Jev ecosystem projects — page 34

Batched natural-language judgments for SQLite, powered by TypeSafe Jev

SQLite extension that calls TypeSafe Jev (or tensai serve) from SQL

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

⚡ Ultra-fast, low-cost intelligent task classifier and 3-tier routing engine powered by TypeSafe Jev (System One)

A VGI worker exposing TypeSafe System One questions (choice, noul, score) to DuckDB/SQL as LATERAL-joinable table functions

Zero-memory System-1 decision engine & TypeSafe Jev wire-compatible runtime powered by Mandelbrot wave dynamics (The Zero-VRAM Gauntlet).

DSH bundle that registers jev_ask for TypeSafe Jev noul, choice, and score answers.

CLI for TypeSafe AI's Jev evaluation model — typed questions in, structured JSON answers out

Jev (TypeSafe) exploratory thread: claim audit, live demos, and runnable code

Not every coding task needs your best model. Experimental Jev-powered model routing for Claude Code — V3 prototype runs today, V4 routes at the task boundary.

Agent Skill: send closed coding-agent judgments to TypeSafe Jev

Semantic MCP firewall powered by Jev — screens every tool call, tool result, and tool description with calibrated System One verification. 94% block recall, 0 false positives, ~$0.00002/check.

Minimal agent loop where Jev directs control flow and a LangChain chat model writes argument values and the final response.

ATS-friendly resume review powered by Jev (TypeSafe System One). The frontend extracts resume text the way a parser would, then a Cloudflare Worker runs typed JEV questions and composes a JevScore.

Semantic schemas over TypeSafe's Jev — validate the state locally, then project typed answers.

Unofficial Laravel integration for TypeSafe Jev AI with typed responses, async requests, scoped dependency injection, and testing fakes.

A Stop hook that stops your coding agent from stopping too early. Plain-language rules, judged by jev.

A pi extension that exposes TypeSafe (Jev, System One) judgments as five pi tools, so a model can make narrow semantic judgments while your code and your users keep control of thresholds, weights, and actions.

Pydantic AI capabilities made stronger with Jev: small runnable demos, one file each

Reward-hack radar for coding agents: structural denies + TypeSafe Jev System One sidecar for Claude Code & Cursor hooks

A living-world RPG whose NPCs are decided by TypeSafe's Jev judge model; code owns rules, numbers and state.

We ask Jev, TypeSafe AI's System One model, whether AI should kill us all. Every ten minutes. Using the actual headlines.

Shift every LLM call to the cheapest model that can handle it. Routing decided by TypeSafe Jev in ~180 ms. No training data. Policy in plain YAML. TypeScript and Python.