- The judgement lived in someone's head — only the person doing it knew the standard
- At volume you could only spot-check, and what slipped through usually surfaced at reconciliation
- Every repeat meant reading it all again from the top — nothing accumulated
Keyword Research Pipeline
The discovery pipeline mines keywords for multiple apps in bulk — read-only and unattended; the expansion pipeline cross-checks 4 intelligence sources, and adding keywords to the account is capped and gated by approval.
Why This Workflow Exists
Keyword mining is grunt work: with many apps and markets, and intelligence sources that don't talk to each other, one manual pass takes hours. Worse, unverified keywords get dumped into the account and only prove irrelevant after the money is spent.
- The standard is written into 4 steps — everyone reads the same one
- Everything is checked item by item, no sampling; every run leaves a record you can go back to
- 1 steps stop and wait for a person; reject or let it time out and not a single value changes
How This Workflow Runs
The same team also runs these
Apple Search Ads Campaign Automation
An AI agent reviews up to 5,000 targeted keywords one by one and proposes bid changes and pauses; humans only approve the bid changes — on rejection or timeout, nothing is touched.
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Every morning, spend from both ad platforms and subscription revenue arrive in Slack as a spreadsheet, with AI commentary attached.
app-store-operationsApp Store Operations Automation
Review replies, version submissions, TestFlight distribution, and certificate monitoring all run as workflows; AI-drafted replies score their own quality first, then wait for human confirmation before publishing.