Building a 24/7 always-on agent stack with Jev as the routing layer
Leo built an agent stack in a weekend where Jev routes every decision, Sol drafts, Astra handles hard cases, and 400 emails were triaged for two cents and read in 15 minutes.
sam altman's openai just made gpt-6 astra run 24/7 inside openai dots, and the cheapest way to keep it running is a $0.042 model from typesafe called jev that can't write a single word leo varga built the whole stack in one weekend: openai agents sdk builds the agent in 11 lines -> jev routes every decision -> gpt-6.1 sol drafts the routine work -> gpt-6 astra only wakes up for the hard cases -> leo approves what can't be undone jev is the strangest model release of the year: it can't chat, can't code, can't write a report. it answers yes or no, pick one, or rate it, with a confidence score on every answer, and it reads at $0.042 per million with zero output cost. a million decisions cost about $42. harrison chase's langchain already ships a router where jev picks the cheapest model that fits the task what happens to leo's 400 overnight emails: jev reads all 400 and sorts them for about two cents -> 380 get ignored, 12 go to gpt-6.1 sol for drafts, 8 get flagged for leo -> a 90-page client contract rated complex escalates straight to gpt-6 astra -> every risky action like delete_customer passes jev, then hard-coded rules, then leo's approval queue -> at 07:00 leo reads 8 flags and 12 drafts in 15 minutes instead of 2 hours sam altman prices gpt-6 astra at $10 per million read and $50 per million written. gpt-6.1 sol costs $2 and $10. jev costs $0.042 and nothing for output. most people will plug the biggest model into an always-on agent and switch it off after one bill. leo built the ladder first, and now he wakes up to finished work every morning
This post quotes another post: x.com/noisyb0y1/status/2105964235087856080