diff --git a/demos/example.py b/demos/agno_agent.py
similarity index 100%
rename from demos/example.py
rename to demos/agno_agent.py
diff --git a/demos/agno_workflow.py b/demos/agno_workflow.py
new file mode 100644
index 0000000..6530069
--- /dev/null
+++ b/demos/agno_workflow.py
@@ -0,0 +1,62 @@
+import asyncio
+from agno.agent import Agent
+from agno.models.ollama import Ollama
+from agno.run.workflow import WorkflowRunEvent
+from agno.workflow.step import Step
+from agno.workflow.steps import Steps
+from agno.workflow.types import StepOutput, StepInput
+from agno.workflow.parallel import Parallel
+from agno.workflow.workflow import Workflow
+
+
+def build_agent(instructions: str) -> Agent:
+    return Agent(
+        instructions=instructions,
+        model=Ollama(id='qwen3:1.7b')
+    )
+
+def remove_think(text: str) -> str:
+    thinking = text.rfind("</think>")
+    if thinking != -1:
+        return text[thinking + len("</think>"):].strip()
+    return text.strip()
+
+def combine_steps_output(inputs: StepInput) -> StepOutput:
+    parallel = inputs.get_step_content("parallel")
+    if not isinstance(parallel, dict): return StepOutput()
+
+    lang = remove_think(parallel.get("Lang", ""))
+    answer = remove_think(parallel.get("Predict", ""))
+    content = f"Language: {lang}\nPhrase: {answer}"
+    return StepOutput(content=content)
+
+async def main():
+    query = "Come posso fare per dormire meglio?"
+
+    s1 = Step(name="Translate", agent=build_agent(instructions="Transform in English the user query. Respond only with the summarized query in English."))
+    s2 = Step(name="Predict", agent=build_agent(instructions="You will be given a question in English. Provide a summarized answer in a concise manner. Ouput ONLY the answer."))
+
+    step_a = Step(name="Lang", agent=build_agent(instructions="Detect the language and output ONLY the language code. Es: 'en' for English, 'it' for Italian, 'ja' for Japanese."))
+    step_b = Steps(name="Answer", steps=[s1, s2])
+    step_c = Step(name="Combine", executor=combine_steps_output)
+    step_f = Step(name="Final", agent=build_agent(instructions="Translate the phrase in the language code provided. Respond only with the translated answer."))
+
+    wf = Workflow(name="Pipeline Workflow", steps=[
+        Parallel(step_a, step_b, name="parallel"),  # type: ignore
+        step_c,
+        step_f
+    ])
+
+    result = ""
+    async for event in await wf.arun(query, stream=True, stream_intermediate_steps=True):
+        content = event.content if hasattr(event, 'content') and type(event.content) == str else "" # type: ignore
+
+        if event.event in [WorkflowRunEvent.step_completed]:
+            print(f"{str(event.event)} --- {event.step_name} --- {remove_think(content).replace('\n', '\\n')[:80]}") # type: ignore
+        if event.event in [WorkflowRunEvent.workflow_completed]:
+            result = remove_think(content)
+    print(f"\nFinal result: {result}")
+
+
+if __name__ == "__main__":
+    asyncio.run(main())