Emma, AI Product Manager — AtomsEmma·Product Manager

AI Product Manager Agent that writes PRDs you can ship

Emma turns ideas into PRDs your AI Team builds the same day, not specs that sit in a doc for two sprints.

From idea to scoped feature in one chat.

受到這些公司的創作者信賴:

Why PRDs sit in a doc instead of shipping

  • PRDs nobody can implement

    ChatPRD writes a polished doc. Your engineers still have to re-interpret it, split it into tickets, and chase the gaps. Emma writes PRDs Alex reads as the source of truth, no translation layer.

  • Spec and code drift on day one

    The PRD lives in Notion. The code lives in GitHub. The product lives in production. By sprint 2 they tell three different stories. Emma keeps the PRD in the same workspace as the code so it stays the source of truth.

  • Scope creep nobody flags

    Solo PRD tools write whatever you ask for. Emma proposes a v1 cut and pushes back on scope drift instead of quietly turning a 2-week feature into a 2-month project.

  • Feedback aggregators that never produce a PRD

    Productboard collects thousands of feedback items. Turning them into a spec your team can ship is still a person's job. Emma takes Iris's research or a raw idea and writes the user stories engineering can build against.

Emma的一天

從你的第一個提示詞到交付成果——這就是 Emma 的實際運作方式。

  1. 01

    從 Iris 取得已驗證的方向

    Emma 從一個真實且已驗證的機會出發——而不是「我洗澡時想到一個點子」。

    Iris, AI Deep Researcher移交給 Iris
  2. 02

    梳理使用者故事和驗收標準

    誰在什麼時候做什麼,以及我們如何知道它是否奏效?清楚到工程師可以直接據此建構。

  3. 03

    將範圍收斂到能勝出的 v1

    將規格限定為能夠驗證假設的最小版本——範圍蔓延會在這裡被發現。

  4. 04

    讓 Bob 和 Alex 參與可行性討論

    在規格最終敲定前,就會將架構權衡和建置時間納入考量——建置過程中不會出現意外。

    Bob, AI Architect移交給 Bob
  5. 05

    鎖定規格並交付建置

    PRD 會直接進入建置佇列——這是 PM、架構和工程共享的同一份產物。

Everything Emma needs to ship clear specs

Structured PRD templates

Problem, goals, users, scope, out-of-scope, and success metrics in a consistent format every time.

User stories with acceptance criteria

Each story is implementable and testable, not a vague feature wish.

Scope and risk flags

Emma flags ambiguous requirements and proposes a v1 cut instead of writing everything you ask for.

Research integration

Pulls findings from Iris when available so PRDs are grounded in real insight.

Direct handoff to Engineer

Alex reads the PRD as the source of truth for implementation, no translation layer.

Living spec in the project

PRDs live in the Editor next to the code, so updates stay visible to the whole team.

Lightweight templates

Tier the depth from quick internal tool spec to full feature PRD based on what you actually need.

Emma加入你的團隊後,會發生什麼變化

手動打造的工作流程緩慢、仰賴人工且工具繁雜。將滑鼠懸停在任一卡片上,查看為何每項提升都很重要。

為什麼創作者會在眾多選擇中選Emma

對比

正從 ChatPRD 轉來?以下就是 Emma 更勝一籌的地方。

01

能真正建構產品的規格說明,而不是擺著不用的文件

ChatPRD 會產生一份精緻完善的 PRD,並永久保存在 Notion 中。Emma 的規格說明會直接進入 Bob 的架構草圖和 Alex 的建置計畫——你寫下的文件幾天內就會變成產品,而不是等到下個季度。

02

範圍受控,未被拉大

大多數 PRD 工具對每個功能點子都說好。Emma 會問:「能證明這行得通的最小版本是什麼?」並為此撰寫規格。範圍蔓延會在規格階段被抓到,而不是等工程已經開始之後。

03

連接到負責交付的團隊

Notion AI 就在你的 wiki 中。Emma 與 Iris(research)、Bob(architecture)、Alex(engineering)和 Mike(approvals)協同工作——這樣一來,在你投入哪怕一個工程工時之前,PRD 就已經由將要建置它的團隊完成審閱。

Atoms 與 ChatPRD:比較功能、價格和能力

功能
Atoms
推薦
ChatPRD
輸出
可用於建構的規格說明
潤飾後的文件
連接到工程團隊
移交給 Alex
存在於 Notion 中
內建範圍控管
V1 思維
對每個想法都說好
讓架構師參與可行性討論
在規格鎖定之前
你需要分別詢問
驗收標準
每個使用者故事
每個使用者故事

Emma 如何與您的其他 AI 團隊成員協作

Emma 並不是單獨工作。以下是你與完整團隊協作建置時,各項交接如何落地。

What Emma writes for product teams

Concrete product artifacts Emma produces that feed straight into engineering.

  1. Feature PRDs

    Full PRD for one feature with problem, scope, user stories, and acceptance criteria.

    Write a feature PRD
  2. MVP scope documents

    Define what ships in v1 and what waits, so you launch something useful instead of nothing perfect.

    Scope an MVP
  3. User story sets

    User stories with clear acceptance criteria your engineers can build and test against.

    Write user stories
  4. Sprint scoping

    Cut a feature into shippable slices so each sprint produces something you can demo.

    Scope a sprint
  5. Internal tool specs

    Lightweight PRDs for internal tools that need clear scope but not customer-facing rigor.

    Scope a tool
  6. Launch checklists

    Define what done means before launch so nothing critical gets missed at release.

    Plan a launch

Try these prompts with Emma

Write a PRD for a new feature

@Emma write a PRD for a referral program for our SaaS. Pull Iris's audience research, define problem, scope, out-of-scope, and v1 metrics, then write user stories with acceptance criteria Alex can build against.

Scope an MVP from one sentence

@Emma I want to launch a freelancer time-tracking SaaS in 4 weeks. Ask me the right clarifying questions, then propose a v1 scope that ships something useful, with a clear list of what waits for v2.

Cut an overscoped feature

@Emma the current notifications PRD has 14 user stories and we have one engineer-week. Cut it to 3 stories that deliver the core value, flag what we lose, and rewrite the doc.

Plan a launch checklist

@Emma we launch the invoicing module next Thursday. Write the launch checklist covering acceptance criteria, David's tracking spec, Sarah's landing page status, and Adrian's campaign readiness.

認識 Emma 的其他 AI 團隊成員

沒有任何一個智能體是單獨工作的。點選任一隊友,即可查看他們如何處理您產品中的那一部分。

常見問題

Put Emma to work

Stop writing PRDs no one reads. Let Emma write specs your AI Team builds the same day in Atoms.