Jev guides and FAQs
Understand the decision model, choose an integration, and evaluate it on the work your software needs to do.
Learn
What is Jev? A decision model for software
Understand Jev's state, Choice, Score and Noul outputs, how they differ from chat, and which decisions belong in ordinary code.
What is a decision engine? Typed decisions beyond chat
Understand what a decision engine does, how Jev's Choice, Score and Noul outputs differ from rules and chat models, and how to evaluate one.
Jev cookbooks, use cases and playgrounds
Find official recipes and community demos, then choose a Jev example that matches the decision you need to build and evaluate.
Jev demo and showcase guide: playgrounds and examples
Compare the official Jev playground with community demos and runnable samples by task, evidence, provider and the next step to test.
Build
Jev in Snowflake, DuckDB and Neo4j
Use typed decisions for semantic SQL and graph navigation. Plan permissions, caching, evidence and review before adding model calls to data pipelines.
Jev search: semantic search, code search and RAG
Build a Jev search workflow: retrieve candidates, check relevance and answerability, preserve provenance, and keep unsupported RAG answers out.
Document classification with Jev: labels and review
Design exclusive categories, independent tags and a review queue. Start with a typed Python example and test unreadable, ambiguous and hostile documents.
Jev guardrails, PII checks and agent permissions
Design model-assisted risk checks with deterministic permission boundaries, review paths and failure handling. Compare the different Jev Guard projects.
Jev API and SDK guide: TypeSafe and OpenRouter
Find the official SDKs and request shape, distinguish OpenRouter Decisions from chat routing, and check community Java, Rust and adapter compatibility.
Jev paper tools: radar, judge and screening workflows
Choose Jev paper tools for discovery, PDF feedback, claim marking or systematic screening, with clear boundaries for retrieval and review.
Integrate
Jev with Codex, OpenCode, Hermes and Pi
Choose between an agent skill, model router, permission hook and context tool. See what Jev does inside a coding agent and what the LLM still does.
Jev for Hermes: skills, routing and approvals
Use Jev inside Hermes Agent for skill selection, model routing and command approvals. See the documented projects, setup steps and failure modes.
Pi and Jev: tool gates, auto mode and routers
Wire Jev into the Pi coding agent: tool-call gates, auto mode, model routers and context selection, with the projects that document each job.
Jev context compaction: pruning and evidence retention
Compare context pruning projects, decide what must survive compaction, and evaluate token savings against the agent's ability to finish its task.
Jev computer use, visual experiments and game agents
See how text-only Jev fits browser, voice, game and robot loops, and why community visual models need separate evidence and hardware checks.
Jev desktop apps, mobile assistants and UI tools
Find Jarvis, office assistants, Mac bridges, call visualizers and browser extensions. Compare client permissions and which model actually writes replies.
Jev on OpenRouter: Decisions API and model routing
Call Jev's typed Decisions API through OpenRouter, separate it from jev-router chat routing, and handle authentication, versions and errors.
Paperclip Jev plugin: issue triage and browser decisions
See how the community Paperclip Jev plugin routes issues and proposes browser actions, how to install it, and where human approval stays.
Evaluate
Local Jev alternatives: models, adapters and hardware
Compare Laya, LEV, Kev and other independent decision tools by weights, protocol, hardware and evaluation, without confusing them with Jev.
JevBench, JevArena and decision-model evaluation
Read benchmarks without mixing datasets or model versions. Measure accuracy, calibration, review coverage, latency and cost on your own workload.
Jev trading projects: architecture and research limits
Understand Jev Trader's decision loop and how to evaluate trading experiments with independent risk limits, execution records and realistic test conditions.
Jev MLX and local visual models on Apple Silicon
Compare JEV-MLX, Jev Visual and OneJev by hardware, modality, protocol and evaluation limits before choosing local Jev-like inference.
FAQs in other languages
About these guides
These guides synthesize the linked documentation and repository sources. Community features are documented capabilities; this is not a runtime certification. Evidence policy.