Claude Code mod that routes decisions to TypeSafe's Jev model: ranks installed skills per prompt, and answers the agent's own this-or-that questions when confident.
Does answering `state.user_request` call for following a written procedure,
Run it on your own text
The code
import { experimental_evaluate as evaluate } from 'ai';
const { answers } = await evaluate({
model: 'typesafe-ai/jev',
state,
questions: {
needs_skill: { type: 'boolean', instructions: 'Does answering `state.user_request` call for following a written procedure,' },
},
});
Other projects in this category
JevRouter ▶ — A lightweight Jev-powered router for models, tools, and subagents
pi-jev ▶ — TypeSafe Jev as a decision layer for the Pi coding agent: a measured tool-call gate plus jev_ask for typed, calibrated answers
stanley-code ▶ — Bounded TypeSafe Jev workflows for coding agents.
jev-sift ▶ — Classify first. Read selectively. A portable agent plugin and MCP tool for batch text classification.
grok-bot-jev ▶ — Connect TypeSafe Jev to Grok Bot as a cheap decision layer - usage gates, skill template, examples
Jevbridge ▶ — ACP and MCP adapter that bridges TypeSafe Jev with any LLM — computer use and typed decisions alongside Codex, Claude, Grok, and OpenCode.
jev-mcp ▶ — MCP server that puts TypeSafe Jev on the coding loop in Cursor, Codex, and any MCP client
pi-jev ▶ — Semantic tool routing and typed System One decisions for the Pi coding agent using TypeSafe Jev