Run engagement on real iPhones, not simulators
Warmups, content distribution, retention loops — on real hardware, with auditable creds, AI-driven variance, and per-device session isolation.
Real devices, real fingerprints, real retention
What a fully-scheduled growth operation looks like
Five scheduled jobs, one fleet, zero pager noise — by 23:00 everything's tidied up for tomorrow.
- 06:00
Warmup
Schedule fires across the fleet. Each device launches the target app, runs a 20-second scroll, captures a baseline screenshot.
20 devices · 30s avg - 08:00
Engagement loop
Hourly engagement macro runs in group fan-out — follow, like, comment in a randomized order per account.
loop · randomized cadence - 12:00
AI takes the random variant
When the app A/B-tests a redesigned feed, ai_takeover takes over the screen for 5 seconds and adapts the path.
sub-agent · capped budget - 20:00
Daily QA snapshot
Capture full-screen of every device, push to S3, diff against yesterday — flag any account that drifted off-script.
REST · S3 archive - 23:00
Nightly housekeeping
Cleanup macro clears app caches, rotates session tokens, exits to springboard. Watchdogs continue overnight.
cleanup · 7×24 watchdog
Three flows you'll wire up week one
Account warming, content distribution, retention loops — same engine, three rhythms.
New-account warming
Spin up 20 accounts. Each goes through a 7-day warmup — gradually escalating engagement so the platform's risk model stays calm.
launch_app → loop → tap_by_text → wait Content distribution
Publish the same creative across every account, with subtle per-account variation in caption tags so it doesn't look templated.
upload_file → text → ai_extract → tap Retention loops
Daily DM checks, push notification acknowledgement, periodic profile updates — keep the account active without burning out.
wait_for_text → tap → swipe → log Build with…
Start with 1 iPhone account, scale to 100
Pin the workflow on a single device on the trial; upgrade to Studio when you're ready to fan out.
Start free trial