Use Case

App Store & Marketplace Publishing

Asset preparation, metadata, privacy labels, and review submission with compliance gates.

Overview

Preparing apps and products for Google Play, App Store, or other marketplaces involves asset preparation, metadata, compliance, and submission — a process where a single missing screenshot size or incorrect privacy label can trigger a rejection cycle. Datarim's pipeline structures this inherently checklist-heavy work into phases: prepare metadata and descriptions, generate assets, handle legal compliance, and verify completeness before submission. The compliance stage is critical — it catches privacy policy gaps, missing EULA terms, and inaccurate age ratings before they reach review.

Example: Submit a macOS App to the App Store

A development team is preparing their macOS application for App Store submission. The work includes multi-locale metadata, screenshot generation, privacy nutrition labels, and TestFlight testing before review submission.

Pipeline Walkthrough

StageWhat happens
/dr-initScope: App Store listing, screenshots, description, privacy policy, review preparation. Complexity: L3
/dr-prdRequirements: app metadata (all locales), 6 screenshot sizes, app preview video, privacy nutrition labels, EULA, support URL, category selection
/dr-planPhases: 1) metadata and descriptions (EN, RU), 2) screenshot generation, 3) privacy policy, 4) App Store Connect setup, 5) TestFlight → Review submission
/dr-writeWrite app description, release notes, keyword list. Multi-language versions
/dr-editFact-check feature claims, humanize descriptions, verify keyword density
/dr-complianceLegal checklist: privacy policy covers all data usage, EULA terms complete, age rating accurate, export compliance declared
/dr-qaVerify: all assets uploaded, metadata complete for all locales, screenshots match current UI, links valid
/dr-archive (Step 0.5)Note: preparing the privacy nutrition labels early avoided a rejection cycle

Key Benefits

  • Rejection prevention — compliance checks catch privacy policy gaps, missing EULA terms, and age rating inaccuracies before submission
  • Multi-locale completeness — QA verifies that metadata is complete for every locale, not just the primary language
  • Asset-UI consistency — screenshots are verified against the current UI to prevent outdated visuals in the listing
  • Editorial quality — the write/edit stages ensure app descriptions are accurate, compelling, and free of AI patterns
  • Privacy-first approach — nutrition labels and privacy policies are prepared early in the pipeline, not rushed before submission

Relevant Agents

Which agents are most active in this use case:

  • Writer — app descriptions, release notes, and keyword optimization
  • Editor — fact-checking feature claims, humanizing descriptions
  • Compliance — privacy policy, EULA, age rating, and export compliance verification
  • Reviewer — asset completeness, locale coverage, and link validation

Complexity Routing

How complexity levels apply to app store publishing:

  • L1 — Update release notes or fix a screenshot for a new app version
  • L2 — Prepare a single-locale App Store listing with screenshots and privacy labels
  • L3 — Full multi-locale submission with metadata, screenshots, privacy policy, and TestFlight testing
  • L4 — Simultaneous submission to App Store + Google Play with platform-specific assets, compliance, and coordinated release