AI-Automated iOS Apps Earn $275 in 14 Days

All About AIgo watch the original →

After 14 days, two automated iOS apps generated $275 in App Store sales (94 from Neato Collector, 26 from Poke Machine), with a test AI app using OpenAI image gen and single IAPs per session.

The Breakthrough

The author generated $275 in revenue after 14 days from two AI-automated iOS apps submitted to the App Store, primarily through paid downloads of Neato Collector and Poke Machine.

What Actually Worked

  • Cloud Code automates opening Xcode projects, editing apps, and launching simulators for autonomous testing.
  • The Looks app lets users upload a photo, then generates four old money lifestyle images, six hairstyles, and a wardrobe palette using OpenAI's GPT-2 image API.
  • Monetization uses single in-app purchases per session (one session or five sessions) to cover API costs, with App Store approval.
  • API cost calculation accounts for input at $8 per million tokens (cached input), output at $30 per million tokens; users apply a calculator for image dimensions (vertical, horizontal, 1:1) and quality (medium, high) to ensure profitability.
  • Future apps target viral trends like lookmaxing image generators from Reddit and X for quick market gaps without marketing.

Before / After

After 14 days: $275 total revenue; Neato Collector sold 94 copies; Poke Machine sold 26 copies; Looks app had 3 downloads and 1 in-app purchase.

Context

The author started with a fully automated pipeline to build, test, and deploy iOS apps using AI, as shown in a prior video. This update tests an AI-dependent app (Looks) to validate the process for scalable, low-effort income. Steady sales averaging $20 per day justify expanding to trend-based apps.

Notable Quotes

  • "drum roll please $275 so far that is very good i'm super happy with that"
  • "$20 a day or something so that's pretty good for that low effort"

Content References

None from transcript.

  • #demo
  • #tutorial
  • #news

summary by x-ai/grok-4.1-fast. probably wrong about something. check the source.