Interesting disruptive use cases of Jev for me. Add yours.

Evals Instead of paying an LLM judge to grade every agent trace, use Jev to score each answer against the rubric ("Is it grounded? Does it cite a source?") in milliseconds. Voice AI Existing robotic workflows limited to the STT -> Detect turn -> LLM -> TTS flow will be enhanced with a Jev reflex layer that will use rolling transcripts to make the interaction more human-like. AI Workflows Everybody seems to have Intent Classification as their first node in an AI workflow. Jev will take over these type of classification tasks - the most natural use case. Synthetic Personas Doing A/B testing or Concept testing at scale rapidly is now feasible with Jev. Due to its ability to quantify, Jev will also excel where pure LLM personas failed in survey-like tasks. NPC Simulations Jev will take over the actions. LLMs will only handle the dialogue. Classical ML Turn free-form text like "gift for mom, urgent" into numbers such as gift probability 0.9 and urgency 8/10. At scale. Those numbers become new columns that a fraud or churn model can use. AI Guardrails After every step, Jev asks, "Is the agent looping? Is it about to do something risky? Is there an indirect prompt injection?" It triggers action before real damage is done. Context Management Agentic search gets an upgrade. Why allow a slow expensive LLM to explore everything when the search space can be intelligently narrowed using Jev.