Local-first WebUI for TypeSafe Jev: batch document evaluation, typed questions, formulas, and CSV export. Unofficial.
Research and benchmarks — page 19
Benchmarks, papers and independent reproductions. Read these when you need to understand behaviour rather than adopt a library.
537 active projects in this collection. All collections →
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Jevals (jevals.com): independent benchmark of TypeSafe's Jev vs LLMs
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JevKit is an open-source decision infrastructure that helps developers integrate Jev into their applications, define structured decision tasks, evaluate model performance, and build reliable fallback policies.
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Evaluation and calibration toolkit for TypeSafe Jev decisions
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Jev-powered consensus engine which Evaluates every YouTube comment individually to measure true audience agreement.
Jevtrieval is a retrieval-augmented generation demo. It retrieves documents from Qdrant, scores their relevance with Jev, and generates an answer from the selected documents.
Real-time last-mile delivery exception triage: Jev (TypeSafe AI System One) evaluates each event, deterministic guardrails decide. FastAPI + Streamlit.
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LLM movie recommender using Jev (TypeSafe AI) as a calibrated reranker, with an offline eval against an LLM judge
Local Nevada statute search and a reproducible evaluation of Jev-assisted ranking against keyword search.
Reproducible long-workflow benchmarks for Pi Sieve, with Astra and Luna comparisons.
Comprehensive poker game theory knowledge base, instruction-tuning dataset, and TypeSafe AI (Jev) evaluation benchmark for Limit & No-Limit Texas Hold'em.
Compare question formulations with held-out evaluation, bounded experiments and DecisionPack export.
Monitor semantic conditions with exact-input caching, hysteresis and source/evaluator plugins.
Small, reproducible comparison between two approaches to single-choice decision making evaluated on BBH Logical Deduction
Hybrid System 1 (TypeSafe Jev decisions) + System 2 (Claude Fable) demo with confidence-gated routing and cost/accuracy benchmarks.
A small RAG web app that visualizes every step of the retrieval-augmented generation pipeline
Large typed decision model evaluation benchmark and novel calibration standard (`calibration.json`) for any typed decision inference system, covering 275 distinct use-cases and 27,598 individual decisions for Jev-like open typed decision models.
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Modular Python integration layer for TypeSafe Jev, with a typed evaluation client, CLI, HTTP API, Docker deployment, confidence policies, and reusable Choice, Score, and Noul primitives.
Federated knowledge retrieval engine for AI agents. Routes queries across specialized backends (FTS5, ChromaDB, graph) via a registry-first orchestrator with TypeSafe/Jev AI routing and evidence re-ranking. Read-only by default, security-gated by design.
No project description available.
TypeSafe Jev (System One) as DeepSeek Harness agent tools, with the token accounting and benchmark to prove what they cost
Jev (TypeSafe AI) evaluation plugin for Hermes Agent — structured decision/classification/routing tool via Vercel AI Gateway
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Independent, pre-registered evaluation of TypeSafe AI's Jev. 5,721 calls, 21 experiments, 50 predictions registered before collection. Raw data included.
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RAGのretrievalにTypeSafe APIを使うアイデアの実装