About
AI reporting for people who build
AI Mastery turns fast-moving model releases, research, and infrastructure changes into technical reporting, practical comparisons, and tools engineers can use.
What we publish
Our news desk covers consequential changes in models, developer platforms, open-source software, AI safety, and compute. Articles add implementation context and analysis; guides provide reproducible steps; interactive tools help readers make concrete choices about cost, hardware, retrieval, prompting, and model selection.
How our work is different
We start from an identifiable primary source, then add our own technical interpretation: what changed, how the system works, where claims are limited, and what the change means for a working engineer. We do not treat a rewritten announcement as original reporting.
Data tools disclose when figures were last checked and point readers toward the underlying benchmark or vendor pricing methodology. Comparison pages are intentionally limited to pairings that help answer a plausible model-selection question.
People and accountability
Every long-form piece identifies its editor or technical author. Meet Shan and the AI Mastery Architect, or read the full editorial and corrections policy.