After a draft is written, Voice counts what a machine can count: stray dashes, hashtag blocks, announced openers, chopped rhythm. It posts notes on the generation timeline and leaves your text alone.
What it does
When the writing is done, the Editor Check looks for tells it can count. Examples: dashes that slipped past the rules, a block of hashtags, emoji used as bullets, a run of one-line paragraphs, an "it isn't X, it's Y" sentence, an opener that announces a feeling, and every [PROOF: ...] marker still waiting for evidence.
On a LinkedIn post it also reads the first line the way a reader does. Each finding is a note on the generation timeline.
Why
Your rhythm and habits are the part readers recognise as you. A script that quietly smooths them out is what makes writing sound machine-made.
What it won't do
- It doesn't change your text. It reports, and you decide.
- It doesn't judge taste. It only counts things that can be counted.
How to use it
Open the Voice guide in your dashboard, or start a trial to try it.