Loop Engineering: A Better Way to Build Reliable AI Applications

Large Language Models (LLMs) are powerful, but a single prompt rarely produces production-ready results. This is where Loop Engineering comes in. Instead of treating AI as a one-shot system, Loop Engineering treats it as an iterative process where the model continuously evaluates, improves, and validates its own output until predefined quality criteria are met. Loop Engineering is an AI development pattern in which an LLM operates inside a feedback loop rather than responding only once. A typica