Jev CEO explains building a decision brain for agents
In an 18-minute video, ex-OpenAI researcher Diogo Almeida argues Jev is 200x faster and 400x cheaper than generative models for the small decisions agents make.
Jev CEO, Diogo Almeida (ex-OpenAI): "It's not Claude Code because Claude Code is still part of the assistance era." He co-authored GPT-4, ChatGPT, InstructGPT and RLHF. Now he's building what comes next: 200x faster. 400x cheaper. A decision brain for AI agents. His argument is simple: frontier LLMs are insanely good at creating, but we're wasting them on thousands of tiny decisions: Which agent goes next? Is this relevant? Does this need approval? Those calls don't need generation. They need a model built to decide. In 18 minutes, Almeida explains why today's AI was built for assistance, not real automation, and why "tomorrow's AI will be for automation." This makes most $500 agent engineering courses look obsolete. Watch it today, then steal my 10-step guide to giving your agents a decision brain below ↓
This post quotes another post: “Jev could become the control layer AI agents have been missing”