My Exact AI Workflow for Writing Blog Posts Every Week

My AI workflow for writing blog posts has gone through more iterations than I can count — and the version I’m about to describe is the one that finally stuck.

When I started publishing blog posts regularly, I had no system. Every post started from scratch — a blank document, a vague topic idea, and whatever energy I had left after the rest of my workday. A 1,500-word post took 3–4 hours from start to publish. Some weeks I’d produce two posts. Other weeks, zero.

The workflow I use now takes a consistent 75–90 minutes per post from brief to publish-ready draft. I’ve used it across dozens of posts over the past several months, and the consistency it provides — in both time and output quality — is the single biggest change I’ve made to my content process.

Here’s exactly how it works, tool by tool and step by step.

The Tools in My Current Stack

Before getting into the steps, here’s what I use and why:

Perplexity AI (free) — research and fact-checking with cited sources
ChatGPT (free) — outlines and structure
Claude (free/Pro) — first draft writing
Grammarly (free) — final editing and tone check
Canva AI (free) — featured image

Total monthly cost for this workflow: $0 on free plans, $20/month if I upgrade Claude Pro on heavy writing weeks.

Step 1: Research the Topic (Perplexity AI — 10 minutes)

Every post starts with Perplexity AI, not a blank document.

Before I write a single word, I spend 10 minutes using Perplexity to understand the topic deeply enough to have something genuine to say about it. I’m looking for three things: current data or statistics I can reference, angles that other articles aren’t covering, and anything surprising or counterintuitive that could anchor the post.

My exact prompt:
I’m writing a blog post about [topic] for an audience of [target reader].
Find me: 3 recent statistics I can reference, the most common questions people have about this topic, and any recent developments that most articles haven’t covered yet.

What I like about Perplexity for this step is the citations. Every piece of information comes with a source link, which means I’m not building a post on unverified AI output. For a full breakdown of why Perplexity is my research tool of choice, see our Perplexity AI Review 2026.

Time: 10 minutes

Step 2: Build the Outline (ChatGPT — 10 minutes)

Once I have my research notes, I switch to ChatGPT to build the post structure.

I don’t ask ChatGPT to write anything at this stage — just to organize. I paste in my research notes and the topic, and ask for a logical H2/H3 structure that covers the topic without being exhaustive.

My exact prompt:
I’m writing a blog post titled “[title]” for [target audience].
Here are my research notes: [paste notes].
Create a detailed outline with H2 and H3 headings that builds a logical argument, covers the most important points, and flows naturally from introduction to conclusion. Include a note on what each section should accomplish.

The outline step used to be the part I skipped when I was in a hurry. That was a mistake. Posts written without a solid outline take longer to edit because the structure problems are baked in from the first sentence. 10 minutes on the outline saves 30–40 minutes of structural editing later.

Time: 10 minutes

Step 3: Write the First Draft (Claude — 30–40 minutes)

With research notes and a detailed outline ready, I open Claude and write the full first draft.

I give Claude the outline, the research notes, and a clear brief about tone, audience, and any specific requirements. Then I write section by section rather than asking for the full post at once — this produces better quality and stays within Claude’s free plan limits more comfortably.

My section prompt:
Write the [section name] section of this blog post.
Tone: [tone]. Audience: [audience].
Key points to cover: [points from outline].
Relevant research to include: [relevant notes].
Target length: approximately [word count] words.
Write naturally — avoid generic phrasing and make the argument specific rather than broad.

What I’ve learned about this step:

The quality of Claude’s output is directly proportional to the quality of the brief. When I give it a detailed outline section with clear points and relevant research, the output requires minimal editing. When I give it a vague brief because I’m in a hurry, I spend twice as long fixing the result.

I also add my own voice in this step — personal examples, specific observations, anything that makes the section sound like it came from someone who has actually used these tools rather than an AI summarizing the internet. Claude provides the structure and language; I provide the perspective.

For a full breakdown of why Claude is my first-choice writing tool, see our Claude AI Review 2026.

Time: 30–40 minutes

Step 4: Edit and Polish (Grammarly — 10–15 minutes)

Once I have a complete draft, I run it through Grammarly before doing my own edit.

Grammarly catches the errors that are invisible when you’re too close to the text — the repeated words, the tone slips, the sentences that are technically correct but harder to read than they need to be. I review every suggestion rather than accepting blindly, but the free plan catches most of what matters.

After Grammarly, I do one read-through of the full post out loud. This is the step that catches everything else — sentences that read fine on screen but sound awkward spoken, sections that are longer than they need to be, and transitions that don’t quite connect the way I intended.

What I look for in my edit:

Does the introduction earn the reader’s attention in the first two sentences?
Does each section deliver what the heading promises?
Is there anything that could be cut without losing anything important?
Does the conclusion give the reader a clear next step?

For a full breakdown of how I use Grammarly in my workflow, see our Grammarly Review 2026.

Time: 10–15 minutes

Step 5: Create the Featured Image (Canva AI — 5–10 minutes)

The featured image is the last step, not the first — which is the opposite of how I used to do it.

I use Canva AI to generate a base image with a text prompt, then drop it into one of my standard featured image templates with the post title overlaid. The whole process takes under 10 minutes and produces a consistent, professional-looking image that matches the site’s visual style.

My image prompt formula:
[Topic or concept], professional, clean, [dominant color], [style: flat illustration / photorealistic / abstract], suitable for a blog featured image, wide format

For a full breakdown of Canva AI’s features, see our Canva AI Review 2026.

Time: 5–10 minutes

The Full Workflow at a Glance

Step	Tool	Time
Research	Perplexity AI	10 min
Outline	ChatGPT	10 min
First Draft	Claude	30–40 min
Edit & Polish	Grammarly	10–15 min
Featured Image	Canva AI	5–10 min
Total		65–85 min

Compare that to my pre-AI workflow: 3–4 hours per post, no consistent structure, and wildly variable quality depending on how much energy I had that day.

What Doesn’t Work (Things I’ve Tried and Dropped)

Using one tool for everything. I went through a phase of trying to do the entire workflow in ChatGPT — research, outline, and draft in a single conversation. The output was consistently worse than splitting the work across specialized tools. Each tool in my current stack does one thing better than the alternatives; trying to consolidate everything loses those individual advantages.

Skipping the outline. Every time I’ve skipped Step 2 because I was in a hurry, I’ve regretted it. The editing time on outline-free posts is always longer than the 10 minutes the outline would have taken.

Editing immediately after writing. I used to move straight from draft to edit without a break. Reading the post again after even a 30-minute gap produces a noticeably better edit — the errors that were invisible when I was writing become obvious.

Over-relying on AI for the personal parts. The sections of posts that perform best — the ones readers mention in comments or share — are almost always the ones where I’ve added specific personal experience or a genuine opinion that no AI could have generated. I’ve learned to identify where those moments belong in a post and write them manually rather than prompting Claude to approximate them.

Who This Workflow Works Best For

This workflow is most effective for:

Bloggers publishing 2–4 posts per week who need a consistent, repeatable process
Content creators who want to maintain quality without spending 3–4 hours per post
Writers who are comfortable editing AI output and adding their own voice

It’s less effective for:

Highly technical or specialized content that requires deep domain expertise AI can’t provide
Purely personal or narrative posts where the entire value is the writer’s unique voice and experience
Writers who are just starting out and haven’t yet developed enough editorial judgment to know when AI output needs significant work

Final Thoughts

The AI workflow for writing blog posts that I’ve described here isn’t magic — it’s a systematic approach to removing the parts of the process that don’t require my judgment, so I can spend more time on the parts that do.

The research step ensures I have something real to say. The outline step ensures the argument holds together. Claude handles the language. Grammarly catches the errors. I provide the perspective, the personal examples, and the editorial judgment that turns a competent draft into something worth reading.

If you’re currently writing blog posts without a system, start with just two changes: use Perplexity AI for research before you start writing, and build an outline before you open a blank document. Those two steps alone will change your process more than any other single adjustment.

What does your current blog writing workflow look like? Share in the comments — I’m always curious how other writers approach this, and whether others have found tools or steps that work better than what I’m using.

Last updated: May 2026

Written by Ian Sung — IT professional and AI tools reviewer with 2+ years of hands-on experience testing 50+ AI tools across writing, productivity, automation, and content creation workflows.