Write Your AI Experiment Falsifier
A small prompt to force the stop condition into the open before the result arrives. Example: if a support chatbot is meant to improve first-contact resolution from 62% to 75% against the current workflow, a falsifier could be fewer than 70% after 200 comparable cases or any unresolved high-severity error. For qualitative work such as content quality, define 3–5 observable criteria with 1–5 anchor examples, score a calibration set with two independent reviewers, measure agreement, and freeze the minimum score before testing. If reviewers cannot agree on the anchors, the rubric is not ready to be the primary metric. Freeze the metric, comparison, sample, and stop rule before looking at the result.
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