How to Implement AI-Developed Apps? A Practical Workflow from Requirement Breakdown to Testing and Release
AI development of an app does not mean having a model generate a complete product in one go; rather, it means using AI for requirement organization, Flutter cross-platform technology selection, step-by-step coding, data and API integration, testing, and packaging preparation. Using a fitness check-in app as an example, this article explains how to provide the tech stack and business context, check generated results, and pay attention to database permissions, version compatibility, and privacy materials.






