diff --git a/docs/guidebook/en/Get_Start/5.Creating_and_Using_Agent_Templates.md b/docs/guidebook/en/Get_Start/5.Creating_and_Using_Agent_Templates.md
index 604790ea..8c0121d9 100644
--- a/docs/guidebook/en/Get_Start/5.Creating_and_Using_Agent_Templates.md
+++ b/docs/guidebook/en/Get_Start/5.Creating_and_Using_Agent_Templates.md
@@ -14,8 +14,8 @@ In fact, the AU framework provides a considerable number of [agent templates](..
 
 You might have noticed that the standard template comprised of the three agents mentioned above includes Planning (Plan), Executing (Execute), and Expressing (Express). We refer to this as the PEE model. In complex scenarios, we hope this model can further self-evaluate and adjust, so we can add an evaluation node at the end. This is what the PEER framework refers to. PEER uses agents with different responsibilities—Plan, Execute, Express, and Review—to break down complex problems into manageable steps, execute the steps in sequence, and iteratively improve based on feedback, enhancing the performance of reasoning and analysis tasks. Typical use cases: Event interpretation, industry analysis.
 
-# PEER Agent Template
-Template Demo：[demo_startup_app_with_agent_templates](../../../../examples/sample_apps/peer_agent_app)
+# Example of Using PEER Agent Template
+This sample, [Peer Agent App](../../../../examples/sample_apps/peer_agent_app), show a multi-agent application built using the PEER Agent Template.
 
 ## Running Test
 You can run PEER demo in the [test file](../../../../examples/sample_apps/peer_agent_app/intelligence/test/peer_agent.py).
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diff --git a/docs/guidebook/zh/开始使用/5.沉淀与使用智能体模版.md b/docs/guidebook/zh/开始使用/5.沉淀与使用智能体模版.md
index 20150147..6b82e335 100644
--- a/docs/guidebook/zh/开始使用/5.沉淀与使用智能体模版.md
+++ b/docs/guidebook/zh/开始使用/5.沉淀与使用智能体模版.md
@@ -14,8 +14,8 @@
 
 细心的你可能发现上了上述3个智能体构成的标准模版，包含了策划（Plan）、执行（Execute）、表达（Express），我们将其称为PEE模式。在复杂的场景中，我们希望这种模式可以进一步自我评估与修正，于是我们可以在最后额外加入评估节点，这便是AU框架中提到的PEER模式。该pattern通过计划（Plan）、执行（Execute）、表达（Express）、评价（Review）四个不同职责的智能体，实现对复杂问题的多步拆解、分步执行，并基于评价反馈进行自主迭代，最终提升推理分析类任务表现。典型适用场景：事件解读、行业分析
 
-# PEER智能体模版
-样例地址：[demo_startup_app_with_agent_templates](../../../../examples/sample_apps/peer_agent_app)
+# PEER智能体模版使用样例
+在样例 [Peer Agent App](../../../../examples/sample_apps/peer_agent_app) 中，使用了PEER智能体模版构建了PEER多智能体应用。
 
 ## 运行测试
 您可以在[测试文件](../../../../examples/sample_apps/peer_agent_app/intelligence/test/peer_agent.py)中完整运行PEER案例。
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