It all started with prompt engineering. But today, it’s come to what’s called as “Loop Engineering”.
This is the practice of designing, testing, and improving the repeated cycles that an AI system follows to solve a task. Instead of asking a model a single question and accepting its first answer, loop engineering builds a structured process where the AI generates a response, evaluates it, improves it, and repeats this cycle until it reaches a satisfactory result.
A simple loop may consist of four steps: plan, execute, evaluate, and refine.
- First, the AI creates a plan for solving the problem.
- Next, it executes the plan by producing an answer or performing an action.
- Then, the result is evaluated against predefined criteria, such as accuracy, completeness, or safety.
- Finally, based on the evaluation, the AI revises its output and begins another iteration if needed.
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