Jev launches: a System One model for decisions
TypeSafe founder Diogo Almeida introduces Jev, its RLCD training method, and its focus on software decisions. The post includes a 2:56 launch video.

Jev Engineers released Jev with a simple architecture: state goes in, auditable decisions come out. The post maps the decision layer into a field blueprint, showing what Jev reads, what it returns, and how an agent uses these answers in a real loop.
Jev Engineers just released Jev, and the architecture is simple: state goes in, auditable decisions come out I mapped the decision layer into a field blueprint: what Jev reads, what it returns, and how an agent uses those answers in a real loop: step 1 → give each layer a job.