diff --git a/podcastfy/content_generator.py b/podcastfy/content_generator.py
index f3cfd91..aa1454d 100644
--- a/podcastfy/content_generator.py
+++ b/podcastfy/content_generator.py
@@ -14,7 +14,7 @@
 from langchain_community.chat_models import ChatLiteLLM
 from langchain_google_genai import ChatGoogleGenerativeAI
 from langchain_community.llms.llamafile import Llamafile
-from langchain_core.prompts import ChatPromptTemplate
+from langchain_core.prompts import ChatPromptTemplate, PromptTemplate
 from langchain_core.output_parsers import StrOutputParser
 from langchain import hub
 from podcastfy.utils.config_conversation import load_conversation_config
@@ -503,6 +503,7 @@ def clean(self,
         # Then apply additional long-form specific cleaning
         return self._clean_transcript_response(standard_clean, config)
     
+    
     def _clean_transcript_response(self, transcript: str, config: Dict[str, Any]) -> str:
         """
         Clean transcript using a two-step process with LLM-based cleaning.
@@ -522,7 +523,40 @@ def _clean_transcript_response(self, transcript: str, config: Dict[str, Any]) ->
         """
         logger.debug("Starting transcript cleaning process")
 
-        final_transcript = self._fix_alternating_tags(transcript)
+        # Run rewriting chain
+        llm = self.llm
+
+        analysis_prompt = PromptTemplate(
+            input_variables=["transcript"],
+            template=config.get("analysis_prompt_template", "You are a podcast editor. Analyze this podcast transcript and identify duplicated/repeated lines and recommendations to improve flow. Do not remove too many facts or add any new facts: \n\n{transcript} \n\nAnalysis (bullet-points, with line numbers referring to problematic lines.):")
+        )
+        analysis_chain = analysis_prompt | llm | StrOutputParser()
+
+        rewrite_prompt = PromptTemplate(
+            input_variables=["transcript", "analysis"],
+            template=config.get("rewrite_prompt_template", "Rewrite the podcast transcript by applying only the following recommendations. Refrain from shortening the transcript too much.\n\nRecommendations: \n\n{analysis}\n\nOriginal Transcript: \n\n{transcript}\n\nRewritten Transcript:")
+        )
+        rewrite_chain = rewrite_prompt | llm | StrOutputParser()
+
+        try:
+            logger.debug("Executing analysis chain")
+            analysis = analysis_chain.invoke({"transcript": transcript})
+            logger.debug(f"Successfully analyzed transcript: \n\n{analysis}")
+
+            logger.debug("Executing rewriting chain")
+            rewritten_response = rewrite_chain.invoke({"analysis": analysis, "transcript": transcript})
+            if not rewritten_response:
+                logger.warning("Rewriting chain returned empty response")
+                # Fall back to original
+                rewritten_response = transcript
+            logger.debug("Successfully rewrote transcript")
+            logger.debug(f"Successfully rewrote transcript, BEFORE = \n\n{transcript}")
+            logger.debug(f"Successfully rewrote transcript, AFTER = \n\n{rewritten_response}")
+        except Exception as e:
+            logger.error(f"Error in rewriting chain: {str(e)}")
+            rewritten_response = transcript  # Fall back to original
+            
+        final_transcript = self._fix_alternating_tags(rewritten_response)
         
         logger.debug("Completed transcript cleaning process")