One report-import pass across detectors, same flagged-span workflow

Charles Li · HumanPen · cross-detector-report-one-pass

Students often juggle more than one detector brand. The literacy move here is one report-import pass across detectors with the same flagged-span workflow—not a separate wash tool per logo.

Distinct from recheck-after-detector-update (after a vendor change), similarity-vs-ai-two-scores (two instruments), and import-pdf-report-same-as-docx (container format). Here the point is one literacy pattern: import → map → rewrite flagged continuous prose.

Better order

1. Pick the report your course actually uses for this attempt; export the full AI writing view.
2. Import that report; confirm attempt identity; read that detector’s legend once.
3. Rewrite only the highest-flagged continuous-prose spans; freeze citations, numbers, formulas, and layout.
4. Do not paste the whole paper into a second “universal wash” just because another brand exists.
5. Re-import a fresh report from the same detector before the next free round.

Why one workflow beats brand-hopping

Shopping detectors until one looks softer confuses evidence and supervisors. A single import → map → targeted rewrite pattern keeps the draft comparable across rounds.

What this is not

• Not a guarantee any detector’s next percentage will drop or clear.
• Not advice to hide authorship or to chase “undetectable” output.
• Not a substitute for your course integrity process if one is opened.

Product: humanpen.net. Charles Li · HumanPen.