A ten-step Jev blueprint with benchmark numbers
A ten-step guide on turning agent branches into decision points with the Choice, Score and Noul primitives, with speed and cost figures for batch decisions, Browser Use and Mobile Jev.

Jev is "Internet" moment for AI: up to 193x faster and 444x cheaper in tests with Claude Fable 5.1 and GPT-6 Astra Whar is Jev, how to use and unlock its real 100х advantage in my 10-page research: step 1 → meet Jev: LLM writes, agents act, Jev chooses the next move - split intelligence from execution step 2 → turn every agent fork into three primitives: Choice selects one route, Score measures a defined scale, Noul returns the probability of yes step 3 → build before getting access: use TypeSafe’s official adapter with OpenAI, Anthropic or xAI, then swap in Jev without rebuilding the graph step 4 → setup first Jev: one state, three parallel decisions, risk-based thresholds and a real queue your agents can execute step 5 → batch decisions instead of serializing them: 13 questions in one call ran 10x faster and 12.2x cheaper than 13 sequential calls step 6 → place Jev at every bounded fork: choose the agent, model, tool, browser action or human escalation, then read fresh state step 7 → benchmark the entire loop: Browser Use hit Google Flights in 7.1s, Every ran 777 checks in under 0.7s, Mobile Jev completed 9 actions in 21s step 8 → rank wide, read narrow: Jev cut wrong Hermes skill loads from 16.8% to 7.3% and pushed legal Top-10 retrieval from 38% to 62% step 9 → steal a system, not a prompt: Chief of Staff, model router, inbox firewall, research feed, browser controller and safety gate all use State → Questions → Action → Verify step 10 → keep Jev out of math, writing and irreversible execution: code computes, LLMs create, Jev decides, fresh state proves the result the result: one slow, expensive agent becomes an always-on decision machine that routes, scores and escalates in milliseconds Copy the complete 10-page Jev blueprint - then read full 10-step roadmap below ↓
This post quotes another post: “Long read: how to build a Jev-powered agent stack”