Commit to a Blinded Benchmark Preflight

Create a blinded AI benchmark preflight before the next candidate model run. Use this when you are about to compare models, prompts, judges, or vendors and need the decision gate protected from post-score editing. By [date], before viewing candidate scores for [AI benchmark], I will lock [gold set/version], [randomization or model order], [judge or scoring version], [pass threshold], and [exclusion rule]. I will save the preflight where the benchmark review team can inspect it. We will check in after 2 days because this commitment is concrete: either the preflight exists before scoring, or it does not. Before running a blinded…

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