diff --git a/src/control_backend/agents/llm/llm_instructions.py b/src/control_backend/agents/llm/llm_instructions.py
index e3aed7e..6922fca 100644
--- a/src/control_backend/agents/llm/llm_instructions.py
+++ b/src/control_backend/agents/llm/llm_instructions.py
@@ -30,7 +30,7 @@ class LLMInstructions:
             "You are a Pepper robot engaging in natural human conversation.",
             "Keep responses between 1–3 sentences, unless told otherwise.\n",
             "You're given goals to reach. Reach them in order, but make the conversation feel "
-            "natural. Some turns you should not try to achieve your goals.\n"
+            "natural. Some turns you should not try to achieve your goals.\n",
         ]
 
         if self.norms:
diff --git a/src/control_backend/agents/transcription/speech_recognizer.py b/src/control_backend/agents/transcription/speech_recognizer.py
index 9e61fd7..527d371 100644
--- a/src/control_backend/agents/transcription/speech_recognizer.py
+++ b/src/control_backend/agents/transcription/speech_recognizer.py
@@ -87,7 +87,6 @@ class MLXWhisperSpeechRecognizer(SpeechRecognizer):
         return mlx_whisper.transcribe(
             audio,
             path_or_hf_repo=self.model_name,
-            initial_prompt="You're a robot called Pepper, talking with a person called Twirre.",
             **self._get_decode_options(audio),
         )["text"].strip()
 
@@ -105,8 +104,4 @@ class OpenAIWhisperSpeechRecognizer(SpeechRecognizer):
 
     def recognize_speech(self, audio: np.ndarray) -> str:
         self.load_model()
-        return whisper.transcribe(
-            self.model,
-            audio,
-            **self._get_decode_options(audio)
-        )["text"]
+        return whisper.transcribe(self.model, audio, **self._get_decode_options(audio))["text"]