feat(ai): add automation surface summary
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@@ -80,11 +80,14 @@ Baymard 的商品頁與比較 UX 研究強調:使用者需要清楚的 product
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3. 將 PPT / AI payload 的比價項目拆成 identity evidence 與 offer evidence。
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4. 每週 benchmark 結果若命中上述 TODO,回寫 `TODO_NEXT_STEPS.txt` 或新增 ADR / memory。
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5. 將 PChome AI automation benchmark guardrails 套到後續 AI Agent surfaces 與每條 safe automation lane 的 first-viewport summary。
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- 已完成: `/api/ai/pchome-growth/ai-automation-surface-summary` 以 `golden_signals` 固化「已自動落地、已驗證、異動狀態、下一步」。
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- 已完成: `/ai_intelligence` 首屏直接消費 surface summary,raw receipt / hash / DB table / endpoint 細節留在 evidence-on-demand 層。
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## 參考來源
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- Google Merchant Center Product data specification: https://support.google.com/merchants/answer/7052112
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- Google Search Central Product structured data: https://developers.google.com/search/docs/appearance/structured-data/product
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- Google SRE The Four Golden Signals: https://sre.google/sre-book/monitoring-distributed-systems/
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- Schema.org Product / Offer / AggregateOffer: https://schema.org/Product, https://schema.org/Offer, https://schema.org/AggregateOffer
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- Baymard Product Page UX Best Practices: https://baymard.com/blog/current-state-ecommerce-product-page-ux
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- Baymard Product Comparison UX: https://baymard.com/blog/provide-comparison-features
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@@ -163,6 +163,8 @@
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- 已完成: 兩頁都明確呈現「已自動落地、已驗證、異動狀態、下一步」。
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- 已完成: `tests/test_ai_surface_benchmark_guardrails.py` 鎖住 DOM、下一步優先與 evidence-on-demand wording。
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2. 為後續 safe automation lanes 建立同樣的 first-viewport summary。
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- 已完成: `/api/ai/pchome-growth/ai-automation-surface-summary` 會把 readiness safe lanes 收斂成 `golden_signals`、`safe_automation_lanes`、`surface_contract`、`next_machine_action` 與 no-write 安全欄位。
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- 已完成: `/ai_intelligence` 首屏改吃 surface summary,不再自行拼接 receipt replay / drift verifier 欄位。
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完成標準:
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