Guides
Each guide opens with the answer, then the evidence, then the sources. Written and checked by a person; dated so you know how old the facts are.
- How AI text watermarks work
A plain explanation of statistical text watermarks (SynthID, textGrain, the Claude watermark): how the mark is embedded in word choice, how detection works, why length matters, and what a positive result does and does not prove.
- Which AI models watermark their text?
A dated table of which AI models and products apply a text watermark, where it applies, whether users can opt out, and who can detect it: Gemini, Claude, ChatGPT, Codex, the OpenAI API, and open-weight models.
- Does paraphrasing remove AI watermarks?
Yes, a full rewrite removes a statistical text watermark, and light edits weaken it in proportion to how many words change. The numbers from Anthropic, OpenAI and the research literature, and what survives a rewrite.
- How accurate are AI detectors?
What detector accuracy claims mean, why vendor numbers are not comparable, the false positive problem for non-native writers, and where to find a fair comparison.
- How to check whether text is AI-generated
An honest method for checking text for AI generation: provider watermarks (gated), classifier detectors (fallible), provenance metadata (rare for text), and process evidence (the one that holds up). What each can and cannot tell you.
- What to do when a detector flags your writing
A practical guide for students and writers flagged by an AI detector: the evidence that proves your process, what the vendors themselves say about their scores, the research to cite, and how to respond.
- Turnitin AI detection, explained
How Turnitin's AI writing indicator works, what the percentage means, what bypasser detection added in August 2025, the language and length limits, and why some universities switched it off.
- Humanizers versus detectors: the arms race
How AI humanizer tools and AI detectors have chased each other since 2023, what changed when Turnitin and Pangram began training on humanizer output, and why no result from last year still holds.
- EU AI Act Article 50, explained
What Article 50 of the EU AI Act requires for AI-generated text, the provider and deployer duties, the August 2, 2026 start, the Code of Practice's two-layer marking approach, and what it does not require.
- California's AI Transparency Act, explained
What California's AI Transparency Act requires after AB 853: provider disclosures and detection tools from August 2, 2026, platform provenance duties and the ban on stripping provenance from January 1, 2027, and capture-device rules from 2028.