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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 2 of 4

  • Chrome extension that grades readable page sections on ten rubric scores with Jev via Vercel AI Gateway and gives the page an A-E grade.

    ProjectbetaTypeScript
  • npm library where Jev judges whether an agent's recent steps are stuck on the same assumption; code returns CONTINUE, WARN, REPLAN or HALT.

    ProjectbetaTypeScript
  • pytest plugin for semantic assertions on LLM output, asking Jev whether plain-English claims hold with a 0.8 probability bar.

    PluginbetaPython
  • Rust terminal coding agent for local models whose swarm mode can use Jev to referee parallel attempts and pick a typed winner.

    LibrarybetaRust
  • Node tool that crosschecks a folder of Markdown notes for contradictions and repeats, and ranks notes by any question, using Jev.

    ProjectbetaJavaScript
  • CLI and agent skill that checks every line of a document against every rule with Jev and outputs flags for an AI agent to fix.

    Agent skillbetaTypeScript
  • Bilingual turtle-soup (lateral-thinking) puzzle site where Jev acts as host, judging player questions and grading solutions.

    AppbetaTypeScript
  • Command-line tool and SDK that answers typed questions about text with true/false, a label or a number, for scripts and evals.

    ProjectbetaRust
  • Document evaluation CLI and CI gate using Jev or OpenAI Decisions, with pre-registered validation and documented reliability limits.

    CLIbetaPython
  • Tournament engine that ranks texts with Swiss pairing, Elo and TrueSkill, using Jev or local models to judge each head-to-head duel.

    ProjectprototypePython
  • Experimental memory admission lab: Jev weighs a proposed memory against its source and a small policy says save, skip or defer.

    ServiceprototypeJavaScript
  • Read-aloud English tutor: streaming ASR transcribes, then Jev judges word by word whether each word was read correctly.

    ProjectprototypeJavaScript
  • Desktop tool for testing chat endpoints conversationally, with rule checks and judged checks including TypeSafe's System One.

    ProjectprototypeTypeScript
  • 'Vitest for LLM outputs': CLI running YAML/JSON eval suites on Jev for RAG faithfulness, hallucination and agent safety in CI.

    CLIprototypeTypeScript
  • Python CLI that shows which OpenAI model Jev would route a query to, independently reviewed by a local Ollama model.

    ProjectprototypePython
  • Scaffold of n8n workflow patterns using Jev for PII screening, agent guardrails as hooks, and workflow evals with Jev as judge.

    Projectprototype
  • Concept prototype for marking NZQA scripts from rubric criteria alone with one Jev call per script and confidence-based triage.

    ProjectprototypeJavaScript
  • Tool where Jev clicks through your web app from plain-language steps, stops below 80% confidence, and a vision model checks pages.

    Agent skillprototypeJavaScript
  • Learning lab for DeepEval with Jev as the judge: replayed evaluations, adjustable decision rules, release gates and drift alerts.

    ProjectprototypePython
  • Russian-language Letta agent skill that uses Jev as a fast external judge, with rules for treating mid-range probabilities as 'unsure'.

    ProjectprototypePython
  • Solana Meteora DLMM liquidity agent with rule-based hold/rebalance/exit/enter decisions; Jev judgments run in shadow mode only.

    ProjectprototypeTypeScript
  • Local PR reviewer: deterministic diff handling plus Jev or Laya judgments of severity, category and true-positive per hunk.

    ProjectprototypePython
  • Benchmark harness comparing Jev with OpenRouter models and open Jev-shaped models on accuracy, calibration, latency and cost.

    ProjectresearchPython
  • Write-up testing whether Jev beats small fast LLM tiers on public and private classification, as a classifier or a filter.

    ProjectresearchPython
  • Research demo where Jev answers plain questions about text and a small learned head adds new questions from human feedback.

    ProjectresearchPython
  • Audit of 300 web pages for AI citability with nine Jev decisions each, checked against an LLM judge for agreement, cost and latency.

    ProjectresearchPython
  • Same support agent and 25 rules guarded twice, by an LLM judge and by Jev, compared on accuracy, latency, cost and coverage.

    ProjectresearchTypeScript
  • Portuguese study using Jev as a real-time guardrail and as a pre-evaluator for LLM-as-judge on customer-service agents.

    ProjectresearchPython
  • Reproducible evaluation harness and field note for the Jev Ultrafast research browser, with QC-graded baseline and stress suites.

    ProjectresearchPython
  • Short report comparing Jev and many other fast decision classifiers with an LLM on grading section relevance in technical documents.

    Projectresearch