Top 10 Jev use cases in agentic apps, ranked
The list ranks agent decisions that should go to Jev rather than an LLM, from model routing and tool-call risk gates to loop stop decisions, RAG reranking and escalation to humans.
Top 10 Jev use cases in agentic apps, ranked by theoretical gain (speed / cost / reliability) over LLMs: 1.) Model routing Simple → cheap model. Hard → frontier. Stop burning Opus on “reset password.” 2.) Tool-call risk gates Approve / block / escalate before the agent touches shell, spend, or delete. 3.) Intent + domain triage Classify the request once, then load the right prompt/tools not a 2K-token debate. 4.) Loop stop / continue decisions Kill infinite agent loops early. Biggest reliability unlock most teams ignore. 5.) RAG reranking Score query↔chunk pairs fast. Keep the LLM for synthesis, not shopping for passages. 6.) Guardrails & policy checks PII, jailbreak, unsafe intent typed yes/no with confidence not essay refusals. 7.) Trace / step verification Did the last tool call actually help? Pass/fail the trajectory without another full LLM turn. 8.) Support & ticket routing Queue, priority, owner high volume, low creativity. Perfect System One work. 9.) UI / browser / mobile action choice From a screen snapshot: tap X, type Y or stop. Agents that move at UI speed. 10.) Escalation to human Confidence-gated HITL. Ambiguous or high-stakes → person. Else → auto. Rule: LLMs think and write. Jev decides. Code enforces. That’s the harness stack.