Routes each Claude Code turn's model and reasoning effort with TypeSafe Jev, and keeps small-window models away from large sessions.
Agent routing & tool choice — page 12
Routers and orchestrators that choose between tools, models, agents or workflow branches. Jev returns a typed choice instead of a sentence.
391 active projects match this task, ordered by traction.
Weekly builds on Jev (TypeSafe AI), benchmarked honestly enough to publish. Week 01: inbound lead triage, 90% routing at 366ms and $0.04 per thousand leads.
AI TUI harness using Vercel Eve and typesafe-ai/jev for dynamic model routing
Independent measurement of a Jev (TypeSafe System One) skill router on a real Hermes agent roster: 81 labelled turns, router scorecard, and an inconclusive agent-level appendix.
Race TypeSafe AI's Jev classifier against an LLM on support-ticket triage — live speed, cost and accuracy, with probability distributions and confidence-based routing.
No project description available.
Let Jev judge. Let your code decide. Python issue-routing sandbox with labeled replay, an offline demo, and Kev support.
n8n community node for TypeSafe AI's Jev System One decision model
typesafe jev openclaw plugins
Jev-powered model router - measured 77.8% token-cost savings on real workloads. Local-first, cloud when it earns its cost. No accounts, no keys.
UiPath Maestro Flow x TypeSafe Jev - a card dispute triage bench comparing a calibrated typed-decision model against an inline AI agent on identical work, with latency and cost measured at runtime.
Multi-agent healthcare pipeline using Google ADK, stdio MCP tools, and TypeSafe Jev safety gates for instant emergency triage and clinical draft QC.
No project description available.
A Jev practice catalog and local-first Agent skill router: map recurring logs to reusable decisions, tools, and workflows.
プロジェクトの直近10件の Issues をトリアージしてブランチを作成するツール
GitHub Actions bot that auto-triages incoming issues using TypeSafe AI's Jev decision model. Classifies by category, automatable, and urgency; applies labels and posts a confirmation comment.
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Compare TypeSafe Jev vs Codex/Claude Code for inbox triage — tokens, latency, and label agreement.
Early evaluation of TypeSafe's Jev on clinic call triage: 98.6% accurate when confident, 116k decisions per dollar
Ticket-Routing im Kundenservice mit dem Entscheidungsmodell Jev von typesafe.ai
Jev (TypeSafe) typed prefilter skill: two-phase inbox triage with confidence gating + pre-send guard
Triage French public procurement notices for a company capability profile.
No project description available.
Jev-powered Python pipeline for filtering cold outreach leads, detecting buying intent, selecting personalization angles, and exporting qualified contacts to campaign platforms.
Prior-authorization triage using TypeSafe AI's Jev (System-1 model) — payer-side utilization management, synthetic PHI-free data, audit-logged decisions.