questions: { severity: score, needs_tool: boolean, }
JevRouter
A lightweight Jev-powered router for models, tools, and subagents

Every project here really calls Jev in its source · refreshed daily
questions: { severity: score, needs_tool: boolean, }
A lightweight Jev-powered router for models, tools, and subagents
questions: { destructive: boolean, exfiltration: boolean, beyond_scope: boolean, // +1 }
TypeSafe Jev as a decision layer for the Pi coding agent: a measured tool-call gate plus jev_ask for typed, calibrated answers
questions: { stale: choice, }
Bounded TypeSafe Jev workflows for coding agents.
questions: { relevant: boolean, }
Classify first. Read selectively. A portable agent plugin and MCP tool for batch text classification.
questions: { intent: choice, reuse_cache: boolean, needs_subagent: boolean, // +2 }
Connect TypeSafe Jev to Grok Bot as a cheap decision layer - usage gates, skill template, examples
questions: { refund: boolean, team: choice, }
ACP and MCP adapter that bridges TypeSafe Jev with any LLM — computer use and typed decisions alongside Codex, Claude, Grok, and OpenCode.
questions: { ok: boolean, }
MCP server that puts TypeSafe Jev on the coding loop in Cursor, Codex, and any MCP client
questions: { is_billing: boolean, category: choice, }
Semantic tool routing and typed System One decisions for the Pi coding agent using TypeSafe Jev
questions: { directed: boolean, kind: choice, }
Auto mode for every coding agent, built on Jev: risk-scores every tool call with session context (deny / ask / allow), flags prompt injection in results, checks skills and plugins. Claude Code, Codex, Copilot, Gemini, Cursor, pi, OpenCode, ACP.
questions: { is_urgent: boolean, department: choice, frustration: score, }
Jev decision layer for agents: MCP server, embeddable DecisionModel library, and an escalate-only Claude Code plugin (TypeSafe AI's Jev)
questions: { skill: choice, }
Jev-assisted file retrieval and request caching for faster Pi workflows
questions: { claims_done: boolean, claims_verified: boolean, verification_applies: boolean, // +1 }
Claude Code Stop hook that blocks an unverified done: reads the transcript for evidence, asks Jev once, fails open on everything else
questions: { intent: boolean, }
TypeSafe Jev as the pi coding agent's quiet decision layer
questions: { is_bug: boolean, team: choice, urgency: score, }
Claude Code / Codex / pi plugin that hands agent steps needing no text output to Jev (TypeSafe's judgment model) — measured p50 ~230 ms and ~$0.02 per 1,000 judgments, with typed escalation back to the LLM
questions: { intent: choice, isUrgent: boolean, }
Flue agent routing with TypeSafe Jev through Cloudflare AI Gateway
questions: { context_needed: choice, }
Pi coding-agent extension: TypeSafe Jev checks for tool calls, tool outputs and replies (prompt injection, approvals, secret scrubbing, task pinning)
questions: { q1: boolean, }
A small, extensible decision-to-action harness for TypeSafe Jev
questions: { connected: boolean, }
Jev DSH 决策引擎|面向 Agent Harness 的结构化决策插件。原生支持 DeepSeek Harness,通过 iPolloWork 支持 OpenCode、Codex Harness。
questions: { is_impossible: boolean, }
Jev-powered decision layer for DeepSeek Harness
questions: { is_urgent: boolean, frustration: score, }
Claude Code plugin that scores review findings, debug hypotheses and design options with TypeSafe's Jev — calibrated probabilities instead of one more opinion.
questions: { is_urgent: boolean, }
Agent-facing TypeSafe Jev (System One) for the DSH Web GUI. The model itself
questions: { needs_skill: boolean, }
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.
questions: { category: choice, reached_assertion: boolean, missing_context: boolean, }
Open-source Codex plugin for TypeSafe Jev decision consultation, failure diagnosis, and evidence-based completion review
questions: { complexity: score, needsPlanning: boolean, }
Throwaway Jev demo: route coding tasks to Grok Build or Codex Astra
questions: { destructive: boolean, exfiltration: boolean, privilege: boolean, // +4 }
Open auto mode for AI agents — a calibrated tool-call firewall powered by TypeSafe Jev. Ships as a Claude Code hook
questions: { category: choice, bug_severity: score, has_repro_steps: boolean, // +2 }
MCP server and agent skill for the TypeSafe AI System One API (Jev): decompose a judgment into Choice / Score / Noul questions, lint them, measure on labelled data, and put calibrated thresholds in code
questions: { relevant: boolean, category: choice, }
PiJev: a terminal coding agent with Jev in the loop — Jev ranks the repository's files before the first call, picks skills and triages failures; your coding model writes the code. Built on Pi.
questions: { ping: boolean, }
Yunus Pi is a heavily customized harness experience built on top of a forked Pi harness (pi.dev). It uses patches, extensions, skills, and custom provider configs to customize the overall experience. It uses advanced machine learning, Jev, Cactus Needle 3 and similar technologies.
questions: { action: choice, asset: choice, condition_operator: choice, }
Reference prototype exploring agentic commerce: TypeSafe/Jev → Axiom → Argent → Silverscript on Kaspa.
questions: { severity: score, area: choice, }
An eval-first MCP server for TypeSafe's Jev, a System One model that returns typed judgments (noul, choice, score) with probabilities instead of generated text.
questions: { destructive: boolean, secrets: boolean, }
Jev-powered Judgment layer for Claude Code. Stops paying reasoning prices for if-statements: a PreToolUse hook scores every tool call against a YAML policy you own — allow / deny in ~100 ms, no LLM in the loop. TypeSafe Jev now, local models next. Dry-run by default, calibration table published.
questions: { is_exquisite_and_dynamic: boolean, animation_verdict: choice, primary_deficiency: choice, }
Real-time quality gate and Art Director Warden for Claude Code powered by TypeSafe Jev 1.13 non-autoregressive decision model
questions: { needs_rewrite: boolean, visual: choice, }
Pi extension: clearer replies via Jev review + optional rewrite/visuals
questions: { is_urgent: boolean, department: choice, }
Opencode plugin using Jev (system one model) as part of software development process. Not affiliated with Opencode team.
questions: { alive: boolean, }
Jev, TypeSafe's System One classifier, as a tool inside Claude Code, Codex, Pi, and OpenCode: typed classify, check, score, rank, and ask, plus one-command setup.
questions: { outOfScope: boolean, contradictsPrevious: boolean, shouldFlag: boolean, }
Every tool call your agent makes, checked before it runs. A Claude Code plugin that uses TypeSafe AI's Jev to verify each pending tool call against the session plan, then allows it, asks you, or blocks it. Proof of concept
questions: { scope_alignment: score, touches_state: boolean, breaks_contracts: boolean, // +2 }
Fast semantic code search & diff sanity auditor for AI coding assistants (Antigravity, Cursor, Claude Code) powered by TypeSafe System One.
questions: { edit: choice, contract: choice, caller: choice, // +2 }
Semantic code review with Jev, plain-English rules and Agent Skills.
questions: { needs_vision: boolean, needs_tools: boolean, }
Pick the best AI model and reasoning effort for any task in ~1s. Plugin for Claude Code, Claude Desktop and Codex, powered by TypeSafe's Jev decision model and live OpenRouter pricing. Balance intelligence, speed and cost, or choose your priority.
questions: { disposition: choice, risk: score, data_exfil_risk: boolean, // +2 }
Agent tool/MCP call gate — allow / ask_human / deny via TypeSafe Jev
questions: { relevance: choice, }
Codex code-search plugin using Jev relevance filtering with auditable token metrics