diff --git a/examples/multi_agent/sequential_workflow/demo_sequential_workflow_streaming.py b/examples/multi_agent/sequential_workflow/demo_sequential_workflow_streaming.py
index 6b6d104e..3905f44c 100644
--- a/examples/multi_agent/sequential_workflow/demo_sequential_workflow_streaming.py
+++ b/examples/multi_agent/sequential_workflow/demo_sequential_workflow_streaming.py
@@ -1,17 +1,11 @@
-from typing import Callable
 from swarms.structs.agent import Agent
 from swarms.structs.sequential_workflow import SequentialWorkflow
 
-def create_streaming_callback() -> Callable[[str, str, bool], None]:
-    """
-    Create a streaming callback that prints each chunk as it arrives, with no duplication or timestamps.
-    """
-    def streaming_callback(agent_name: str, chunk: str, is_final: bool):
-        if chunk:
-            print(chunk, end="", flush=True)
-        if is_final:
-            print()
-    return streaming_callback
+def streaming_callback(agent_name: str, chunk: str, is_final: bool):
+    if chunk:
+        print(chunk, end="", flush=True)
+    if is_final:
+        print()
 
 def create_agents():
     """Create specialized agents for the workflow."""
@@ -37,9 +31,6 @@ def create_agents():
     ]
 
 if __name__ == "__main__":
-    print("🎯 SEQUENTIAL WORKFLOW STREAMING DEMO")
-    print("=" * 50)
-
     agents = create_agents()
     workflow = SequentialWorkflow(
         id="research_analysis_workflow",
@@ -53,19 +44,7 @@ if __name__ == "__main__":
 
     task = "What are the latest advancements in AI?"
 
-    print(f"Task: {task.strip()}")
-
-    streaming_callback = create_streaming_callback()
-
-    print("\n🎬 EXECUTING WITH STREAMING CALLBACKS...")
-    print("Watch real-time agent outputs below:\n")
-
-    result = workflow.run(
+    workflow.run(
         task=task,
         streaming_callback=streaming_callback,
     )
-
-    print("\n🎉 EXECUTION COMPLETED!")
-    print("\n📊 FINAL RESULT:")
-    print("-" * 50)
-    print(result)
\ No newline at end of file