PUBLISHED AUGUST 3, 2026

Editorial Standards

Return My Time publishes practical guidance for business owners making decisions about AI, software, workflows, knowledge, and services. These standards explain how we choose a method, evaluate evidence, and remain accountable for what we publish.

Article scope and reader question

Before candidate research begins, we define the territory, category boundary, reader question, included use cases and candidate classes, and explicit exclusions, so unlike tools serving different problems are not compared as if they solve the same job.

Territory identifies the subject and problem space, while article type defines the editorial method and promise. Tool comparisons evaluate alternatives side by side; best-tools articles build a qualified shortlist; tool reviews assess one product; tutorials verify a workflow; guides explain a decision; customer stories examine implementation evidence; and buyer guides organize selection criteria.

Candidate research and qualification

We research candidates from product documentation, current market options, relevant operator experience, and the needs of the stated reader. Before testing or ranking, we define qualification rules and the workflow or decision the candidate must support.

A tool may be excluded when it fails a qualification rule, does not fit the defined use case, is unavailable for a meaningful evaluation, or lacks enough evidence for a responsible conclusion. We explain material exclusions in the article. Payment is never a qualification rule.

Testing and evidence labels

Tool comparisons, best-tools articles, and tool reviews require hands-on testing of the stated workflows before a ranking or definitive recommendation can publish. We record what was tested and the testing date. Not every article is hands-on tested: explainers, buyer guides, tutorials, and customer stories can use other methods appropriate to their claims.

When an article displays an evidence label, that label defines its method. “Hands-on tested” means the stated workflows were exercised directly. “First-party verified” means claims were checked against an authoritative source. “Operator evidence” means the analysis draws on documented operating experience. “Editorial analysis” means sources and decision criteria were evaluated without claiming direct product testing.

Commercial recommendation articles display their evidence method and context with a last-reviewed date near the article header. Other article formats may not display that evidence block, so its absence should not be read as a claim of hands-on testing.

Pricing and scheduled review

Time-sensitive tool content records the date pricing was checked. Prices, plans, limits, and terms can change after that date, so readers should confirm purchasing details with the vendor.

Our editorial record for every article includes a last-reviewed date, a scheduled next review date, and an accountable reviewer. We review sooner when a material product, price, source, or policy change comes to our attention. These internal fields are not all displayed on every public article format.

Human accountability and corrections

A named human author and reviewer own the evidence, conclusions, and final publication decision. AI may assist research or drafting, but it does not replace human editorial accountability.

To flag an error, stale price, broken source, or material omission, request a correction. We verify the report, correct material errors, update the review date when warranted, and preserve the article's evidence boundary.

Editorial independence

Affiliate relationships and sponsors do not determine inclusion, rankings, or conclusions. We do not sell positive coverage and allow no paid rankings. Sponsorship is labeled separately from independent editorial recommendations.

Read our Affiliate Disclosure, or browse all articles. Commercial recommendation articles expose the evidence context described above.