VERIFYAgents & automation

GPTBots.ai Integrates Jev for Two-Layer AI Architecture

International Elite Capital@IntlEliteCap

19 views · 1 likes on X · does not affect score

Aurora Mobile's GPTBots.ai platform has integrated Jev, TypeSafe AI's "System One" decision model, to create a two-layer AI architecture comprising a reasoning layer and a decision layer.

Related builds

Jev Decision Model

Jev is a typed decision model that returns a probability for a given state (question, answer, evidence) instead of generating prose or structured data, making it faster and cheaper than traditional AI judges.

Jose Luis Latorre | #MVP | #K6 | @DotNetZurich@joslat

40 views on XJev score 79

TypeSafe Computer Use

This project enables a Mac to achieve plain-English goals by combining OCR and the Accessibility tree to drive actions, avoiding large model loops for screenshots.

Yash Chaudhary@YashChaudhary

4 views on XJev score 78

Play video

Jev Decision Layer for Voice Pipelines

Jev acts as a decision layer in voice pipelines, utilizing typed primitives like Noul (yes/no with probability), Choice (labeled decision), and Score (scalar on a defined rubric) to process conversational turns before and during LLM responses.

Himanshu@Fabulous_7781

72 views on XJev score 76

Jev Skill Review

Jev is a decision model used to review a corpus of skills, providing ratings across rubric dimensions and identifying skills that may need distillation.

Kunal Jain@Kunal_Jain9

90 views on XJev score 76