diff --git a/examples/crm/run.py b/examples/crm/run.py
new file mode 100644
index 0000000..643714d
--- /dev/null
+++ b/examples/crm/run.py
@@ -0,0 +1,86 @@
+from typing import List
+from enum import Enum
+from pydantic import BaseModel, Field
+
+import openai
+import instructor
+
+instructor.patch()
+
+
+class CRMSource(Enum):
+    personal = "personal"
+    business = "business"
+    work_contacts = "work_contacts"
+    all = "all"
+
+
+class CRMSearch(BaseModel):
+    """A CRM search query
+
+    The search description is a natural language description of the search query
+    the backend will use semantic search so use a range of phrases to describe the search
+    """
+
+    source: CRMSource
+    city_location: str = Field(
+        ..., description="City location used to match the desired customer profile"
+    )
+    search_description: str = Field(
+        ..., description="Search query used to match the desired customer profile"
+    )
+
+
+class CRMSearchQuery(BaseModel):
+    """
+    A set of CRM queries to be executed against a CRM system,
+    for large locations decompose into multiple queries of smaller locations
+    """
+
+    queries: List[CRMSearch]
+
+
+def query_crm(query: str) -> CRMSearchQuery:
+    queries = openai.ChatCompletion.create(
+        model="gpt-3.5-turbo",
+        response_model=CRMSearchQuery,
+        messages=[
+            {
+                "role": "system",
+                "content": "You are a world class CRM search career generator. You will take the user query and decompose it into a set of CRM queries queries.",
+            },
+            {"role": "user", "content": query},
+        ],
+    )
+    return queries
+
+
+if __name__ == "__main__":
+    query = "find me all the pottery businesses in San Francisco and my friends in the east coast big cities"
+    print(query_crm(query).model_dump_json(indent=2))
+    """
+    {
+    "queries": [
+        {
+        "source": "business",
+        "city_location": "San Francisco",
+        "search_description": "pottery businesses"
+        },
+        {
+        "source": "personal",
+        "city_location": "New York",
+        "search_description": "friends in New York"
+        },
+        {
+        "source": "personal",
+        "city_location": "Boston",
+        "search_description": "friends in Boston"
+        },
+        {
+        "source": "personal",
+        "city_location": "Philadelphia",
+        "search_description": "friends in Philadelphia"
+        }
+    ]
+    }
+"""