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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”