Prova 产出物

面向营销人员的 AI Builder Reality Check

判断你是否已经准备好构建第一个真正有用的 AI product slice，并找出如果现在开始，最先会坏在哪里。

适合人群正在用 Claude Code、Codex、v0、Replit 或类似工具，但还无法稳定 ship 的 marketer · 有 prototype 但没有真实 user path 的 operator · 正在决定继续做 AI power user 还是成为 builder 的 senior marketer · 想把领域知识变成小产品或内部工具的 consultant

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模板字段

User and painful job
First useful slice
Proof that someone wants it
Current artifact or prototype
Weakest assumption
Data or workflow dependency
Review standard
Launch risk
Next 14-day build commitment

填写示例

A marketer trying to build an internal campaign QA assistant.

下面的填写示例保留英文，因为 Prova 会用英文评审提交的 artifact。

弱版本 vs 强版本

弱版本

User: Marketing team
First useful slice: AI assistant for campaign QA
Proof: Everyone says QA is annoying
Weakest assumption: Need better prompts
Launch risk: Bugs
14-day commitment: Build MVP

User	Marketing team
First useful slice	AI assistant for campaign QA
Proof	Everyone says QA is annoying
Weakest assumption	Need better prompts
Launch risk	Bugs
14-day commitment	Build MVP

为什么不够好

"Marketing team" is not a user.
"AI assistant" is too broad.
The proof is hearsay, not behavior.
The weakest assumption ignores source data, approval rules, and workflow ownership.
"Build MVP" is not a commitment.

强版本

User: Paid media manager checking campaign launch settings before client approval
First useful slice: A checklist reviewer that compares campaign setup notes against required client launch rules
Proof: Two managers already use a manual spreadsheet before every launch; mistakes still reach strategist review
Current artifact: One sample launch checklist, three anonymized campaign setup notes, and one failed QA example
Weakest assumption: The checklist rules are explicit enough for AI to evaluate without platform access
Data/workflow dependency: Client launch rules, platform screenshots, naming conventions, approval owner
Review standard: Flag missing budget, geo, naming, tracking, claim, and approval evidence; never approve launch automatically
Launch risk: False confidence before a client-visible campaign goes live
14-day commitment: Build a reviewer for one client and one platform, then test against five past launch packets

User	Paid media manager checking campaign launch settings before client approval
First useful slice	A checklist reviewer that compares campaign setup notes against required client launch rules
Proof	Two managers already use a manual spreadsheet before every launch; mistakes still reach strategist review
Current artifact	One sample launch checklist, three anonymized campaign setup notes, and one failed QA example
Weakest assumption	The checklist rules are explicit enough for AI to evaluate without platform access
Data/workflow dependency	Client launch rules, platform screenshots, naming conventions, approval owner
Review standard	Flag missing budget, geo, naming, tracking, claim, and approval evidence; never approve launch automatically
Launch risk	False confidence before a client-visible campaign goes live
14-day commitment	Build a reviewer for one client and one platform, then test against five past launch packets

为什么有效

The user is specific.
The first slice is constrained.
Proof comes from an existing workflow.
Launch risk is clear.
The commitment creates evidence, not just more code.

Prova 会评审泛用 AI 经常漏掉的部分

Whether the first useful slice is still too large
Whether the user is real or imagined
Whether there is proof beyond personal excitement
Whether the artifact standard exists before the build starts
Whether the hard part is product judgment, data access, approval, or implementation
Whether the next step should be reality check, build brief, build plan, execution lane, or launch gate

下一步

想获得对自己版本的反馈？Prova 会先用一个简短 assessment，让 review 标准与你的角色、目标和第一批受众一致。之后你会进入适合当前工作的 sprint。

Prova 目前仅提供英文版。

提交前：请移除客户姓名、机密数字，以及任何团队不希望存入 training 或 coaching system 的信息。

前往英文版 Prova