diff --git a/examples/ecommerce/runner.py b/examples/ecommerce/runner.py
index 0a3533fc..e9b4ef2d 100644
--- a/examples/ecommerce/runner.py
+++ b/examples/ecommerce/runner.py
@@ -60,7 +60,7 @@ def setup_logging():
 shoe_conversation = [
     "SalesBot: Hi, I'm Allbirds Assistant! How can I help you today?",
     "John: Hi, I'm looking for a new pair of shoes.",
-    'SalesBot: Of course! What kinde of material are you looking for?',
+    'SalesBot: Of course! What kind of material are you looking for?',
     "John: I'm looking for shoes made out of wool",
     """SalesBot: We have just what you are looking for, how do you like our Men's SuperLight Wool Runners 
     - Dark Grey (Medium Grey Sole)? They use the SuperLight Foam technology.""",
diff --git a/mcp_server/tests/test_async_operations.py b/mcp_server/tests/test_async_operations.py
index 66b03175..bc8974c4 100644
--- a/mcp_server/tests/test_async_operations.py
+++ b/mcp_server/tests/test_async_operations.py
@@ -244,7 +244,7 @@ class TestAsyncErrorHandling:
     async def test_timeout_recovery(self):
         """Test recovery from operation timeouts."""
         async with graphiti_test_client() as (session, group_id):
-            # Create a very large episode that might timeout
+            # Create a very large episode that might time out
             large_content = 'x' * 1000000  # 1MB of data
 
             with contextlib.suppress(asyncio.TimeoutError):
diff --git a/mcp_server/tests/test_comprehensive_integration.py b/mcp_server/tests/test_comprehensive_integration.py
index 5e0eaf49..da1ed7e6 100644
--- a/mcp_server/tests/test_comprehensive_integration.py
+++ b/mcp_server/tests/test_comprehensive_integration.py
@@ -464,7 +464,7 @@ class TestErrorHandling:
     async def test_timeout_handling(self):
         """Test timeout handling for long operations."""
         async with GraphitiTestClient() as client:
-            # Simulate a very large episode that might timeout
+            # Simulate a very large episode that might time out
             large_text = 'Large document content. ' * 10000
 
             result, metric = await client.call_tool_with_metrics(