Benchmarking TypeSafe Jev against general-purpose LLMs on support-ticket routing, with a focus on latency, accuracy, and confidence.
Jev ecosystem projects — page 182
5191 repositories with documented relationships and source evidence.
Small experiments with Jev by TypeSafe
TypeSafe Jev plays Guideline Tetris through Vercel AI Gateway.
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Calibrated PR review gates powered by TypeSafe Jev: a GitHub Action, a local CLI, and an OpenCode plugin
Reproducible TypeSafe Jev vs Knowledgator GLiClass bake-off on LocalLLaMA/typed-decisions
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Standalone Go CLI and MCP server for TypeSafe Jev: typed judgments, JSONL evaluation, and resumable batches.
No project description available.
Measuring TypeSafe AI's Jev on 41-clause contract review (CUAD, 20,500 decisions) against fast, cheap LLMs — latency, cost and F1
Typed decision control plane for agents, powered by TypeSafe Jev
TypeSafe Jev (System One) integrations for OMP, MCP, Claude Code, and Pi — fail-open decision routing, gating, and verbatim compaction.
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Research pipeline testing whether TypeSafe's Jev (via Vercel AI Gateway) can judge news and market data fast enough to matter. Bitcoin and US stocks, paper trading only.
HS code assistant MVP — localhost demo for customs HS6 suggestions
No project description available.
No project description available.
Run iOS Simulator goals with Jev, compare decision models, and replay every attempt. Python CLI and Brigade host wrapper.
DOM-native browser agent tested live against IRCTC train search
Evaluate Jev (TypeSafe AI) on Japanese customer-inquiry data: 150-item dataset + comparison script (Jev / LLM / rule-based)
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Experiments with TypeSafe's Jev: triage benchmark vs LLM, and a source study of jev-ultrafast vs Cline's jev-browser
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Small apps for evaluating TypeSafe AI's System One model (Jev). Unofficial.
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Sandbox for TypeSafe Jev: typed judgments over inbound messages
Triage de leads de WhatsApp/CRM con Jev (TypeSafe AI): ruteo por confianza, plantilla n8n y benchmark en español. Sin dependencias. No afiliado.
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Do I need to look at what Claude Code just did? A calibrated verdict per stop, judged by TypeSafe Jev. Pairs with jev-lens.nvim
Voice loan-call triage using TypeSafe Jev: intent, info sufficiency and a lending decision from typed AI judgments
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An LSP server whose ambient pass runs the rules a repository states in `.jev/rules/*.json`: each candidate line is sent to Jev, a classifier that answers one typed question with a value and a probability, never prose.