AI can write faster than you. But it can’t write like you.

Here’s the problem: You write a draft, paste it into ChatGPT or Claude, ask for revisions, and get back corporate oatmeal. The grammar is perfect. The structure is clean. But it sounds like every other AI-generated text on the internet.

The issue isn’t the AI. It’s that the AI doesn’t know how you write.

This post shows you how to fix that by creating a reusable writing style profile. Think of it as a user manual for how your brain leaks into text. Once you have it, you can use AI to write or revise anything while keeping your actual voice.

The Root Cause

LLMs default to a generic “professional” style. You’ve seen it: “It’s worth noting that…”, “Additionally, it’s important to mention…”, “I hope this helps!”

They use this style because it’s statistically safe. It appears frequently in their training data and rarely offends anyone. But it doesn’t sound like you.

Your writing has quirks. Specific vocabulary you use or avoid. Sentence patterns you favor. How you structure explanations. When you use bullets vs. prose. Your level of formality. Technical vs. casual modes.

Without explicit instructions, AI can’t replicate these patterns. It needs a map.

The Solution: Writing Style Profile

A writing style profile is a 1500-2500 word document that captures your core voice characteristics, vocabulary patterns, sentence and paragraph structure preferences, context-specific modes (professional vs. casual), anti-patterns (things that immediately break your voice), and specific quirks and habits.

You create it once, then paste it into any AI prompt where you want your actual voice.

The Process

Step 1: Gather Your Writing Samples

You need raw material. Actual text you’ve written over time. The more variety, the better.

Good sources include Notion exports (notes, documentation, personal reflections), email archives (both professional and casual), Git commits and PR descriptions if you’re a developer, Slack or Teams messages for casual professional communication, blog posts or articles for longer-form content, and code comments for technical writing patterns.

For Notion specifically: go to Settings & Members, then Settings, then Export content. Export all workspace content, choose “Markdown & CSV” format, and download the zip file.

I exported 255 markdown files from my Notion workspace spanning technical notes, personal reflections, procedural guides, and work documentation.

Step 2: Let AI Generate Your Profile

Modern LLMs with memory features (Claude, ChatGPT, Gemini) already have context from your past conversations. They’ve seen how you phrase questions, what you care about, and how you communicate. Use this to your advantage.

Use this prompt:

Based on all our conversation history in this chat and also on
things that you remember from other chats, create a comprehensive
writing style profile for me. I would like to attach this writing
profile to my other prompts so that AI can follow my writing style
and mimic my writing style when refining the pieces of text that
I write.

This generates an initial profile based on conversation patterns, questions you’ve asked, and how you’ve phrased things in the past. The AI already knows your vocabulary, your level of formality, when you prefer brevity vs. detail, and what annoys you in responses.

Step 3: Enrich with Writing Samples

The memory-based profile is a solid start, but you can make it more accurate by feeding the AI your actual writing. Upload your exported files and ask it to analyze patterns:

I've uploaded my Notion export with 255 markdown files. Analyze my
writing across different contexts (technical notes, personal
reflections, professional documentation) and identify:

1. Core characteristics of my voice
2. Vocabulary patterns (words I use frequently vs. avoid)
3. Sentence structure preferences
4. When I use bullets vs. prose
5. Different modes (professional, casual, technical)
6. Specific quirks and habits
7. Things that would break my voice (AI tells, corporate speak)

Update the writing style profile you created earlier with these
new insights.

The LLM will scan your samples and extract patterns. In my case, it identified direct, no-fluff communication style, code-switching between English and Ukrainian, “Wrong:” vs “Right:” code comparison patterns, specific Ukrainian phrases like “Насправді” and “Відповідно”, preference for active voice and action verbs, and avoidance of corporate buzzwords and hedging.

Step 4: Review and Refine

The AI-generated profile will cover the essential sections: core voice characteristics, vocabulary patterns, sentence and paragraph structure, context-specific modes (professional, technical, casual, instructional), anti-patterns, and usage instructions.

Read through it and verify it matches how you actually write. Add anything the AI missed. Remove anything that feels off. The goal is a document that, when given to any AI, produces text that sounds like you.

Step 5: Validate Against Real Samples

Before finalizing, test your profile against actual writing samples. Have the LLM read your profile, read several of your longer writing samples, and report any misalignments.

Ask:

Read my style profile, then analyze these 3-5 writing samples.
Are there patterns in my actual writing that the profile misses?
Are there profile rules that don't match how I actually write?

Adjust based on findings. In my validation, I found the profile accurately captured 95%+ of patterns with no conflicts.

Step 6: Use It

Now you have a reusable asset. When you want AI to write or revise something in your voice:

For revisions:

[paste full profile]

Please revise this email to sound natural:
[your draft]

For new content:

[paste full profile]

Write a technical explanation of [topic].
Context: [where this will be used]

The AI will follow your profile and produce text that sounds like you wrote it.

Real Examples

Here’s what happened when I used my profile.

Before (generic AI):

“It’s important to note that when working with React hooks, you should be mindful of the dependency array. Additionally, it’s worth mentioning that improper usage can lead to performance issues.”

After (using my profile):

“The dependency array matters. Miss a dependency and you’ll either get stale closures or infinite render loops. Use the exhaustive-deps ESLint rule.”

Same information. Different voice. The second one is how I actually write.

Why This Works

The profile gives the LLM explicit constraints (it knows what to avoid), positive examples (it knows what you want), context awareness (it adapts to different situations), and quality criteria (it can self-check before responding).

Without the profile, the LLM guesses. With it, the LLM executes.

Time Investment vs. Return

Creating the profile takes about an hour. A few minutes to run the memory-based prompt, 15 minutes to export and upload your writing samples, 20 minutes for the AI to analyze and enrich the profile, and 15 minutes to validate and adjust.

You use it forever. Every email, document, article, or piece of content you write with AI assistance now sounds like you instead of a chatbot.

That’s a good trade.

Bottom Line

AI can write faster and often better than you can manually. But only if you teach it how you write.

The writing style profile is that teaching. It lets you use the full power of LLMs (speed, consistency, research capability) while keeping your natural voice intact.

Generic AI writing sounds like everyone else. Profiled AI writing sounds like you.

Build your profile once. Use it every time you need AI to write something in your voice.

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Resources: My final style profile: 2000 words, covers 5 context modes, bilingual patterns, complete anti-patterns list. Validation report: 95%+ accuracy confirmed across 507+ lines of actual writing. Reusable condensed version: 200-word quick directive for rapid prompting.

Start with the memory-based prompt, refine with your actual writing samples, and you’ll have a permanent asset that makes AI work for you instead of against your voice.