diff --git a/src/samples/theoretical-to-real/08-bots-arguing.py b/src/samples/theoretical-to-real/08-bots-arguing.py
new file mode 100644
index 000000000..c1ea6d63c
--- /dev/null
+++ b/src/samples/theoretical-to-real/08-bots-arguing.py
@@ -0,0 +1,73 @@
+import argparse
+import asyncio
+import requests
+import time
+import urllib.parse
+
+from dailyai.services.daily_transport_service import DailyTransportService
+from dailyai.services.azure_ai_services import AzureLLMService, AzureTTSService
+from dailyai.services.elevenlabs_ai_service import ElevenLabsTTSService
+from dailyai.queue_frame import QueueFrame, FrameType
+
+async def main(room_url:str):
+    global transport
+    global llm
+    global tts
+
+    transport = DailyTransportService(
+        room_url,
+        None,
+        "Respond bot",
+        1,
+    )
+    transport.mic_enabled = True
+    transport.mic_sample_rate = 16000
+    transport.camera_enabled = False
+
+    llm = AzureLLMService()
+    tts1 = AzureTTSService()
+    tts2 = ElevenLabsTTSService()
+
+    async def handle_transcriptions():
+        bot1_messages = [
+            {"role": "system", "content": "You strongly believe that a hot dog is a sandwich. Start by stating this fact in a few sentences, then be prepared to debate this with the user. Your responses should only be a few sentences long."},
+        ]
+        bot2_messages = [
+            {"role": "system", "content": "You strongly believe that a hot dog is not a sandwich. Debate this with the user, only responding with a few sentences."},
+        ]
+
+        for i in range(1, 5):
+            print(f"In iteration {i}")
+            # Run the LLMs synchronously for the back-and-forth
+            bot1_msg = await llm.run_llm(bot1_messages)
+            print(f"bot1_msg: {bot1_msg}")
+            bot1_messages.append({"role": "assistant", "content": bot1_msg})
+            bot2_messages.append({"role": "user", "content": bot1_msg})
+
+            audio_generator1 = tts1.run_tts(bot1_msg)
+
+            async for audio in audio_generator1:
+                await transport.send_queue.put(QueueFrame(FrameType.AUDIO, audio))
+
+            bot2_msg = await llm.run_llm(bot2_messages)
+            print(f"bot2_msg: {bot2_msg}")
+            bot2_messages.append({"role": "assistant", "content": bot2_msg})
+            bot1_messages.append({"role": "user", "content": bot2_msg})
+
+            audio_generator2 = tts2.run_tts(bot2_msg)
+
+            async for audio in audio_generator2:
+                await transport.send_queue.put(QueueFrame(FrameType.AUDIO, audio))
+
+    await asyncio.gather(transport.run(), handle_transcriptions())
+
+
+if __name__ == "__main__":
+    parser = argparse.ArgumentParser(description="Simple Daily Bot Sample")
+    parser.add_argument(
+        "-u", "--url", type=str, required=True, help="URL of the Daily room to join"
+    )
+
+    args, unknown = parser.parse_known_args()
+
+    asyncio.run(main(args.url))