Jev: AI That Never Seen Before

Yesterday an incredible AI was announced, and it's way different than the AIs we know.

Unlike other AIs that have been optimized for chatting and long reasoning, Jev has been specially trained to focus on decision making. It runs in parallel and outputs its responses as typed primitives. It's also extremely fast and cheap.

Instead of spitting out arbitrary text, Jev can only output three typed primitives:

• Choice: Picks an option from a predefined list (e.g., routing a ticket to billing, legal, or support).
• Score: Rates an input against a defined rubric (e.g., assessing urgency from 1.0 to 10.0).
• Noul: Calculates a calibrated probability for a yes/no proposition (e.g., a 0.94 probability of fraud).

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How You Feed It Data#

1. The Input: Send any raw, messy text (e.g., an angry customer email, a raw server log, or a messy JSON payload).
2. The Declaration: Tell Jev what to evaluate by defining a strict schema in your code (the options for Choice, the scale for Score, or the question for Noul).

You get back a clean, strongly typed object ready for an if/else statement. No regex, no JSON.parse(), and zero syntax errors.

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Why?#

Because it's faster and cheaper. Maybe the real future is in typesafe AI.