The AI Writing and Research Stack
The division of labour among AI tools that professional content teams actually use, matched to what each is good at.
Analogy Mental model
A carpenter's box. You do not saw with a hammer; the tape measures, the saw cuts, the plane flattens, the paper smooths.
In practice What you actually do
A workable division: research and source gathering with a retrieval-first assistant, semantic coverage scoring with a content optimisation tool, long-form drafting with the model that writes most naturally in English, and data work, scripts, and small interactive tools with a coding-oriented environment.
Where people get burned Pitfalls
Avoid the packaged services promising a hundred articles at once, which are a thin wrapper over an older model. Using the strongest available models with your own procedure costs less and produces something worth publishing.
This entry was written in English from the Chinese original, not machine-translated. Read the Chinese version →