I pointed Jev at a simulated 10K-robot warehouse fleet and
Ran Jev against 300 simulated warehouse incidents across a 10K-robot fleet, measuring 0.53s p50 latency and $0.0000246 per decision.
The original post
I pointed Jev at a simulated 10K-robot warehouse fleet and made it triage 300 incidents — watch the cost ticker. p50 0.53s, $0.0000246/decision. At fleet scale: $354/mo vs $1,814 for GPT-4o-mini. 5.1x. #EdgeAI #Robotics #jev #typesafe
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 support & operations. 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 support & operations page.
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Last updated: 2026-09-22 · sources & corrections · every card links to its author's original post