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CommunityTools & IntegrationsPostVerified 2026-09-22

Screening agent actions with Jev

A test report that puts Jev in front of each agent action before it runs: most attacks were caught, with almost no false positives on legitimate tool calls.

Category
Tools & Integrations
Published by
Community
Author
isNickMa
Added
2026-09-22

The post

Tested TypeSafe’s Jev (no-text, probability-only model) as an AI agent safety monitor. Checking each action first worked well caught most attacks with almost no false blocks, and much faster than Gemini.

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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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Tagscommunityxagentsguardrailssecurity

Highlights

  • Jev screened each agent action before execution, catching most attacks in the author's test set.
  • The report tracks false positives on legitimate calls alongside detections.
  • Frames Jev as a fast action gate rather than a full security review.

Watch out

A single author's test report rather than an independent benchmark; the dataset and method are summarized in the thread.

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