A model-agnostic, Jev-first Responsible AI harness for assessing AI systems for prompt injection, secret/PII leakage, unsafe tool use, and policy bypass. Runs portable tests, captures evidence, scores risk with calibrated uncertainty, and routes serious or unclear findings to human review.
Applications — page 35
Complete applications where Jev makes a product decision: routing, ranking, classification or approval.
2,602 active projects in this collection. All collections →
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Fast, prefill-only decision model. Typed questions in, calibrated probabilities out, single forward pass with TypeSafe System One API. inspired from jev
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Linter for source-code comments: grades accuracy and usefulness with TypeSafe Jev and deletes the useless ones
Seems: Python, plus judgment. A superset of Python where a condition can be plain English, answered by TypeSafe Jev as yes, no or unsure. Playground, examples and the language guide.
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Steve
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Clean up Gmail and YouTube with AI, safely: Jev judges each email or channel, plain code sets the limits, you approve. pipx install tidy-ai
Ruby client for the TypeSafe AI(Jev) System One API
Runnable demos of TypeSafe's System One model (Jev) — parallel Noul judgments and a Choice-based citation/claim checker
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Jev-powered Judgment layer for Claude Code. Stops paying reasoning prices for if-statements: a PreToolUse hook scores every tool call against a YAML policy you own — allow / deny in ~100 ms, no LLM in the loop. TypeSafe Jev now, local models next. Dry-run by default, calibration table published.
Tetris arcade jogado pelo Jev da TypeSafe AI, com decisões em JSON, antecipação de jogadas e custo por partida.
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Safe-controls Chrome feed filter (v3.3.0) with TypeSafe Jev judgments, temporal topic mutes, repeat grouping, API usage panel with thrift mode, author pickers, transactional cosmetic picker with Undo, persist-first recovery, and six supported platforms including Wykop (beta). Zero runtime dependencies.
No project description available.
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Plain-English pull request checks powered by Jev. One condition, a minimum confidence, one check.
Measure what Jev can actually do before you build on it. Graded findings, ruled-out candidates, and recipes with stop-conditions. 0 promotions — on purpose.
No project description available.
AI-powered pre-commit auditor backed by TypeSafe System One (Jev) — blocks secrets, vulns & low-quality code in ~300ms. 79-case test corpus at 100% accuracy.
Daily demo applying TypeSafe's Jev model to Spain's official gazette (BOE).
Experiment: using TypeSafe Jev as a chatbot by choosing replies one letter or word at a time
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JSON-in, typed-decisions-out CLI for the TypeSafe System One API
Smart, dynamic AI filtering for X and YouTube feeds using Jev
이름으로 나이대를 맞히는 React 웹 (TypeSafe Jev)
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Fake autoregressive language model powered by TypeSafe Jev
A bounded Jev risk check for Claude Code: eight risk axes, one request, one optional reinspection.
TUI Sandbox for Typesafe Jev API