Category: AI Detectors

At this point, I’ve used a lot of AI detectors. Sometimes out of curiosity, to test how trustworthy they really are, and sometimes out of necessity. I’ve tried them out from the perspective of a publisher, looking for generic AI slop before I post something, as well as from the perspective of a teacher, and a recruiter. Looking at them from the lens of a law firm has probably been the trickiest.

The problem with the kind of text law firms generate every day is that it’s already a bit machine-like, if you think about it. Contracts are supposed to be repetitive. Briefs are formal. Summaries follow a specific structure. Even the language is packed with jargon. It’s easy for AI detectors to see all those things and assume a GPT got involved.

I think firms looking for help with checking AI content need something very specific. Accuracy is still important, but you’re also looking for a system that understands the kind of content they’re creating isn’t going to be the same as something you’d see on a blog.

Continue reading “Best AI Detector for Law Firms: The Tools I’d Trust With Legal Text”

I’ll be the first to admit that AI can be helpful. I still hate a lot about today’s AI-centric culture though. It’s starting to make people lazy, particularly when it comes to creating content, which is obviously something I take quite seriously.

Of course, there’s some AI-generated content that’s more dangerous than others. You might roll your eyes at a blog post with ChatGPT’s influence splashed all over it, but publishing it probably won’t affect much beyond your reputation, and maybe your ranking potential.

Hiring a person based on an AI-generated resume is a totally different matter, and one that’s becoming more serious, now that about 90% of teams say they’ve received an increasing amount of low-effort and spammy applications thanks to AI.

You could recruit a team member based on a totally fabricated story (and an incomplete list of skills) if you miss evidence of AI in an application. You could also cost someone their career if you assume a resume is machine-written and get it wrong. It’s a thin line.

Continue reading “Best AI Resume Scanners: 4 Tools I’d Use to Catch AI-Written Applications in 2026”

I’m a huge fan of LinkedIn, personally, it’s a great place to find out what’s happening in your industry, look for new opportunities, and connect with colleagues old and new. Lately though, I’ve started to feel a bit more suspicious about what I read there.

A lot of posts have started to sound oddly similar, like they’re all based on the same template, which of course, gets me questioning whether a human being had anything to do with them at all.

Continue reading “Best AI Detectors for LinkedIn Posts: I Tested the Ones Worth Using”

Based on hands-on testing of a dozen AI detector Chrome extensions across human-written, AI-generated, and humanized content samples, Pangram is the best AI detector Chrome extension because it consistently catches AI content (even when humanized or AI-assisted) while maintaining the strongest false-positive track record in the category, validated independently by researchers at the University of Chicago and University of Maryland.

In this guide, you’ll see exactly how each of the top five Chrome extensions performed, what they’re best at, where they fall short, and which one fits your specific use case, whether you’re a teacher grading essays, a publisher reviewing submissions, or just a reader trying to figure out what’s real on your feed.

Continue reading “Best AI Detector Chrome Extensions For Teachers, Editors, And Review Teams”

Everyone knows I have a bit of a love-hate relationship with AI detection tools, and I don’t think I’m the only one at this point. They can be very useful, particularly if you’re a bit more skeptical when it comes to deciding whether anything you read was actually produced by a human these days.

Most of the tools I’ve used in the past tend to focus on analyzing larger chunks of content, like essays, interviews, or blog posts, but there are a handful out there that can also check shorter bits of text, like social media posts on X.

Continue reading “Best AI Detectors for X (Twitter): What to Use If You’re Trying to Spot AI Slop on X”

Quick verdict: If you want one alternative to Originality.AI that solves the biggest problem (false positives), go with Pangram. It catches AI-generated content as well as Originality.AI does, but it’s far less likely to flag genuine human writing as machine-made. GPTZero is the better pick for educators and quick classroom checks, Winston AI is worth using when you need to scan PDFs, scans, or images, and Copyleaks makes the most sense for multilingual teams and institutions with LMS or API needs.

I don’t think Originality.AI is a bad tool, even if I’ve complained about it a few times in the past. A lot of publishers use it, so naturally, I’ve used it a lot myself. I just don’t trust it 100 percent. Really, I wish more people felt the same way.

Originality.AI is good at a lot of things. It’s very good at detecting machine-generated content, particularly if people are using models from OpenAI, or Anthropic. It can scan full websites at once, provide people with sentence-level color-coded reports, and even combine AI detection with plagiarism insights and readability analysis. All good things.

What got me looking for Originality.AI competitors was really one main thing: the issue with false positives. A lot of platforms have that problem, but Originality.AI seems to struggle with it worse than most in some categories.

Continue reading “Best Originality.AI Alternatives in 2026: 4 Tools I’d Actually Use”

It’s a little funny how hyper-suspicious we all are of content these days. Every time I see an em-dash or a phrase like “in today’s fast-paced…blah blah” it’s like an alarm goes off in my head. I know I’m not the only one. We’re all sick of seeing the same regurgitated junk in content, whether it’s in an essay from a student, an article, or in a job application.

Still, you can’t just go around accusing everyone of delegating all their work to ChatGPT, as tempting as that might sound. You need some kind of “proof”, which is why most people rely on AI detectors.

Unfortunately, most of those aren’t 100% reliable either. So really, if you want to detect ChatGPT in someone’s “robotic-sounding” work, you need two things: a detector, and a bit of judgment.

Continue reading “How to Detect ChatGPT AI Content: A Simple Guide Using Pangram.AI”

I’ve used Copyleaks for a while now, mostly for quick plagiarism checks when I’m reviewing other work. It’s still very good on that front. Compared to most tools, Copyleaks gives you a lot of the stuff you actually need when you’re “checking” content. It integrates with Learning Management Systems like Moodle and Canvas, and offers pretty good sentence-level reports.

It’s also one of the more versatile options out there, because it supports multiple languages (a lot of detectors still get stuck on English).

What really pushed me to start looking at alternatives were the AI detection features. They’re not terrible. Copyleaks often gets mentioned as one of the most accurate options for identifying AI-generated and even hybrid (human + machine) content.

Continue reading “The Best Copyleaks Alternatives: 4 Tools I’d Actually Trust”