資料來源#
摘要#
Anthropic 旗下 Claude Code 與 Cowork 的產品負責人。多年擔任工程師，後短暫進入 VC 領域，再加入 Anthropic。訪談過「數百位試圖進入 AI 領域的 PM」；將這份觀察轉化為一個強烈觀點：PM 角色正處於重構之中（參見 Engineer PM Convergence）。
重要主張與立場#
- 節奏轉變。 Anthropic 的功能交付週期從 6 個月 → 1 個月 → 有時 1 天。透過移除流程阻力、將多數發布冠上 research preview 標籤以降低承諾、先在內部上線再對外推出來達成。
- 使命 > 協調。「如果有兩個互相競爭的優先順序，我們會討論哪一個對 Anthropic 的使命更重要。」這才是在規模化下消除摩擦的關鍵，而不是人頭數或流程。
- 就去做事。 個人生活信條。「工作是假的。如果你理解了限制條件，就能想清楚自己能做什麼，然後盡快去做。」她認為主動性（agency）是新創公司應該招募的稀缺特質。
- 為當下的模型打造。 為超級 AGI 稻草人打造產品很容易；要從今天的模型中引出最大能力卻很難。最困難的 PM 技能，是定義一個月後產品該長什麼樣。
- 請模型自我檢視。 被低估的除錯技巧：當 Claude 做出意料之外的事，問它為什麼。「很多時候，只要保持高度好奇心去探究模型為何做出那個決定，你就會看到是什麼把它誤導了，於是你就能修正 harness。」（參見 Model Introspection Feedback）
- 建立 evals。 十個優秀的 evals 勝過一百個平庸的；撰寫 eval 是「被低估的工作」，應該有更多 PM／工程師動手做。
- 95% 自動化不算自動化。 不衝到 100% 就別費心。最後那 5% 占了大部分工作量，卻是讓工作流值得信賴的關鍵。
- 打造你每天會用的應用，而不是原型。 客製化設定超過某個程度就會變成干擾——「我覺得簡單的設定其實效果更好。」
- 性格就是產品。 Claude 的個性（低自我、正向、輕鬆、偏向行動）是產品成功的核心——Amanda 塑造模型性格的工作「比寫程式更難」，因為這項任務本身極度模糊。
訪談中的運作細節#
- Anthropic 內部約有 30–40 位 PM，分布於 research-PM、Claude Developer Platform、Claude Code、Enterprise、Growth 等團隊。
- 寧可招募具備強烈產品品味的工程師，也不要工程能力薄弱的 PM——團隊中許多工程師能直接把 Twitter 上的反饋一路打造成上線產品，全程無需 PM 介入。
- 團隊中的設計師都具備前端工程背景。
- 每晚使用 Cowork，從 Slack／Drive／Twitter 的脈絡草擬 20 頁簡報（已預載 anthropic design system）。
- 內部技術堆疊：大量使用 Claude Code + Cowork、Slack（「公司的作業系統」）、由團隊為個人化工作流自製的內部應用。
- 「Applied AI」團隊是 token 消耗量第二大的單位（僅次於工程團隊）——這是個技術型 go-to-market 的角色，為客戶製作原型。
重要引述#
- 「為超級 AGI 強模型打造產品非常容易。困難的是針對當下的模型，弄清楚該如何引出最大能力？」
- 「當寫程式的成本變得便宜許多時，真正變得更有價值的事情，是決定要寫什麼。」
- 「即使某個產品不成功，只要它沒有擋住核心使用場景，那就無妨。」
- 「每當模型變得更聰明，我們就能移除許多 prompting 介入。事實上，我們每次發布新模型時都會這麼做。」
相關連結#
- Claude Code — 共同領導產品
- Cowork — 共同領導產品
- Boris Cherny — 技術主管搭檔
- Anthropic — 雇主
- Engineer PM Convergence — 主要倡議者
- Harness Shrinkage as Models Improve — Opus 4 上移除待辦清單拐杖是她的經典範例
- Model Introspection Feedback — 她命名的除錯技巧
- AI Native Product Cadence — 體現了相關實踐
- Claude Character as Product — 闡述為何性格是承重元素
- Fiona Fung — 同樣產品上的互補資深領導者（Fung 統整工程組織；Wu 擔任產品負責人）
- Dogfooding as Product Discipline — 她午餐時的 vibe-check，是 Fiona Fung 稱之為「螞蟻食」的那種 dogfooding 在 eval 形式上的對應
- Verification as the New Bottleneck — 她「十個優秀的 evals」／「衝到 100%」的立場，是「驗證成為瓶頸」這個現象在產品側的呈現
資料來源#
- How Anthropic's product team moves faster than anyone else | Cat Wu (Head of Product, Claude Code) — Lenny's Podcast, 2026-04-23
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