Watch how people actually decide whether an AI is good. They read a few answers, notice that it is fluent, articulate, confident—and they trust it. The judgment is aesthetic.
The antidote is old and unglamorous: evaluation. In AI, an eval is a systematic test of whether a system produces correct outputs, measured against known ground truth rather than j…
Here is the connection that took me a while to see clearly, and it changed how I build. You can only evaluate what you can trace.
The industry's fashionable shortcut is "LLM-as-judge"—using one language model to grade another.
We judge AI by how it feels, not whether it is right. Here is what an evaluation really is, why grounding makes it possible, and why I named my system Eternal Evals.