Jev has been exploding in popularity recently. If you already have access to the Jev API but aren't sure how to start experimenting with it, just copy this checklist: 1. jev-browser Drives a real browser through MCP, CLI or a library. One decision per step: which element to act on, and whether the goal is met or the run is stuck. 2. jev-browser-agent Per-step browser decisions in about a second. One request asks which operation and which target together; anything under 0.6 confidence escalates to a bigger model or to you. 3. typesafe-jev-bridge Zero-dependency OpenAI-compatible bridge. Typed yes/no, choice and score judgments from Claude Code, Cursor, Cline or any OpenAI SDK, over CLI or HTTP. 4. pilot-typesafeai-jev Jev inside LangGraph and Deep Agents. One request asks three questions, plain code picks the route, and only the winning route spends chat model tokens. 5. building-with-jev-skill An agent skill for writing programs that call Jev: question design, state structure, thresholds, and how to diagnose a question that keeps answering wrong. 6. jev-skill Guided setup plus evaluation workflows. Read-only presence check, no silent provider switches, no fabricated probabilities. 7. awesome-jev Source-backed catalogue of what people actually shipped, sorted by category, with the limitations noted per entry. 8. awesome-typesafe-jev Field guide with SDKs, live demos, agent tools and independent evaluations, including where each vendor number came from. 9. awesome-jev-by-typesafe Evidence-backed use cases, patterns and starter code, with the 70 to 500 ms latency claim marked as vendor-reported. 10. awesome-jev The widest catalogue right now: SDKs in Go, Java and JS, MCP connectors, guardrail experiments and studies. Copy these complete Jev blueprints - then read full Jev setup below ↓ ↓