Use case
Before submitting a paper, manuscript, or assignment to a school, journal, or platform, a student, author, or contributor must prove the text was written by them rather than generated by AI, in order to pass the institution's originality review.
Today this is handled mainly by AI-detector scores, the author's verbal or written originality declaration, or self-kept drafts, version histories, and edit logs as scattered supporting material.
Institutions widely require originality declarations and deploy AI detectors, yet authors hold no verifiable evidence of their writing process and must accept detector verdicts; when falsely flagged as AI-generated, they have no appealable proof and may face rejection, voided grades, or misconduct allegations.
xOcto's call
Demand is evidenced
The trend is that once AI-generated text is common, the writing process itself needs to be provable, creating demand for self-certification beyond detection and anti-detection. Entry could be schools, journal editorial offices, or content platforms that already require originality declarations, embedding proof into the existing submission flow; but what evidence makes the claim hold must be clarified first, or it is just another detector.
Reason to use it
Why users would choose it
Inference: compared with submitting only a detector score or a verbal declaration, if iwrote turns the writing process into institution-verifiable proof, authors gain an artifact they can attach at submission and grounds when falsely flagged, so students and contributors facing originality review would choose it before submitting; however, the public material does not state what evidence it collects or who accepts it, so this causal link is not yet confirmed by user feedback
Where the easy answer breaks down
The tension worth following
An English validation note will follow from the public evidence.
If this is your job
Worth trying. Inference: compared with submitting only a detector score or a verbal declaration, if iwrote turns the writing process into institution-verifiable proof, authors gain an artifact they can attach at submission and grounds when falsely flagged, so students and contributors facing originality review would choose it before submitting; however, the public material does not state what evidence it collects or who accepts it, so this causal link is not yet confirmed by user feedback
Entry and what to borrow
The trend is that once AI-generated text is common, the writing process itself needs to be provable, creating demand for self-certification beyond detection and anti-detection. Entry could be schools, journal editorial offices, or content platforms that already require originality declarations, embedding proof into the existing submission flow; but what evidence makes the claim hold must be clarified first, or it is just another detector.