Editorial Standards

Independence

Choosely covers AI changes for their consequence to readers, not because a vendor wants attention. We choose the question, evidence, timing and conclusion. A commercial relationship cannot buy a favorable verdict, a place in the catalog, a higher Finder position, or a change to the AI Progress Index methodology.

We aim to say what a development means for someone choosing or using AI. That includes explaining limits and tradeoffs even when the answer is less exciting than the announcement.

Sources and evidence

For material claims about pricing, plans, availability, product behavior, capabilities and policy, we prefer primary evidence: official documentation, pricing pages, release notes, changelogs, policies, benchmark records and direct product evidence where relevant. Third-party reporting can point us toward a story. It should not replace an official source where one should exist.

We check consequential claims before publishing a conclusion or changing maintained data. A vendor page can establish what a vendor says; it does not always prove that the product performs as claimed. We separate the announcement, the evidence and our interpretation.

When evidence is missing, conflicting or still developing, we say so. We may delay a conclusion, narrow a claim or identify it as an early assessment. Uncertainty should remain visible to the reader.

Evidence labels

AI Radar uses three public labels to show the basis of a piece:

• Tested by Choosely: Choosely used the product and documented what was tested. The label does not imply that every feature or use case was tested.
• Evidence-based analysis: The assessment rests on cited sources, published data and reasoning without claiming hands-on use.
• Early assessment: The evidence is preliminary or the market is still moving. Conclusions are correspondingly limited.

Labels describe the evidence behind a particular piece. They are not a score for the product being covered.

Hands-on testing

When we say we tested something, we mean we actually used it and recorded enough about the task, conditions and result to support the claim. We describe meaningful limits, including access restrictions, small samples or behavior that may vary by plan or account.

Reading a demo, release note or another review is research. It is not hands-on testing. We do not imply first-hand experience that did not occur, and an unsupported testing claim should be corrected.

How Choosely uses AI

AI is used extensively in research assistance, monitoring, data processing, drafting, production and operating workflows. It helps find leads, organize evidence and work through large amounts of information.

People decide what deserves coverage, verify material claims, make editorial judgments and approve publication. AI output is not a source on its own. Responsibility for the published result remains human.

Comparisons, recommendations and conclusions

A useful comparison states the decision it is trying to help with, the evidence available, and the tradeoffs that could change the answer. A recommendation should fit the job, not simply reward the most familiar name or the longest feature list.

Choosely's Finder may use AI to interpret a person's task, but final tool selection follows deterministic, benchmark-protected logic. Editorial conclusions are made separately from any commercial interest. When the evidence cannot support a clear winner, we should say that rather than manufacture one.

The AI Radar is where we explain consequential changes and their practical effect on these decisions.

Freshness and article lifecycle

AI changes after publication. Choosely distinguishes four AI Radar states so a dated report is not mistaken for current buying advice.

• CURRENT: coverage intended to support a present decision.
• EVERGREEN: enduring guidance that remains on the active truth surface.
• HISTORICAL: dated reporting preserved as a record of what was known or changed at the time.
• SUPERSEDED: a page retained for its historical value when newer coverage becomes the current decision surface.

CURRENT and EVERGREEN coverage is subject to ongoing freshness review. Review signals include age, source changes and other evidence. A changed source page is a reason to inspect the claim, not automatic proof that the article is wrong. Historical work is not continually rewritten to appear current, and a review interval alone does not imply a full re-audit of every claim.

Corrections and updates

We correct material factual errors and make the change visible where appropriate. When a product changes after publication, that calls for an update, newer coverage or a superseded notice rather than treating the original reporting as necessarily false.

Better evidence can change our conclusion. Citation repairs restore access to supporting evidence without silently changing the substance of a claim. Our Corrections page explains the distinctions and how to report an issue.

Commercial and editorial separation

Advertising, sponsorship, affiliate relationships and paid formats must be identified where readers encounter them. Sponsored content must not masquerade as ordinary AI Radar. Payment cannot control coverage timing, catalog inclusion, Finder ranking, a comparison verdict, criticism or Index methodology.

See Commercial Disclosures for our current relationship status and how commercial relationships are disclosed.

Contact and source corrections

Readers, researchers and companies can send factual corrections and relevant primary-source updates to info@choosely.ai. Include the page URL, the specific claim, and a source that helps establish the correction. We review the evidence and decide the appropriate correction or update.