Zero-Lag Jailbreak Guard
Fast prompt-injection / jailbreak triage pattern using Noul + Choice + Score before a generative model runs.
What this use case covers
Protects production LLM pipelines by evaluating untrusted prompts with Jev AI tools primitives before heavy models see them. Because System One answers are constrained distributions rather than free text, the guard itself cannot leak a system prompt as generated prose.
Traditional pain
Using a generative LLM as a security filter adds seconds of latency and can itself be socially engineered.
Jev AI advantage
Typed Noul/Choice/Score answers support thresholding in code within TypeSafe’s published latency and $0.042/1M input pricing (official).
Try it
Experiment with Choice, Score, and Noul questions in the Jev AI playground, or read the official System One docs.
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