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Choice Score Noul

3 articles · Page 1 of 1
Qborfy AI
Qborfy AI
Sep 29, 2026 · Artificial Intelligence

Jev Decision Model: Designing Choice, Score & Truth Judgment Interfaces for AI Systems

This article explains how to design decision interfaces for AI systems using the Jev model, covering Choice, Score, and Noul primitives, structuring decisions with context and candidates, differentiating from JSON Mode, and avoiding common pitfalls like missing fallback options and conflating multiple decisions.

AI decision interfacesAI system architectureChoice Score Noul
0 likes · 17 min read
Jev Decision Model: Designing Choice, Score & Truth Judgment Interfaces for AI Systems
Architect
Architect
Sep 22, 2026 · Artificial Intelligence

Jev: Extracting Semantic Micro-Judgments from Agent Loops into Observable Decision Layers

TypeSafe's Jev isolates semantic micro-judgments — routing, risk scoring, boolean checks — from generative LLM calls using Choice, Score, and Noul primitives that return typed probabilities, enabling policy code to branch directly on observable, auditable signals instead of parsing free-text model outputs.

Agent ArchitectureChoice Score NoulJev
0 likes · 25 min read
Jev: Extracting Semantic Micro-Judgments from Agent Loops into Observable Decision Layers
IT Services Circle
IT Services Circle
Sep 20, 2026 · Artificial Intelligence

Jev: TypeSafe's Decision Model for Software — Hands-on Demo & Critical Analysis

This article introduces Jev, TypeSafe AI's System One decision model for software, covering its three judgment types (Choice, Score, Noul), Python SDK integration with code examples, confidence threshold handling, performance claims (193x speed, 444x cost), and critical limitations including calibration vs. accuracy distinction and Chinese language considerations.

API IntegrationChoice Score NoulDecision Model
0 likes · 12 min read
Jev: TypeSafe's Decision Model for Software — Hands-on Demo & Critical Analysis