diff --git a/metagpt/prompts/di/role_zero.py b/metagpt/prompts/di/role_zero.py
index b7b32b7f3..9dcc97b96 100644
--- a/metagpt/prompts/di/role_zero.py
+++ b/metagpt/prompts/di/role_zero.py
@@ -204,3 +204,8 @@ Thought: The request is vague and lacks specifics, requiring clarification on th
 Response Category: AMBIGUOUS.
 
 """
+
+QUICK_RESPONSE_SYSTEM_PROMPT = """
+{role_info}
+However, you MUST respond to the user message by yourself directly, DON'T ask your team members.
+"""
\ No newline at end of file
diff --git a/metagpt/roles/di/role_zero.py b/metagpt/roles/di/role_zero.py
index e287471f6..1fa128ee6 100644
--- a/metagpt/roles/di/role_zero.py
+++ b/metagpt/roles/di/role_zero.py
@@ -23,6 +23,7 @@ from metagpt.prompts.di.role_zero import (
     QUICK_THINK_PROMPT,
     QUICK_THINK_EXAMPLES,
     QUICK_THINK_SYSTEM_PROMPT,
+    QUICK_RESPONSE_SYSTEM_PROMPT,
     REGENERATE_PROMPT,
     ROLE_INSTRUCTION,
     SYSTEM_PROMPT,
@@ -270,12 +271,12 @@ class RoleZero(Role):
         # routing
         memory = self.get_memories(k=4)  # FIXME: A magic number for two rounds of Q&A
         context = self.llm.format_msg(memory + [UserMessage(content=QUICK_THINK_PROMPT)])
-        intent_result = await self.llm.aask(context, system_msgs=self.format_quick_system_prompt())
+        intent_result = await self.llm.aask(context, system_msgs=[self.format_quick_system_prompt()])
 
-        if "QUICK" in intent_result or "AMBIGUOUS " in intent_result:  # llm call with the original context
+        if "QUICK" in intent_result or "AMBIGUOUS" in intent_result:  # llm call with the original context
             async with ThoughtReporter(enable_llm_stream=True) as reporter:
                 await reporter.async_report({"type": "quick"})
-                answer = await self.llm.aask(self.llm.format_msg(memory))
+                answer = await self.llm.aask(self.llm.format_msg(memory), system_msgs=[QUICK_RESPONSE_SYSTEM_PROMPT.format(role_info=self._get_prefix())])
         elif "SEARCH" in intent_result:
             query = "\n".join(str(msg) for msg in memory)
             answer = await SearchEnhancedQA().run(query)