UPDATE: App Store AI Automation After 10 Days (Profit?)
Why It Matters
The update proves that low‑effort, AI‑automated iOS apps can generate real cash flow, suggesting a replicable model for indie developers to monetize quickly without heavy marketing.
Key Takeaways
- •Three AI‑generated iOS apps earned $275 in two weeks.
- •Neato Collector drove 94 sales, the primary revenue source.
- •Cloud Code automates Xcode, building, testing, and deployment.
- •In‑app purchases priced per AI session protect profit margins.
- •Future apps will target viral trends to minimize marketing costs.
Summary
The video provides an update on a creator’s experiment automating iOS app development with AI, showing how three AI‑generated apps have generated $275 in roughly two weeks of sales.
Revenue comes primarily from the Neato Collector app (94 units sold), followed by the Poke Machine (26 units) and a newly launched "Looks" app with three downloads and one in‑app purchase. The creator highlights a fully automated pipeline using Cloud Code to open Xcode, build, launch simulators, and test apps without manual intervention.
A walkthrough demonstrates the "Looks" app’s UI, single‑session in‑app purchases, and the underlying GPT‑2 image API cost model, emphasizing the need to calculate token usage to avoid losses. The presenter also shares pricing screenshots and notes that the app passed App Store review.
Looking ahead, the creator plans to chase viral trends—identified on Reddit and X—to launch additional AI‑driven apps quickly, relying on the same automated workflow to keep marketing spend near zero while scaling revenue.
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