Writing provenance versus AI-text detection
Writing provenance and AI-text detection answer different questions. A process record describes observed actions while a document was produced. An AI-text classifier estimates a label or score from the text supplied to it. Humanly Cloud's central evidence is the recorded writing process and its configured context; its source percentages are not AI-text classification probabilities.
Compare the evidence, not just the score
| Question | Recorded writing provenance | AI-text classification |
|---|---|---|
| What input is needed? | Activity recorded during a supported writing session | A passage or finished document supplied for classification |
| What can the result describe? | Observed edits, input sources, in-platform assistance and task settings | A model's assessment of the supplied text |
| Can it reconstruct an earlier unrecorded draft? | No; importing a final document does not recover its missing history | A classification does not reconstruct the editing history |
| What remains uncertain? | Unobserved assistance, idea origin, intent and other outside activity | The actual sequence of actions that produced the text |
| What must a reviewer add? | Task rules, context, the writing itself and interpretation of coverage | The classifier's validation conditions, uncertainty and independent context |
This comparison describes the approaches, not a ranking of vendors. A specific product may combine multiple forms of evidence. Check what a product actually observes and what its report claims before treating similarly named scores as equivalent.
What does Humanly add?
Humanly connects writing controls, recorded activity, source attribution and available replay in a certificate. A reader can ask a concrete question, such as whether an AI suggestion was applied to a paragraph or how a passage developed. The certificate also preserves context about the writing environment.
A shared certificate's full text and history depend on its display settings. A reader should identify which evidence is actually available before interpreting a summary. See what certificates can show for the difference between final-text composition, process totals and the integrity seal.
For example, a writer may type an initial argument, paste a quotation, accept permitted polishing and delete several earlier paragraphs. A process view can distinguish those recorded actions. That does not establish that the argument's ideas were formed without outside help or that the quoted material was cited correctly.
Is Humanly's typing detector an AI-text detector?
No. Auto Typing Detector evaluates recorded writing behavior for signs of automated typing. Its object is the interaction pattern, rather than whether the final prose resembles AI output. Abnormal Behavior uses separate event rules. Either kind of signal can require further review, and a detector may be disabled or lack enough usable evidence.
Research performance for a typing detector does not establish accuracy for detecting AI-written prose. The research guide provides the Humanly paper's study context and limitations without treating benchmark results as guarantees for an individual writer.
Which approach fits the decision?
If you can arrange the writing workflow in advance and need to inspect how work developed under stated permissions, a configured process-recording environment is relevant. If only a finished document exists, its earlier Humanly activity cannot be created retrospectively. Keep any later classification separate from claims about an observed history.
Neither approach should substitute for reading the work and considering the applicable rules. A course that allows AI assistance needs a different interpretation from a task that disallows it. A typed-input record is not proof of intellectual independence, and a valid certificate signature verifies protected records rather than authorship truth.
The Humanly product discussion explains the motivation for recording process evidence. Start with the product guide for available workflows or AI policy for their boundaries. Consult the privacy policy when deciding what process evidence is appropriate to collect or share.
Reviewed: 2026-09-24.
Applies to: Humanly Cloud release baseline 75eba744, checked against source revision d5818c71 on 2026-09-24. Product descriptions cover capabilities shared by that release and source, not a new deployment. Available controls and evidence depend on the writing setup. Research findings refer to arXiv:2607.21758v1.
Canonical: https://cloud.writehumanly.net/reference/provenance-vs-ai-detection