questions: { stuck: boolean, destructive: boolean, }
jev-playground
TypeSafe AI の System One モデル Jev を MoonBit から触るためのプレイグラウンド。

Every project here really calls Jev in its source · refreshed daily
questions: { stuck: boolean, destructive: boolean, }
TypeSafe AI の System One モデル Jev を MoonBit から触るためのプレイグラウンド。
questions: { does_pass: boolean, }
Using Jev as an evaluator.
questions: { route: choice, toolFree: boolean, }
Jev-native AI security harness for autonomous research, multi-agent swarms, persistent hunt boards, and long-running agent workflows. CLI-first, open source, and built for authorized security research.
questions: { a: boolean, b: boolean, }
Inspired by TypeSafe Ai, Ask a local LLM typed questions, get calibrated probabilities instead of text. Structured output without generation or parsing. MLX / Apple Silicon.
questions: { urgent: boolean, }
Connect JEV to MCP clients and compare its judgments against general-purpose LLMs using shared datasets and measurable accuracy.
questions: { instructions: boolean, }
TypeSafe Jev routing for Oh My Pi, with an opt-in checkpoint orchestrator and editable XDG configuration. Requires Bun = 1.3.14 and OMP = 18.2.3.
questions: { done: boolean, }
A chatbot from typed Jev decisions: hierarchical speculative decoding over System One probabilities.
questions: { done: boolean, blocked: boolean, }
jev-browse is an unofficial project and isn't affiliated with TypeSafe or Vercel.
questions: { what: choice, }
Operator lab for TypeSafe Jev. Chess Arena, closed-schema booths, Stockfish HUD for review only.
questions: { department: choice, }
Measure when to use Jev and other models on your data, then route accordingly.
questions: { task_completion: score, instruction_following: boolean, grounded_in_evidence: boolean, // +5 }
Affordable for parallel online agent evals and observability. Powered by JEV.
questions: { action: choice, }
Jev and Microsandbox explore alternate game futures with a reusable TypeScript learning harness
questions: { label: choice, }
Owned, deterministic classifier for checking whether agent claims are supported by evidence, with optional Jev comparison through Cloudflare AI Gateway.
questions: { is_urgent: boolean, severity: score, }
Shadow-mode validation harness for a pre-execution firewall on AI agent tool calls (TypeSafe/Jev). Real run, findings in report.md.
questions: { is_regulation: boolean, mentions_deadline: boolean, mentions_fines: boolean, // +5 }
Never confidently wrong: a TLA+-verified consensus kernel around TypeSafe's Jev, run through 1,680 chaos-tested pharmacy decisions with zero wrong verdicts. Film, code, and every captured call.
questions: { topic: choice, requests_credentials: boolean, sender_identity_mismatch: boolean, // +4 }
Experiments on TypeSafe Jev (System One decision model) via OpenRouter: repeatability, perturbation, and LLM baseline comparison
questions: { failure_domain: choice, customer_impact: score, systemic_outage: boolean, }
A garage full of tiny experiments for building critical systems with System One & Jev 🔧🧠⚡
questions: { impact: score, }
TypeSafe AI (jev) 시범 사용 프로젝트
questions: { is_urgent: boolean, needs_human: boolean, is_financial: boolean, }
Compare GPT generated language with JEV structured Noul decisions on the same input.