The need for judgement and evaluation points to a future where AI makes millions of decisions inside software.
Cost and speed matter enormously there but so does who gets to decide what counts as a good outcome.
If one provider controls the evaluation, its blind spots and
Moody’s for AI inference.
@reppo now lets developers submit an agent’s work to independent judges and get back scores and critiques, helping applications decide what to accept, reject or retry. It is built so model-based judges like Jev can plug in.
Live on Virtuals Protocol.
JEV is all over the timeline today after their $800M fundraise.
As AI moves to deployment, SaaS, agents, and robots need probabilistic decision making support instead of just a chat response they can rely on.
@reppo’s eval API, powered by Orquestra nodes, provides on demand
Been benchmarking the Eval API against JEV this weekend.
One way to think about the Eval API is decentralized JEV and @reppo network as the decentralized “lab” powering it.
For those of you who haven’t tried it yet, instead of outputting chat or natural language, JEV analyzes
