Jev is HERE. How to use it

Summary: This episode explains Jev, a decision-focused classifier AI by Dooo Almeida, contrasting it with conversational LLMs and showing practical demos, costs, and integration patterns.
– What Jev is: a schema-driven classifier that returns probability-weighted decisions (not free-form text), producing type-safe outputs you can use directly in code.
– Performance & cost: millisecond latency (~200 ms) and very low per-query cost — demo processed 1,700 emails (4.2M input tokens, 500k outputs) for $0.18 total.
– Practical applications: email triage and prioritization, lead scoring and service matching, short-clip detection and browser automation for instant routing and decisioning.

Quotes:

Jev is here and it’s a big deal.

It doesn’t generate any text at all — it just gives you a decision.

We had 4.2 million input tokens and the entire cost was 18 cents.