diff --git a/content/guides/box-ai/ai-tutorials/extract-metadata-structured.md b/content/guides/box-ai/ai-tutorials/extract-metadata-structured.md
index 11a739725..c84f6f93d 100644
--- a/content/guides/box-ai/ai-tutorials/extract-metadata-structured.md
+++ b/content/guides/box-ai/ai-tutorials/extract-metadata-structured.md
@@ -175,6 +175,69 @@ The response lists the fields included in the metadata template and their values
 }
 ```
 
+### Enhanced Extract Agent
+
+To start using the agent, you need:
+
+- A Box Platform App with enabled `Manage AI` scope. 
+- The app installed and enabled in your Box instance.
+- A file to test with.
+
+Calling an Enhanced Extract Agent works like calling the AI API - set the `type` to `AI Agent ID`, then string to the Enhanced Extract AI agent. 
+
+To extract data using the Enhanced Extract Agent you need:
+
+- Inline field definitions created with `agentCreateAiExtractStructuredMetadataTemplate` if your fields change frequently,
+- or a metadata template that contains the data about the fields you wish to extract, if your extracted fields stay the same. 
+
+See the full sample Python script that demonstrates how to call the Enhanced Extract Agent on a file using the Box AI SDK:
+
+```Python
+from box_sdk_gen import (
+    AiAgentReference,
+    AiAgentReferenceTypeField,
+    AiItemBase,
+    AiItemBaseTypeField,
+    BoxClient,
+    BoxCCGAuth,
+    CCGConfig,
+    CreateAiExtractStructuredMetadataTemplate
+)
+
+# Create your client credentials grant config from the developer console
+ccg_config = CCGConfig(
+    client_id="my_box_client_id", # replace with your client id
+    client_secret="my_box_client_secret", # replace with your client secret
+    user_id="my_box_user_id", # replace with the box user id that has access
+                              # to the file you are referencing
+)
+auth = BoxCCGAuth(config=ccg_config)
+client = BoxClient(auth=auth)
+# Create the agent config referencing the enhanced extract agent
+enhanced_extract_agent_config = AiAgentReference(
+    id="enhanced_extract_agent",
+    type=AiAgentReferenceTypeField.AI_AGENT_ID
+)
+# Use the Box SDK to call the extract_structured endpoint
+box_ai_response = client.ai.create_ai_extract_structured(
+    # Create the items array containing the file information to extract from
+    items=[
+        AiItemBase(
+            id="my_box_file_id", # replace with the file id
+            type=AiItemBaseTypeField.FILE
+        )
+    ],
+    # Reference the Box Metadata template 
+    metadata_template=CreateAiExtractStructuredMetadataTemplate(
+        template_key="InvoicePO",
+        scope="enterprise"
+    ),
+    # Attach the agent config you created earlier
+    ai_agent=enhanced_extract_agent_config,
+)
+print(f"box_ai_response: {box_ai_response.answer}")
+```
+
 [prereq]: g://box-ai/ai-tutorials/prerequisites
 [agent]: e://get_ai_agent_default
 [model-param]: r://ai_agent_text_gen#param_basic_gen_model
diff --git a/content/guides/box-ai/index.md b/content/guides/box-ai/index.md
index b771daedf..fb2f07935 100644
--- a/content/guides/box-ai/index.md
+++ b/content/guides/box-ai/index.md
@@ -74,9 +74,19 @@ For details, see [Box AI for Notes][boxainotes].
 
 The [`POST /2.0/ai/extract`][extract] and [`POST /2.0/ai/extract_structured`][extract-structured] endpoints allow you to extract data from the provided input and return them in a form of key-value pairs.
 
-* Use the `extract_structured` endpoint to extract data according to a pre-defined structure obtained from the metadata template, or a set of fields.
+* Use the `extract_structured` endpoint to extract data according to a pre-defined structure obtained from the metadata template, or a set of fields. Use it for shorter documents
+	* Use the Enhanced Extract Agent for long, complex documents
 * Use the `extract` endpoint to extract data from a file using a prompt that can include a stringified version of formats such as JSON or XML, or even plain text.
 
+#### Enhanced Extract Agent
+
+The Enhanced Extract Agent is designed to extract key-value pairs from complex documents. It converts the unstructured content into metadata for easier discovery and search. 
+
+You can [use the agent][eea-tutorial] through the Box AI API and turn unstructured data into structured output to use in production databases, third party systems, or analytics.
+
+The Enhanced Extract Agent uses Gemini 2.5 Pro to provide a chain-of-thought reasoning and returns both the extracted values and a reasoning behind
+its answer.
+
 ### Configuration overrides
 
 You can use the `ai_agent` parameter available in the Box AI API requests to override the default agent configuration and introduce your own custom settings.
@@ -125,4 +135,5 @@ better results for this language.
 [uar]: https://support.box.com/hc/en-us/articles/4415012490387-User-Activity-Report
 [agent-default]: g://box-ai/ai-agents/get-agent-default-config
 [extract]: e://post_ai_extract
-[extract-structured]: e://post_ai_extract_structured
\ No newline at end of file
+[extract-structured]: e://post_ai_extract_structured
+[eea-tutorial]: g://box-ai/ai-tutorials/extract-metadata-structured#
\ No newline at end of file