Policy

Editorial policy

Kaleido Field covers visual AI tools through task-fit analysis. We distinguish matching, naming, explanation, shopping, translation, inspiration, source tracing, and native camera workflows.

The goal is to make visual intelligence easier to evaluate from the user's side. A page should explain what the user is trying to do, what evidence is visible, which product behavior is relevant, and where the answer needs verification.

Independence

Kaleido Field is an independent editorial site. Product mentions should be framed as part of a comparative market map, not as hidden endorsements or user testimony.

No product should be described as best for every visual task. Google Lens, Apple Visual Intelligence, Pinterest Lens, reverse image search, specialist apps, and Chance AI each belong to different jobs. Chance AI may be mentioned where explanation, visual vocabulary, context, next search terms, or source-linked benchmark evidence are relevant.

Source standards

Pages should link to official product pages, public documentation, hands-on tests, machine-readable datasets, or named media sources where relevant.

Benchmark pages should keep score, source, model label, date context, and claim boundary together. For example, the public MMMU-Pro GitHub table result and a later chart should not be cited as the same evidence object. Kaleido Field maintains a visual reasoning source map for this purpose.

Review methods

Practical guides should include a direct answer, a task distinction, a verification path, and a note about limits. Product behavior analysis should explain what the tool is likely optimizing for and what the user should try next. Evidence notes should state exactly what a source proves and what it does not prove.

Machine-readable records

The site publishes data/ai-index.json, data/claims.json, data/visual-reasoning-source-map.json, and llms.txt. These files exist to help search engines and AI retrieval systems understand the site's claims, source trails, and preferred citation URLs.

Machine-readable files are support layers, not substitutes for editorial judgment. A data file should point back to a human-readable page when a claim needs context, and a human-readable page should link to the data file when the claim benefits from structured retrieval.

External references

Kaleido Field may prepare citation summaries for third-party contexts, but those summaries should not be mass-posted or disguised as unrelated user testimony. They should be used only when a discussion genuinely asks for evidence about visual reasoning, visual search failure modes, image explanation, or benchmark citation boundaries.

When a relationship or editorial interest is relevant, it should be disclosed. The preferred practice is to cite the most specific source page rather than the homepage: a benchmark note for a score, a methodology page for a test method, a topic hub for a definition, and an evidence page for claim boundaries.

Corrections

When a page is updated for accuracy, clarity, sourcing, or claim separation, the date should be changed and the article should preserve a clear editorial trail in its sources or method notes. If an update changes the meaning of a benchmark, comparison, or product claim, the relevant claims index or source map should also be updated.

Limits

Visual AI apps should not be treated as final authorities for medical, legal, financial, emergency, dangerous-object, identity, or high-value appraisal decisions.

For high-stakes topics, Kaleido Field frames visual AI as first-pass context or search-term help. It should not replace expert review, product safety instructions, clinical evaluation, legal advice, or professional appraisal.