7-minute video breaks down Jev's role as a decision layer
The video explains Jev as a decision layer between an agent and its models, tools, browser actions and human escalation, running 40–200x faster with 70–500ms end-to-end latency.
Caleb Writes Code just dropped a 7-minute breakdown of Jev, a new type of AI model built for fast decisions, not chat: one Jev decision layer can sit between your agent and every model, tool, browser action and human escalation. 25% → 1:48 – Speed: 40–200x faster, 70–500 ms end-to-end (per TypeSafe) 59% → 4:14 – Structured input, probability distribution as output 91% → 6:34 – Why narrow, specialized models are a net positive A quick way to understand what Jev is actually for, and why it's not an LLM replacement. Watch it, then read article below
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