Jev 创始人发布生产级 agent harness 十步蓝图

rari @0xwhrrari原推发布于 2026.09.22

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Jev Founder, Diogo Amogo, just released 12-page PDF on building a Jev Harness for production agents This is a 10-step blueprint for making agent decisions up to 200x faster and 400x cheaper without giving a model authority over your system: step 1 → meet the decision layer: the LLM creates, Jev judges, code enforces and the harness decides what happens next step 2 → expose every hidden decision: routing, evidence checks, retries, approvals, escalation and stopping should be visible parts of the agent graph step 3 → stop dumping the entire transcript into every call: build a compact state packet with only the current goal, facts, evidence, constraints and available actions step 4 → turn prompts into contracts: declare the possible outcomes, describe what each one means, add an escape route and version the decision like code step 5 → route by confidence and consequence: automate high-confidence internal work, collect evidence in the middle and send dangerous actions to a human step 6 → ask independent questions together: choose the next worker, estimate urgency and check approval against one immutable state snapshot step 7 → build menus from live state: Jev should only see tools, workers, files and browser controls that actually exist and are allowed right now step 8 → make retrieval decision-aware: deterministic filters remove impossible candidates, Jev keeps the evidence that matters and the LLM receives the smallest useful context step 9 → create a receipt for every decision: preserve the state, contract version, full probability distribution, threshold, selected route and resulting action step 10 → deploy in shadow mode: compare Jev with the existing agent, measure calibration and automate the safest branch before expanding the boundary TypeSafe reports roughly 70–500ms for Jev-shaped decisions and pricing of $0.042 per million input tokens with no metered output-token cost The real unlock is bigger than one benchmark: Your most expensive model stops wasting time on decisions that never required another sentence Send this PDF and the article below to your Claude Code or Codex instance and start rebuilding your agent around typed judgment ↓

这条是引用着另一条写的：「Jev 把路由打分验证做成决策层」