Jev ecosystem projects — page 131

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

Route mid-run Pi prompts with TypeSafe Jev

Adaptive reasoning-effort router extension for Pi using TypeSafe Jev

One arcade: Heist, Chess, and Minesweeper with TypeSafe Jev through Vercel AI Gateway.

R³∞ strato riflesso System One — candidato CA. Decide, non scrive. Non è canone.

Ultra-fast, sub-100ms API & webhook guardrail and triage gateway powered by TypeSafe AI System One (Jev). Parallel 7-dimension speculative evaluation, deterministic policy router, zero-dependency SQLite audit trail, and automated outbound dispatch.

No project description available.

A daily survival writing game judged by Jev.

An ant colony where every ant asks Game: TypeSafe Jev what to do next — you are the queen, and your only control is a text field.

No project description available.

S1Rank: Can a System-One decision model (TypeSafe Jev) rerank? Benchmark, raw responses, and paper.

Give Claude Code a second opinion it can ask for in half a second. Reusable "battery" checks plus optional risk and finish gates, powered by TypeSafe's Jev.

Open self-hosted System One decision API (Jev wire-compatible) + agent skill — 87.9% JevBench, beats Jev on accuracy and score

Jev-powered model router for AI coding agents (omp + Claude Code): small jobs go to smaller, cheaper models.

Rank your agent skills against a request so your agent can suggest which to invoke; powered by Jev

A Chrome extension that pauses you before clicks you might regret, scored by Jev.

Free, bring-your-own-key Chrome extension that estimates whether text was written by AI, using TypeSafe's Jev decision model. No server.

Chrome extension that subtly marks obviously AI-written text on web pages, scored by TypeSafe Jev

Snake played by TypeSafe's Jev decision model, coached by Claude

Ask typed questions in TypeSafe Jev format (noul, choice, score) and run them on Jev or any LLM - probabilities, agreement and type violations side by side.

A small Spring Boot ai app that picks the right OpenAI model for each request, depending upon the toughness of the question..

Strands agents that make small local LLMs (Qwen3 0.6B, MiniCPM5 2B, Qwen3.5 4B) answer like Jev, a System 1 model: typed yes/no, choice and score answers with probabilities. Benchmarked against Jev on the jevals suite, via logprob readout and written-out JSON probabilities.

Research: what a fast, cheap classification model (TypeSafe's Jev) is good for inside a real decision system, tested on Polymarket prediction markets with Claude for research. Shadow-first; findings in docs/FINDINGS.md. Not advice.

Type-safe Swift client package (TypeSafe library)