How to Use AI to Write, Edit, and Publish Content Faster

I'll be honest about something that might be unpopular: AI has made me a significantly faster writer. Not by writing posts for me — the AI-generated content I've tried publishing directly has underperformed my own writing every time. But as a system accelerator, AI has cut my content production time roughly in half.

Here's the actual workflow I use.

What AI Does Well in a Content Workflow

Before I get into specifics, it helps to understand where AI adds genuine value vs. where it's a trap.

AI is good at:

• Generating outlines and structure
• Identifying angles you haven't considered
• Drafting sections that are primarily informational (not perspective-based)
• Improving sentence-level clarity and flow in editing
• Repurposing published content for other formats
• SEO keyword and topic research
• Creating headline variations
• Formatting structured content (tables, bullet lists, FAQs)

AI is not good at:

• Authentic first-person voice and specific personal experiences
• Contrarian or nuanced takes that require genuine judgment
• Content that needs to be credible based on demonstrated expertise
• Anything where the value is specifically your unique insight

The mistake most content creators make: using AI for the things it's bad at and ignoring the things it's good at. The result is posts that sound like everyone else's AI-generated content — technically correct but lacking the specific voice and perspective that builds trust and converts.

My Step-by-Step Content Workflow

Step 1: Keyword and topic research (AI-assisted)

I use AI tools to expand my content ideas. I start with a question I want to answer or a topic I want to cover, then prompt the AI to generate related questions, alternative angles, and search query variations. This typically surfaces 5–10 angles I hadn't considered, and sometimes one of them is better than my original idea.

The AI doesn't decide what I write — that requires strategic judgment about my audience and what they need. But it accelerates the research phase.

Step 2: Outline generation (AI-drafted, human-refined)

I give the AI my target keyword, the question I want to answer, and a brief description of my perspective. It generates an outline. I then edit that outline significantly — removing generic sections, adding my specific angles, reordering to put the most interesting content first.

The AI outline is usually about 60–70% correct. The edits I make are where my perspective enters. This is faster than building an outline from scratch, but the final outline is mine.

Step 3: Draft section by section (mostly human, AI-assisted for specific sections)

I write most posts myself, using my outline as a guide. For sections that are primarily informational — a comparison table, a feature list, a "how does X work" explanation — I'll sometimes generate an AI draft and then edit it. For sections that require my voice, judgment, or specific experiences, I write them myself.

The ratio varies by post type. For a personal story post, I write 90% of it. For a comparison post that requires feature research, AI might draft 40% and I write the rest.

Step 4: Editing (AI-assisted for clarity)

After I have a complete draft, I use AI for a final editing pass focused on two things: clarity (is this sentence saying what I mean clearly?) and flow (does this paragraph transition naturally to the next?). I paste paragraphs one at a time and ask for suggested clarity improvements, then accept or reject them.

I don't use AI for the substance of editing — that's still mine. But the sentence-level polish is something AI does quickly and well.

Step 5: SEO optimization (AI-assisted)

I use AI to check that I've covered the main subtopics people expect when searching my target keyword, and to identify any obvious gaps. I also use it to generate meta description variations. This takes about 10 minutes and often catches something I missed.

Step 6: Repurposing (AI-first)

After a post is published, I use AI to generate the repurposed versions: email newsletter summary, social media captions, LinkedIn post adaptation. The AI does the initial draft of all of these, I edit lightly, and they're ready to publish.

This step alone saves me 60–90 minutes per post. The repurposed content doesn't need to be as polished as the original — it just needs to be good enough to drive clicks back to the full post.

The Tools I Actually Use

Claude (Anthropic) is my primary writing AI. I find it consistently better than GPT-4 for writing tasks that require nuance and following specific style guidelines. When I provide a detailed prompt about my voice and the audience, Claude's first drafts are closer to usable than what I get from other tools.

Perplexity for research. When I need current, factual information with sources, Perplexity is faster than traditional search and more reliable than other AI tools for factual accuracy.

Grammarly for final grammar and style check. Not AI in the generative sense, but an AI-assisted writing tool that catches the things I miss.

The Volume Math

Before this workflow: I could produce about 3 quality blog posts per week working consistently. After: I can produce 5–6 at the same quality level, sometimes more.

At 5 posts/week, I publish 250+ posts per year. The compounding effect on SEO — more content ranking, more internal links, more topical authority — is significant.

For a digital product business like mine, where content drives organic traffic and organic traffic drives affiliate commissions and product sales, volume matters. Using MadeThis for product hosting means I'm not spending time on technical operations — that time goes to content instead, which is where the business actually grows.

What Not to Do

Don't use AI to write posts and publish them directly. I've tested this extensively. Fully AI-generated content, even with detailed prompts, underperforms human-written content on engagement, time-on-page, and conversion. The difference in quality is detectable by readers even when they can't articulate why.

The goal isn't to remove yourself from the writing process. It's to remove yourself from the low-judgment parts of the writing process so you can spend more time on the high-judgment parts.

For more on how I've systematized my entire content operation, see my post on building systems that run your business while you sleep.