diff --git a/python/packages/orchestrations/agent_framework_orchestrations/_group_chat.py b/python/packages/orchestrations/agent_framework_orchestrations/_group_chat.py
index 85750aeb14..6d0059c1aa 100644
--- a/python/packages/orchestrations/agent_framework_orchestrations/_group_chat.py
+++ b/python/packages/orchestrations/agent_framework_orchestrations/_group_chat.py
@@ -147,21 +147,26 @@ def __init__(
         Example:
         .. code-block:: python
 
-            from agent_framework_orchestrations import GroupChatOrchestrator
+            from agent_framework import Agent
+            from agent_framework_orchestrations import GroupChatBuilder, GroupChatState
 
 
-            async def round_robin_selector(state: GroupChatState) -> str:
+            def round_robin_selector(state: GroupChatState) -> str:
                 # Simple round-robin selection among participants
-                return state.participants[state.current_round % len(state.participants)]
+                names = list(state.participants)
+                return names[state.current_round % len(names)]
 
 
-            orchestrator = GroupChatOrchestrator(
-                id="group_chat_orchestrator_1",
+            # GroupChatBuilder creates a GroupChatOrchestrator when given a selection_func.
+            workflow = GroupChatBuilder(
+                participants=[
+                    Agent(client=client, name="researcher"),
+                    Agent(client=client, name="writer"),
+                ],
                 selection_func=round_robin_selector,
-                participants=["researcher", "writer"],
-                name="Coordinator",
+                orchestrator_name="Coordinator",
                 max_rounds=10,
-            )
+            ).build()
         """
         super().__init__(
             id,
@@ -895,10 +900,10 @@ def with_checkpointing(self, checkpoint_storage: CheckpointStorage) -> GroupChat
 
         .. code-block:: python
 
-            from agent_framework import MemoryCheckpointStorage
+            from agent_framework import InMemoryCheckpointStorage
             from agent_framework_orchestrations import GroupChatBuilder
 
-            storage = MemoryCheckpointStorage()
+            storage = InMemoryCheckpointStorage()
             workflow = (
                 GroupChatBuilder(
                     participants=[agent1, agent2],