Research and benchmarks — page 20

Use Jev model from TypeSafe to evaluate if there is an improvement in latency and cost in the agentic loop for tool decisioning.

Real-time ad ranking and creative review on a typed evaluation model — one call prices a whole auction, no trained CTR model, no logged clicks.

Code when exact. Jev when useful. Agent when uncertain. A lightweight routing layer for computer-use agents, with real workflow benchmarks.

Runnable question sets for TypeSafe's Jev, an eval harness with measured CLINC150 results, and a linter for the request shapes the API silently mis-reads.

Historical paper-trading simulator for evaluating TypeSafe AI JEV decisions

Cheap fail-open semantic edge layer for Jev (TypeSafe System One): decision service + confidence policy + decision logging + blind eval harness + skill router over 1,000+ skills. Stdlib-only Python.

Context-carrying graph retrieval with Jev: branching walks, reproducible ablations, and a visual replay.

Jev-backed guardrails for agent tool calls: library, native OpenCode/Hermes/DeepSeek Harness hooks, and a hosted eval-credit service.

Benchmarking Jev (TypeSafe System One) on 5,000 real CDC survey respondents, with an interactive demo where every profile has a real model answer

Benchmarking TypeSafe's Jev against four rival prompt-injection detectors on 11,900 labelled prompts

Typed client and benchmark harness for Jev, TypeSafe AI's System One decision model, through the Vercel AI Gateway. Measure accuracy, calibration and cost on your own data before you trust a threshold.

Is Jev (TypeSafe System One model) a decent preflop poker player? Reproducible benchmark vs 4 reference styles

Local Jev evaluation workbench: datasets, typed questions, threshold simulation and run comparison

Benchmarks of TypeSafe Jev on Finnish text: reranking, code search without an index, intent classification, citation checking and lecture-transcript reranking.

Auditing LLM deep-research reports with TypeSafe's Jev: source authority, relevance, and whether cited figures mean what the report says

TypeSafe’s Jev AI + an n-ary memory tree = efficient agentic memory routing and retrieval.

Benchmark: TypeSafe Jev vs traditional LLM on support-ticket routing accuracy, latency, and cost

Jev Workbench: a C++ desktop workspace with Python diagnostics and structured TypeSafe evaluations

Open, auditable reproduction of TypeSafe Jev: a 2B probabilistic decision model benchmarked across six public suites with weights, code, and receipts.

100% clean-room, copyright-free 2D platformer benchmarking TypeSafe Jev AI in real-time control (60 FPS)

Evaluating TypeSafe's System One model Jev through camera-based food allergen estimation (Flutter, iOS/Android)

Real-time creator intelligence powered by direct TypeSafe Jev decisions and measurable full-corpus evaluation.

Playwright AI Benchmark: Klasik Playwright vs JEV (TypeSafe AI) vs GPT-5.6 Luna vs GLM-5.3

TypeSafe Jev shadow-evaluation plugin for Rspamd with optional GPT provider comparison