diff --git a/ai_knowledge_base_v2/apps/backend/app/services/chat_service.py b/ai_knowledge_base_v2/apps/backend/app/services/chat_service.py
index 7d71a7c..7a320ba 100644
--- a/ai_knowledge_base_v2/apps/backend/app/services/chat_service.py
+++ b/ai_knowledge_base_v2/apps/backend/app/services/chat_service.py
@@ -226,7 +226,10 @@ class ChatService:
     @staticmethod
     def _ensure_quota(user: User) -> None:
         if user.daily_chat_used >= user.daily_chat_limit:
-            raise HTTPException(status_code=status.HTTP_403_FORBIDDEN, detail="今日提问次数已用完")
+            raise HTTPException(
+                status_code=status.HTTP_403_FORBIDDEN,
+                detail="今天的陪伴对话已经比较多了，建议先消化当前回答和功课；如需继续使用，可以联系运营老师确认权益。",
+            )
 
     @staticmethod
     def _ensure_topic_quota(db: Session, user: User, session: ChatSession, entitlement) -> None:
diff --git a/ai_knowledge_base_v2/apps/user-client/src/components/SessionQuota.vue b/ai_knowledge_base_v2/apps/user-client/src/components/SessionQuota.vue
index e9c1693..b0145ac 100644
--- a/ai_knowledge_base_v2/apps/user-client/src/components/SessionQuota.vue
+++ b/ai_knowledge_base_v2/apps/user-client/src/components/SessionQuota.vue
@@ -24,8 +24,18 @@ const hasEntitlement = computed(() => Boolean(props.entitlement));
 const displayUsed = computed(() => props.entitlement?.monthlyTopicUsed ?? props.used);
 const displayLimit = computed(() => props.entitlement?.monthlyTopicLimit ?? props.limit);
 const exhausted = computed(() => displayLimit.value !== null && displayLimit.value > 0 && displayUsed.value >= displayLimit.value);
-const title = computed(() => props.entitlement ? "本月主题额度" : "当前会话额度");
-const limitText = computed(() => displayLimit.value === null ? "不限" : String(displayLimit.value));
+const nearLimit = computed(() => displayLimit.value !== null && displayLimit.value > 0 && displayUsed.value / displayLimit.value >= 0.8);
+const title = computed(() => props.entitlement ? "本月主题使用情况" : "今日陪伴使用情况");
+const usageText = computed(() => {
+  if (displayLimit.value === null) return props.entitlement ? "本月不限" : "不限";
+  if (props.entitlement) return `已使用 ${displayUsed.value}/${displayLimit.value} 个主题`;
+  return `今日 ${displayUsed.value}/${displayLimit.value}`;
+});
+const guidanceText = computed(() => {
+  if (exhausted.value) return "本月深度主题使用较多，建议先完成已有功课；如需继续高频陪伴，可联系运营老师确认权益。";
+  if (nearLimit.value) return "本月深度主题接近上限，可以先沉淀已有主题，再继续新的议题。";
+  return "";
+});
 </script>
 
 <template>
@@ -65,7 +75,8 @@ const limitText = computed(() => displayLimit.value === null ? "不限" : String
       >
         {{ generatingShareDraft ? '生成中' : '分享稿' }}
       </button>
-      <strong>{{ displayUsed }}/{{ limitText }}</strong>
+      <strong>{{ usageText }}</strong>
     </div>
+    <p v-if="guidanceText" class="session-quota-guidance">{{ guidanceText }}</p>
   </section>
 </template>
diff --git a/ai_knowledge_base_v2/apps/user-client/src/styles.css b/ai_knowledge_base_v2/apps/user-client/src/styles.css
index cf95e16..19b7589 100644
--- a/ai_knowledge_base_v2/apps/user-client/src/styles.css
+++ b/ai_knowledge_base_v2/apps/user-client/src/styles.css
@@ -1215,6 +1215,14 @@ textarea:focus-visible {
   font-size: 13px;
 }
 
+.session-quota-guidance {
+  flex-basis: 100%;
+  margin: -2px 0 0 26px;
+  color: #6c8078;
+  font-size: 12px;
+  line-height: 1.55;
+}
+
 .session-quota > div {
   display: flex;
   align-items: center;
@@ -1276,6 +1284,10 @@ textarea:focus-visible {
   color: var(--chat-danger);
 }
 
+.session-quota.exhausted .session-quota-guidance {
+  color: var(--chat-danger);
+}
+
 .message-list {
   min-height: 0;
   overflow-x: hidden;
diff --git a/ai_knowledge_base_v2/docs/qianwen_product_todo.md b/ai_knowledge_base_v2/docs/qianwen_product_todo.md
index 2c4588e..47ec0fe 100644
--- a/ai_knowledge_base_v2/docs/qianwen_product_todo.md
+++ b/ai_knowledge_base_v2/docs/qianwen_product_todo.md
@@ -583,6 +583,10 @@ Agent 已经可以：
 - 权益不足时提示清楚；
 - 基础版和深度版提示不同。
 
+#### 开发进度
+
+- 2026-07-31：用户端额度条已改为“本月主题使用情况 / 今日陪伴使用情况”，接近上限时给出先沉淀/消化功课的提醒；后端每日额度超限文案已从“次数用完”改为陪伴式权益确认提示。主题额度超限已使用柔性文案。
+
 ---
 
 ### 09. 成本统计与模型分流