ChatGPT co-creator's Jev: batch decisions without long LLM calls
DrDatta_AIIMS · x · 2026-09-21
The post (via @Av1dlive) introduces Jev, a new tool from a co-creator of ChatGPT, positioned as a building block for the AI engineer's 2028 stack. After 48 hours of hands-on testing, the author wrote a 34-page guide with 20 workflow designs and copy-paste build prompts.
The core idea: Jev doesn't replace your agent — it identifies decisions that don't need another long LLM response (model routing, memory filtering, research screening, browser control) and batches independent decisions via Choice/Score/Noul mechanisms, cutting speed and cost. The guide includes 8 diagrams, 19 references, and demo code with 30 offline checks.
Related event: Decision model Jev breaks adoption records amid hype and skepticism(14 posts)→
More from coding & agent
- Open-Source Agent Pipeline Auto-Audits Stale K8s Pod Labels, Buffers When Networks Go Down — aronchick · 2026-09-21
- Expanso Builds a Jev-Based Agent That Reads Pod Logs and Auto-Fixes Stale Kubernetes Labels — aronchick · 2026-09-21
- Turning GPT-6 Astra Into a Motion Graphics Studio: 5 Ad Renders in 18 Minutes — PrajwalTomar_ · 2026-09-21
- Sentry CEO: if your product isn't headless, you're investing in the wrong things — zeeg · 2026-09-21
- Clairvoyance marries your AI models to your data via rich metadata layer — draginol · 2026-09-21
- Dev wires Google Astra vs Fable to play RollerCoaster Tycoon over MCP to test computer use — scaling01 · 2026-09-21