AIFOLUNE
How We Review Products
Our three content types
AIFOLUNE uses three clear formats. A Hands-on Review is based on direct use of the exact product or service. An Editorial Review is based on verified documentation, primary sources, market comparison, and carefully evaluated user feedback without implying first-hand testing. A Buying Guide compares a shortlist by distinct budgets, workflows, or constraints rather than naming one universal winner.
Start with the reader’s use case
Every review begins with a practical question: who is this product for, what job should it perform, and what alternatives compete for the same budget? We define those conditions before deciding which features matter. A premium feature has little value when it does not improve the intended workflow.
Verify identity and current facts
We confirm the exact model, generation, version, release context, compatibility, core specifications, included accessories, subscription requirements, regional differences, and important limitations. Changeable claims are checked against current primary sources whenever available so details from a similar product are not applied to the item being reviewed.
Use an evidence hierarchy
We give the greatest weight to direct AIFOLUNE testing, followed by official manuals, specifications, support documentation, release notes, pricing pages, and regulatory information. Reputable independent reporting and specialist testing can add context. Repeated patterns in credible user feedback may identify concerns, but isolated comments and retailer ratings are not treated as proof.
Apply category-specific criteria
AI tools and software are assessed for output quality, reliability, workflow fit, privacy, data control, integrations, limits, export options, and subscription cost. Creator hardware is assessed for performance, setup, reliability, ergonomics, compatibility, portability, included accessories, and value. Smart technology also requires attention to interoperability, local control, connectivity, update support, and long-term usefulness.
Document hands-on testing honestly
When AIFOLUNE performs direct testing, the article identifies the meaningful setup, test period, equipment, comparison conditions, and observations. Relevant original photographs, screenshots, measurements, or notes are retained when practical. Manufacturer demonstrations, promotional access, customer reviews, and desk research are never presented as our own hands-on experience.
Build editorial reviews without invented experience
When direct testing is not available, the article is prepared as an Editorial Review. Benefits, limitations, compatibility, ownership cost, and alternatives must follow from identifiable evidence. The language must not imply that AIFOLUNE used, measured, owned, or personally experienced the product.
Select buying-guide picks by reader need
We define the target use cases before choosing products. Every pick must solve a distinct reader problem and state its main trade-off. We check current generation, availability, compatibility, recurring issues, required accessories, subscriptions, and realistic alternatives. Affiliate availability does not determine inclusion or ranking.
Keep commercial relationships visible
A free product, loan unit, event invitation, sponsorship, or other material relationship must be disclosed clearly. Brands may correct factual errors but may not approve AIFOLUNE conclusions or rankings. Affiliate disclosures appear close to recommendations in plain language so readers understand that AIFOLUNE may earn a commission at no extra cost to them.
Use AI as an assistant, never a source
AI tools may help organize research, transcribe material, compare information, draft, or edit. AI output is not treated as evidence. A human editor remains responsible for checking product identity, factual claims, links, calculations, disclosures, and the final recommendation before publication.
Update and correct meaningful changes
We revisit a page when a new generation, feature, subscription, compatibility change, discontinuation, safety concern, or credible correction could change a reader’s decision. The displayed update date changes only after a substantive editorial revision. Material factual errors are corrected promptly, and readers can report concerns through the Contact page.