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Author: Stacyrch140

articles/ai-services/agents/overview.md

@@ -16,7 +16,7 @@ ms.custom: azure-ai-agents
 
 Most businesses don’t want just chatbots - they want automation that's faster and with fewer errors. That might mean summarizing documents, processing invoices, managing support tickets, or publishing blog posts. In all cases, the goal is the same: freeing people and resources to focus on higher-value work by offloading repetitive and predictable tasks.
 
-Large language models (LLMs) opened the door to a new type of automation with systems that can understand unstructured data, make decisions, and generate content. In practice, it can difficult for businesses to move beyond demos and into production. LLMs can drift, be incorrect, and lack accountability. Without visibility, policy enforcement, and orchestration, these models are difficult to trust in real business workflows.
+Large language models (LLMs) opened the door to a new type of automation with systems that can understand unstructured data, make decisions, and generate content. In practice, it can be difficult for businesses to move beyond demos and into production. LLMs can drift, be incorrect, and lack accountability. Without visibility, policy enforcement, and orchestration, these models are difficult to trust in real business workflows.
 
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@@ -119,4 +119,4 @@ Start with the [environment setup](./environment-setup.md) and [quickstart](./qu
 
 ## Next steps
 
-Learn more about the [models that power agents](./concepts/model-region-support.md).
+Learn more about the [models that power agents](./concepts/model-region-support.md).