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Offline evaluation

Vibes are not a methodology

Evaluating output that has no right answer

Checkpoint: choosing the metric

From offline scores to business outcomes

The metrics that decide whether it worked

Checkpoint: reading the layers

How to know whether your AI feature is actually good. Build a golden set, choose metrics that match the task, use LLM-as-judge where it fits, connect offline scores to online outcomes, and run the data flywheel.

Prompts are cheap and get rewritten weekly. The dataset that tells you whether a change made
things better is the thing your competitors cannot copy.

Evals, Metrics and the Data Flywheel

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