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Here's how the scoring actually works and the fastest path to 250.

A demonstrable, measurable answer to "does this AI actually sound like me?" — and why the answer is the only durable advantage in this category.

Voice authenticity has been a friction problem — too costly per draft, so generic AI wins by default. Once voice scoring becomes infrastructure rather than manual work, the question shifts from "sound like me" to "what could voice become."

Two camps in the C-suite right now — AI-averse and AI-evangelical. Both miss the point. Authentic communication at scale isn't about whether you use AI; it's whether you replace yourself in a way that keeps the thinking and only automates the typing.