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Core Concepts

Atomic question

A question that asks one specific, well-scoped thing — the kind of judgment a knowledgeable person makes in a few seconds.

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Core Concepts
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docs.typesafe.ai
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2026-09-24

Definition

The docs call this probably the most important concept in the guide. Atomic questions expose each judgment so you can inspect, tune, and combine them in code, instead of hiding several decisions behind one broad answer.

"Does this message convey urgency?" is atomic. "Analyze this message and determine the best course of action" is not — it needs slow reasoning and is a signal to decompose.

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Related terms

Definitions that connect to this one.

DecompositionBreaking a broad judgment into one question per factor, then combining the answers with weights and rules you control in code.Core ConceptsQuestionA named judgment for Jev to make about the state, defined by an ID, a type, instructions, and criteria for the typed primitives.Core ConceptsSystem Two taskWork that needs extended, multi-step reasoning; the docs treat it as a signal to decompose rather than a job for Jev.Core ConceptsComposite scoringBreak a judgment into atomic Score questions, normalize each, and combine them with weights you control in code.Patterns

From the directory

How to Build with TypeSafe
Design AI-powered software by keeping code in control and giving System One narrow, structured decisions to make.
Practices & PatternsDocs#official#patterns#architecture
Official
Primitives: Choice, Score & Noul
The three TypeSafe question types, the typed answers they return, how to choose between them, and how to ask several in a single call.
Practices & PatternsDocs#official#primitives#choice
Official

From the community

Posts from builders shipping with Jev right now.

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A really smart switch statement

Nathan Flurry 🔩
Nathan Flurry 🔩
Rivet
@NathanFlurry
·

hype-free explanation of jev: jev does not replace gpt / claude jev is just a *really* smart switch statement like if 2016 ml classifiers got 2026 levels of intelligence it's a new* type of tool that will make a lot of workloads insanely fast, cheap, and accurate * = and by Show more

Diogo Almeida
Diogo Almeida
TypeSafe AI
@CompleteSkeptic

After co-inventing ChatGPT, I kept asking myself: why have superhuman chat models not led to AGI? I’ve spent the last 2 years in stealth building a new way to train models (RLCD), and a new type of frontier AI model that we are releasing today: Jev • 20-200x faster • 40-400x

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When a designer gets Jev

Full Jev video tutorial

The case against Jev-scored compaction

Theo - t3.gg
Theo - t3.gg
@theo
·

This is a terrible compaction strategy that fundamentally doesn't understand how compaction and context management work. Seems like a lot of people are confused so let's break this down. 1. Compaction isn't a filter The role of compaction is to clean up history to keep the Show more

tamara
tamara
@tamarajtran

found the perfect use case for @typesafeai Jev: instant compaction in 2026, why is compaction still a summarization prompt? Jev can make it instant by scoring every tool call and dropping what’s irrelevant

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Classifying rows in DuckDB

A playable 16-judgment demo