Editorial Policy

Our editorial purpose

Eyestech publishes independent reporting, explainers and analysis about AI models, AI hardware and chips, computing, smartphones and mobile software, gaming hardware, defence technology, AI in defence, and AI jobs.

We write for readers in India, the United States, Europe and the wider technology community. Articles should help readers understand what happened, how reliable the evidence is, and why the development matters.

Research and sourcing

We prioritize primary material such as official announcements, technical documentation, research papers, public filings, product documentation and government sources. We use credible secondary reporting for context and identify the source whenever a claim depends on it.

Facts, analysis and uncertainty

We distinguish reported facts from our interpretation. Predictions, leaks, rumours, vendor benchmarks and preliminary research are labelled clearly. We do not present a company claim as an independently verified result, and we avoid inventing specifications, test results or quotations.

Updates and corrections

Technology changes quickly. When an article needs a meaningful factual update, we revise the article and explain the change where appropriate. If you spot an error, please use our Contact page with the article URL and the specific claim so it can be reviewed.

Images and links

We aim to use images that we created, licensed or are otherwise permitted to use, and we provide attribution when required. External links are provided for source material or useful context; linking to a site does not mean Eyestech endorses every claim or service on it.

AI assistance and evidence — updated October 3, 2026

EyesTech uses AI assistance in research organisation, drafting, editing and illustrations. AI output is not a source. Factual claims need inspectable evidence, and any uncertainty must remain visible. A generated image must not be presented as a documentary photograph, product screenshot or measured chart.

A byline identifies an editorial account and coverage profile. It does not establish a professional degree, former employer or laboratory experience. We publish qualifications only when they can be substantiated.

Independent benchmark and hands-on claims require the version, inputs, settings, hardware where relevant, acceptance method and supporting logs or artifacts. Otherwise results are attributed to their actual source or clearly described as an illustration, calculation or proposed test.

Substantive corrections state the error and the replacement evidence. Original publication dates remain intact; modification dates reflect the change. Article dates and structured data are maintained by the CMS rather than separately invented in post content.

Send correction requests through the contact page with the article URL, disputed passage and supporting source.