This policy sets the standards for SekaiTech’s coverage of AI, PC hardware, and Web3. The aim is to help readers understand a development, assess the available evidence, and recognize what remains uncertain.
Story selection
We prioritize developments with a clear consequence for readers: a change in how a tool works, a hardware release with meaningful specifications, a security issue, or a development that helps explain a wider technical trend. Popularity alone is not a reason to publish a story.
We look at the date of the event as well as the date an article was published or updated. An older announcement should not be presented as new because it has started circulating again.
Sources and attribution
We prioritize original material such as technical documentation, research papers, release notes, regulatory notices, and company announcements. A primary source can establish what an organization announced, but it does not independently prove every claim in that announcement.
We link to material that supports the important facts in a story. Where reporting relies on another publication’s work, that work should receive attribution. Rewording someone else’s article sentence by sentence is not our editorial approach.
Reporting, analysis, rumors, and opinion should be distinguishable. A rumor must not be written as an established fact, and a prediction must not be presented as an outcome that has already occurred.
Hardware and product claims
Specifications, manufacturer claims, third-party benchmarks, and hands-on testing are different kinds of evidence. Our articles should identify which they use.
We do not invent test results, review samples, laboratory procedures, or personal experience. Published performance figures need context, including the source and relevant test conditions when those details are available. Prices and availability should be dated and tied to a market where possible.
AI-assisted work
SekaiTech uses AI-assisted tools for research support, drafting, and editing. These tools can produce mistakes or unsupported details. Their output is not evidence and must not be treated as a substitute for checking the underlying sources.
The same sourcing and correction standards apply to AI-assisted material. Articles must not invent quotations, author credentials, interviews, or hands-on experience. Any illustrative AI-generated image should be identified as such rather than presented as a documentary photograph.
Commercial relationships
Paid placement, sponsorship, affiliate links, or a supplied review product must be disclosed where they affect an article. Commercial interest is not evidence that a product works as claimed. A business inquiry must not buy an undisclosed favorable conclusion.
Web3 coverage
Coverage of a token, protocol, or decentralized application is not an instruction to invest. Articles should distinguish technical functionality from promotional claims and discuss material risks where relevant. We do not promise returns or present price speculation as certainty.
Corrections and updates
Report a potential error to contact@sekaitech.web.id with the article URL and supporting evidence. We assess the claim against the available sources.
When a substantive factual correction changes the meaning of an article, our policy is to add a note explaining the change. Minor spelling or formatting fixes do not need a separate correction note. Updates should explain what changed rather than make an old story appear newly reported.