Jev + Opus 5.5 做公司决策大脑的 10 步架构
用 Jev 返回带概率的类型化答案（0.44 秒、$0.00035），按数值分支，只把难判断的 1% 升级给 Opus 5.5。
Jev + Claude Opus 5.5 is scary good at running a company brain the full architecture from the TypeSafe and Anthropic docs, packed into a 14-page PDF the 10 moves: 1. split the roles > Opus 5.5 thinks, Jev decides, your code owns the branch 2. stop asking a text writer for a yes or no > Jev returns a typed answer with a calibrated probability in 0.44s for $0.00035 3. ask in parallel > Choice, Score and Noul run side by side, so a fourth question costs almost nothing 4. branch on the number > 0.999 drops straight into the if statement, and ~99% of turns end there 5. route on purpose > bouncing Opus 5.5 to Sonnet and back costs 5.84 against 3.32 for staying put 6. keep one context warm > cache reads at $0.20 per Mtok run 20x cheaper than a fresh load 7. escalate the hard 1% > it goes to Opus 5.5 with 1M context and 66.4% on Terminal-Bench 4.0 8. score every chunk on every query > keep it, summarize it or drop it, and rebuild the context each turn 9. gate every command > each bash call gets classified before it runs, inside your own code 10. judge every run > $3.50 a day for 10,000 traces, matching the human label on all 500 test decisions a loop that paid frontier prices for every tiny call becomes a brain that spends a fraction of a cent to notice and pays properly only to think whoever brings this to the budget meeting walks in with the AI bill down and the output up the step-by-step Jev roadmap to set it up from scratch is below 👇
这条是引用着另一条写的：「长文：如何搭好 Jev 驱动的 agent 技术栈」