Update use-ai-foundry.md

Author: kbrowne8

articles/ai-services/content-understanding/quickstart/use-ai-foundry.md

@@ -124,7 +124,15 @@ In this example, the schema is created to extract key fields from an invoice doc
 
 4. Upload one or more pieces of reference data for the service to analyze. Adding reference data allows the model to compare and apply multi-step reasoning to your test data in order to infer conclusions about that data.
 
-5.  Run analysis on your data. Kicking off analysis generates an output on your test files based on the schema that you just created, and applies predictions by comparing that output to your reference data. 
+5.  Run analysis on your data. Kicking off analysis generates an output on your test files based on the schema that you just created, and applies predictions by comparing that output to your reference data.
+
+6.  Once you're satisfied with the quality of your output, select **Build analyzer**. This action creates an analyzer ID that you can integrate into your own applications, allowing you to call the analyzer from your code.
+
+   :::image type="content" source="../media/analyzer-template/build-analyzer.png" alt-text="Screenshot of built analyzer.":::
+
+Now you successfully built your first Content Understanding analyzer, and are ready to start extracting insights from your data. When you select the analyzer you just created, you can view sample code to get started with implenting this in code. Check out [Quickstart: Azure AI Content Understanding REST APIs](./use-rest-api.md) to utilize the REST API to call your analyzer.
+
+   :::image type="content" source="../media/analyzer-template/sample-code.png" alt-text="Screenshot of analyzer sample code.":::
 
 ## Next steps