Editorial Standards

Lunchbreak AI publishes practical guidance for students navigating AI detection, academic integrity, and responsible writing workflows. Our goal is clarity, not certainty theater.

How we research

We prioritize official university, education-platform, and product documentation. When a policy is unclear, we say so instead of inferring it from common practice. We distinguish university-wide rules from department, course, and instructor-level guidance.

How we review tools

Detector and humanizer coverage describes what a tool reports, how results can vary, and where the method is limited. A score is treated as a probabilistic signal, not proof of authorship or misconduct.

How we update pages

We review time-sensitive guidance as products, policies, and platform behavior change. Pages show publication and update information where available. University pages include a verification note so readers know what should be checked against current course instructions.

Corrections and feedback

If a source is outdated or a claim needs correction, contact the Lunchbreak team with the page URL and supporting evidence. We prefer precise corrections over silent edits and will update affected guidance when the evidence supports a change.

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