Tag
Jev is TypeSafe AI's frontier model for fast, structured AI decisions, returning typed outputs with calibrated probabilities and now available to everyone.
Jev is a free AI tool designed to make decisions based on inputs like emails or leads without generating text, thus avoiding hallucinations and focusing on cost-effective AI decision-making.
This article provides a detailed guide to using TypeSafe's Jev tool, covering three types of question primitives, five beginner pathways, and practical suggestions for managing confidence levels.
The author discusses testing an AI system for product identification and listing in reselling, exploring how to determine when AI should act independently or escalate to humans, emphasizing a process of investigation and verification.
This paper introduces a multi-agent AI system for measuring and diagnosing competitive visibility in LLM-mediated e-commerce using Agentic Share-of-Search, with an ablation study showing feasibility.
Pascal Bornet discusses the paradox that as AI improves decision-making, humans may lose the opportunity to develop judgment and expertise, urging leaders to design deliberate practices for human decision-making.
The paper examines whether large language models exhibit stable and interpretable risk preferences in decision-making under uncertainty, using Texas Hold'em to quantify baseline risk dispositions and context-dependent adaptations.
Kai-Fu Lee announces the launch of TrueNorth Enterprise AI Decision Hub and Boss AI, an AI executive decision product designed to help CEOs and leaders capture signals, identify risks, and improve decision-making.