Amir Feizpour
Suhas Pai
Free Lesson

Jev: AI That Just Decides

45 min
Oct 9, 2026 12:00 PM

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155 students

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

Amir Feizpour

Founder @ Aggregate Intellect

Suhas Pai

Suhas Pai

Co-founder & CTO @ Hudson Labs

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