How do you keep the model from making things up?

We ground answers in your actual content through retrieval instead of letting the model answer from memory, require citations back to the source document where it matters, and route anything below a confidence threshold to a human instead of letting it guess. Before anything ships, we run it against a test set of real questions and score the output, not just eyeball a demo. None of that gets hallucination to zero — nothing does — but it turns an unpredictable failure mode into a known one you can catch and fix.