Method comparison
AI detection and process evidence answer different questions.
The useful comparison is not which method produces the strongest badge. It is which question you need answered: what the finished language resembles, or what was observed while this version of the text was created.
Detection is retrospective
It can scan existing text without prior setup, making it convenient when no process record exists.
Process evidence is prospective
It must be enabled while the work is created, but it observes more than the final linguistic surface.
Both require judgment
The output must be interpreted in context and should not become an automatic verdict in high-stakes cases.
When AI detection may be useful
Detection can be applied after the fact to a document received from elsewhere. It may help prioritize review across a large collection, identify passages for closer inspection, or support an editorial quality-control workflow that already includes plagiarism and source checks.
Its convenience is also its limitation: the model sees the words, not the writer's actions. A classification must leave room for false positives, false negatives, model changes, translation, editing, and mixed human–AI workflows.
When process evidence may be useful
Process evidence is appropriate when the writer can prepare in advance and the creation trail matters. A controlled editor can record accepted changes, block transfer events inside the session, reconstruct the final text, and issue a receipt readers can inspect.
That record cannot reach outside its environment. It does not know who typed, what appeared on another device, or which ideas came from memory, research, conversation, or an AI tool consulted elsewhere.
Use the methods without overstating them
For low-stakes triage, a detector may be sufficient to prompt a question. For a voluntary public claim, a process receipt may provide a clearer record. For consequential decisions, combine multiple records, provide notice, and allow a human response.
A strong evidence system explains the collection window, the data visible to reviewers, retention, privacy choices, and the exact conclusion supported. The label should never be broader than the observation.
Side-by-side
Compare the evidence, not the slogans.
| Question | Final-text AI detection | HumanTyped |
|---|---|---|
| Primary input | Completed text supplied after writing | Ordered changes from a controlled session |
| Primary output | Classification, score, or highlighted passages | Signed receipt tied to the sealed result |
| Works without advance setup | Yes | No—the session must be recorded |
| Observes every source or device | No | No |
Evidence, not certainty