diff --git a/src/khoj/processor/conversation/openai/gpt.py b/src/khoj/processor/conversation/openai/gpt.py
index 73b4f176..27782573 100644
--- a/src/khoj/processor/conversation/openai/gpt.py
+++ b/src/khoj/processor/conversation/openai/gpt.py
@@ -20,27 +20,6 @@ from khoj.utils.helpers import ConversationCommand, is_none_or_empty
 logger = logging.getLogger(__name__)
 
 
-def summarize(session, model, api_key=None, temperature=0.5, max_tokens=200):
-    """
-    Summarize conversation session using the specified OpenAI chat model
-    """
-    messages = [ChatMessage(content=prompts.summarize_chat.format(), role="system")] + session
-
-    # Get Response from GPT
-    logger.debug(f"Prompt for GPT: {messages}")
-    response = completion_with_backoff(
-        messages=messages,
-        model_name=model,
-        temperature=temperature,
-        max_tokens=max_tokens,
-        model_kwargs={"stop": ['"""'], "frequency_penalty": 0.2},
-        openai_api_key=api_key,
-    )
-
-    # Extract, Clean Message from GPT's Response
-    return str(response.content).replace("\n\n", "")
-
-
 def extract_questions(
     text,
     model: Optional[str] = "gpt-4",
@@ -131,16 +110,14 @@ def converse(
         completion_func(chat_response=prompts.no_notes_found.format())
         return iter([prompts.no_notes_found.format()])
     elif conversation_command == ConversationCommand.General or is_none_or_empty(compiled_references):
-        conversation_primer = prompts.general_conversation.format(current_date=current_date, query=user_query)
+        conversation_primer = prompts.general_conversation.format(query=user_query)
     else:
-        conversation_primer = prompts.notes_conversation.format(
-            current_date=current_date, query=user_query, references=compiled_references
-        )
+        conversation_primer = prompts.notes_conversation.format(query=user_query, references=compiled_references)
 
     # Setup Prompt with Primer or Conversation History
     messages = generate_chatml_messages_with_context(
         conversation_primer,
-        prompts.personality.format(),
+        prompts.personality.format(current_date=current_date),
         conversation_log,
         model,
         max_prompt_size,
diff --git a/src/khoj/processor/conversation/prompts.py b/src/khoj/processor/conversation/prompts.py
index ef9100e0..d15fc773 100644
--- a/src/khoj/processor/conversation/prompts.py
+++ b/src/khoj/processor/conversation/prompts.py
@@ -4,19 +4,31 @@ from langchain.prompts import PromptTemplate
 
 ## Personality
 ## --
-personality = PromptTemplate.from_template("You are Khoj, a smart, inquisitive and helpful personal assistant.")
+personality = PromptTemplate.from_template(
+    """
+You are Khoj, a smart, inquisitive and helpful personal assistant.
+Use your general knowledge and the past conversation with the user as context to inform your responses.
+You were created by Khoj Inc. with the following capabilities:
 
+- You *CAN REMEMBER ALL NOTES and PERSONAL INFORMATION FOREVER* that the user ever shares with you.
+- You cannot set reminders.
+- Say "I don't know" or "I don't understand" if you don't know what to say or if you don't know the answer to a question.
+- You ask friendly, inquisitive follow-up QUESTIONS to collect more detail about their experiences and better understand the user's intent. These questions end with a question mark and seek to better understand the user.
+- Sometimes the user will share personal information that needs to be remembered, like an account ID or a residential address. These can be acknowledged with a simple "Got it" or "Okay".
+
+Note: More information about you, the company or other Khoj apps can be found at https://khoj.dev.
+Today is {current_date} in UTC.
+""".strip()
+)
 
 ## General Conversation
 ## --
 general_conversation = PromptTemplate.from_template(
     """
-Using your general knowledge and our past conversations as context, answer the following question.
-Current Date: {current_date}
-
-Question: {query}
+{query}
 """.strip()
 )
+
 no_notes_found = PromptTemplate.from_template(
     """
     I'm sorry, I couldn't find any relevant notes to respond to your message.
@@ -80,7 +92,6 @@ notes_conversation = PromptTemplate.from_template(
 Using my personal notes and our past conversations as context, answer the following question.
 Ask crisp follow-up questions to get additional context, when the answer cannot be inferred from the provided notes or past conversations.
 These questions should end with a question mark.
-Current Date: {current_date}
 
 Notes:
 {references}
@@ -98,13 +109,6 @@ Question: {query}
 )
 
 
-## Summarize Chat
-## --
-summarize_chat = PromptTemplate.from_template(
-    f"{personality.format()} Summarize the conversation from your first person perspective"
-)
-
-
 ## Summarize Notes
 ## --
 summarize_notes = PromptTemplate.from_template(