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The AI Article Pipeline Explained: Research to Published Post
How-ToProgramming Languages

The AI Article Pipeline Explained: Research to Published Post

via Dev.to PythonMarcus13h ago

Let me walk you through something I did last Tuesday morning. I had a content brief for the keyword “best CRM for small business” sitting in my queue. Eighteen months ago, that brief would have taken me a full day to turn into a published post: two hours of SERP research, an hour building an outline, four to five hours writing, another hour on SEO analysis, and then the back-and-forth with an editor before pushing it live. Last Tuesday, the same article went from brief to published post in under three hours. The SEO score came out at 82. The version I would have written manually, if I am being honest with myself, probably would have landed around 64 on a good day. That is what a well-built AI article pipeline actually does. Not replace you, but compress the mechanical parts of content creation so your judgment gets applied where it counts most. In this post I am going to break down exactly how that pipeline works, step by step, with concrete examples from real articles. Whether you are

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