All decision model projects

Mobile-first Hugging Face space for exploring tiny decision models: feel the latency gap, try a toy router and vote on repros.

Small harness calling Jev via OpenRouter's Decisions API, with 17 doc-derived cases and a latency and cost benchmark against two LLMs.

Three-level AI interrogation game where Jev gives plea, logic and paradox verdicts on the player's statements.

Gate that asks Jev whether a timer or event is worth resuming a sleeping agent's LLM, skipping only when confidently not.

OpenJev: 151M ModernBERT decision model with RLCD-style calibration, a JevBench audit and an in-browser WebGPU playground.

Small labelled support-triage benchmark of jev-1.13 on OpenRouter covering noul, choice, score, routing, consistency and cost.

Curiosity project, not a benchmark: over a million questions from 312 sources put to Jev, mapped by topic and written up as experiments.

Pre-registered independent check of Jev's calibration and type safety on Banking77 and CLINC150, with a split verdict and sealed logs.

Research framework for biomedical decision models on Qwen3.5, studying domain pretraining, NLI training, calibration and abstention.

Benchmark comparing Jev, other decision models and LLMs on four judgments over 60 synthetic candidate-experience reviews.

Benchmark of Jev, OpenAI Decisions, Clef, Microsoft-Decision-1 and Claude on 2,321 labelled cases for latency, cost and calibration.

Independent benchmark of Jev, constrained-output LLMs and baselines on intent and spam tasks: accuracy, latency, cost, calibration.

JIT-JEV Context OS: deterministic context compiler plus a Jev System 1 gate that scores AST relevance, test proofs and tool targets.

Bilingual evidence map of where Jev holds up and where it breaks, built from recorded API-call receipts rather than a leaderboard.

Offline-reproducible benchmarks of Jev decisions in DSPy pipelines: calibration, selective risk, confidence gating and cost.

Intrusion detection where Jev sees one network flow and five labelled examples and returns attack yes/no and category.

Reproducible benchmark of Jev vs Claude Haiku 4.5 on 2,000 emails deciding whether an agent should click a link, with calibration audit.

Fourteen-dataset reranking study of Jev vs Cohere Rerank 4, zerank-2 and chat models, with raw responses and bootstrap intervals.

Graded relevance study over 9,831 labelled pairs: Jev reranking alone does not beat embeddings, but fused with them it is best.

Benchmark of Jev 1.13.0 against 11 classical classification pipelines on eight datasets under a published protocol.

Benchmarks Jev against frontier LLMs on Who&When Pro: attributing multi-agent failures to an agent, step and error type.

Independent benchmark of Jev vs Sonnet 5, GPT-5 nano and local LLMs on 770 Reddit AITA verdicts: Brier score, latency and cost.

Study of whether Jev's reading of financial news predicts stock returns: strong same-day signal, no tradeable alpha.

Benchmark of Jev versus Claude Haiku 4.5 as input safety classifiers on jailbreak, evasion and benign pseudo-harmful prompts.

Experiment using Jev through langchain-typesafe as an agent-eval judge, compared with GPT-5.6 and Claude Sonnet 4.6 against human labels.

Two Jev benchmarks with a playground: chess (out of lane, about 950 Elo with code-supplied facts) and NPC addressee detection (F1 0.96).

Reproducible benchmark of Jev vs Claude Sonnet 5 on classifying agent tool calls as readonly, destructive, privileged or exfiltration.

Large rubric-classification benchmark of Jev vs Claude Haiku 4.5, Sonnet 5, OpenJev and many open models, with full price tracking.

Probability-aware evaluation of decision models: calibration, coverage at a fixed error budget and latency, Jev vs GLiNER2.5.

Benchmark of zero-shot Jev versus a PyTorch MLP and k-NN on embeddings for Jigsaw toxic comment classification.