Jev’s numeric answers make evaluation more important

Simon Willison’s Jev experiments explore using decision scores to rerank search results after an inexpensive first retrieval step. He also highlights an observability problem: a numeric answer gives little explanation of which input features drove the decision. His takeaway is to invest in structured evaluations and bias checks rather than treating model confidence as proof.

Simon Willison · Sep 21, 2026

Why it matters

A practical follow-up to the launch and Gateway integration already covered by 1min.

More context

Try a labeled, low-stakes ranking task through your existing Jev access and compare against a simple baseline. This card covers the author’s own experiments and evaluation concerns, not the third-party projects listed later in the article.

Keep in mind

Exploratory experience, not a comprehensive benchmark. The article does not establish that Jev improves search quality generally; 1min has not run these experiments.

Original read