同一 agent 循环改用 Jev 决策后成本降低 238 倍
18 轮 agent 循环、目标分同为 0.93,Astra 花 47.3 万 token 花掉 4.73 美元,Jev 只用 43 次类型化决策花 0.0199 美元。
same 18-turn agent loop. same 0.93 goal score. Jev Engineering changed only the way decisions were made. the difference: 238× cheaper. Astra → 473,000 tokens spent deciding → $4.73 Jev → 43 typed decisions → $0.0199 the actual agent work underneath stayed identical. that’s the part of Jev Engineering i find interesting: you don’t need another paragraph every time the system reaches a fork. sometimes you just need: route A confidence .91 continue LLMs can still do the hard reasoning. Jev handles the bounded decisions around it. same work. same result. completely different decision overhead.
这条是引用着另一条写的:x.com/0xricker/status/2102396090012115030