Acrolinx updates

Author: buzahid

learn-pr/wwl-data-ai/develop-ai-agent-with-semantic-kernel/includes/3-create-azure-ai-agent.md

@@ -1,4 +1,4 @@
-**AzureAIAgent** is a specialized agent within the Semantic Kernel framework, designed to provide advanced conversational capabilities with seamless tool integration. It automates tool calling, eliminating the need for manual parsing and invocation. The agent also securely manages conversation history using threads, reducing the overhead of maintaining state. The AzureAIAgent class supports a variety of built-in tools, including file retrieval, code execution, and data interaction via Bing, Azure AI Search, Azure Functions, and OpenAPI.
+**AzureAIAgent** is a specialized agent within the Semantic Kernel framework, designed to provide advanced conversational capabilities with seamless tool integration. It automates tool calling, eliminating the need for manual parsing and invocation. The agent also securely manages conversation history using threads, reducing the overhead of maintaining state. The AzureAIAgent class supports many built-in tools, including file retrieval, code execution, and data interaction via Bing, Azure AI Search, Azure Functions, and OpenAPI.
 
 ## Creating an AzureAIAgent
 
@@ -12,7 +12,7 @@ To use an AzureAIAgent:
 1. Create an agent definition on the agent service provided by the client.
 1. Create an agent based on the definition.
 
-Here is the code that illustrates how to create an AzureAIAgent:
+Here's the code that illustrates how to create an AzureAIAgent:
 
 ```python
 from azure.identity.aio import DefaultAzureCredential
@@ -70,8 +70,8 @@ The Semantic Kernel AzureAIAgent object relies on the following components to fu
 
 - **Agent service** - the AzureAIAgent client also contains an agent operations service. This service helps streamline the process of creating, managing, and running the agents for your project.
 
-- **Agent definition** - the AzureAI Agent model created via the AzureAI Project client. This definition specifies the AI deployment model that should be used, as well as the name and instructions for the agent.
+- **Agent definition** - the AzureAI Agent model created via the AzureAI Project client. This definition specifies the AI deployment model that should be used, and the name and instructions for the agent.
 
-- **AzureAIAgentThread** - automatically maintains the conversation history between agents and users, as well as the state. You can add messages to a thread and use the agent to invoke a response from the LLM.
+- **AzureAIAgentThread** - automatically maintains the conversation history between agents and users, and the state. You can add messages to a thread and use the agent to invoke a response from the LLM.
 
 These components work together to allow you to create an agent with instructions to define its purpose and invoke responses from the AI model.