diff --git a/src/samples/theoretical-to-real/05-sync-speech-and-text.py b/src/samples/theoretical-to-real/05-sync-speech-and-text.py
index e38020cec..163cc75ce 100644
--- a/src/samples/theoretical-to-real/05-sync-speech-and-text.py
+++ b/src/samples/theoretical-to-real/05-sync-speech-and-text.py
@@ -21,8 +21,9 @@ async def main(room_url):
         meeting_duration_minutes,
     )
     transport.mic_enabled = True
-    transport.camera_enabled = True
     transport.mic_sample_rate = 16000
+    
+    transport.camera_enabled = True
     transport.camera_width = 1024
     transport.camera_height = 1024
 
diff --git a/src/samples/theoretical-to-real/09-bots-arguing.py b/src/samples/theoretical-to-real/09-bots-arguing.py
index 768eb3680..0390e9aaf 100644
--- a/src/samples/theoretical-to-real/09-bots-arguing.py
+++ b/src/samples/theoretical-to-real/09-bots-arguing.py
@@ -44,20 +44,14 @@ async def main(room_url:str):
             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))
+            await tts1.say(bot1_msg, transport.send_queue)
 
             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 tts2.say(bot2_msg, transport.send_queue)
 
     await asyncio.gather(transport.run(), argue())
 
diff --git a/src/samples/theoretical-to-real/09a-characters-arguing.py b/src/samples/theoretical-to-real/09a-characters-arguing.py
new file mode 100644
index 000000000..9c7c174d6
--- /dev/null
+++ b/src/samples/theoretical-to-real/09a-characters-arguing.py
@@ -0,0 +1,107 @@
+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.services.fal_ai_services import FalImageGenService
+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",
+        5,
+    )
+    transport.mic_enabled = True
+    transport.mic_sample_rate = 16000
+    transport.camera_enabled = True
+    transport.camera_width = 1024
+    transport.camera_height = 1024
+
+    llm = AzureLLMService()
+    tts1 = AzureTTSService()
+    tts2 = ElevenLabsTTSService()
+    dalle = FalImageGenService(image_size="1024x1024")
+
+    bot1_messages = [
+        {"role": "system", "content": "You are a stern librarian. 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 are a silly cat, and you strongly believe that a hot dog is not a sandwich. Debate this with the user, only responding with a few sentences."},
+    ]
+    
+    async def get_bot1_statement():
+        # 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})
+
+        all_audio = bytearray()
+        async for audio in tts1.run_tts(bot1_msg):
+            all_audio.extend(audio)
+
+        return all_audio
+    
+    async def get_bot2_statement():
+        # Run the LLMs synchronously for the back-and-forth
+        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})
+
+        all_audio = bytearray()
+        async for audio in tts2.run_tts(bot2_msg):
+            all_audio.extend(audio)
+
+        return all_audio
+
+    async def argue():
+        for i in range(1, 5):
+            print(f"In iteration {i}")
+
+            bot1_description = "An older woman dressed as a librarian, cartoon, serious, highly detailed, 8k"
+
+            (audio1, image_data1) = await asyncio.gather(
+                get_bot1_statement(), dalle.run_image_gen(bot1_description)
+            )
+            await transport.send_queue.put(
+                [
+                    QueueFrame(FrameType.IMAGE, image_data1[1]),
+                    QueueFrame(FrameType.AUDIO, audio1),
+                ]
+            )
+
+            bot2_description = "A cat dressed in a hot dog costume, cartoon, bright colors, funny, highly detailed, 8k"
+
+            (audio2, image_data2) = await asyncio.gather(
+                get_bot2_statement(), dalle.run_image_gen(bot2_description)
+            )
+            await transport.send_queue.put(
+                [
+                    QueueFrame(FrameType.IMAGE, image_data2[1]),
+                    QueueFrame(FrameType.AUDIO, audio2),
+                ]
+            )
+
+    await asyncio.gather(transport.run(), argue())
+
+
+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))