Editorial
The humanise.ai blog
Editorial guides to AI writing, AI detection, and the craft of prose that reads as human. Written in house, reviewed before publication.
"The art of humanisation lies not in mimicry, but in understanding the architecture of authentic thought."
Turnitin vs GPTZero: Which Is More Accurate?
An independent breakdown of Turnitin and GPTZero on accuracy, false positives, price, and use case. Written by neither vendor and no affiliate — third-party perspective.
How to Humanize AI Content (Without Sounding Fake)
The five rewriting moves that actually work, the three that don't, and what to do when the rewrite still reads as AI. A practical, structural-level guide to humanizing AI text.
The Art of Humanising AI Text
LLMs optimise for likelihood, not voice. We break down the five dimensions of human-sounding prose — rhythm, burstiness, idiom, concession, stance — and the editorial moves that bring each back in.
Turnitin AI Detection in 2026: how it works, what to do
Turnitin's 2026 engine analyses perplexity and burstiness. What the classifier actually measures, how often it gets it wrong, and how to write (with or without AI) in a way that reads as human.
GPTZero Explained: what it measures, where it fails
GPTZero uses a dual-score system — perplexity per sentence and burstiness across paragraphs. We explain the scoring model, its documented false-positive rates, and what that means for your writing.
Why AI Writing Sounds Robotic — and how to fix it
Large language models optimise for statistical likelihood, not human authenticity. We break down the linguistics of why AI prose feels flat and the precise techniques to give it voice.
The Complete Guide to AI Tools for Dissertation Writing
From research synthesis to final polish, AI tools have changed how students approach dissertations. Which tools to use at each stage — and how to keep your own voice in the final draft.
Originality.ai Review 2026: How accurate is it, really?
We ran 500 samples through Originality.ai's latest model to find out exactly how accurate it is in 2026 — its true-positive rate, its false-positive rate, and where it consistently falls short.