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Quick Reference · 一页速查表

Read it when stuck. Find the line that hurts most.
卡住的时候念一遍,找"最刺痛自己"那一条。

Symptom → Principle · 症状 → 原则对照表

You're feeling / 你正在感觉到 Read / 该翻
"Don't know what to do first" / "不知道先做什么" 01 Scenario-first · 场景先于功能 · 02 Spec before code · 先定性再动手
"Features keep piling up, can't stop" / "功能越加越多,收不住" 05 Subtract, don't add · 做减法而非加法 · 08 Infrastructure mindset · Infrastructure 心智
"Looks the same as competitors" / "和同类产品看起来差不多" 03 Aesthetic as stance · 气质即立场 · 10 Borrow cognition · 借力已有认知
"Just using whatever AI gives me" / "AI 给什么我用什么" 11 Commander posture · 指挥者姿态 · 15 Experience before review · 先用再评
"Tech says it can't be done, thinking of downgrading" / "技术说做不到,想降级" 06 Vision non-negotiable · 愿景不妥协
"Bugs keep resurfacing" / "bug 修了又出" 13 End-to-end fixes · 端到端修复 · 14 Design vs execution error · 设计错误 vs 执行错误
"Content quality is just off" / "内容质量总差一口气" 12 Content standards > technical standards · 内容标准 > 技术标准
"Don't know if the product is any good" / "不知道产品好不好" 17 Real engagement metrics · 核心指标绑定真实投入
"Shipped, what's next?" / "上线了,不知道下一步" 20 Distribution is product · 分发是产品的一部分
"Users complain, can't pin it down" / "用户反馈不对劲说不清" 07 Product boundary · 产品边界 · 18 Persistence = trust · 持久化=信任

5 dimensions × 4 principles · 5 个维度 × 4 条原则

I. Intent 立意 · Why build it

  1. Scenario-first · 场景先于功能 — start from real context, not feature list
  2. Spec before code · 先定性,再动手 — product doc is upstream of engineering
  3. Aesthetic as stance · 气质即立场 — color, type, voice are the first filter
  4. Subtitle as promise · 副标题是承诺 — "what you become," not "what you get"

II. Boundary 边界 · What NOT to do

  1. Subtract, don't add · 做减法而非加法 — ask: in this scenario, does the user have patience
  2. Vision non-negotiable · 愿景不妥协,实现可妥协 — the floor is the vision, what's negotiable is the approach
  3. Product boundary = user's decision path · 产品边界 = 用户决策路径 — each feature does one thing, clearly
  4. Infrastructure mindset · Infrastructure 心智 — "can do" ≠ "should do"

III. Execution 执行 · How to ship

  1. Decisive on direction, meticulous on detail · 决策果断,细节挑剔 — lock direction fast, never let details slide
  2. Borrow existing cognition · 借力已有认知 — borrow the memory, save innovation for what's felt, not seen
  3. Commander posture · 指挥者姿态 — AI is the executor, you set the direction
  4. Content standards > technical standards · 内容标准 > 技术标准 — the AI moat is your content judgment

IV. Quality 品质 · How to make it stick

  1. End-to-end fixes · 端到端修复 — fix the whole path, not the symptom
  2. Design vs execution error · 设计错误 vs 执行错误 — diagnose the layer before choosing the fix
  3. Experience before review · 先用再评 — live use before listing problems, sample before trusting data
  4. Security = product quality · 安全 = 产品品质 — same queue as feature bugs, audit proactively

V. Closed Loop 闭环 · When is it done

  1. Core metric bound to real engagement · 核心指标绑定真实投入 — one number that tells you if the product is working
  2. Persistence = trust · 持久化 = 信任基础 — what users invested, the product must remember
  3. Cross-platform parity + honest permissions · 跨端一致 + 权限诚实 — feature parity across platforms, clear boundaries
  4. Distribution is part of the product · 分发是产品的一部分 — done ≠ good, good ≠ reached

Three-line compression · 三句话浓缩

English:

Intent holds firm: scenario, aesthetic, vision — each articulable.
Execution holds up: decisive direction × meticulous detail.
Loop closes: it works → stands up to scrutiny → users can actually reach it.

中文:

立意定得住:场景、气质、愿景都能说清楚。
执行扛得住:果断拍板 × 细节不放过。
闭环做得到:能跑起来 → 经得起推敲 → 用户真的能用到。

Five questions to ask yourself every day · 五个每天该问自己的问题

  1. Is the scenario for what I'm doing right now articulable? / 我现在做的这件事,场景说得清楚吗?
  2. Can the features I recently added be reverse-derived from the scenario? / 我最近加的功能,反推得出来吗?
  3. Working with AI — am I commanding or being commanded? / 和 AI 协作时,我在指挥还是在被指挥
  4. What is my product's core metric? What's the number today? / 我产品的核心指标是什么?现在数字是多少?
  5. Can a stranger actually reach this product? Or do only I know it exists? / 这个产品能被陌生人用到吗?还是只有我知道它存在?