Orphaned articles follow up

.openpublishing.redirection.ai.json

@@ -72,6 +72,10 @@
             "redirect_url": "/dotnet/ai/quickstarts/prompt-model",
             "redirect_document_id": true
         },
+        {
+            "source_path_from_root": "/docs/ai/semantic-kernel-dotnet-overview.md",
+            "redirect_url": "/semantic-kernel/overview"
+        },
         {
             "source_path_from_root": "/docs/ai/tutorials/llm-eval.md",
             "redirect_url": "/dotnet/ai/evaluation/evaluate-ai-response"

docs/ai/conceptual/prompt-engineering-dotnet.md

@@ -76,7 +76,7 @@ John Adams ...' ///Text truncated
 
 An example is text that shows the model how to respond by providing sample user input and model output. The model uses examples to infer what to include in completions. Examples can come either before or after the instructions in an engineered prompt, but the two shouldn't be interspersed.
 
-An example starts with a prompt and can optionally include a completion. A completion in an example doesn't have to include the verbatim response—it might just contain a formatted word, the first bullet in an unordered list, or something similar to indicate how each completion should start.  
+An example starts with a prompt and can optionally include a completion. A completion in an example doesn't have to include the verbatim response—it might just contain a formatted word, the first bullet in an unordered list, or something similar to indicate how each completion should start.
 
 Examples are classified as [zero-shot learning](zero-shot-learning.md) or [few-shot learning](zero-shot-learning.md) based on whether they contain verbatim completions.
 
@@ -103,7 +103,7 @@ First president to be declared an honorary citizen of a foreign country, and an
 John Adams ...  /// Text truncated
 
 DOMESTIC POLICY
-- George Washington: 
+- George Washington:
 - John Adams:
 """;
 ```
@@ -114,7 +114,7 @@ DOMESTIC POLICY
 
 ## Example prompt using .NET
 
-.NET provides various tools to prompt and chat with different AI models. Use [Semantic Kernel](../semantic-kernel-dotnet-overview.md) to connect to a wide variety of AI models and services, as well as other SDKs such as the official [OpenAI .NET library](https://www.nuget.org/packages/OpenAI-DotNet/). Semantic Kernel includes tools to create prompts with different roles and maintain chat history, as well as many other features.
+.NET provides various tools to prompt and chat with different AI models. Use [Semantic Kernel](/semantic-kernel/overview/) to connect to a wide variety of AI models and services, as well as other SDKs such as the official [OpenAI .NET library](https://www.nuget.org/packages/OpenAI-DotNet/). Semantic Kernel includes tools to create prompts with different roles and maintain chat history, as well as many other features.
 
 Consider the following code example:
 

docs/ai/dotnet-ai-ecosystem.md

@@ -20,7 +20,7 @@ The .NET ecosystem provides many powerful tools, libraries, and services to deve
 
 ## Semantic Kernel for .NET
 
-If you just want to use the low-level services, such as <xref:Microsoft.Extensions.AI.IChatClient> and <xref:Microsoft.Extensions.AI.IEmbeddingGenerator`2>, you can reference the `Microsoft.Extensions.AI.Abstractions` package directly from your app. However, if you want to use higher-level, more opinionated approaches to AI, then you should use [Semantic Kernel](semantic-kernel-dotnet-overview.md).
+If you just want to use the low-level services, such as <xref:Microsoft.Extensions.AI.IChatClient> and <xref:Microsoft.Extensions.AI.IEmbeddingGenerator`2>, you can reference the `Microsoft.Extensions.AI.Abstractions` package directly from your app. However, if you want to use higher-level, more opinionated approaches to AI, then you should use [Semantic Kernel](/semantic-kernel/overview/).
 
 Semantic Kernel, which has a dependency on the `Microsoft.Extensions.AI.Abstractions` package, is an open-source library that enables AI integration and orchestration capabilities in your .NET apps. Its connectors provides concrete implementations of <xref:Microsoft.Extensions.AI.IChatClient> and <xref:Microsoft.Extensions.AI.IEmbeddingGenerator`2> for different services, including OpenAI, Amazon Bedrock, and Google Gemini.
 

docs/ai/get-started-mcp.md

@@ -96,4 +96,3 @@ Learn more about .NET and MCP using these resources:
 
 - [Overview of the .NET + AI ecosystem](dotnet-ai-ecosystem.md)
 - [Microsoft.Extensions.AI](/dotnet/ai/ai-extensions)
-- [Semantic Kernel overview for .NET](semantic-kernel-dotnet-overview.md)

docs/navigate/devops-testing/toc.yml

@@ -315,6 +315,8 @@ items:
         href: ../../core/deploying/single-file/overview.md
       - name: ReadyToRun
         href: ../../core/deploying/ready-to-run.md
+      - name: Publish .NET apps for macOS
+        href: ../../core/deploying/macos.md
       - name: Trim self-contained deployments
         items:
           - name: Overview and how-to