Sample the Draft Before You Trust It: A Stability Score for Model-Written Doc Sections
A doc section a model can write five different ways is not a section the model owns; it is a question your source material has not answered yet. Most documentation-generation workflows judge a draft by reading it once, which rewards fluency and hides disagreement. The workflow below replaces that judgement with a measurement: write the same section prompt several times, score how much the wording…
A draft written by a model can be measured for stability across multiple samples. The purpose of this measurement is to determine how stable the draft is before trusting it. The process involves writing the same prompt several times, scoring how much the wording changes, and using the score to decide who writes the final text. The artifact is a Python script that analyzes the draft offline and provides a stability score.
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