How to Train AI Tools Like Notion AI or ChatGPT to Match Your Writing Style

Quadri Adejumo
By
Quadri Adejumo
Senior Journalist and Analyst
Quadri Adejumo is a senior journalist and analyst at Techparley, where he leads coverage on innovation, startups, artificial intelligence, digital transformation, and policy developments shaping Africa’s...
- Senior Journalist and Analyst
8 Min Read

Artificial intelligence has become a powerful writing companion, from brainstorming content ideas to editing and summarising text. But to get the best results, you need to understand how to train AI tools like Notion AI or ChatGPT to write the way you do.

These models can adapt remarkably well to your tone, structure, and preferences when properly guided, turning them into personal writing assistants that sound less robotic and more like you.

In this in-depth guide, you’ll learn how to shape the responses of AI tools to mirror your natural writing voice, improve consistency across your work, and even automate repetitive writing tasks without losing originality.

What You Should Know

Learning how to train AI tools like Notion AI or ChatGPT is about more than automation, it’s about collaboration. By feeding them quality examples, giving precise feedback, and defining your tone across contexts, you can transform generic AI models into writing partners that think and sound like you.

When properly trained, these tools don’t just save time; they preserve your creative identity, allowing you to scale your voice across multiple projects without sacrificing authenticity.

1. Understand How AI Learns Your Writing Style

Tools like ChatGPT and Notion AI don’t “learn” in the traditional human sense, they recognise patterns. When you consistently provide examples of your work, tone preferences, and phrasing, the AI uses these as context to generate similar outputs. For instance, if your writing is concise and journalistic, the model will gradually reflect that when given the same type of prompts.

Start by analysing your past writing: blog posts, emails, or articles. Identify common traits such as sentence length, tone (formal, conversational, persuasive), and structure. These observations will serve as your “training data.”

2. Feed the AI High-Quality Writing Samples

If you want AI to mimic your voice, it needs exposure to your writing. Copy and paste a few representative samples into your conversation or workspace, then instruct the AI clearly.

For example:

“Study my writing style below and use it as a guide for all future outputs.”

Provide at least three to five examples that highlight your range, a formal article, a creative piece, and a professional email, for instance. The more diverse your examples, the better the AI can adapt.

3. Define Your Tone and Preferences Explicitly

AI models perform best with clear guidance. Don’t just say “write like me.” Instead, be specific about your preferences:

  • “Use short, punchy sentences.”
  • “Avoid jargon.”
  • “Write in a confident but conversational tone.”
  • “Include examples and statistics where relevant.”

These directions become a form of “micro-training” that fine-tunes the AI’s style to your expectations every time you interact.

4. Use Iterative Feedback to Refine the Output

Training AI tools is not a one-time process, it’s iterative. After each response, evaluate how closely the text matches your voice and give feedback.

For instance:

  • “Make this sound more direct, like a news feature.”
  • “Use less formal phrasing and add transitions.”

Each correction reinforces the AI’s understanding of your preferences, leading to consistently improved results over time.

5. Leverage Memory Features for Long-Term Consistency

Platforms like ChatGPT now include memory features, allowing the AI to remember your writing style, tone, and recurring topics across sessions. When enabled, you can instruct the AI to “remember that my writing style is concise, data-driven, and conversational.” Over time, this builds a personalised assistant that aligns with your long-term goals.

6. Train AI Tools for Different Writing Contexts

You may not write the same way in every situation. The tone you use for LinkedIn is different from that of a personal blog or press release. Train the AI separately for each use case:

  • Professional tone: “Use clear, factual sentences with formal transitions.”
  • Creative tone: “Be descriptive and expressive with emotional hooks.”
  • Editorial tone: “Balance analysis with storytelling and add context.”

Switching between these modes gives you flexibility while maintaining coherence within each style.

7. Build Custom Prompts and Templates

Once you’ve established your preferred tone and structure, turn your instructions into reusable prompts. For example:

“Write a 600-word article in my writing style, analytical, structured, and conversational using the outline below.”

You can also create AI templates in Notion or ChatGPT that automatically apply your writing preferences, saving time and ensuring every draft matches your brand voice.

8. Combine AI Training with Editing Tools

Even the best-trained AI still needs human oversight. Use editing tools like Grammarly or ProWritingAid to ensure the final piece aligns with your tone, grammar, and clarity. AI can learn from your corrections too, by reviewing how you rewrite its output, it becomes more aligned with your unique phrasing.

FAQs About How to Train AI Tools Like Notion AI or ChatGPT

Can AI tools like ChatGPT really learn my writing style?

Yes, but not in the human sense. AI tools recognise patterns in your tone, phrasing, and structure based on examples and feedback. The more consistently you train them with your preferred style, the more naturally they adapt.

How much writing do I need to provide for effective AI training?

Ideally, three to five writing samples that reflect your typical tone, structure, and content type are enough to start. You can refine the results further by giving specific feedback on each output.

Is there a way to make ChatGPT remember my style automatically?

Yes. If you’re using ChatGPT with memory enabled, you can ask it to “remember that my writing style is concise, conversational, and fact-driven.” It will then apply this tone across future sessions.

What’s the difference between training and prompting AI?

Training involves teaching AI your patterns over time through examples and corrections, while prompting refers to giving real-time instructions for a single output. Both methods work best when used together.

Can I use this method to train Notion AI too?

Absolutely. Notion AI can be “trained” by feeding it past notes or articles written in your voice, then instructing it to write new content in a similar tone. Creating templates with your preferred writing instructions also helps maintain consistency.

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Quadri Adejumo is a senior journalist and analyst at Techparley, where he leads coverage on innovation, startups, artificial intelligence, digital transformation, and policy developments shaping Africa’s tech ecosystem and beyond. With years of experience in investigative reporting, feature writing, critical insights, and editorial leadership, Quadri breaks down complex issues into clear, compelling narratives that resonate with diverse audiences, making him a trusted voice in the industry.
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