at @MetaviewAI, over the weekend we shipped @typesafeai's jev into every agent on metaview.
candidate searches in our sourcing product that took minutes now take seconds. same accuracy, ~10x faster, meaningfully cheaper per search.
but the speedup isn't the interesting part. jev let us treat intelligence like software: break each agent into its smallest semantic units, query each one, set our own thresholds, and fix bugs by adding a question — not by begging in a system prompt.
that's a different way to build, and it's now our baseline. credit to the typesafe team.
optimizing for intelligence per dollar has unintuitive consequences. intuitive to @CompleteSkeptic, of course.
Metaview just dropped the cleanest breakdown on self-improving prompts - and it's the missing layer behind every AI hiring stack
Everyone obsesses over the model. The real bottleneck is the prompt that evaluates thousands of applications - and gets better every run
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