Blog

Writing from The Words Studio on brand voice, content strategy, and publishing without sounding like everyone else's AI.

• Six questions that decide whether an AI-drafted post is really yours

  Plain answers for founders using an AI writing tool: disclosure, ghostwriting, editing, brand voice across channels, and what happens to your writing.

  2 min read

• Your AI drafts sound generic because your prompt is adjectives

  A five-step method for writing voice rules from five pieces you already published, so AI drafts sound like you instead of like the internet average.

  4 min read

• Test your AI writer against your own writing before you switch

  A side-by-side test for founders weighing an AI writing tool switch: what to compare, when to stay put, when to switch, and why detector scores mislead.

  5 min read

• Our humanizer never beat 1.9% on an AI detector in 18 tries

  Eighteen scans on Originality.ai, three methods, six weeks: our humanizer never moved a draft past 1.9% human. Here is what AI detectors actually read.

  6 min read

• Why every AI draft sounds the same

  Seven structural habits, counted across 79 of our own pieces and 64,995 words. The em dash everyone bans showed up in 4%. The one nobody names, in 44%.

  6 min read

• A banned-words list won't fix AI-sounding drafts

  We ran a 46-item banned-words list against 67 pieces and got four hits. Here's why sentence structure, not vocabulary, is the real AI writing tell.

  5 min read

• Your style guide describes your voice. It never enforces it.

  Brand voice drift happens in rhythm, not vocabulary. Why style guides fail across multiple writers, and what a voice profile does differently at writing time.

  5 min read

• Page views tell you nothing about whether your article was read

  Four thousand views, nine seconds on page. How to tell which articles actually got read, using scroll depth, time on page and what happened next.

  8 min read