Decisions
Anyone who wants to say how far a machine took part in a text finds a crowded field. Some twenty approaches stand side by side, several of them older than Maschinenschrift, most of them built for a field other than literature and well built for it. This page orders them by the question each one answers, gives the reason for every omission, takes one book through all the forms, and tells which of them Maschinenschrift tried itself and gave up.
- 1. The problem
Whoever says openly how much came from the model risks more than whoever stays silent. - 2. The answers in the field
Some twenty approaches answer eight questions. Maschinenschrift answers a ninth. - 3. The omissions
Thirteen times, what is right elsewhere is left out here, each time for a reason. - 4. The test case
The same book taken through every form: most stay silent, flatten it or tell half. - 5. What was built and set aside
The obvious was built more than once and given up again, and every decision against it is dated. - 6. The objection
A notation normalises what it notates. The alternative is not less mediation but invisible mediation.
The problem
Many authors write with language models: for research, for polish, for drafts, sometimes for most of the sentences. Most of them do not say so. An open account can cost a contract, a prize, a reputation, and whoever stays silent usually gets through. Suspicion takes the place of the missing account, and it falls hardest on those whose prose does not sit in the middle of the curve.
What is missing is a form in which the author states herself how much of the sentences and how much of the thought in her book came from a language model, without the answer giving her away. Many have looked for such a form. The answers differ above all in the question they answer.
The answers in the field
The register orders the approaches by the question each one answers, and describes each one by what its own publications say. As of 28 October 2026. It is maintained; additions and corrections go to contact [at] maschinenschrift [dot] com.
| Form | Approach | Run by | What it states |
|---|---|---|---|
| A | Detection Does this text look machine-made? | ||
| Pangram | Company | Likelihood that a text was machine-generated | |
| GPTZero | Company | Likelihood that a text was machine-generated | |
| B | Process recording Can the making be shown? | ||
| Grammarly Authorship | Grammarly | Records the writing in the document and sorts the text: typed, pasted, generated or modified by AI; with a replay of how it was made | |
| C | Provenance signature Which statement belongs to this file, and who signed it? | ||
| C2PA / Content Credentials | Coalition for Content Provenance and Authenticity | Signed provenance statements bound to a media file | |
| C, E | IPTC Digital Source Type | IPTC | Vocabulary for media files, including Created using Generative AI and Edited using Generative AI |
| C, E | FAIA | Liccium with Leiden University and the GO FAIR Foundation | Declaration with three flags (Human-Created, AI-Assisted, AI-Generated), bound to the content by an ISCC code, optionally signed |
| C, G | Code of Practice on AI-generated content | European Commission, Art. 50 AI Act | Voluntary code, final since 10 June 2026: machine-readable marking by providers, labelling of certain content by deployers; Art. 50 applies from 2 August 2026 |
| D | Label Was the book made by people? | ||
| Human Authored | Authors Guild | Self-certification by contract for books published in the US, with a public database; spelling aids allowed, machine-generated text de minimis at most | |
| Von Menschen · geschrieben · gestaltet · geprüft | German children's and young adult publishers (avj) | Publishers' self-commitment that a book's creative core comes from people; explicitly no general verdict on AI | |
| Organic Literature | Books By People | Certification mark for books whose writing comes from the author; spelling and grammar checks allowed; publishers pay to join | |
| A, D | Création humaine | Librinova | Label after an analysis by detection software and an interview with an auditor |
| Not By AI | Not By AI | Badge for content that is, by the creator's own estimate, at least 90 per cent made by people | |
| E | Tiered scale Which class does it fall into? | ||
| Content Origin Badges | Credtent | Three badges for disclosing whether and how AI took part in a piece of content | |
| AI Assessment Scale | Perkins, Roe, Furze et al. | Five levels of AI use in assessment, in neutral colours since the revision | |
| F | Process taxonomy Which tasks did a tool take over, and how? | ||
| AI Usage Cards | Wahle, Ruas, Mohammad, Meuschke, Gipp | A form for reporting AI use in scientific work | |
| STM classification | STM, association of scholarly publishers | Nine categories of AI use in manuscript preparation, as a basis for publishers' policies | |
| GAIDeT | Nazarovets, Tsybuliak, Teixeira da Silva, Suchikova | Which research tasks were delegated to generative AI at which stage; responsibility stays with the person | |
| AID Framework | Kari D. Weaver, University of Waterloo | A statement at the end of a paper, organised by stage of work; CC BY-SA 4.0 | |
| AI Attribution Toolkit | IBM Research | A questionnaire that produces a statement: share of the work, what the AI contributed, who reviewed the result | |
| Faceted attribution | Geraldo Xexéo, Universidade Federal do Rio de Janeiro | Six facets from editing to traceability, applicable down to the paragraph | |
| G | Platform field What does the retailer know? | ||
| E, G | AI disclosure at KDP | Amazon Kindle Direct Publishing | Required at publication when text, images or translation were created by an AI tool; AI-assisted content need not be disclosed |
| H | Co-authorship Is the model on the cover? | ||
| Pharmako-AI | K Allado-McDowell with GPT-3, 2020 | A book that names the model as a contributor | |
Maschinenschrift answers a ninth question: what the author says, under her own name, about how much of the sentences and how much of the ideas in this book came from a language model.
The nearest neighbours are the labels and the process taxonomies. With the labels, Maschinenschrift shares place and address: a self-declaration on the work, addressed to readers. With the taxonomies, it shares the gradation and the responsibility that stays with the person. From both it leaves something out; what, and why, is set out under The omissions.
Outside this comparison lies the question of whether a text may be used to train models. It has its own signals and registers. Maschinenschrift does not address it.
Rachel So gives an overview of the whole field in A Survey on Artificial Intelligence Attribution Badges.
The omissions
Every form achieves something, and each one is missing from Maschinenschrift for a reason. The letters refer to the table above.
1. No detector (A). A detector answers quickly and without the author’s involvement; with mass-produced text that is a useful hint. But it reads only the surface and says nothing about where ideas and structure came from. Where it counts as proof, the burden of proof reverses: the author has to show that she did not do something. In Maschinenschrift the account comes from the one who knows.
2. No recording of the writing (B). A recording supports a claim, and in examinations at school and university it is in the right place. Maschinenschrift adopted one as the genesis register and withdrew it. There is also a principle: an author’s workshop is private. A recording changes the question from what do you stand behind to what can you produce. An author who wants a time trail of her own manuscripts keeps one outside the standard.
3. No signature on a file (C). A signature secures that a statement is unchanged and who made it; for images, agency reports and machine processing it is the right tool. A book appears as ebook, paperback, new edition, translation and audiobook, and each version is a different file. The declaration belongs to the work. A signature also shows who made a statement, not whether it is true. And the reader never sees it: it sits in a registry, not on the title page.
4. No review office, no certification, no fee (B, D). Where a third party stands behind a mark with a contract, an interview or a check, deception meets a hurdle. A voluntary mark cannot keep anyone out; it can give the honest a distinguishing sign. Fees and procedures hit first those who have the most to declare: self-publishing authors. And whoever checks holds power over the checked. The standard is built so that no one can fence it in, its founder included; where that rests on a self-commitment, the commitment is stated openly.
5. No yes or no (D). A label is a stance, declared openly and by name, and it has chosen the right procedure: assurance instead of measurement. Whoever holds that children’s books should come from human hands may print that on the cover. But the author whose outline a model smoothed, or whose sentences it helped to write, finds no place on a label; she is left with silence or rounding down. The scale contains the label: a book that rightly carries one stands at W 0 · G 0 and loses nothing.
6. No percentage threshold (D). A threshold such as at least nine tenths by people is simple and leaves some room. But it assumes a measurability that does not exist: a share of words, of ideas or of working hours is in each case something different. Maschinenschrift counts levels on two separate axes, and the author explains in her own words what the number means.
7. No tiered scale (E). Three tiers sort quickly, and for platforms and filters that is enough. But the cases do not lie on a line. A book with human sentences and a machine structure and one with a human structure and machine sentences land on the same rung. Two axes without an overall score say where the model was, and add up to no rank.
8. No task list (F). Where a reviewer needs to know whether the literature search or the data analysis was done by machine, a list of work steps is exactly right. The reader of a novel asks about the result: whose sentences she is reading, whose thoughts. Whether a prompt was short or detailed changes nothing in the book, and every additional field adds to the false precision.
9. No resolution down to the paragraph (F). For texts made of clearly separate parts it is precise. A novel is a whole; its sentences and thoughts are interwoven across all its chapters. The declaration belongs to the work; where parts differ, the narration says so.
10. No model name in the notation (C, F). Whoever compares tools needs the name. But models age faster than books, and a product name on the title page advertises in passing. Above all, the substrate is a medium, not an actor: the notation counts what came from it. An author who wants to name the tool does so in the narration.
11. No colour that judges (C, E). Colour makes a mark recognisable at a glance. But everyone reads green, yellow and red as a traffic light, and a traffic light passes judgement. A tiered scale from education replaced its traffic light with neutral colours for exactly this reason. The seal is black and white, a typographic notation like a hallmark: it attests a composition, not a value.
12. No compliance as purpose (C, G). Providers and platforms need legal certainty, and labelling duties and platform fields are built for that. Maschinenschrift documents and takes no legal position; using it fulfils no obligation. An account that goes only to the platform also never reaches the reader.
13. No co-authorship for the model (H). A model on the cover is the furthest openness there is, and an artistic position. But a byline is an address: it says who answers for the work. Maschinenschrift exists because the byline is the wrong instrument for this account.
Maschinenschrift shares more with its neighbours than it leaves out: self-declaration instead of measurement, a public registry, responsibility with the person, gradation instead of yes or no, open use without licence negotiation, and no detector as the foundation. What remains is a combination, not a unique feature: a self-declaration on the work, visible on the book, for readers, on two separate axes for surface and structure, with its own line for fact-checking, with a zero point that includes the labels, without review office, fee or infrastructure, built for literature.
The test case
La Scuola dei Silenzi is the first entry in the registry and the founder’s own book, published under the name I.O. Vargas. It is declared W 5 · G 3 · ausstehend: the sentences largely from the model; the originating idea, characters, rules and every decision from the author; the research structured through the model and not checked. The same book, taken through the forms of the field, as of 28 October 2026, each line following the definition the system itself publishes:
| Form | What it can say about this book |
|---|---|
| Detector (A) | It reads the surface, and the surface is largely machine-made. About the originating idea, the characters and the decisions it says nothing. |
| Process recording (B) | Nothing. The writing was not recorded, and it cannot be recorded afterwards. |
| Labels (D) | No statement. The labels admit machine-generated text in small amounts at most; the book has to stay silent. |
| KDP’s platform question (E, G) | AI-generated: text created by a tool counts as generated there, even after substantial editing. It is the same answer as for a text in which no one decided anything, and it goes to the platform. |
| FAIA’s three flags (C, E) | Each flag fits only one half. AI-Assisted fits the structure the author answers for, AI-Generated the sentences that came largely from the model. Whichever flag is chosen leaves the other half unsaid. |
| Process taxonomies (F) | Expressible, as a list of work steps. Whose sentences and whose thoughts are on the page, the reader has to infer. |
| Maschinenschrift | W 5 · G 3 · ausstehend, with eight sentences of narration in the author’s own words, in the catalog. |
What was built and set aside
Maschinenschrift was itself made with a language model. Most of the sentences on this site came from the substrate, as they did in the novel the project began with. The history of the project therefore does not show that it was made without a model. It shows the decisions, which is what the Geist axis is about: which proposal stands and which falls.
The project built or adopted several of the forms in the field itself, and gave them up again.
| 2026 | Decision | Reason |
|---|---|---|
| 21 May | A certification mark on the model of quality seals is dropped, and so is a registry with a review office that had been built and tested: sign-up form, confirmation mail, editorial approval, running numbers, encryption, annual review. An open standard with a registry takes their place. | A standard that makes people ask for permission is not taken up. A medium needs no supervisory authority; it needs a language. |
| 24 May | Maschinenschrift becomes a register-keeper, not an assay office: every value is the author’s statement. | The project cannot check the values, so it does not certify them. |
| 24 May | A genesis register is adopted and withdrawn on the same day: registration date, checksums of drafts, a weekly time anchor. | It can still be gamed, it forces authors into confirmation mails, and every such mail is a template for phishing. |
| 3 June | An imprint under the standard’s name is given up. | Whoever runs the standard does not publish, under that name, books that declare by it. |
| May to August | The axes are renamed three times, until their names say what the numbers measure: Wortlaut, Geist, Beleg. The values stay as they were. | A name that promises something other than what the number measures is replaced. |
| 2 August | The first book is re-assessed, from W 4 · G 2 to W 5 · G 3. | The finished version was more mediated than the first declaration. The declaration follows the work. |
| 11 August | No spot checks. | A spot check without a means of checking would be an empty gesture, or detection through the back door. |
| 24 August | The Beleg axis now asks whether the work’s factual statements were checked against sources outside the model. | The factual layer is the one a model fills most confidently and least reliably. |
| 29 September | The model gets no contributor line, on any platform. | A byline says who answers for the work, and a model cannot answer for anything. |
In this field the obvious move is infrastructure: a registry, a review, a ladder with three rungs. Maschinenschrift built the obvious more than once. What sets it apart from its neighbours lies where it decided against it, and each of those decisions is dated.
This page declares itself, the only one of the core pages to do so: W 5 · G 3 · belegt. The sentences came predominantly from the substrate. A substantial part of the order came as proposals from there; which proposal stood, which name fell and what the page does not claim was decided by the founder. Every statement about a neighbour has been checked against the neighbour’s own publications, as of 28 October 2026. The seal stands at the end of the page.
The objection
Whoever provides a form makes the formed thing more visible. A clean notation for mediated literature normalises mediated literature, even with no one promoting it. From the side of the labels, which declare a stance, this objection weighs heavily, and it is not cleared away here.
The project accepts it, because the alternative is not the absence of mediation. The alternative is its invisibility. The comparison is not a mark against nothing, but an account against silence. The size of the undeclared mass has since been measured: The Flood and Its Bed.
How the seal is read is set out in the introduction; it can be put together in the seal generator, and the meaning of the axes is governed by the Foundation.