Editorial standards
Editorial, sourcing and corrections policy.
The rules behind Quellix Labs research, AI-assisted drafting, factual support, author accountability, and corrections.
Who writes and reviews our work
Quellix Insights articles have a named author. AI may assist with research organization, drafting, editing, or imagery, but it is not presented as a human author. Articles must pass source, link, metadata, and image checks before publication.
Sources and factual claims
External factual and numerical claims must link to a specific, reachable source. We prefer primary research, government publications, standards bodies, official documentation, and directly attributable engineering material. A source must support the claim it accompanies; a working URL alone is not enough.
Experience and examples
Hypothetical workflows and thresholds are labelled as examples. Client outcomes, benchmarks, and project measurements are published only when they are documented and approved for disclosure. We do not invent customer results or imply that illustrative numbers are measured outcomes.
AI-assisted content
AI-assisted drafts remain review material until their sources, claims, links, limitations, service context, and visual assets pass the editorial gate. Generated images are reviewed for relevance, readable text, brand fit, and accurate alt text.
Corrections and updates
Substantive changes update the visible modified date. Broken links, unsupported claims, factual errors, or misleading wording are corrected or removed. Material corrections should be described in the article when the previous wording could have changed a reader’s decision.
Commercial independence
Quellix Labs writes about systems it builds and services it provides. We do not accept undisclosed paid placement or affiliate compensation in Insights content. Commercial calls to action are kept separate from source evidence.
To report a correction, use the contact page and include the article URL, disputed passage, and supporting evidence.