Turn AI-built app code Ad-Ready before launch.

Zoruko reads the app you generated, finds the ad-signal gaps AI tools usually miss, and opens the fixes as pull requests you can review before paid traffic starts.

Scan AI-built app Open founders page

scan app/
trace billingClient
trace StoreKit.Transaction
match server event_id
plan 3 safe fixes

purchase.tsbilling.ktcapi.tsrefund.ts

Code-firstthe audit follows the actual repo, not a checklist

Store-awareStoreKit and Play Billing paths are checked

Ad-ReadyMeta and TikTok receive clean conversion events

scan app/
trace billingClient
trace StoreKit.Transaction
match server event_id
plan 3 safe fixes

purchase.tsbilling.ktcapi.tsrefund.ts

AI can build screens faster than it wires revenue truth.

Generated apps often look ready while purchase acknowledgement, server events, and refund states are incomplete. Zoruko finds those missing paths before launch traffic learns from them.

Trace app-store purchase state and entitlement delivery.
Find missing server-side purchase mirrors.
Check whether refunds, renewals, and cancellations are represented.

01initiated

02interrupted

03queued

04confirmed

Replay-safe dispatch

Make checkout recoverable.

If a user backgrounds the app, loses network, or returns later, the purchase path still needs to reconcile safely.

Add replay-safe recovery for interrupted checkout.
Deduplicate retries before ad events are sent.
Keep ambiguous purchase states away from campaign learning.

StoreKit / Playsettled purchase

Server truthvalidated receipt

Ad platformsdeduped event

purchase.signal.ts

if (receipt.acknowledged) {
  send("Purchase", {
    value,
    event_id,
    source: "server"
  })
}

Ship fixes without losing control of the repo.

Zoruko keeps the generated codebase yours. Every change is a pull request with context, tests, and a narrow diff.

Review changes before merge.
Keep tokens and store credentials in your own infrastructure.
Use the audit trail as launch evidence.

Do not launch paid traffic on generated tracking.

Run the scan, see the first blocker, and make the app Ad-Ready before campaigns start optimizing.

Scan generated app code

Turn AI-built app code Ad-Ready before launch.

Zoruko reads the app you generated, finds the ad-signal gaps AI tools usually miss, and opens the fixes as pull requests you can review before paid traffic starts.

Scan AI-built app Open founders page

scan app/
trace billingClient
trace StoreKit.Transaction
match server event_id
plan 3 safe fixes

purchase.tsbilling.ktcapi.tsrefund.ts

Code-firstthe audit follows the actual repo, not a checklist

Store-awareStoreKit and Play Billing paths are checked

Ad-ReadyMeta and TikTok receive clean conversion events

scan app/
trace billingClient
trace StoreKit.Transaction
match server event_id
plan 3 safe fixes

purchase.tsbilling.ktcapi.tsrefund.ts

AI can build screens faster than it wires revenue truth.

Generated apps often look ready while purchase acknowledgement, server events, and refund states are incomplete. Zoruko finds those missing paths before launch traffic learns from them.

Trace app-store purchase state and entitlement delivery.
Find missing server-side purchase mirrors.
Check whether refunds, renewals, and cancellations are represented.

01initiated

02interrupted

03queued

04confirmed

Replay-safe dispatch

Make checkout recoverable.

If a user backgrounds the app, loses network, or returns later, the purchase path still needs to reconcile safely.

Add replay-safe recovery for interrupted checkout.
Deduplicate retries before ad events are sent.
Keep ambiguous purchase states away from campaign learning.

StoreKit / Playsettled purchase

Server truthvalidated receipt

Ad platformsdeduped event

purchase.signal.ts

if (receipt.acknowledged) {
  send("Purchase", {
    value,
    event_id,
    source: "server"
  })
}

Ship fixes without losing control of the repo.

Zoruko keeps the generated codebase yours. Every change is a pull request with context, tests, and a narrow diff.

Review changes before merge.
Keep tokens and store credentials in your own infrastructure.
Use the audit trail as launch evidence.

Do not launch paid traffic on generated tracking.

Run the scan, see the first blocker, and make the app Ad-Ready before campaigns start optimizing.

Scan generated app code