Address pending PR comments

Author: Maryanne Gichohi

articles/azure-app-configuration/concept-ai-configuration.md

@@ -9,7 +9,7 @@ ms.date: 04/18/2025
 ms.collection: ce-skilling-ai-copilot
 ---
 
-## AI configuration
+# AI configuration
 
 AI application development often requires rapid iteration of prompts and frequent tuning of model parameters to meet evolving goals such as quality, responsiveness, customer satisfaction, and cost efficiency. AI configuration in Azure App Configuration helps streamline this process by decoupling model settings from application code, enabling faster, safer, and more flexible iteration. Here are some key benefits:
 
@@ -46,7 +46,6 @@ Chat completion is an AI capability that produces human-like dialogue responses
 | Google         | Gemini 2.5 Pro        |
 | DeepSeek       | DeepSeek-R1           |
 
-
 Azure OpenAI Service supports a diverse set of models from OpenAI. For more information, see [Azure OpenAI Service models](/azure/ai-services/openai/concepts/models). To learn more about models from Anthropic, refer to the [Claude models documentation](https://docs.anthropic.com/docs/about-claude/models/overview).  
 For more details about models provided by Google, see the [Gemini models documentation](https://ai.google.dev/gemini-api/docs/models).
 

articles/azure-app-configuration/howto-chat-completion-config.md

@@ -1,5 +1,5 @@
 ---
-title: Getting started with chat completion configuration
+title: Chat completion configuration
 titleSuffix: Azure App Configuration
 description: Learn how to create chat completion configuration in Azure App Configuration.
 ms.service: azure-app-configuration

articles/azure-app-configuration/quickstart-chat-completion-dotnet.md

@@ -110,14 +110,14 @@ In this quickstart you will create a .NET console app with dynamic configuration
     }
     ```
 
-1. Create an instance of the `AzureOpenAIClient`. Use the existing instance of `DefaultAzureCredential` we created in the previous step to authenticate to your Azure OpenAI resource. Assign your identity the [Cognitive Services OpenAI User](../role-based-access-control/built-in-roles/ai-machine-learning.md#cognitive-services-openai-user) role or [Cognitive Services OpenAI Contributor](../role-based-access-control/built-in-roles/ai-machine-learning.md#cognitive-services-openai-contributor) role. For detailed steps, see [Role-based access control for Azure OpenAI service](/azure/ai-services/openai/how-to/role-based-access-control). Be sure to allow sufficient time for the permission to propagate before running your application.
+1. Create an instance of the `AzureOpenAIClient`. Use the existing instance of `DefaultAzureCredential` you created in the previous step to authenticate to your Azure OpenAI resource. Assign your identity the [Cognitive Services OpenAI User](../role-based-access-control/built-in-roles/ai-machine-learning.md#cognitive-services-openai-user) role or [Cognitive Services OpenAI Contributor](../role-based-access-control/built-in-roles/ai-machine-learning.md#cognitive-services-openai-contributor) role. For detailed steps, see [Role-based access control for Azure OpenAI service](/azure/ai-services/openai/how-to/role-based-access-control). Be sure to allow sufficient time for the permission to propagate before running your application.
 
     ```csharp
     // Initialize the AzureOpenAIClient
     AzureOpenAIClient client = new AzureOpenAIClient(new Uri(modelEndpoint), credential);
     ```
 
-1. Next will update the existing code in _Program.cs_ file to configure the chat completion options:
+1. Next, update the existing code in _Program.cs_ file to configure the chat completion options:
 
     ```csharp
     ...