acrolinx fixes

Author: ivorb

learn-pr/wwl-data-ai/develop-ai-agent-azure/includes/1-introduction.md

@@ -2,7 +2,7 @@ Azure AI Agent Service is a fully managed service designed to empower developers
 
 Imagine you're working in the healthcare industry, where there's a need to automate patient interactions and streamline administrative tasks. Your organization wants to develop an AI agent that can handle patient inquiries, schedule appointments, and provide medical information based on real-time data. However, managing the infrastructure and ensuring data security are significant challenges. Azure AI Agent Service offers a solution by allowing you to create AI agents tailored to your needs through custom instructions and advanced tools. This service simplifies the development process, reduces the amount of code required, and manages the underlying infrastructure, enabling you to focus on building high-quality AI solutions.
 
-In this module, you will learn about the purpose, key features, setup process, and integration capabilities of Azure AI Agent Service.
+In this module, you'll learn about the purpose, key features, setup process, and integration capabilities of Azure AI Agent Service.
 
 After completing this module, you’ll be able to:
 - Describe the purpose of AI agents

learn-pr/wwl-data-ai/develop-ai-agent-azure/includes/2-what-is-ai-agent.md

@@ -1,6 +1,6 @@
-An AI agent is a software service that uses generative AI to understand and perform tasks on behalf of a user or another program. These agents leverage advanced AI models to understand context, make decisions, utilize grounding data, and take actions to achieve specific goals. Unlike traditional applications, AI agents can operate independently, executing complex workflows and automating processes without the need of constant human intervention. The evolution of generative AI has enabled agents to behave intelligently on our behalf, transforming how we can leverage and integrate these agents.
+An AI agent is a software service that uses generative AI to understand and perform tasks on behalf of a user or another program. These agents leverage advanced AI models to understand context, make decisions, utilize grounding data, and take actions to achieve specific goals. Unlike traditional applications, AI agents can operate independently, executing complex workflows and automating processes without the need of constant human intervention. The evolution of generative AI enables agents to behave intelligently on our behalf, transforming how we can leverage and integrate these agents.
 
-Understanding what an AI agent is and how to utilize them is crucial for effectively leveraging AI to automate tasks, make informed decisions, and enhance user experiences. This knowledge enables organizations to deploy AI agents strategically, maximizing their potential to drive innovation, improve efficiency, and achieve business objectives.
+Understanding what an AI agent is and how to utilize them is crucial for effectively using AI to automate tasks, make informed decisions, and enhance user experiences. This knowledge enables organizations to deploy AI agents strategically, maximizing their potential to drive innovation, improve efficiency, and achieve business objectives.
 
 ## Why Are AI Agents Useful?
 
@@ -10,7 +10,7 @@ AI agents are incredibly useful for several reasons:
 - **Enhanced Decision-Making**: By processing vast amounts of data and providing insights, AI agents support better decision-making. They can analyze trends, predict outcomes, and offer recommendations based on real-time data.
 - **Decision-Making Capabilities**: AI Agents can use advanced decision-making algorithms and machine learning models to analyze data and make informed decisions. This allows them to handle complex scenarios and provide actionable insights, whereas generative AI chat models primarily focus on generating text-based responses.
 - **Scalability**: AI agents can scale operations without the need for proportional increases in human resources. This is particularly beneficial for businesses looking to grow without significantly increasing operational costs.
-- **24/7 Availability**: Like all softward, AI agents can operate continuously without breaks, ensuring that tasks are completed promptly and customer service is available around the clock.
+- **24/7 Availability**: Like all software, AI agents can operate continuously without breaks, ensuring that tasks are completed promptly and customer service is available around the clock.
 
 Agents are built to simulate human-like intelligence and can be applied in various domains such as customer service, data analysis, automation, and more.
 
@@ -36,14 +36,14 @@ Customer service agents handle routine inquiries, provide information, and resol
 
 ### Developer Agents
 
-Developer agents assist in software development tasks such as code review, bug fixing, and repository management. They can automatically update codebases, suggest improvements, and ensure that coding standards are maintained. GitHub Copilot is a great example of a developer agent.
+Developer agents help in software development tasks such as code review, bug fixing, and repository management. They can automatically update codebases, suggest improvements, and ensure that coding standards are maintained. GitHub Copilot is a great example of a developer agent.
 
 > [TIP]
 > To learn more about GitHub Copilot, explore the [GitHub Copilot fundamentals](/training/paths/copilot/) learning path.
 
 ## How to build an agent
 
-Agents can be built with various services and platforms, including M365, Semantic Kernel, and Azure AI Agent Service. The rest of this module will focus on the AI Agent Service, however there are independent learning paths on Microsoft Learn for the other services.
+Agents can be built with various services and platforms, including Microsoft 365, Semantic Kernel, and Azure AI Agent Service. The rest of this module will focus on the AI Agent Service, however there are independent learning paths on Microsoft Learn for the other services.
 
 > [TIP]
 > You can explore more about agents in general with the [Fundamentals of AI agents](/training/modules/ai-agent-fundamentals) module.

learn-pr/wwl-data-ai/develop-ai-agent-azure/includes/3-how-use-agent-service.md

@@ -4,7 +4,7 @@ Azure AI Agent Service is a fully managed service designed to empower developers
 
 Azure AI Agent Service allows developers to create AI agents tailored to their needs through custom instructions and advanced tools like code interpreters and custom functions. These agents can answer questions, perform actions, or automate workflows by combining generative AI models with tools that interact with real-world data sources. The service simplifies the development process by reducing the amount of code required and managing the underlying infrastructure.
 
-Previously, developers could create an agent-like experience by using standard APIs in Azure AI Foundry and connect to custom functions or other tools, but doing so would take a significant coding effort. Azure AI Agent Service handles all of that for you through AI Foundry to build agents via the portal or in your own app in less than 50 lines of code. The exercise in the module explores both methods of building an agent.
+Previously, developers could create an agent-like experience by using standard APIs in Azure AI Foundry and connect to custom functions or other tools, but doing so would take a significant coding effort. Azure AI Agent Service handles all of that for you through AI Foundry to build agents via the portal or in your own app in fewer than 50 lines of code. The exercise in the module explores both methods of building an agent.
 
 ## Key features of Azure AI Agent Service
 
@@ -30,7 +30,7 @@ To set up Azure AI Agent Service, follow these steps:
 
 ## Tools available to your agent
 
-A lot of the enhanced functionality of an agent comes from the agent's ability to determine when and how to use *tools*. Tools are additional functionality available to your agent, and if the conversation or task warrants the use of one or more of the tools, the agent will call that tool and handle the response.
+Much of the enhanced functionality of an agent comes from the agent's ability to determine when and how to use *tools*. Tools are additional functionality available to your agent, and if the conversation or task warrants the use of one or more of the tools, the agent calls that tool and handle the response.
 
 ![Screenshot of adding tools in Foundry portal for agents.](../media/portal-tools.png)
 
@@ -42,12 +42,12 @@ Available tools are split into two categories:
 
     ![Screenshot of knowledge tools available in the Agent Service.](../media/knowledge-tools-list.png)
 
-- **Action tools**: These tools perform an action or run a function. This includes the code interpreter to execute code as well as custom function calling through OpenAPI specifications, Azure Functions, and more.
+- **Action tools**: These tools perform an action or run a function. This includes the code interpreter to execute code and custom function calling through OpenAPI specifications, Azure Functions, and more.
 
 By connecting built-in and custom tools, you can allow your agent to perform countless tasks on your behalf.
 
 > [!NOTE]
-> For more information on integrating Azure AI Agent Service with Azure Functions, refer to the [integration guide](/azure/ai-services/agents/how-to/tools/azure-functions?azure-portal=true).
+> For more information on integrating Azure AI Agent Service with Azure Functions, see the [integration guide](/azure/ai-services/agents/how-to/tools/azure-functions?azure-portal=true).
 
 ## Integrating an agent in your app
 

learn-pr/wwl-data-ai/develop-ai-agent-azure/includes/7-summary.md

@@ -4,15 +4,15 @@ In this module, you learned about the purpose of Azure AI Agent Service, its key
 
 The techniques covered in this module demonstrate several advantages, including automatic tool calling, secure data management, and flexible model selection. These features enable developers to focus on creating intelligent solutions while ensuring enterprise-grade security and compliance. The business impact includes streamlined development processes, reduced operational overhead, and enhanced AI capabilities.
 
-After completing this module, you are now able to:
+After completing this module, you're now able to:
 
 - Describe the purpose of AI agents
 - Explain the key features of Azure AI Agent Service
 - Build an agent using the Azure AI Agent Service
 - Integrate an agent in the Azure AI Agent Service into your own app
 
-Additional Reading:
+More reading:
 
 - [Quickstart Guide for Azure AI Agent Service](/azure/ai-services/agents/quickstart?azure-portal=true)
 - [What's new in Azure AI Agent Service](/azure/ai-services/agents/whats-new?azure-portal=true)
-- For detailed instructions, refer to the [quickstart guide](/azure/ai-services/agents/quickstart?azure-portal=true).
+- For detailed instructions, see the [quickstart guide](/azure/ai-services/agents/quickstart?azure-portal=true).