diff --git a/.sisyphus/run-continuation/ses_1bcf4061fffeZ83r0Ra7NUB40Y.json b/.sisyphus/run-continuation/ses_1bcf4061fffeZ83r0Ra7NUB40Y.json
new file mode 100644
index 0000000..8dc4e4e
--- /dev/null
+++ b/.sisyphus/run-continuation/ses_1bcf4061fffeZ83r0Ra7NUB40Y.json
@@ -0,0 +1,10 @@
+{
+  "sessionID": "ses_1bcf4061fffeZ83r0Ra7NUB40Y",
+  "updatedAt": "2026-05-20T01:45:53.650Z",
+  "sources": {
+    "background-task": {
+      "state": "idle",
+      "updatedAt": "2026-05-20T01:45:53.650Z"
+    }
+  }
+}
\ No newline at end of file
diff --git a/backend/src/services/ai/templates/index.ts b/backend/src/services/ai/templates/index.ts
index 990d4b1..cb1717a 100644
--- a/backend/src/services/ai/templates/index.ts
+++ b/backend/src/services/ai/templates/index.ts
@@ -3,7 +3,7 @@ import type { ChatMessage } from '../providers/types.js'
 export function predictMetricsPrompt(ingredients: Array<{ name: string; percentage: number; category: string }>): ChatMessage[] {
   const ingList = ingredients.map(i => `- ${i.name} (${i.category}): ${i.percentage}%`).join('\n')
   return [
-    { role: 'system', content: '你是一名资深化妆品配方工程师。根据成分列表预测配方的肤感指数、稳定性评分和成本估算。返回 JSON 格式：{"sensoryIndex":{"spreadability":0-100,"absorption":0-100,"stickiness":0-100,"overall":0-100},"stabilityScore":0-100,"costEstimate":元/kg,"confidence":0-1,"reasoning":"简短理由"}' },
+    { role: 'system', content: '你是一名资深化妆品配方工程师。根据成分列表预测配方的肤感指数、稳定性评分和成本估算。直接返回纯 JSON，不要用 ``` 包裹：{"sensoryIndex":{"spreadability":0-100,"absorption":0-100,"stickiness":0-100,"overall":0-100},"stabilityScore":0-100,"costEstimate":元/kg,"confidence":0-1,"reasoning":"简短理由"}' },
     { role: 'user', content: `请分析以下配方的指标：\n${ingList}` },
   ]
 }
diff --git a/frontend/src/components/FormulaVisualEditor.tsx b/frontend/src/components/FormulaVisualEditor.tsx
index fe1b736..430b83c 100644
--- a/frontend/src/components/FormulaVisualEditor.tsx
+++ b/frontend/src/components/FormulaVisualEditor.tsx
@@ -121,7 +121,7 @@ export default function FormulaVisualEditor({ phases: initialPhases, onSave }: P
     } finally { setSaving(false) }
   }
 
-  const { prediction, loading: predicting, predict } = useAIPredict()
+  const { prediction, loading: predicting, error: predictError, predict } = useAIPredict()
 
   const handlePredict = () => {
     predict(allIngredients.map(i => ({
@@ -169,6 +169,7 @@ export default function FormulaVisualEditor({ phases: initialPhases, onSave }: P
             {predicting ? <Loader2 size={14} className="animate-spin" /> : <Sparkles size={14} />}
             {predicting ? '预测中...' : 'AI 预测指标'}
           </button>
+          {predictError && <span className="text-xs text-red-500">{predictError}</span>}
         </div>
 
         {hasPrediction && (
@@ -188,6 +189,13 @@ export default function FormulaVisualEditor({ phases: initialPhases, onSave }: P
           </div>
         )}
 
+        {hasPrediction && prediction!.reasoning && (
+          <div className="mb-4 rounded-lg border border-blue-200 bg-blue-50 p-3">
+            <p className="text-xs font-medium text-blue-600 mb-1">💡 AI 建议</p>
+            <p className="text-sm text-blue-800">{prediction!.reasoning}</p>
+          </div>
+        )}
+
         {hasPrediction && (
           <div className="mb-4 grid grid-cols-1 gap-4 lg:grid-cols-2">
             <div className="rounded-lg border p-3">
diff --git a/frontend/src/hooks/useAIPredict.ts b/frontend/src/hooks/useAIPredict.ts
index 6390f8b..754a5b4 100644
--- a/frontend/src/hooks/useAIPredict.ts
+++ b/frontend/src/hooks/useAIPredict.ts
@@ -56,7 +56,8 @@ export function useAIPredict() {
           if (line.startsWith('data: ')) {
             const data = JSON.parse(line.slice(6)) as { type: string; content: string }
             if (data.type === 'result') {
-              const parsed = JSON.parse(data.content) as PredictionResult
+              const clean = data.content.replace(/```(?:json)?\s*/g, '').replace(/```/g, '').trim()
+              const parsed = JSON.parse(clean) as PredictionResult
               setPrediction(parsed)
             } else if (data.type === 'error') {
               setError('AI 预测失败')