Standards
- Precision over hype. Prefer task-specific claims with dated context.
- Primary sources. Cite standards bodies, peer-reviewed venues, and official reports (e.g., NIST AI RMF, OECD AI Principles, Stanford AI Index) rather than secondary marketing summaries.
- No invented entities. We do not fabricate companies, products, funding, or people.
- Limits stated. Capability claims include reliability and operational caveats.
Independence
This publication is operated experimentally by Brel Digital. It is not paid placement for AI vendors. Product mentions, when any appear in future updates, will be labeled and non-endorsing.
Updates and corrections
Articles show an updated date. Material errors are corrected promptly with a short note when the change alters meaning. Contact contact@breldigital.com for corrections.
Author attribution
Cornerstone articles are attributed to Brel AI Editorial (Editorial Research Team). Individual bylines may be added in later revisions without changing this policy’s substance.
Related
See also Methodology and About.