Three directions for Jev in long-horizon agents and continuous evals
A discussion of three practical directions for the System One decision model Jev: continuous evals and monitoring, custom verifiers for long-horizon agents, and a recursively self-improving agent harness.
As the discussion here continues, there are three areas where System One models like Jev are particularly interesting: - Continuous evals and monitoring - How it supports long-horizon agents through custom verifiers - Recursive self-improving agent harness It's not just about affordability. Models that specialize in decision-making, like Jev, are ideal primitives for enabling more effective use of frontier agents. The same philosophy goes here: not everything requires a frontier model.