Responsible-use library

Practical guidance for reading automated results carefully

Use these guides to interpret AI signals, review source matches, investigate fairly and keep context in every consequential decision.

Start with score interpretationFor educators

Eight focused guides

Choose the question you need to answer next

The library avoids detector folklore and magic thresholds. Each guide moves from an automated output to evidence a person can inspect.

A practical route

Move from an automated signal to a reviewable decision

Choose the guide that matches the output in front of you, then widen the review before deciding what it means.

  1. 01

    Identify what the tool actually reported

    For an AI-writing percentage, begin with score interpretation. For matched passages or sources, begin with the difference between similarity and plagiarism. This keeps two different signals from being treated as the same claim.

    Interpret an AI score
  2. 02

    Test plausible alternatives

    Check whether sample length, writing style, editing, document preparation or an ordinary source match could explain the result. A useful review looks for evidence that challenges the initial concern as well as evidence that supports it.

    Review false positives
  3. 03

    Place the result inside a fair process

    Use drafts, notes, version history, cited sources, the applicable policy and the writer’s explanation. Record the evidence considered and the reason for the final human judgement instead of using a detector threshold as an automatic verdict.

    Follow the review workflow

Shared foundation

Every guide begins with the same limitation

A detector analyses the submitted text. It does not observe the writing process or know the rule that applies.

AI-writing signals can be useful for triage. Source matches can focus a citation review. Neither output establishes authorship, intent or academic misconduct without additional evidence and a fair process.

Product context

Know the method before relying on the output

Review how Genutext converts scores, handles sentence results, separates source candidates and limits data retention.

Read the methodologyHow it works