Prova का artifact
Marketers के लिए AI Builder Reality Check
तय करें कि आप पहला उपयोगी AI product slice बनाने के लिए ready हैं या नहीं, और अभी शुरू करने पर सबसे पहले क्या टूटेगा.
इनके लिए सबसे उपयोगीMarketers जो Claude Code, Codex, v0, Replit या similar tools उपयोग कर रहे हैं लेकिन consistent ship नहीं कर रहे · Operators जिनके पास prototypes हैं पर real user path नहीं · Senior marketers जो तय कर रहे हैं कि AI power user रहें या builder बनें · Consultants जो domain knowledge को छोटे product या internal tool में बदल रहे हैं
Template के 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
भरा हुआ example
A marketer trying to build an internal campaign QA assistant.
नीचे भरे हुए examples English में हैं, क्योंकि Prova submitted artifacts को English में review करता है.
कमज़ोर version vs मजबूत version
कमज़ोर 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 |
यह क्यों कमजोर है
- "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.
मजबूत 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 |
यह क्यों काम करता है
- 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 क्या review करता है जो generic AI अक्सर छोड़ देता है
- 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
अगला step
अपनी version पर feedback चाहिए? Prova एक छोटे assessment से शुरू होता है ताकि review standard आपकी role, goal, और पहली audience से मेल खाए. उसके बाद आप अपने current work के लिए सही sprint में जाते हैं.
Prova अभी केवल English में उपलब्ध है.
Submit करने से पहले client names, confidential numbers, और ऐसी कोई भी चीज़ हटाएं जिसे आपकी team training या coaching system में store नहीं करना चाहेगी.
English में Prova पर जाएं