A no-login page that scores pasted prose sentence by sentence with Jev, using a 0–4 style rubric, and highlights only the sentences that cross its threshold.
.NET SDK for the System One API with typed question sets, HttpClientFactory and dependency-injection wiring, plus Microsoft.Extensions.AI guardrail, routing, tool, and evaluator adapters.
A NativeAOT-ready .NET SDK generated from TypeSafe's OpenAPI definition, with typed question sets, batching, dependency injection, and Microsoft.Extensions.AI integrations.
Agent-ergonomic CLI following the AXI conventions that gives coding agents Jev judgments for blocking risky tool calls, screening fetched content for prompt injection, triaging logs, flagging risky diffs, and ranking many items. Routine commands are decided locally at no cost.
A security hook for coding agents that asks Jev three typed questions before every tool call and scans tool results for prompt injection, with adapters for Claude Code, Codex, Copilot CLI, Gemini CLI, Cursor, pi, OpenCode and ACP.
Blind security benchmarks for Jev on public corpora: 662 prompt-injection messages and 200 matched vulnerable-code pairs, with raw per-sample results and a TUI dashboard.
An exploratory study of zero-shot ham, spam, and phishing classification with Jev: enriched email context raised main-set accuracy from 93.62% to 98.64%, within 0.23 points of a trained TF-IDF baseline.
Fifteen runnable OpenRouter recipes for Jev covering support triage, database indexing, PII scanning, moderation, lead scoring, a browser agent, and a Gmail labeler, each with a small labelled dataset and saved live results.
A self-hosted Discord bot that classifies messages with Jev in real time, deletes spam and scam links, escalates repeat offenses through warnings to timeouts, and profiles members from message history.
A single-binary Rust gate that screens staged git diffs for unredacted secrets, prompt-injection attacks, and destructive commands with calibrated Jev probabilities in about 80 ms, invoked as git jev.
A Rust derive layer for typed System One decisions: enums and structs become Choice, Score, and Noul questions with compile-time-checked, confidence-gated answers, plus a scriptable fake client for network-free tests.
A tool-call gate for Claude Code, Codex, Cursor, and other harnesses backed by Jev: deterministic rules and a read-only allowlist run first, then one request answers allow, ask, or deny in about 400 ms.
Neon Function proxy and showcase site that puts request bodies to Jev: the judgment is the URL path, and bodies that pass can be forwarded unchanged to a caller-chosen HTTPS target.
Private TypeScript proof of concept that flags Spanish profanity with Jev Boolean and Score questions and replaces the matching word intervals with a beep via ffmpeg, keeping the original duration.
A local, read-only Gmail triage app that sorts mail into five trays with Jev: each message becomes one experimental_evaluate call answering tray, urgency, and human-written questions, and 1,000 emails sort in about a minute for around 3 cents.
A Windows WeChat side panel that reads the visible conversation with local RapidOCR, has Jev judge intent and tension and rank three reply candidates, then fills the chosen one into the input box; sending is always manual.
Sixteen thousand calls against gpt-5.4-mini and gpt-5.6-luna on four public datasets plus production pipeline decisions, with a threshold procedure and an explicit filter-not-replacement verdict.
A repeatability study: an 8-question moderation rubric run 15 times per condition shows a mean probability standard deviation of 0.0098, and a 0.60 uncertainty gate lifts agreement to 99.2%.
Score retrieved passages with four Noul questions each, then route in code: prompt injections dropped, false premises kept as conflicts, and evidence assembled separately for the generator.
A plain-English guide to Choice, Score, and Noul with Python and curl examples, confidence-gated branching for support, moderation, and fintech, plus a skeptical read of the benchmarks.
A monorepo of roughly 20 latency-focused demos: moderation firehoses, rerankers, inbox triage, macOS launchers, and closed-loop control simulators, each with p50/p95 telemetry.
Screen every message going into and out of an LLM app: a Noul describes possible hazards, a Score rates severity, and code thresholds the probabilities.
.NET SDK for the System One API with typed question sets, HttpClientFactory and dependency-injection wiring, plus Microsoft.Extensions.AI guardrail, routing, tool, and evaluator adapters.
A NativeAOT-ready .NET SDK generated from TypeSafe's OpenAPI definition, with typed question sets, batching, dependency injection, and Microsoft.Extensions.AI integrations.
A monorepo of roughly 20 latency-focused demos: moderation firehoses, rerankers, inbox triage, macOS launchers, and closed-loop control simulators, each with p50/p95 telemetry.
Most Jev accuracy problems are state problems. What belongs in a state, what is a pre-made judgment to leave out, and why naming the slice you ask about matters more than the wording.
A decision model cannot be talked into generating text, but the label is still a target. Why narrow, literal questions resist injection and why keeping the act in code is the real backstop.
Jev takes text only; Clef-omni adds image, audio, and video input and Liquid d1 adds images, each keeping the same typed-answer shape. Where that matters, where it does not, and the costs the vendors underplay.