Prova artifact
AI Builder Reality Check for Marketers
Decide whether you are ready to build a first useful slice, and identify what will break first if you start now.
Best forMarketers using Claude Code, Codex, v0, Replit, or similar tools but not shipping consistently · Operators with prototypes but no real user path · Senior marketers deciding whether to stay an AI power user or become a builder · Consultants turning domain knowledge into a small product or internal tool
Template fields
- 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
Worked example
A marketer trying to build an internal campaign QA assistant.
The filled examples below stay in English because Prova reviews submitted artifacts in English.
Weak version vs strong version
Weak version
- 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 |
Why it fails
- "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.
Strong version
- 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 |
Why it works
- 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.
What Prova reviews that generic AI often misses
- 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
Next step
Want feedback on your version? Prova starts with a short assessment so your review standard matches your role, goal, and first audience. After that, you enter the sprint that fits your current work.
Prova is currently available in English only.
Before submitting: remove client names, confidential numbers, and anything your team would not want stored in a training or coaching system.
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