diff --git a/agent/__pycache__/manager_agent.cpython-39.pyc b/agent/__pycache__/manager_agent.cpython-39.pyc
index f658ad2..4c3c9eb 100644
Binary files a/agent/__pycache__/manager_agent.cpython-39.pyc and b/agent/__pycache__/manager_agent.cpython-39.pyc differ
diff --git a/agent/manager_agent.py b/agent/manager_agent.py
index 4cc7c8c..dcd9b67 100644
--- a/agent/manager_agent.py
+++ b/agent/manager_agent.py
@@ -12,16 +12,15 @@ class ManagerAgent(AgentBase):
         # todo 待加入 PDCA循环规则
         # 利用 smart 原则对目标进行评估
 
-        for k,i in object.five_w_two_h.content.items():
-            r = {'是否具备': 'no'}
+        for i in object.five_w_two_h.content:
             content = object.content
-            while r["是否具备"]=="no" :
-                prompt = f"这是一个任务描述:'{content}'。你觉得这个任务描述具备{i['descriptions']}吗？如果具备返回格式如下：{{'是否具备': 'yes'}}，如果不具备返回格式如下：{{'是否具备': 'no', '原因': '返回具体原因即可'}}"
+            call_openai_res = {'isOk': 'no', 'content': ''}
+            while call_openai_res["isOk"]=="no" :
+                prompt = f"这是一个任务描述:'{content}'。你觉得这个任务描述具备{i['descriptions']}吗？如果具备返回格式如下：{{\"isOk\":\"yes\", \"content\":\"提炼出任务的{i['descriptions']}\"}}，如果不具备返回格式如下：{{\"isOk\":\"no\",\"content\":\"返回不具备的原因并给出完善建议\"}}"
                 self.logger.info(prompt)
-                call_openai = self.call_gpt(prompt)
-                self.logger.info(call_openai)
-                r = json.loads(call_openai)
-                if r["是否具备"]=="no":
-                    content  = input(f"您的任务描述不清楚，{r['原因']}：")            
-            i['content'] = content
+                call_openai_res = json.loads(self.call_gpt(prompt))
+                self.logger.info(call_openai_res)
+                if call_openai_res["isOk"]=="no":
+                    content  = content + f"，{i['target']}：" +input(f"【警告】{call_openai_res['content']}\n请您补充信息：")
+            i['content'] = call_openai_res["content"]
         self.logger.info(str(object.five_w_two_h.content))
diff --git a/main.py b/main.py
index 8b99bd0..7fc986f 100644
--- a/main.py
+++ b/main.py
@@ -9,7 +9,7 @@ class AutoMate:
     
     def rule_define(self):
         # o_kr = OKR_Object(input("请输入任务: "))
-        o_kr = OKR_Object("对比一下copilot和curson谁更好用")
+        o_kr = OKR_Object("对比一下copilot和curson谁更好用，比较提示词数量、安装易用性，给出不少于100字的文章")
         ManagerAgent().optimization_Object(o_kr)
 
 
diff --git a/work_principle/__pycache__/five_w_two_h.cpython-39.pyc b/work_principle/__pycache__/five_w_two_h.cpython-39.pyc
index 8f8a012..400483d 100644
Binary files a/work_principle/__pycache__/five_w_two_h.cpython-39.pyc and b/work_principle/__pycache__/five_w_two_h.cpython-39.pyc differ
diff --git a/work_principle/five_w_two_h.py b/work_principle/five_w_two_h.py
index 381f80a..bacc840 100644
--- a/work_principle/five_w_two_h.py
+++ b/work_principle/five_w_two_h.py
@@ -1,8 +1,9 @@
 class FiveWTwoH:
     def __init__(self) -> None:
-        self.content = {
-            "what": {"content": "", "descriptions": "任务主体、动作、数量"},
-            "why": {"content": "", "descriptions": "为什么要做这个任务"},
+        self.content = [
+            {"target": "任务主体", "content": "", "descriptions": "任务主体"},
+            {"target": "执行动作", "content": "", "descriptions": "执行动作"},
+            {"target": "任务背景", "content": "", "descriptions": "任务背景或原因"},
             # "how": {"content": "", "descriptions": "这个任务如何做", "example": ["通过线上直播发布会，合作伙伴渠道和社交媒体宣传", "通过增加人员、改善流程和引入新的服务软件"]},
-            "how_much": {"content": "", "descriptions": "这个任务要做成什么程度"}
-        }   
+            {"target": "任务完成程度", "content": "", "descriptions": "任务要做到什么程度，给出具体的几个要求"}
+        ]