Understanding LLMs Without the Hype

Large language models are not magic. They are probabilistic engines that need strong scaffolding. When you treat them like collaborators, you can unlock surprising leverage.

Think in systems

You are not shipping a model. You are shipping a system that wraps retrieval, guardrails, and feedback loops around the model.

Design for fallibility

Assume the model will be wrong. Build interfaces that surface uncertainty and make corrections easy.

Ship with real users

You cannot simulate human behavior in a spreadsheet. Launch, learn, and iterate.