
Proving It: Evaluating Enterprise AI Without a Trusted Answer Key
What happens when a customer asks us to prove our agent is accurate, sometimes with no answer key at all, and sometimes with one that turns out to be wrong.

What happens when a customer asks us to prove our agent is accurate, sometimes with no answer key at all, and sometimes with one that turns out to be wrong.

How we tune LLM judges and the rest of the eval stack so the scores are something we can actually trust.

Evaluating AI agents is hard to get right. This is the framework we use at Rapidflare to test our agents, catch regressions, and ship with confidence.

Why evaluation comes before the agent: how we measure what "good" looks like when it comes to AI for product intelligence, and how we meet your organization wherever you are in the transformation journey.