What should AI detector tools show before users copy or export a report?

[sumytbe]

I have been thinking about AI detector tools as a software workflow rather than a single "AI score" widget.

When someone pastes text or uploads a document, the UI can return a report with a probability-style score, sentence highlights, reliability notes, and limitations. The useful part is that it can point a reviewer toward passages worth reading again. The risky part is that a polished score can look more certain than it really is.

For people who build or review web apps, what should happen before the user copies or exports that kind of report?

The minimum I would expect is:

1. A clear input boundary for pasted text versus document files.
2. Limits shown near the workflow, including minimum text length and maximum file size.
3. A report label that says the result is a signal, not proof of who wrote the text.
4. Sentence highlights and evidence notes alongside the global score.
5. Reliability notes when the sample is too short or lacks enough sentence variety.
6. False-positive and false-negative caveats that remain visible in copied/exported summaries.

I am trying to avoid the pattern where a clean report card becomes the whole product story. For AI detection, "review this evidence in context" seems more honest than "trust this score."

Would you keep the warning text visible on every report, or make it collapsible so the main result stays easier to scan?

Disclosure: I work on a small AI detector/reporting workflow, but I am intentionally not linking it here. I am asking about software and report design, not promoting a site.

[Barney T. Administrators]

Thank you for the post. Just a FYI that links to an outside site or promoting specific software is considered spamming here. Asking general questions is fine.