
Teaching AI to Write Like You: A Guide to Generative Blogging Without Losing Your Voice
What happens when you train AI to write like you — but not copy you?
That’s the experiment I recently ran: building a tool that analyzes my old blog posts, extracts the essence of my writing style, and then generates completely new content in my voice. The results? Uncannily good.
In this post, I’ll walk through how it works, why it works, and how you can build your own.
Why I Built This
As someone that dislikes writing, one of my biggest bottlenecks isn't ideas — it's time. I wanted something that:
- Generates blog posts aligned with my style and tone.
- Doesn’t repeat what I’ve already said.
- Understands structure and nuance, not just keywords.
- Feels like me — not a marketing intern or a ChatGPT bot.
What This Script Does
The script is a Python app that:
- Reads your past blog posts (in Markdown format).
- Defines your voice and style through a written prompt (the “style guide”).
- Lets you pick a topic (e.g., Bitcoin, fiat, AI).
- Uses OpenAI’s GPT-4o-mini model to write a fresh post.
- Saves the result to a new Markdown file, ready to publish.
Core Principles
Here’s what makes it work:
-
Prompting as Craft
The key isn’t just “use AI” — it’s how you talk to it. We guide the model with past writing samples and a curated style guide. -
No Paragraph Recycling
The script explicitly tells the model not to repeat content — this ensures fresh takes on familiar themes. -
Topic Confinement
Each generation is focused on a single, clear theme, which prevents vague, rambling output.
The Style Guide
This is the tone I gave the AI:
You are a tech-forward blogger with a sharp, principled, anti-hype tone. You write like someone who values clarity, historical context, and intelligent resistance to centralized systems (like fiat, big tech, or biased AI). Your blog posts are structured with subheads, bullet points, music recs, and questions at the end. You cite sources and think in systems.
You can (and should) customize this. Think of it as a mirror of your literary ethos.
The Process: Step by Step
🗂 1. Load Your Old Posts
The script scans a folder (./current
) for .md
or .mdx
files and loads up to ~3,000 words. These serve as writing samples — like training examples, but lightweight.
🧭 2. Guide the AI
We hand GPT a combination of your past writing and the style guide. It’s not trained on your work — it’s prompted with your work. Big difference.
💬 3. Choose a Topic
Three are built-in by default (bitcoin
, fiat
, AI
), but you can extend this list.
🤖 4. Generate the Blog
The script uses gpt-4o-mini
— fast, cheap, and contextually aware — to produce an original blog post in your style on the selected topic.
💾 5. Save and Publish
The post is saved into the ./generated
folder, timestamped and slugified. From there, you can polish, tweak, or publish as-is.
The Full Python Script
The full script is open and modifiable. Check out the GitHub repo (if you decide to publish it).
But here’s the high-level structure:
reference_blogs = load_existing_blogs()
prompt = f"{STYLE_GUIDE} \n\nHere are past blogs: {reference_blogs} \n\nWrite a new post on: {topic}"
response = openai.chat.completions.create(...)
And the save function:
filename = f"{title.replace(' ', '_').lower()}_{datetime.now().strftime('%Y%m%d')}.md"
Simple, but powerful.
Why This Works So Well
-
Reference + Reinvention
Instead of blindly prompting ChatGPT, we show it “how you write” and tell it to go somewhere new. -
Voice Consistency
By conditioning output on style and structure, we maintain tone while generating new ideas. -
No Copy/Paste Pitfalls
This isn’t “rephrasing” your old blogs — it’s crafting new content, guided by past signal.
Run It Yourself
✅ Prerequisites
- Python 3
openai
Python package:pip install openai
📂 Folder Structure
/current # Place your existing .md or .mdx blog files here
/generated # AI-generated posts will be saved here
🔑 Your OpenAI Key
Put your API key in the script:
openai.api_key = "sk-..."
For safety: Use
.env
or environment variables in production.
🚀 Run It
python blog_generator.py
Pick your topic, wait a few seconds, and boom — you’ve got a blog.
View Code on Github
Let's connect
-
I enjoy collaborating with small teams, startups, or creative businesses—especially in fully remote settings. If you’re looking for someone who bridges tech, marketing, and infrastructure, I’d love to hear from you.