I've been working in SEO and full-stack web development for years, with a growing fascination for AI. Like many in our field, I was excited about AI's potential to help with content creation. But the more I worked with AI-generated text, the more I noticed a problem.
The Problem I Couldn't Ignore
AI text just wasn't cutting it. Google seemed to rank it poorly, and more importantly, it felt flat to readers. It lacked that human touch that makes content actually connect with people. I tried existing solutions - text improvers, humanizers, whatever I could find. But they were either completely useless (barely changing anything) or clearly built for gaming detection systems rather than actually improving the text.
Most "humanizers" just swapped characters for visually identical ones or introduced random typos. That's not humanizing, that's just cheating, and it doesn't solve the real problem.
Going Down the Rabbit Hole
I got curious about what actually makes text feel human versus machine-generated. I started reading research papers on AI text detection, diving deep into the linguistic patterns that separate human and AI writing. It became a bit of an obsession.
After months of research and experimentation, I started coding my own solution. It wasn't glamorous, just me, a console application, and a lot of trial and error. You'd create a text file, paste your content, run a command, and get back a humanized version. It took about six months to get something that actually worked.
The "Are You Kidding Me?" Moment
I started showing the results to my native English-speaking friends. Their reaction? "Come on, Andrew, you're messing with us. A human obviously wrote this."
That's when I knew I was onto something real.
I built a simple web version, just one input field, nothing fancy. Shared it with friends and colleagues. Then something interesting happened: I noticed people were using it regularly. Not just trying it once, but coming back. A lot.
When I checked the logs, I saw my colleagues had quietly integrated it into their workflows. They weren't telling me about it; they were just using it to get their work done better.
From Personal Tool to HumanTone
I collected feedback, improved the system, and realized this wasn't just solving my problem, it was solving a problem a lot of people had. Content creators, marketers, writers, and businesses were all struggling with the same thing: how to make AI-generated content feel genuinely human.
That's how HumanTone was born.
We're not trying to trick detection systems or game algorithms. We're focused on the real challenge: making AI-generated text connect with human readers the way good writing should. Because at the end of the day, you're not writing for robots, you're writing for people.