AI Guides & Resources
In-depth guides to help you understand the key concepts, trends, and methodology behind our AI news intelligence.
How We Curate AI News
Our editorial methodology, AI pipeline, and quality standards for AI intelligence.
Key AI Terms Explained
Essential terminology and concepts you need to understand AI news.
Understanding AI Trends
Key trends, market forces, and developments shaping the AI landscape.
Methodology
Every story published on this network goes through a four-stage editorial pipeline: automated multi-source aggregation, machine-learning relevance scoring, contextual enrichment via entity graph and historical cross-reference, and a final factual grounding check. We disclose AI assistance, link every source, and transform, rather than republish, primary content. The full editorial standard is documented in our Methodology guide.
Entities are only linked to a story once the classifier scores them at a minimum 35 percent relevance, filtering out passing mentions from genuine subjects. According to that methodology, reviewed July 2026, this mirrors multi-source corroboration standards recommended by journalism research bodies such as the Reuters Institute for the Study of Journalism.