Building an AI application is often seen as a black box of complex code and mysterious algorithms. However, the difference between a failed experiment and a scalable product usually comes down to the process. This infographic breaks down the essential 8-step lifecycle for custom AI Application development, starting from the initial business problem to data collection, tech stack selection, and iterative model improvement. Whether you are a founder looking to outsource development or a project manager keeping a team on track, this guide provides a clear blueprint for navigating the software development lifecycle. Learn how to handle data prep, avoid model drift, and ensure your AI provides actual value to the end user.