instead of generating text, jev from @typesafeai generates
Used Jev's structured output for classification tasks like model routing, tool selection, and guardrails, noting it is faster and cheaper than LLMs.
The original post
instead of generating text, jev from @typesafeai generates structured output
this makes it great for classification tasks like model routing, tool selection/search, and guardrails of many forms!
it's also ridiculously fast and cheap compared to LLMs doing the same tasks
Engagement when collected
Numbers are a snapshot taken from X when the case was added to the library (schema v1, collected 2026-09-19); they will not match today.
Where this case fits
Filed under classification & data extraction. In the pattern Jev is built for, the model answers a bounded question per step — and ordinary code acts on the answer, because the answer is already a value rather than a paragraph. Other posts in the same family are on the classification & data extraction page.
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Last updated: 2026-09-22 · sources & corrections · every card links to its author's original post