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Free Lesson
Jev: AI That Just Decides
45 min
Oct 9, 2026 12:00 PM
What you'll learn
Why decisions don't need a chat interface
See how removing autoregressive text generation lets a model output typed answers, not prose.
What "System 1" AI means for your stack
Learn where fast, non-conversational decision models fit next to your existing LLMs.
Reading calibration, not just accuracy
Understand why a model's confidence score matters as much as its answer for automation.
Where non-autoregressive models fit in production
Identify real-time, high-throughput use cases where token-by-token generation is the bottleneck.
Why this topic matters
Enterprise AI work has shifted from "generate text" to "make a decision": routing, scoring, classification, triage. New models built to skip autoregression entirely (a category sometimes called "System 1" AI) promise order-of-magnitude speed and cost gains for exactly these tasks, without giving up transformer-grade reasoning. For teams running AI in real-time or high-volume pipelines, this is a shift worth understanding.
You'll learn from

Amir Feizpour
Founder @ Aggregate Intellect
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Suhas Pai
Co-founder & CTO @ Hudson Labs




