Descriptions:
This follow-up video from the All About AI channel provides a 10–14 day revenue update on an experiment building and selling iOS apps entirely through AI automation. The creator reports $275 in total sales across three apps — led by the Nido Collector app (94 units sold) and Poke Machine (26 units) — with a newly launched third app called Looks still in its early days. The entire development workflow runs through Claude Code, which handles writing the Swift application code, launching the Xcode simulator, and running autonomous tests without manual IDE interaction.
The video walks through the Looks app in detail: a photo-upload experience that uses the OpenAI GPT image API to generate styled output images across categories like wardrobe palettes and haircut suggestions. The monetization model uses per-session in-app purchases rather than subscriptions, and the creator walks through the pricing math — GPT image generation costs per million tokens at medium versus high quality, across different aspect ratios — to illustrate how to avoid building an app that loses money on API calls.
The creator positions this less as a passive income shortcut and more as a template-building exercise: a pipeline for rapidly shipping App Store products using Claude Code as the primary development engine, with OpenAI APIs providing the AI-powered features inside each app.
📺 Source: All About AI · Published May 06, 2026
🏷️ Format: Workflow Case Study
