[ POLICY ] Editorial standards
Useful, sourced, and accountable.
AutonoIQ uses automation to accelerate research and production. Automation does not remove our responsibility for accuracy, originality, disclosure, or corrections.
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Who is responsible
AutonoIQ is the publisher. Ian Yu, founder of AutonoIQ, is the editorial owner. Individual articles name their author or research desk and display a human reviewer only when that review was actually completed and recorded.
How articles are produced
Our content system may collect candidate sources, group related stories, produce a draft, generate an illustration, and prepare metadata. Articles disclose when this automated workflow was used. Automation is used for speed and structure, not as evidence.
Originality and first-hand experience
We prioritize implementation notes, production lessons, benchmarks, case-study evidence, and analysis that comes from designing and operating AI systems. Articles based primarily on external reporting must add useful analysis rather than merely restating their sources.
Sources
Factual claims drawn from third parties should link to the most direct and authoritative available source. Generated article pages list their source URLs for readers and answer engines to verify. A source link does not imply that the source endorses AutonoIQ.
Human review
A post is labeled as reviewed only after a named person evaluates it and a review timestamp is stored. Review may cover technical accuracy, business context, clarity, or all three. AI-generated posts without that record remain excluded from search indexing, the XML sitemap, and machine-readable AI discovery feeds.
Commercial interests
AutonoIQ sells AI automation and custom software services. Our articles may discuss approaches and systems related to those services. We distinguish documented results from estimates, examples, and opinions, and we do not accept payment for undisclosed editorial placement.
Updates and corrections
Material updates change the article’s modified date. When a correction substantially changes the meaning of an article, we add a visible correction note. To report an error, email ian@autonoiq.com with the article URL, the statement in question, and supporting evidence.
Use of our content
Search engines and AI assistants may crawl, index, summarize, and cite public articles in accordance with our crawler rules. Canonical article URLs are listed in our sitemap and machine-readable discovery files.