diff --git a/docs/cookbook/extract_event_details.md b/docs/cookbook/extract_event_details.md
new file mode 100644
index 000000000..0f87d9586
--- /dev/null
+++ b/docs/cookbook/extract_event_details.md
@@ -0,0 +1,34 @@
+This recipe demonstrates how to use the `outlines` library to extract structured event details from a text message.
+We will extract the title, location, and start date and time from messages like the following:
+
+```plaintext
+Hello Kitty, my grandmother will be here, I think it's better to postpone
+our appointment to review math lessons to next Monday at 2pm at the same
+place, 3 avenue des tanneurs, one hour will be enough see you 😘
+```
+
+Let see how to extract the event details from the message with the MLX
+library dedicated to  Apple Silicon processor  (M series).
+
+```python
+--8<-- "docs/cookbook/extract_event_details.py"
+```
+
+The output will be:
+
+```plaintext
+Today: Saturday 16 November 2024 and it's 10:55
+```
+
+and the extracted event information will be:
+
+```json
+{
+  "title":"Math Review",
+  "location":"3 avenue des tanneurs",
+  "start":"2024-11-22T14:00:00Z"
+}
+```
+
+
+To find out more about this use case, we recommend the project developped by [Joseph Rudoler](https://x.com/JRudoler) the [ICS Generator](https://github.com/jrudoler/ics-generator)
diff --git a/docs/cookbook/extract_event_details.py b/docs/cookbook/extract_event_details.py
new file mode 100644
index 000000000..b51f8d921
--- /dev/null
+++ b/docs/cookbook/extract_event_details.py
@@ -0,0 +1,46 @@
+from datetime import datetime
+
+from pydantic import BaseModel, Field
+
+from outlines import generate, models
+
+# Load the model
+model = models.mlxlm("mlx-community/Hermes-3-Llama-3.1-8B-8bit")
+
+
+# Define the event schema using Pydantic
+class Event(BaseModel):
+    title: str = Field(description="title of the event")
+    location: str
+    start: datetime = Field(
+        default=None, description="date of the event if available in iso format"
+    )
+
+
+# Get the current date and time
+now = datetime.now().strftime("%A %d %B %Y and it's %H:%M")
+
+# Define the prompt
+prompt = f"""
+Today's date and time are {now}
+Given a user message, extract information of the event like date and time in iso format, location and title.
+If the given date is relative, think step by step to find the right date.
+Here is the message:
+"""
+
+# Sample message
+message = """Hello Kitty, my grandmother will be here , I think it's better to postpone our
+appointment to review math lessons to next Friday at 2pm at the same place, 3 avenue des tanneurs, I think that one hour will be enough
+see you 😘 """
+
+# Create the generator
+generator = generate.json(model, Event)
+
+# Extract the event information
+event = generator(prompt + message)
+
+# Print the current date and time
+print(f"Today: {now}")
+
+# Print the extracted event information in JSON format
+print(event.json())
diff --git a/mkdocs.yml b/mkdocs.yml
index 7d48bf392..4888309b9 100644
--- a/mkdocs.yml
+++ b/mkdocs.yml
@@ -74,6 +74,7 @@ markdown_extensions:
   - pymdownx.emoji:
       emoji_index: !!python/name:material.extensions.emoji.twemoji
       emoji_generator: !!python/name:material.extensions.emoji.to_svg
+  - pymdownx.snippets:
 
 
 extra_css:
@@ -123,6 +124,7 @@ nav:
       - Structured Generation from PDFs: cookbook/read-pdfs.md
       - Earnings reports to CSV: cookbook/earnings-reports.md
       - Digitizing receipts with vision models: cookbook/receipt-digitization.md
+      - Extract events details from text: cookbook/extract_event_details.md
       - Run on the cloud:
           - BentoML: cookbook/deploy-using-bentoml.md
           - Cerebrium: cookbook/deploy-using-cerebrium.md