A hybrid CLI and SPA dashboard leveraging the TypeSafe System One (Jev) API to perform quantitative, rubric-based evaluations of markdown documentation.
Research and benchmarks — page 17
Benchmarks, papers and independent reproductions. Read these when you need to understand behaviour rather than adopt a library.
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Audit of TypeSafe Jev and five generative models (Claude, Grok, GPT-6) on Taiwan's sovereignty in Traditional Chinese, Simplified Chinese and English
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在自己的数据上评测 TypeSafe Jev 的准确率、概率校准和可用阈值
975 PLC tag Expressions in Under a Quarter of a Second
Evaluate Jev (TypeSafe System One decision model) on GAOKAO-Bench objective questions - accuracy, confidence calibration and latency over 1497 Chinese college-entrance-exam multiple-choice questions
Lightweight local supervision and governance for AI coding agents, using deterministic checkpoints and sparse Jev evaluations.
Typed, confidence-aware Jev routing for LangGraph.js with reproducible benchmarks
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MCP server for TypeSafe Jev (System One): one typed evaluate tool over streamable HTTP
Review public code and documents with Jev in Codex and Claude Code: ranking, batch screening, claim checks, spend limits, and evaluation tools.
Weekly builds on Jev (TypeSafe AI), benchmarked honestly enough to publish. Week 01: inbound lead triage, 90% routing at 366ms and $0.04 per thousand leads.
Probabilistic soft-constraint evaluation for volunteer scheduling using TypeSafe Jev, with deterministic application policy.
Claude Code skill: integrate TypeSafe's Jev (System One model) into JS/TS projects — primitives, SDK, patterns, runnable example, triggering evals.
Multi-agent customer support API where the LLMs write the text and a typed decision model makes the decisions. Jev (TypeSafe System One) handles routing, response evaluation and retry/escalation; FastAPI + Ollama. Includes a 60-ticket benchmark against LLM free-text and structured-JSON baselines.
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Empirical benchmarks, task telemetry, and engineering thesis for Jev (TypeSafe AI) System One in autonomous agentic organizations
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JEVChess is an elegant, minimal chess platform designed around the chess.com aesthetic, It delivers rapid tactical responses using TypeSafe AI's **Jev** System-One model and heuristic fallback evaluation, without requiring any external database.
Behavioural anti-cheat research bench for Minecraft (Paper): mining telemetry, typed LLM questions, and an offline benchmark against classic X-Ray heuristics. Shadow mode only, never bans.
JimmyJenk: a local harness for Jev-style System-One decisions (Noul / Choice / Score) from any LLM's token logprobs. vLLM + llama.cpp backends, playground, calibration and robustness evals.
Head-to-head evaluation of Laya (open weights) and TypeSafe Jev on email intent classification
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Benchmark de triagem de revisões sistemáticas: JEV (TypeSafe) × DeepSeek V4 Flash × Qwen3-Reranker, contra o julgamento documentado de autores reais (SYNERGY+ v3.0)
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JEV-inspired typed runtime decisions over long-horizon PSG: reusable overnight encoding, sparse retrieval, and Choice/Noul/Score probabilities.
Benchmark for typed System One decision models (Jev, Laya, and whatever comes next): calibration against a noise floor, framing sensitivity, selective prediction, ordinal fidelity, interference, robustness. pip install sys1bench.
No project description available.
Jev-powered decision workflows for Codex image generation. Explicit constraints, bounded repairs, and honest evaluation.