Jev AI use cases
What do you need to decide?
Explore Jev AI by task: evaluation, routing, RAG and web context, entity matching, prompt-injection safety, lead and call scoring, all 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
Claude Code Rules Checker
Check a code diff against each project rule and get complies, violates or insufficient evidence per rule.
- CLAUDE.md
- Code review
- 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.
LLM Router
Choose a model tier, handler or tool for each request, with confidence to fall back safely.
- Model routing
- Semantic routing
- Tool selection
MCP Tool Router
Pick the next MCP tool for an agent task, including no tool at all and actions that need human confirmation.
- MCP
- Tool selection
- Human approval
Support Ticket Triage
Classify a support ticket, assign a team and set its priority with your own labels.
- Ticket routing
- Priority
- Custom labels
Safety & security
Screen untrusted text for injected instructions and data-exfiltration attempts before it reaches a model or tool.
Classification & scoring
Sort and score business text, such as sales leads and call transcripts, against criteria you define.
Lead Qualification
Compare a sales lead with your ideal customer profile to judge fit, buying intent and the next follow-up.
- Lead scoring
- ICP fit
- Buying intent
Sales Call Scoring
Score a call transcript against your own scorecard, item by item, and see which topics were never covered.
- Call scoring
- Scorecards
- Sales coaching
Jev Jobs
Jev job search: import a resume, find jobs posted in the last 30 days and score each one on your weighted criteria.
- Jev job search
- Resume matching
- Weighted scoring
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.