ai-evaluation-evals

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AI Evaluation (Evals) AI evaluation (evals) is the emerging skill of systematically testing and measuring AI model performance. As models become products, evals become the product requirements document. This involves error analysis, creating rubrics, building benchmarks, and developing systematic tests - a critical bottleneck for AI labs and a new core competency for product builders.

1 Treat evals as your product requirements In AI products, the eval suite defines what the product should do. If you can't measure it, you can't improve it. Before building features, define how you'll evaluate success. The eval is the spec - it tells the model (and your team) exactly what 'good' looks like.