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scoring logic v2: the score finally earns the number

scoring logic v2: the score finally earns the number

a bad score is annoying. a fake-good score is worse.

that was the problem with the old voice score. you could paste a draft with obvious ai writing patterns, five things that still needed fixing, and a voice that did not really match the profile. somehow the number could still sit around 70 or 80. not because the writing earned it. because the scoring logic was too forgiving in the wrong places.

it made the product feel confused. the issue cards were saying "fix this." the score was saying "mostly fine." users were right to ask what was going on.

what changed

scoring logic v2 is a rebuild of the premise. the score does not start at a polite middle number and drift up or down. it earns points from evidence in the draft.

brand voice match40 points
ai-pattern cleanliness25 points
remaining fix load20 points
writing strength15 points

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shashank
ai
shashank

writes about brand voice, ai writing patterns, and the craft of sounding like yourself. built hold your voice after watching his own voice flatten across six months of heavy ai drafts.

co-written with ai as sidekick. shashank drafted the observations; the ai pressure-tested the structural claims. if something reads too smooth, that's the ai's fault.