Evaluation grading with decision models
Replacing LLM-as-judge steps with typed rubric scores or yes/no checks inside eval harnesses and regression suites.
118 public projects · page 3 of 4
Small eval that uses Jev to judge whether shadcn-ui/lint findings are correct and whether each message says what to change.
ProjectresearchJavaScriptHarness that runs Jev on all 19,646 TMMLU+ Traditional Chinese questions as four-way Choices, reporting accuracy and calibration.
ProjectresearchPythonTool that recomputes Jev's confidence identities on outputs published in public repositories to spot answers Jev never actually produced.
ServiceresearchPythonResearch adding plain-English constraints to JEPA world-model planning, with Jev judging each imagined step instead of an LLM.
ProjectresearchPythonInference-time loop where a System One judge like Jev scores a model's thought paths and picks which reasoning branch to keep.
ProjectresearchPythonStudy finding commercial decision models including Jev give different yes/no probabilities on Taiwan statements by Chinese script.
ServiceresearchPythonIndependent, source-linked research on Jev with about 948 rubric-scored public repositories, recurring patterns and verified findings.
ProjectresearchTypeSafe's official drop-in replacement for the SDK's system_one call backed by OpenAI, Anthropic or Gemini, for comparing Jev with LLMs.
LibraryproductionPython- WorkflowEvals★ 17
Official TypeSafe code to reproduce evals.typesafe.ai: four workflow evals comparing Jev with frontier LLMs on cost and accuracy.
LibraryproductionPython MCP server exposing a judge tool for typed noul, choice and score questions over JSON state, backed by Jev.
MCP serverbetaTypeScriptDeclarative compiler that turns state, decisions and labeled examples into a measured, frozen JSON program of typed Jev questions.
LibraryprototypePython- jev-harness★ 30
Research proposal-review contract: an LLM proposes one action, Jev answers four narrow questions, code produces evidence, applies nothing.
LibraryresearchTypeScript Public wall where Jev answers short questions yes, no or it depends in about 100 ms and picks which LLM answers signed-in users.
AppproductionTypeScriptWriting checker running separate named Jev checks such as hedging, filler, tone and passive voice, each with its own verdict.
DemobetaTypeScriptCommunity tool that fetches a SaaS homepage as Markdown and asks Jev ten questions about first-visit clarity, with a leaderboard.
ServicebetaTypeScriptCLI that scans TS/JS and Python code for LLM calls that are really decisions, converts them to Jev and shadow-tests them on real traffic.
DemobetaTypeScriptCLI that transcribes a video, has Jev score every sentence against rubric flags, and renders a 16:9 edit with a live meter.
AppbetaPythonReliability testing for typed decision models: contracts, calibration metrics, metamorphic fuzzing and CI pass/warn/fail gates.
DemoprototypePythonMinimal web demo: paste an agent step trace and Jev judges whether to continue, retry, escalate or stop.
DemoprototypeTypeScriptUpload a paper PDF and get a fast Jev-based judgment of understandability and completeness, with low-confidence answers flagged.
DemoprototypeTypeScriptSelf-hosted playground running SystemOne requests through an emulator, Jev and an LLM judge to compare per-question fidelity.
AppprototypePythonStartup-idea evaluator where Jev scores eight indie-hacker questions and code turns the weighted average into KILL, FIX or SHIP.
AppprototypeTypeScriptProof of concept that scores replayed support-call transcripts live against a weighted scorecard using OpenAI Decisions or Jev.
AppprototypeTypeScriptVideo demo code comparing Jev with Laya, Strands Decider and Claude on grading, fetching and prompt-injection resistance.
AppresearchPythonWorkbench where Jev sorts training records into keep, review or reject, then trains LoRA adapters and evaluates them.
ModelbetaPythonBespoke Labs' open recipe, data and 9B LoRA model for Jev-style choice and true/false decisions, runnable on Apple Silicon or NVIDIA GPUs.
ModelresearchPythonComparative judgment of ASAP essays by Jev and two LLM judges, turning pairwise decisions into scores compared with human grades.
ServiceresearchPythonReinforcement-learning lab where cached Jev judgments act as reward signals for DQN agents on four classic control and grid games.
ModelresearchPython- reflexbench★ 6
Open benchmark for System One decision models on Choice, Score and Noul, reporting accuracy, calibration and robustness separately.
BenchmarkproductionPython Convex's eval repo with a 108-question multiple-choice benchmark comparing Jev's Choice answers with 14 LLMs on accuracy, latency and cost.
BenchmarkproductionTypeScript