Agent Tooling for Jev — page 22

Claude Code skill that uses Jev (TypeSafe System One) to route tasks to the best Claude model — Opus, Sonnet, Haiku, or Fable — by capability, cost, and latency.

Jev-supervised madmax conductor for pi: tiny slices, parallel pi-subagents workers in worktrees, TypeSafe Jev makes routing/review/QA/supervision decisions.

Configuration-driven, quality-first model and reasoning-effort routing for Pi using TypeSafe Jev

Semantic code and document search CLI — BM25 recall + TypeSafe Jev calibrated precision

Agent Skill that finds where TypeSafe Jev decision models would pay off in a codebase. Works in Claude Code, Codex, Cursor and other Agent Skills hosts.

Internet search and page reading for coding agents, with TypeSafe Jev ranking

claude code plugin that measures jev before trusting it: background verdicts, joined with the classifier's real denials, and a report

Skill do Claude Code: o Jev (TypeSafe via OpenRouter) escolhe o modelo e classifica pilhas; o Claude escreve.

Semantic skill routing for Pi, powered by Jev.

TypeSafe cookbook skill suggestion (Jev) as a stdio MCP server for Hermes: one Choice call ranks the roster + gates, a second reranks the top-3; suggests at most one skill.

Jev skill suggestion demo: rank and gate which agent skill to load for a request (TypeSafe Choice + Noul)

Ticket router built on TypeSafe's Jev, the companion code for a DataCamp tutorial. Six typed questions in one call, routing policy in plain Python.

Standalone TypeSafe Jev-based auto-routing for Agent Zero

Calibrated TypeSafe Jev confidence checks for every step of coding with Claude Code — brainstorm, research, write, test, verify, triage

Job-fit assessment with Jev (TypeSafe) and tailored one-page resumes, as agent skills and a Python/MCP tool

MCP server exposing the Laya System-1 decision engine (Jev) as agent tools

Local MCP completion checks and repeat-loop detection for AI agents. Jev BYOK, deterministic policies, and a free offline demo.

TypeSafe AI (Jev) driven, type-safe notification routing engine for Go.

MCP plugin to connect jev-like system one API (local hosted or typesafe jev) to codex and claude code for decision tasks like compaction, verification judgement, etc.

Jev (TypeSafe)-backed decision layer for Orca Lab: judges what agents are about to run, and stays out of the way otherwise.

better context compaction with TypeSafe Jev judging what to keep

tool result filter with TypeSafe Jev to keep main agent context smaller