Blog
How AI-prose detection actually works, where it fails on fiction, and how we built Slopsleuth differently.
Why human-written fiction triggers AI detectors, which styles are most at risk of false positives, and what actually protects you before you query or publish.
What KDP requires you to disclose about AI-generated vs AI-assisted fiction, the gray zone hybrid drafts live in, and a sane pre-publish checklist.
Generative models write fiction with a recognizable fingerprint. The seven structural tells we see most often in AI-generated manuscripts — with concrete examples and the craft reason each one happens.
A plain-English explanation of perplexity, burstiness, and classifier-based detection — and the specific reason literary fiction produces so many false positives in general-purpose tools.
How to triage a slush pile for AI-assembled manuscripts, how to raise it with a writer without burning the relationship, and why a detector number is a starting point, never a verdict.
Perplexity-based detectors routinely misclassify minimalist literary prose. We tested The Sun Also Rises through both Slopsleuth and a generic AI detector. The results explain why fiction needs its own audit framework.
We ran the same five public-domain novels through GPTZero and Slopsleuth. Here's where each one succeeds, where each one fails, and which agents should use which tool.
So-called humanizer tools promise to launder machine text past detectors. What they really change, what they don't, and why deep revision is the only thing that moves a structural fiction audit.
