Browser Use + Jev
Gregor Zunic's flight-search demo with a dynamic DOM action space.
A FIELD GUIDE TO JEV / VOL. 01
The best of Jev. Real projects, practical guides and ideas from across the internet.
Gregor Zunic's flight-search demo with a dynamic DOM action space.
01 / A small decision engine. A whole new way to build.
1,195 resources / The collection
SOURCE-LINKED, ALWAYS.AI-assisted summaries and translations. Check original sources for context and performance claims.
Official agent skill for Claude Code, Codex, and compatible agents: primitives, patterns, and how to structure evaluations.
Official drop-in TypeSafeClient replacement backed by OpenAI, Anthropic, and compatible LLM APIs, for comparing Jev against chat models.
Official TypeScript/JavaScript client with inferred answer types. npm install @typesafe-ai/sdk.
Company homepage, waitlist, and product overview.
Open-source AI-driven pointer companion for Mac, using Jev or Gemini Live to control the cursor with local processing.
Dual-arm robot controlled by Jev for decision-making, with inverse kinematics and physics handled by code for efficient operation.
Command-line tool for TypeSafe AI's Jev model. Ask yes/no, multiple-choice and rubric questions about any text and get calibrated probabilities back. Answers become exit codes for shells and CI, JSON for scripts, and MCP tools for AI agents.
Official TypeSafe reference: Intent routing.
const answer = await client.systemOne({
state, questions
});
// intelligence, in your code.A curated, source-backed list of projects built with Jev, TypeSafe AI's System One model for typed decisions.
A Jev-based query planner optimized Postgres performance, achieving a 12% speed improvement on join order benchmarks through tuning.
An idiomatic, type-safe Elixir port of the official TypeScript AI SDK (ai / ai-sdk) providing unified LLM integrations, streaming text and structured outputs, tool calling, and agentic workflows. Jev is their current flagship model and is the first System One model.
Typed-decision benchmark from PadFlow (land development SaaS): schemas, anonymized labeled rows, and a runner for confidence-calibrated models like TypeSafe Jev.
SuperX integrated with Jev enables rapid post scoring, analyzing 61 questions per post in under a second with high viral potential prediction accuracy.
Jev improves security pipeline efficiency, offering 5x cost reduction and faster processing while maintaining higher accuracy than smaller models.
Fast semantic code search & diff sanity auditor for AI coding assistants (Antigravity, Cursor, Claude Code) powered by TypeSafe System One.
Go SDK for the TypeSafe AI API — typed questions in, probability distributions out.
Computer use for about $0.0002 a step: OCR the screen, classify the next action with TypeSafe, click. macOS.
Guardrail + model router for LLM gateways on TypeSafe's Jev (System One model), with an independent accuracy/calibration/latency evaluation. Stdlib Python.
List of projects that use typesafe's jev.
Benchmarks Jev against other evaluation models in games with explicit states, legal actions, and measurable outcomes.
Hunch is a GitHub tool for code review that applies rules written in plain English to analyze and improve code quality.
Sub-second Git pre-commit & pre-push semantic reflex gate powered by TypeSafe AI Jev.
Dasheng is a GitHub tool combining speech recognition with Jev for real-time word-by-word transcription and marking of spoken content.
Jev attempted to draw on a pixel canvas but failed to produce recognizable output, indicating limitations in its generative capabilities.