Originality.ai trains specifically on modern LLM output and is the detector most editors and schools actually pay for. It catches what free tools miss: the subtle "probability smoothing" of a model that never picks the surprising word. A raw ChatGPT article typically lands at 95–99% "AI." You can't synonym-swap your way out of that.
Models love the safe, high-frequency word. Force variety: for every three sentences, make one deliberately short (under 8 words) and one long and winding with a clause and a punch. Read it aloud. If it scans like a corporate memo, you've got more work to do.
"It's important to note," "in conclusion," "overall," "furthermore" — these are probability billboards. Cut them. Replace "utilize" with "use," "facilitate" with "help," "leverage" with "use." Originality's model weights this vocabulary heavily.
AI writes the consensus. Humans take a stand. Insert one defensible opinion per section — "I think this advice is overrated" — and one specific detail a model wouldn't invent, like the exact error message you hit at 2am. These traces are invisible to the score but unmistakably human.
AI loves claim → elaboration → example → wrap. Break the pattern. Start a paragraph mid-thought. End one with a question. Merge two short points into one longer sentence. Structure variance is half the battle.
Paste the result back into Originality.ai. Target under 10% on the AI score and a "passed" on the plagiarism check. If a paragraph spikes, rewrite it in your own voice — don't run it through another tool, or you'll re-introduce the same smoothed pattern.
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