Jev and Claude: Workflow Architecture PDF Overview
这是 Mr. Buzzoni 公开的项目资料。本站按原始来源展示项目信息，用中文说明适用场景和阅读边界；项目名、源帖与代码保持原样，便于逐项核对。
这条案例记录了什么
安全与权限门禁、Agent 与模型路由、Agent 评估
提供风险或支持程度的判断信号；执行权限仍归应用规则。
社区公开项目或作者演示
原始来源：X post。作者自述，本站未独立复现。
Mr. Buzzoni
记录日期：2026-09-28。日期与身份应以原始资料为准。
原始演示视频
视频来自此案例记录的原始媒体；播放内容和作者声明不等于本站复现。
怎样核对这个项目
- 先打开原始来源，确认作者、日期与 Jev 在项目中的具体用途。
- 如果提供仓库，再检查代码、运行要求和许可证；仓库存在不代表本站已经运行成功。
- 对速度、成本、准确率和规模数字，查看原文的任务、环境和计算口径。
- 高风险动作是否单独授权。
- 误判后的阻断和恢复。
- 规则是否由程序执行。
- 路由候选是否完整。
原始文字与技术细节
以下内容保留原语言，供核对事实。中文页的场景说明是阅读提示，不是逐句翻译或实测结论。
展开英文项目摘要与原帖
项目摘要
Mr. Buzzoni previews a 14-page PDF describing a proposed Jev-and-Claude workflow. Jev handles typed judgments for triage, context selection, command screening and evaluation; Claude handles work that needs generation, while code owns the branches. The original post includes a PDF flip-through video and links a related article.
来源原文
JEV + OPUS 5.5 IS INSANE FOR BUILDING A COMPANY BRAIN I pulled the whole architecture out of the TypeSafe and Anthropic docs and packed it into a 14-page PDF the 10 steps: 1. meet the pair > Opus 5.5 thinks, Jev decides, your code holds the branch 2. stop asking a text generator for a yes or no > Jev returns a typed answer with a calibrated probability in 0.44s for $0.00035 3. ask everything at once > Choice, Score and Noul run in parallel, so the fourth question costs almost nothing 4. branch on the number > 0.999 goes straight into the if statement. ~99% of turns end right here 5. stop routing blind > Opus 5.5 to Sonnet and back costs 5.84 against 3.32 for staying on 5.5 6. keep one context warm > cache reads at $0.20 per Mtok are 20x cheaper than a fresh load 7. escalate the hard part > the toughest 1% goes to Opus 5.5 with 1M context and 66.4% on Terminal-Bench 4.0 8. score every chunk on every query > keep whole, summarize or drop. the context gets rebuilt each turn 9. gate the actual command > every bash call gets classified before it runs, inside your own code 10. judge 100% of runs > $3.50 a day for 10,000 traces, and it matched the human label on all 500 decisions the result: a while loop that paid a frontier model for every tiny call turns into a brain that spends a fraction of a cent to notice and pays properly only when it has to think the person who brings this into their team walks into the budget meeting with the AI bill cut and the output up the PDF maps the company brain. the loop side of it - how Jev takes a Claude bill from $765 to $3 a month - is in the article below ↓
原记录的限制
- The full downloadable PDF was not available from the inspected source; this entry links the preview and related article.
- Cost savings, latency, model benchmarks and perfect label agreement in the original post are author claims, not independently verified results.
- The proposed command checks and model routing have not been independently run or validated by JevForAgents.