Your Cursor agent workflow journal 871

Facts become slippery the moment a system tries to read too much at once. That is the practical problem behind a lot of knowledge tooling. A language model, a search layer, or an enrichment workflow can all retrieve information, but retrieval alone does not make the result trustworthy, inspectable, or easy to use. Anyone who has spent time cleaning entity data knows the pain points: names collide, famous and obscure subjects share labels, references vary in quality, and

Anyone who has tried to connect language models to public knowledge sources learns the same lesson quickly: more data is not automatically more useful. In practice, dumping a large pile of raw statements into an agent workflow often creates confusion faster than it creates insight. That is one reason the recent wave of tooling around Wikidata has moved toward narrower, inspectable interactions rather than broad extraction. That design choice sits at the heart of MCP fo