Jev AI: Agent Decision Layer
Shinka - AI@ShinkaIoT
Jev AI provides a cost-effective mechanism for agents to determine when not to act, returning structured decisions and confidence levels for routing, risk scoring, approval, or human escalation.
SignalJev returns a structured decision your software can use: route it, score the risk, approve it, or send it to a human.
Pattern↑ Jev AI decision models
🤖 Jev AI gives agents a cheap way to decide when NOT to act.
Jev is a new model from @typesafeai, founded by former OpenAI researcher Diogo Almeida @CompleteSkeptic, a co-author of the InstructGPT paper.
Give it a support ticket, an invoice, an agent trace, or a security alert.
Jev returns a structured decision your software can use: route it, score the risk, approve it, or send it to a human.
It also tells you how confident it is.
That matters because most agent workflows do not need another long answer. They need a fast checkpoint before the agent sends an email, touches a payment, or changes a production system.
High confidence: proceed.
Low confidence: escalate.
Vercel lists Jev at $0.04 per million input tokens.
That is cheap enough to put a decision layer in front of almost every action an agent takes.