How would you prevent hallucinations in an LLM-based system?

A screening question: how do you keep an LLM-based system from making things up? Cover grounding the model with retrieval and citations, constraining outputs, checking answers (verifiers, tools), measuring hallucination rates, and what you would do in a product when the model is unsure.