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.

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

नीचे भरे हुए examples English में हैं, क्योंकि Prova submitted artifacts को English में review करता है.

A marketer trying to build an internal campaign QA assistant.

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

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

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