Publishing AI output directly is a mistake. Use it for structure and research. Add your voice and experience. The hybrid workflow that works.
I wrote an article about AI tools. Published it. A week later I ran it through the AI article generator on the same topic. The AI version was better structured. Mine had better opinions. Neither was perfect alone. Combining both gave me a post that was better than I could write alone or the AI could write alone.
AI article generators are not authors. They are research assistants that produce solid first drafts in 30 seconds. Here is how to use one without sounding like you used one.
AI-generated articles have tells: formulaic transitions, diplomatic hedging on controversial topics, and zero personal experience. Readers spot these immediately. The fix: treat the AI output as a structured outline with research, not a finished article. Keep the structure and factual sections. Rewrite the introduction, conclusion, and any section that should have your voice.
Counter-intuitive: the more specific your topic, the better the AI output. Topics like "how AI is changing small business marketing in 2026" produce specific, useful content. Topics like "marketing tips" produce generic fluff. Specificity forces the AI to engage with the topic rather than generate safe generalities.
Write your outline first. Generate the AI draft. Polish the language with the text polish tool. Then do a human edit pass: add your opinions, cut generic transitions, add specific examples from your experience, fact-check any claims. The AI handles structure and research. You handle voice and insight. The article generator costs 3 credits. Set the word count between 50 and 5000 words.