CONTROLAgents & automation
Jev: An Independent Index for AI Engineering
Avid@Av1dlive
Jev is a framework designed to optimize AI agent workflows by identifying and automating decisions that do not require lengthy LLM responses, thereby building reliable loops around them.
Pattern↑ Jev AI decision models
a co-creator of ChatGPT just dropped what could power the AI engineer’s stack for 2028.
it’s called Jev.
i spent 48 hours trying it and wrote a 34-page guide with 20 workflow designs and copy-paste build prompts.
here’s what’s inside:
→ how Choice, Score, and Noul work
→ where Jev fits in your existing stack
→ how to batch independent decisions
→ what the speed and cost benchmarks actually measure
→ how to build model routers, memory filters, research screeners, and browser controllers
plus 8 diagrams, 19 references, and demo code with 30 offline checks.
the goal isn’t to replace your entire agent.
it’s to find the decisions that don’t need another long LLM response, then build a reliable loop around them.
start with one decision. test it. expand when the results justify it.
how to master Jev: full paper and build kit below ↓