Jev AI use cases
What do you need to decide?
Explore Jev AI by use case: LLM-as-a-judge, agent evaluation, LLM routing, RAG evaluation, live web context and entity matching, each with runnable examples.
Start with a working example. Adapt the questions, inspect the typed answers, then use the same rules in your application.
Evaluation & quality
Check generated answers and agent outcomes against the evidence and rules you supply.
LLM as a Judge
Evaluate an answer for source support, relevance and quality using your own rubric.
- Answer quality
- Groundedness
- Rubrics
AI Agent Evaluation
Check completion claims against tool results, task requirements and allowed actions.
- Task completion
- Tool evidence
- Rule compliance
Data matching
Compare records across sources and separate likely matches from cases that need review.
Retrieval & knowledge
Bring outside knowledge into a decision: search for evidence, then let Jev weigh it.
RAG Evaluation
Check each retrieved passage for relevance, answer coverage and injected instructions before generation.
- Context relevance
- Reranking
- Prompt injection
Live Web Context
Search the web for a yes/no question and see how live evidence changes the answer.
- Web search
- Fact checking
- Grounding
Routing & decisions
Send each request to the right model, handler or tool, and know when to hand it to a person.
One decision model. Your own rules.
Use a Noul for a yes/no probability, a Choice for a fixed set of outcomes, or a Score for an ordered rubric. Ask focused questions about the same input and combine the results in code.