diff --git a/lib/text_chunker.py b/lib/text_chunker.py
index 93c417e..0797aa3 100644
--- a/lib/text_chunker.py
+++ b/lib/text_chunker.py
@@ -8,12 +8,12 @@ class CLIPTextChunker:
     Using a conservative limit of 70 tokens to account for special tokens.
     """
 
-    def __init__(self, max_tokens: int = 40):
+    def __init__(self, max_tokens: int = 25):
         """
         Initialize the text chunker.
 
         Args:
-            max_tokens (int): Maximum number of tokens per chunk (default: 40 for CLIP, being very conservative)
+            max_tokens (int): Maximum number of tokens per chunk (default: 25 for CLIP, being ultra conservative)
         """
         self.max_tokens = max_tokens
         self._tokenizer = None
@@ -43,8 +43,8 @@ class CLIPTextChunker:
         """
         if self.tokenizer is None:
             # Fallback to character count if tokenizer not available
-            # Use a very conservative estimate: ~0.6 characters per token for CLIP
-            return int(len(text) * 0.6)
+            # Use an ultra conservative estimate: ~0.3 characters per token for CLIP
+            return int(len(text) * 0.3)
 
         tokens = self.tokenizer(
             text,
@@ -155,14 +155,14 @@ class CLIPTextChunker:
         # Fallback to regular chunking
         return self.chunk_text(text)
 
-def chunk_prompt_for_clip(prompt: str, max_tokens: int = 40) -> List[str]:
+def chunk_prompt_for_clip(prompt: str, max_tokens: int = 25) -> List[str]:
     """
     Convenience function to chunk a prompt for CLIP processing.
-    Uses a conservative 40 token limit to be safe.
+    Uses a conservative 25 token limit to be safe.
 
     Args:
         prompt (str): The prompt to chunk
-        max_tokens (int): Maximum tokens per chunk (default: 40 for safety)
+        max_tokens (int): Maximum tokens per chunk (default: 25 for safety)
 
     Returns:
         List[str]: List of prompt chunks