Medium: A 7-step AI writing workflow for faster content production
Darren Whitmore’s piece on Medium makes a practical claim: using AI at each stage of the writing process reduces a typical article from four to five hours down to roughly one. The piece is structured as a numbered workflow rather than a collection of tips, which makes it possible to evaluate each step separately rather than as a package deal.
The workflow begins with prompt construction. Whitmore’s first step is writing a one-sentence summary paired with three bullet points specifying the target audience, tone, and key takeaways before generating anything. The purpose is to avoid generic output by building context into the initial request rather than trying to edit it in afterward. From there, the workflow moves through AI-generated outline, paragraph drafting using fill-in-the-blank prompts, human editing for voice and accuracy, SEO keyword placement, headline generation, and finally visual prompt creation for section images.
Several specific constraints make the workflow more than a list of steps. Whitmore recommends reading drafts aloud during the editing step, which catches awkward phrasing more reliably than reading on screen. He sets a firm ceiling of under 1% keyword density for SEO, prioritizing readability over optimization. He also flags fact-checking as a step that cannot be handed to AI, noting directly that AI can hallucinate and that any figures or claims need independent verification before publication.
The piece’s value lies in its specificity. Many AI writing guides describe general principles; Whitmore describes an operational sequence where each step feeds the next. The move from outline to paragraph draft using fill-in-the-blank prompts, for instance, gives a concrete way to avoid the blank-page problem at each section rather than treating draft generation as a single undifferentiated step.
Who this is useful for. Freelance writers and content creators working at consistent volume who need a repeatable process rather than general advice, editorial managers evaluating AI writing integration, and writers who have experimented with AI tools individually but have not yet organized them into a sequential workflow.