Blog

What the guides are for

dothinker AI nav articles turn fast-moving AI tool news into slower, reviewable guidance. The editorial focus is practical: how a workflow changes, what source material a reader should bring, where AI output needs human review, and which claims should be checked before publishing or buying.

We prefer durable topics over generic launch summaries. A useful guide should help a reader make a decision about code assistants, app-store metadata, Chinese model routing, visual production, workflow agents, or content review even after a vendor updates its interface.

Short notes and early drafts are kept out of the sitemap until they have enough context. Published articles should include clear scope, conservative claims, and a path back to primary sources when pricing, platform policy, API compatibility, or commercial rights are involved.

This blog index is intentionally small. It should point to reviewed essays and guides rather than every draft in the repository. When a topic is too short, too vendor-driven, or too dependent on unverified facts, it can remain unpublished or noindexed until it includes enough analysis, examples, and review notes to help readers make a better tool decision.

Before a new article is promoted here, it should answer a concrete reader question: what changed, what should be tried, what should be avoided, and which facts require a fresh source check. That keeps the index useful for repeat readers instead of turning it into a chronological list of thin posts. Older articles can stay useful when their scope, assumptions, review dates, correction paths, and source expectations remain visible for future readers too.