Evaluating and testing AI safely
About this event
A new model comes out, cheaper and faster, and the vendor swears it performs just as well. A prompt gets tuned. Any one of these can silently break a production workflow, and the first sign of trouble is often an angry customer, not a dashboard.
“Deploys cleanly” and “actually works” are different questions: staging answers the first, evaluation answers the second.
We will share our experience and take questions from the audience.
What you'll learn
- Why staging and evaluation are different questions, and why you need both
- How to build a gold benchmark: monetization-critical queries, real user history, edge cases
- Three key metrics: semantic similarity, faithfulness, groundedness, and what each catches
- The cost tradeoff of LLM-judging-LLM evaluation
- A live look at pass-rate breakdowns, staging vs. production, inside the Ejento platform



