You open your AI chat, type: “Write me a blog post about X”… and 12 seconds later you’ve got 900 words that look polished, structured, and confident.
And somehow… it is also flat. Generic. Slightly wrong. Like it was written by someone who has read about the topic, but never actually lived it.
The fix is order of operations.
AI cannot replace your thinking. But it can massively upgrade it—if you use it in the right order.
In my experience, this workflow produces posts that feel human, sharp, and publishable—without revision hell.
The two approaches (only one is worth your time)
This is for anyone publishing under their own name who wants to keep their voice and credibility.
1) “AI writes it first” (the trap)
In theory: fast draft -> quick edits -> done.
In practice:
- You tweak sentences you did not mean
- You argue with paragraphs you never would have written
- The result does not sound like you
- And quality still lands “meh”
Why: LLMs love generating confident structure—even when the idea was not there. If you start with an AI draft, you often end up polishing made-up structure + made-up opinions + made-up certainty.
If you care about quality: do not let the model invent your message.
2) “Human writes first” (the one that works)
Flip the order:
You create the raw content. AI helps shape it.
AI is great at: organizing, polishing, sharpening, storytelling.
You are great at: having actual opinions, lived experience, real intent.
That combo is where the leverage is. When you own the substance and let the model own the shape, you get clarity without losing yourself.
Three steps.
Step 1: Freewrite like you mean it (until you have nothing more to add)
Open a blank page and brain-dump hard.
Rules:
- Write way more than you think you need
- Keep the hand moving until you have nothing more to add
- Do not edit
- Do not reread
- Do not reorganize
- Do not fix grammar
- Do not stop
You might go off-scope. Good. That is often where the best lines are hiding.
When you have nothing more to add: stop. Do not “quickly polish.” You are not polishing yet—you are mining.
Step 2: Hand the mess to AI (with one key instruction)
Paste your raw dump into your AI tool and use something like:
“Turn this into a blog post. Keep the ideas the same—just structure it, improve clarity, and add light storytelling + a hook.”
Then add this sentence every time:
“Do not add new ideas or facts. If something is not in my text, do not invent it—only restructure and polish what is already there.”
This is the difference between:
- AI-generated content
- AI-assisted writing
Readers can tell—generic authority versus someone who’s been in the room.
Step 3: Review like an editor (do not just “approve”)
Do not give vague feedback like:
- “make it better”
- “more clear”
- “improve tone”
Give specific comments:
- what you like
- what feels off or fake
- what is missing from what you meant to say
- what should be cut
- what needs more detail
- where it loses momentum and you stop caring
- where it overclaims
If the AI feedback gets generic or hand-wavy, push:
- “Elaborate more.”
- “Be concrete.”
- “Give 3 options.”
- “Point out what is weak and why.”
Optionally run a “Dig deeper” pass (see prompts below) when the AI’s feedback is vague or you want to understand what it thinks about the draft—use it to find weak spots and skeptical-reader pushback before the next round.
Your job is to protect intent. AI’s job is to shape it.
The workflow that compounds quality (Version ladder)
Round 1
- You freewrite (until you have nothing more to add)
- AI turns it into v1 (structure + polish, no new ideas)
Round 2
- You comment like an editor
- AI applies comments -> v2
Round 3 (quality control)
- A second pass (another model or fresh thread) takes the best from v1 and v2 and produces v3.
- Take v1, v2, and v3 and (another model or fresh thread) compare v1, v2, and v3—then pick the best version (or do one more round).
Key point: track improvement, do not just iterate blindly.
When to stop editing (the 80/20 cutoff)
At some point, edits stop improving the post and start reshuffling it.
Stop when each new round gives you roughly the same quality as the last—no noticeable jump in clarity, punch, or usefulness. That is usually the 80/20 limit: you have captured ~80% of the quality for ~20% of the effort, and the remaining 20% will cost disproportionate time.
Ship it.
The time reality nobody tells you
And the time cost? AI is not magic—it will not nail it on the first prompt.
For a post you are actually proud of, expect:
- Freewrite until you have nothing more to add (often ~10–15 min)
- 10–15 minutes to review + comment
So call it 20-30 minutes minimum.
AI speeds you up. It does not remove thinking from the process.
Example prompts I use
Polish + storytelling
“Create a blog post from this. Keep the ideas the same—just structure, tighten, and make it more story-driven. Add a hook at the beginning.
Same constraint: no new ideas or facts; only restructure and polish what is already there.
Here is my content: …”
Compare two versions (scored)
“Compare v1 vs v2. Rate them in 8 categories (hook, structure, clarity, voice, actionability, conciseness, coherence, credibility). Give a final 1-10 for each and tell me what to fix.”
Dig deeper
“What is weak or unclear in this? What am I implying without proving? What would a skeptical reader push back on?”
Use this when the AI’s feedback is vague or when you want to better understand what the AI thinks about your draft.
Key takeaways
If you want quality, do not start by asking AI to write.
Start by thinking loudly on a page—then let AI do what it is best at: organizing, polishing, structuring, sharpening your message.
Your brain provides the substance. AI provides the shape.
Appendix: Original Raw Notes (Unedited Input)
The section below is my original draft notes before AI editing. It is intentionally raw and includes rough phrasing and typos.
# Blog post creation with AI
There are 2 main possible approaches on how to create blog post article using AI in case you care abotu quality.
One with much worse quality is let AI create initial draft based on context and topic and you as human will review it, edit it and again feed it back to AI to improve it. From my experience it is way to hell, you will spend hours on it and result will not be as good as you would you second approach.
The second approach is about you to draft whole article, just push into you text editor what you wanna share, as much as possible, go 10x, basically something like, basically use freewriting method, just write and do not stop, dump your brain into text on specific topic. Disagvantage is that scope can go a bit off, you can divert to a bit different topic, but is it real disadvatage? You maybe want this, maybe not, hard to say, it is disadvantage.
Next step after you are done and you do not have any other thoughts - usually after 10-15 minutes, just stop, do not read it, do not start with correcting it or shufligng things. Just open your AI chat, dump it there with simle instructions -
Next step is to read it and provide comments (correction, what you like, what do not like).
human (freewriting) -> ai (generate v1) -> human (comments) -> ai (incorporate) -> ai #2 (rate it and generate v2) -> ai #3 (compare v1 and v2 and generate v3) -> ai #2 compare v1 v2 v3 (if v3 is the best, use it if not iterate).
Time wise first part should be 10-15 minutes, correction and review should take at least same time, do not expect magic, to create good blog post you need to spend at least 20-30 minutes of your time at least.
AI is not magic, it will not automagically do what you want on first prompt on first time in case of article writing.
Read AI feedback of article and use "elaborate more" on parts which are a but mysterious, clear feedback is useless, you want to deep dive into feedbacking.
Tracking quality over edits is important, you want to see that with each new version (v1, v2, v3, ...) quality is increasing, it should be not biased by ai which create it, do not hesitate to open 5+ threads even use different models (Gemini, ChatGPT, Claude).
My exmaple prompts:
"Hey chatGPT Create blog post for my blog. Keep it in very similar shape, just polish it a but and make it as story telling (make hook at the begining and keep reader read it). Here is my content: ..."
"compare two articles, rate it in 8 different categories, gimme final 1..10 for each. A: .... _____ B: .... ____
"okay, thank you, what else you can tell me about B? What it tells about me / my intention? Think out of the box."
"compare three articles, rate it in 8 different categories, gimme final 1..10 for each: A: .... _____ B: .... ____, C .... _____"
EDIT 1:
- LLM is generattive, it loves to generate text even what is not there, this is trap, do not
let it made things up, keep your ideas in there.
EDIT 2:
When to stop editing? WHen quality improvements are almost same, not drastically improving, you can't make it higher quality, you reach 80 (quality):20 (effort) limit.