diff --git a/lollms/app.py b/lollms/app.py
index 5161085..4db51cd 100644
--- a/lollms/app.py
+++ b/lollms/app.py
@@ -188,11 +188,18 @@ class LollmsApplication(LoLLMsCom):
         summarized_chunks = []
         for chunk in chunks:
             prompt = "\n".join([
-                f"!@>system:",
-                "Analyze the following discussion chunk, focusing on the rank of each message to determine the relevance and quality of the information. Create a concise bullet-point summary of the key skills and important information contained in the high-ranking messages.",
-                "Ignore negatively-ranked messages and exclude any irrelevant or garbage content. Return only the bullet-point summary without any additional commentary or explanations:",
+                "!@>system:",
+                "Conduct an in-depth analysis of the provided discussion chunk, taking into account the AI-given ranks for each message. Your objective is to distill the essence of the discussion into actionable insights for future work. Proceed with the following instructions:",
+                "1. Review the messages and their corresponding ranks to determine the most relevant and high-quality contributions.",
+                "2. Create a bullet-point summary that encapsulates the key skills, knowledge, and crucial information from messages with positive ranks.",
+                "3. Extract lessons learned and best practices from the high-ranking messages that can be applied to enhance future projects.",
+                "4. Identify any mentioned strategies or approaches that should be avoided, as indicated by their negative impact or low rank, to prevent future missteps.",
+                "5. Exclude any messages with negative ranks and any content that is not pertinent or constructive to the analysis.",
+                "6. Compile your findings into a succinct bullet-point list, focusing exclusively on the insights gained, without extraneous commentary.",
+                "7. Make sure the summary is clear, to the point, and serves as an effective reference for the team's future endeavors.",
                 f"{chunk}",
                 "!@>analysis:\n"])
+
             max_tokens = self.config.ctx_size - self.model.get_nb_tokens(prompt)
             if self.config.debug:
                 ASCIIColors.yellow(prompt)