How to evaluate AI-augmented simulation tooling

A good demo shows a path through one curated problem. A good evaluation asks what happens when the data is incomplete, the run history is messy, or the result conflicts with intuition.

Ask what the tool reads, what it writes, how it cites evidence, how it handles uncertainty, and whether a human can reconstruct why a recommendation appeared.

I read all of this - what now? Bring a real but non-proprietary workflow slice to the evaluation and make the tool earn trust under your constraints.