Loop engineering is gaining traction as the preferred method for interacting with AI, replacing traditional prompt engineering. This approach involves setting a clear goal and allowing AI systems like Fable 5 and GPT-5.6 Sol to self-correct and iterate until the task is completed. The process is streamlined through two main commands: '/goal' to define the mission and '/loop' to set the repetition interval. The framework distinguishes between inner loops, which are single tasks completed internally, and outer loops, which are recurring tasks that improve over time. This method leverages the advanced capabilities of modern AI to autonomously refine and complete tasks, marking a shift from the repetitive cycle of prompting and checking.