Jev case: This was a first-day model.
Built a classification loop with Jev via the OpenRouter Decisions API, keeping Astra as auditor if line-item accuracy closes the gap.
The original post
This was a first-day model. If line-item accuracy closes the remaining gap over the next few releases, Jev replaces the LLM in this classification loop and Astra stays on as the auditor. Built with @OpenRouter Decisions API using ~@typesafeai/jev-latest.
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 coding & developer tools, 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 coding & developer tools page.
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Last updated: 2026-09-22 · sources & corrections · every card links to its author's original post