Neural Systems Weekly

Designing Reliable LLM Systems: A Practical Guide for Engineering Teams

By @neuralsystemsweekly

Building systems around large language models is no longer a research experiment. Production teams now integrate LLMs into customer-facing products, internal tools, and automated pipelines. But the gap between a prototype that works on a laptop and a reliable service that handles real-world traffic is wide. The models themselves are nondeterministic, expensive to run, and sensitive to input variations. A team that treats an LLM like a conventional API will run into surprises