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Editorial policy

Clarity starts with standards.

Our editorial standard is simple: help the reader understand the topic and make an informed decision.

Sources and accuracy

Technical claims should link to primary documentation where possible. Time-sensitive prices, product features and specifications must be checked when an article is prepared or updated. We do not present unsupported statistics as facts.

Reviews and comparisons

A product is described as hands-on tested only when the article explains what was tested and how. Research-based comparisons identify that approach. Decision checklists are guidance, rather than product endorsements.

AI assistance

AI may assist drafting, organisation or editing. Human review remains necessary before publication. Generated text must not be used to invent quotes, research, personal experience or testing results.

Commercial relationships

Sponsored content and affiliate relationships are disclosed in the relevant article. A commercial arrangement does not remove the requirement for accurate, relevant content. Paid links use appropriate link attributes.

Corrections and updates

If a material error is identified, we review it and correct the affected content. Significant updates should be explained where they change the article’s meaning.

Request a correction through our contact page.

Practical example & checks

A concrete editorial review and correction checklist

CheckRequired evidence
Task completionA reader can identify the input, steps and expected outcome
Product factsCurrent primary documentation; no invented price or feature
ExamplesLabel authored examples; reserve “tested” for observed work
CalculationsIndependently recompute answers and preserve units
ImagesRelevant subject; distinguish illustrations from real interfaces
Commercial linksReview relationship, disclosure and link attributes
CorrectionRecord the changed claim and supporting source

Examples added on 19 October 2026 are original teaching material unless explicitly labelled as observed tests. A sample output is an acceptance target, not proof that a named model produced it. Contact editor@thinkquarry.com with the page URL and source when a factual claim needs review.

Original ThinkQuarry teaching material added 19 October 2026. Hypothetical examples are not product-test results.