Source discipline
Primary sources are identified. Company claims, third-party reporting, external analysis, and editorial inference are not presented as the same evidence class.
The China AI information market is already validated by strong translation, analysis, weekly curation, technical research, and tracking products. This publication combines those proven jobs in one consistent reading workflow.
Each weekly issue selects a small number of material developments, starts from Chinese or official primary sources, explains the relevant technical, commercial, and policy history, compares inside-China and outside-China framing, and ends with the consequence for a working professional.
It does not claim comprehensive real-time coverage, original model benchmarking, exclusive access to every story, or the ability to replace specialist publications. It links readers to the strongest work elsewhere and aims to make the entire information ecosystem easier to use.
Market scope can be broad while weekly output remains narrow: five major signals, one primary-source feature, one split-screen analysis, one living-index update, and a short list of external reading. That cap is what makes an integrated product sustainable for a solo operator.
Primary sources are identified. Company claims, third-party reporting, external analysis, and editorial inference are not presented as the same evidence class.
Material corrections should record what changed and when. Historical states are not silently rewritten when a date, artifact, license, or interpretation changes.
Sponsors cannot buy inclusion, recommendation, deletion, or a favorable conclusion. Commercial relationships must be visibly disclosed.
Good competitors and specialists are part of the product. The publication should send readers to the strongest complementary work rather than imitate it.
One concise English briefing for professionals who need to understand China AI without monitoring Chinese sources full time.