Jev 分流 + Grok bot 写作的事件处理流水线
作者用 Jev 在 100ms 内并行判定通道、紧急度和证据，只有 draft 通道才交给 Grok bot 写作；20 万事件下 Jev 花费 11.76 美元而写作达 240 美元。
jev + grok bot is one of those setups that makes agent economics look obvious in hindsight. useful split isn’t “cheap model vs expensive model.” it’s deciding whether an event deserves generation at all. → jev answers lane, urgency and evidence in parallel in 100ms → code guards push low-confidence or missing-evidence cases to human review → ignore gets a 1% audit, log stays ledger-only, draft is the only lane that reaches grok bot → grok bot writes, never routes, while risky cases stay outside automation at 200,000 events, jev costs $11.76 while writing reaches $240. a 4% escalation rate is enough for generation to dominate spend. my takeaway: once decisions become cheap, attention becomes the budget. scaling means keeping writing rare instead of endlessly hunting for a cheaper writer.
这条是引用着另一条写的：x.com/gippp69/status/2103394701063737504