reduce bolding

Author: madiepev

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

@@ -1,16 +1,16 @@
-As generative AI models become more powerful and ubiquitous, their use grows beyond simple "chat" applications to power intelligent **agents** that can **operate autonomously** to automate tasks. Increasingly, organizations are using generative AI models to build agents that **orchestrate business processes** and **coordinate workloads** in ways that were previously unimaginable.
+As generative AI models become more powerful and ubiquitous, their use grows beyond simple "chat" applications to power intelligent **agents** that can **operate autonomously** to automate tasks. Increasingly, organizations are using generative AI models to build agents that orchestrate business processes and coordinate workloads in ways that were previously unimaginable.
 
 ## Single-agent scenario
 
-Consider an organization that builds an AI agent to help employees manage expense claims. The agent could use a **generative model** combined with **corporate expenses policy documentation** to answer employee questions about what expenses can be claimed and what limits apply.
+Consider an organization that builds an AI agent to help employees manage expense claims. The agent could use a **generative model** combined with corporate expenses policy documentation to answer employee questions about what expenses can be claimed and what limits apply.
 
 :::image type="content" source="../media/expense-agent-demo.png" alt-text="Mock-up of an expense agent responding to a question about monthly expenses.":::
 
-Additionally, the agent could use **programmatic functions** to automatically submit expense claims for regularly repeated expenses, such as **monthly cellphone bills**, or intelligently route expenses to the **appropriate approver** based on claim amounts.
+Additionally, the agent could use **programmatic functions** to automatically submit expense claims for regularly repeated expenses, such as monthly cellphone bills, or intelligently route expenses to the appropriate approver based on claim amounts.
 
 ## Multi-agent scenario
 
-In more complex scenarios, organizations can develop **multi-agent solutions** where multiple agents coordinate work between them. For instance, a **travel booking agent** could book flights and hotels for employees and automatically submit expense claims with appropriate receipts to the **expenses agent**—creating an integrated workflow that spans multiple business processes.
+In more complex scenarios, organizations can develop **multi-agent solutions** where multiple agents coordinate work between them. For instance, a travel booking agent could book flights and hotels for employees and automatically submit expense claims with appropriate receipts to the expenses agent—creating an integrated workflow that spans multiple business processes.
 
 :::image type="content" source="../media/travel-agent-demo.png" alt-text="Mock-up of a travel agent responding to a booking request.":::
 

learn-pr/wwl-data-ai/ai-agent-fundamentals/includes/2-what-are-agents.md

@@ -26,7 +26,7 @@ The diagram shows the following process:
 
 ## Explore the travel agent's capabilities
 
-In the previous unit, you also learned about a **travel booking agent** that extends this scenario into a **multi-agent solution**. This agent books flights and hotels, then automatically coordinates with the expense agent to submit claims. Here's how the travel agent demonstrates multi-agent coordination:
+In the previous unit, you also learned about a travel booking agent that extends this scenario into a multi-agent solution. This agent books flights and hotels, then automatically coordinates with the expense agent to submit claims. Here's how the travel agent demonstrates multi-agent coordination:
 
 - **Service integration**: Books flights and hotels through external travel service APIs.
 - **Cross-agent communication**: Initiates expense claims through the expense agent with appropriate receipts.

learn-pr/wwl-data-ai/ai-agent-fundamentals/includes/3-agent-development.md

@@ -1,10 +1,14 @@
-AI agents go beyond traditional apps that just respond to what you tell them—they can **act independently**, **make decisions**, and **work together** to get things done. Building these **proactive systems** requires **specialized frameworks and tools**, and there's now a growing ecosystem of solutions to choose from, each suited to different **skill levels** and **use cases**.
+AI agents go beyond traditional apps that just respond to what you tell them—they can reason, act independently, learn, and work together to get things done. Building these proactive systems requires **specialized frameworks and tools**, and there's now a growing ecosystem of solutions to choose from, each suited to different skill levels and use cases.
 
 Let's explore the available options for agent development and learn how to choose the right one for your needs.
 
-## Traditional AI frameworks: Enhancing apps with intelligence
+## From traditional AI frameworks to agentic AI
 
-Traditional AI frameworks help developers **integrate intelligent capabilities** into applications. These frameworks improve **performance** and **user engagement** in several key ways:
+To understand what makes AI agent frameworks different, it helps to first look at what traditional AI frameworks provide.
+
+### Traditional AI frameworks: Enhancing apps with intelligence
+
+Traditional AI frameworks help developers **integrate intelligent capabilities** into applications. These frameworks improve performance and user engagement in several key ways:
 
 - **Personalization:**  
   AI can analyze user behavior and preferences to deliver tailored recommendations and experiences.  
@@ -20,7 +24,7 @@ Traditional AI frameworks help developers **integrate intelligent capabilities**
 
 ### Beyond traditional AI: The rise of AI agent frameworks
 
-While traditional AI enhances applications, **AI Agent Frameworks** go further by enabling the development of **autonomous, goal-oriented agents**. These agents don't just process data—they **act**, **decide**, and **collaborate** to achieve objectives.
+While traditional AI enhances applications, **AI Agent Frameworks** go further by enabling the development of autonomous, goal-oriented agents. These agents don't just process data—they **reason**, **act**, and **learn** to achieve objectives.
 
 Key capabilities include:
 
@@ -35,9 +39,9 @@ Key capabilities include:
 
 ## Choose the right framework for your needs
 
-Now that you understand the difference between traditional AI frameworks and AI agent frameworks, let's explore the **specific tools and services** available for building agents. Microsoft offers several solutions—from **low-code tools** for business users to **full-featured SDKs** for professional developers—each designed for different scenarios and skill levels.
+Now that you understand the difference between traditional AI frameworks and AI agent frameworks, let's explore the **specific tools and services** available for building agents. Microsoft offers several solutions—from low-code tools for business users to full-featured SDKs for professional developers—each designed for different scenarios and skill levels.
 
-### Microsoft Foundry agent service
+### Microsoft Foundry Agent Service
 
 Microsoft Foundry Agent Service is a managed service in Azure that is designed to provide a framework for creating, managing, and using AI agents within Microsoft Foundry. The service is based on the OpenAI Assistants API but with increased choice of models, data integration, and enterprise security; enabling you to use both the OpenAI SDK and the Azure Foundry SDK to develop agentic solutions.