Using Jev to triage a million Slack events for always-on Dots
The approach uses Jev's CHOICE, SCORE, and NOUL to screen Slack messages first so only the top 10% of high-priority events reach GPT-6 Astra, at roughly $19 per million decisions.
THIS IS FREAKING INSANE! everyone is letting their Dot read every Slack ping on GPT-6 Astra, while Jev screens 1,000,000 of them for $19 Dots never sleep. own cloud computer, a browser, 4,000+ apps that's the point. and that's the problem an always-on agent sees everything. every email, every ticket, every calendar ping and every single one gets read by the expensive model you already have the fix. put Jev at the door: ▸ CHOICE - ignore / reply / act, for every event ▸ SCORE - urgency 1 to 10. only 7+ wakes the Dot ▸ NOUL - does a human sign off? refunds and passwords: yes $0.042 per million input. output free a 3-question ticket: $0.000019 and when Jev says 0.8, it's right about 80% of the time the Dot only gets the 10% that's worth its time the other 90% never touch GPT-6 Astra 1,000,000 decisions for $19 one model can't talk. the other never stops. use both.
This post quotes another post: x.com/thegreatest_sv/status/2102802378378621355