Research and guides on AI text,citations and document evidence.
Understand the signal, verify the claim. Deep, practical guides to AI detectors, better writing, AI-generated images, deepfakes and provenance - written for people who need to decide what evidence actually means.
Start with thequestion you have.
Each guide is built for search and AI answers: clear definitions, practical decision frameworks, concise FAQs, and links into the Stipple tools when the reader is ready to check something real.
How document fraud detection actually works — 43 checks, and why 17 of them are not about fraud
What a forensic document check actually inspects: 43 signals across two axes, why arithmetic beats appearance, and why a clean result is coverage rather than a certificate.
Read the guideWhy AI agents get tables wrong — and what to do instead
Agents misread tables because they are shown a picture of one. What rasterisation throws away, why a native PDF already holds the answer, and how to test any extraction tool.
Read the guideSanctions and adverse-media screening, for developers who have to justify the result
How a screening API decides a name matches: corroboration gating, why a name-only hit is never strong, what same-name exclusion looks like, and what this data does not cover.
Read the guideGovernment tender search, and the coverage question nobody answers
Tender data is public and scattered across a dozen portals. What aggregation actually costs, why an empty search result is ambiguous, and why the source registry matters more than the count.
Read the guideWe removed a watermark from a PDF. Here is what it left behind.
We watermarked a PDF, removed the watermark three different ways, and ran every version through document forensics. The removal trail — revisions, redefined objects, modification metadata — and the one method that leaves none.
Read the guideOne in 771: AI-generated evidence has reached AFCA — barely
We searched the full text of 771 published AFCA determinations (June–August 2026) for generative-AI phrases. Exactly one mentions AI-generated documents — and it shows how an ombudsman spotted them, and why they were refused.
Read the guideAI fact checker: how to verify an AI-written report, step by step
What an AI fact checker can actually verify — citations, arithmetic, contradictions — and what it cannot. A step-by-step workflow for checking AI reports, the best fact-checker websites by job, and the measured rate of fake citations.
Read the guideClaude’s invisible text watermark: what it proves, and what it doesn’t
Anthropic is embedding invisible watermarks in Claude-generated text from August 2026, using a version of SynthID-Text. What the mark proves, what removing it takes, and why absence proves nothing.
Read the guide39 of 101 citations in AI-written reports did not exist
We asked language models for referenced reports and checked every citation. 38.6% did not exist as cited — and the rate doubled when the topic thinned out.
Read the guide94.7% detection across 12 language models
We generated documents from 12 language models and detected 94.7%, then measured what most vendors leave out: false accusations of human writers.
Read the guideFour payslip forgery types caught every time, one we gave up
We forged 192 of 210 Australian payslips six ways and ran each through the same forensic checks. Four types were caught every time. One we gave up.
Read the guideThe 10 best AI detectors in 2026, compared honestly
Ten AI detectors compared on what actually matters — explainability, false positives, abstention, access — with an honest methodology, a comparison table, and the failure modes every vendor shares.
Read the guideAI detector guide: what the score means and what to do next
A plain-English guide to AI detectors, AI checker tools, free AI detection, false positives, and how to review AI-writing results fairly.
Read the guideAI hallucinations: why models make things up — and the one kind you can check
What an AI hallucination is, why models invent facts and sources, real examples — and the one hallucination you can verify: citations that don’t exist.
Read the guideHow to humanize AI writing so it actually sounds like you
A beginner-friendly guide to humanizing AI text, improving AI writing, using AI humanizer tools responsibly, and avoiding generic AI-sounding prose.
Read the guideAI paraphrasing guide: rewrite clearly without changing the facts
A clear guide to AI paraphrasing tools, paraphrasing without plagiarism, preserving meaning, and checking rewritten text for accuracy.
Read the guideAI image detection: how to check if an image might be AI-generated
A simple guide to AI image detectors, image provenance, C2PA, metadata, synthetic image signals, and how to check an AI-generated image responsibly.
Read the guideDeepfake detection: how to spot synthetic media without overreacting
A practical guide to deepfake detection, synthetic media, provenance, and how to verify suspicious images, documents, video, or audio claims.
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