Loch Ness · HUMAN WRITING · Freelance writing
Part of: Accused of Using AI? How to Prove You Wrote It, in the guide Do AI Detectors Actually Work? What the Research Says
By Camille G., founder of Loch Ness · Published September 29, 2026 · Last updated September 29, 2026
Short answer: the best time to reassure a client is before they ever wonder. Say how you use AI (and don’t) in your proposal, write where your process leaves a trace, and if a client does run a detector, answer with your version history rather than an argument. Here’s the whole playbook, including an email you can adapt.
Human Origin Label · For freelance writers Give clients proof before they ask for it. One review of your writing process, live or in a screen recording, and a verification page you can add to every proposal. Get verified, it’s free → Not ready for a review? Get the free self-declared badge →Why this matters now
Detectors have cost freelancers real work. In June 2024, Gizmodo reported writers and journalists losing jobs after detection software wrongly classified their writing as AI-generated (summary on Wikipedia). Clients aren’t being unreasonable when they worry about AI. They’re just often relying on a tool that can’t answer the question.
Before the project
- State your AI policy in the proposal. One or two plain sentences: “I use a grammar checker. I don’t use AI to draft, outline or rewrite your content.” Clear beats vague.
- Write in a shared document. If the client can see a Google Doc taking shape over days, the question rarely comes up.
- Keep your drafts and notes for every project, at least until the invoice is paid. What to keep: drafts and notes as a paper trail.
- Consider a record-as-you-write tool, or a verified label with a public page you can link in your proposals.
If a client runs a detector on your work
Stay calm and move the conversation from the score to your process. Something like:
“Thanks for flagging this. I wrote this piece myself, and I’m happy to show you. Here’s a short screen recording of the document’s version history, from the first outline on Monday to the final edit on Thursday. For context, these detectors are known to be unreliable: OpenAI withdrew its own for low accuracy, and a Stanford study found they wrongly flag a large share of human writing. I’m also happy to jump on a call and walk you through my choices.”
Both facts in that email hold up: OpenAI withdrew its classifier on July 20, 2023, citing its low rate of accuracy (OpenAI), and Stanford researchers found seven detectors wrongly labeled 61% of essays by non-native English writers as AI-generated on average (Patterns). How to prepare the recording: using version history as proof.
If they still don’t believe you
- Offer a short live call where you talk through the piece. People who wrote something can discuss it in depth without preparation.
- Ask what evidence would satisfy them. Sometimes the answer is simple.
- Protect yourself for the future: deposits, milestone payments, and a written AI policy in your contract.
- And sometimes, a client who trusts a percentage over your documented work isn’t a client worth keeping.
Back to the full method: how to prove you wrote it.
Full disclosure: Human Origin, the label mentioned on this page, is something I created. I’m flagging it so you can weigh what I say about it. The facts above rest on the sources below.
Sources
- Wikipedia — Artificial intelligence content detection (reporting on freelance job losses)
- OpenAI — New AI classifier for indicating AI-written text (with the July 2023 discontinuation note)
- Liang et al. — GPT detectors are biased against non-native English writers, Patterns (2023)
Update log
September 29, 2026 — First publication.
