Nym rebuilt its agent's decision-making using Jev, a fast parallel classifier model from TypeSafe, achieving 4.1–5.7× speedup in reviewer latency while reducing costs and maintaining security controls. Jev replaced seven text-based classifiers previously running on Gemini Flash, passing all 167 evaluation tests compared to four errors in the previous implementation.