat Deployment**  
+2. **Start a new chat deployment**  
    - Select a GPT model (such as `gpt-35-turbo`) and open a new chat playground session.
 
-3. **Design Your Prompt Template**  
-   - Enter a system message that guides the chatbot’s behavior.  
+3. **Design your prompt template**  
+   - Enter a system message that guides the chatbot's behavior.  
      Example:  
-     *“You are a friendly customer support bot for a fictional online bookstore. Answer questions about orders, shipping times, and return policies.”*
+     *"You are a friendly customer support bot for a fictional online bookstore. Answer questions about orders, shipping times, and return policies."*
 
-4. **Test Basic Queries**  
+4. **Test basic queries**  
    - Try 3–4 user prompts such as:  
-     - “Where’s my order?”  
-     - “How long does shipping take?”  
-     - “Can I return a book I’ve already opened?”  
-   - Refine your system prompt if the chatbot’s responses are too vague or stray off-topic.
+     - "Where's my order?"  
+     - "How long does shipping take?"  
+     - "Can I return a book I've already opened?"  
+   - Refine your system prompt if the chatbot's responses are too vague or stray off-topic.
 
-### Part 2: Reflect and Extend
+## Part 2: Reflect and extend
 
-1. **Review Chat Flow and Output Quality**  
+1. **Review chat flow and output quality**  
    - Does the chatbot give helpful, accurate, and relevant answers?  
    - How well does it stay in character (for example, friendly and professional)?  
    - What happens if the user asks an unexpected or off-topic question?
 
-2. **Iterate on Your Prompt**  
+2. **Iterate on your prompt**  
    - Add follow-up instructions to adjust tone, set boundaries, or clarify scope.  
      Examples:  
-     - “Make responses more concise.”  
-     - “Avoid answering questions outside of bookstore topics.”  
-     - “Add empathy if the user seems frustrated.”
+     - "Make responses more concise."  
+     - "Avoid answering questions outside of bookstore topics."  
+     - "Add empathy if the user seems frustrated."
 
-3. **Optional: Add User Memory (Advanced Preview)**  
+3. **Optional: Add user memory (advanced preview)**  
    - Experiment with short-term memory by summarizing user input or keeping context through prompt chaining (covered in later lessons).
 
-**Expected Outcome:**  
+## Expected outcome
+
 Learners build a basic, prompt-driven chatbot using Azure OpenAI Studio. They learn how to guide tone and behavior through system prompts and test how the model responds to different user inputs. This hands-on experience lays the groundwork for developing more interactive and dynamic dialogue systems in upcoming modules.