diff --git a/backend/services/ollama_service.py b/backend/services/ollama_service.py
index ffdb377..e969a5e 100644
--- a/backend/services/ollama_service.py
+++ b/backend/services/ollama_service.py
@@ -146,19 +146,26 @@ class OllamaService:
         Returns:
             Formatted prompt string
         """
-        prompt = f"""Analyze the following text and identify all distinct speakers or characters.
-Return ONLY a JSON object with a "speakers" array containing the names of speakers.
-If there are no clear speakers, return {{"speakers": ["Narrator"]}}.
+        prompt = f"""Analyze the following text and identify all distinct speakers or characters who need voice assignments.
+
+CRITICAL: Look for TWO types of content:
+1. NARRATIVE TEXT: Descriptions, scene-setting, "he said", "she thought", etc. → This needs "Narrator"
+2. CHARACTER DIALOGUE: Direct speech by characters → These need character names
+
+You MUST include "Narrator" if there is ANY narrative text, descriptions, or non-dialogue content.
+
+Return ONLY a JSON object with a "speakers" array.
 
 Examples:
-- For dialogue with character names, list those characters
-- For narrative text, use "Narrator"
-- For mixed content, include both characters and "Narrator" if appropriate
+- Text: "Alice said hello. Bob waved back." → {{"speakers": ["Narrator", "Alice", "Bob"]}}
+- Text: "Once upon a time, there was a princess." → {{"speakers": ["Narrator"]}}
+- Text: "The wizard spoke. 'I see danger,' he warned." → {{"speakers": ["Narrator"]}}
+- Text: "Alice: Hello! Bob: Hi there!" → {{"speakers": ["Alice", "Bob"]}}
 
 Text to analyze:
 {text}
 
-Return format: {{"speakers": ["Speaker1", "Speaker2", ...]}}
+Return format: {{"speakers": ["Narrator", "Character1", "Character2", ...]}}
 """
         return prompt