Tools & Integrations

Drop-in skill for Claude Code, Codex, and other agent environments that teaches the right way to structure states and questions.

Get an API key, manage models, and try the playground: three walkthrough lessons plus realistic use cases like resume screening and ticket routing.

Browse real systems built on Jev and the primitives they send. Copy a state and questions into the playground, or sign in to share your own.

AI Gateway's evaluation modality: call Jev as `typesafe-ai/jev` through the AI SDK's experimental_evaluate API, with structured answers instead of free-form text.

Model card for `typesafe-ai/jev`: evaluation type, $0.042 per 1M input tokens, zero output token charge, and a hosted playground.

Access Jev through OpenRouter's decisions endpoint, an alternative route to early access that still uses TypeSafe's question and answer shapes.

Run a Pydantic AI agent on Jev: each field of the output type becomes one question, the prompt is the state, and confidence comes back per field.

Use Jev as a Braintrust judge scorer, then inspect selected answers, confidence, and probabilities alongside the scorer answer. Includes tracing for your own calls.

An agent-first CLI for System One: ask, rank, extract, verify, screen, find, and decide from the shell, with an installable agent skill. Published on PyPI.

An MCP server that puts Jev in the coding loop for Cursor, Codex, and other MCP clients: coding-loop checks, ranking, verification, and review tools.

@jev.fn compiles a Python function definition (parameters, docstring, return annotation) into a state plus typed questions, then validates the answers back into Pydantic models.

A community playground with over a hundred use cases, games, and model challenges, with editable prompts and side-by-side comparisons.

Jev-backed auto mode for the Pi coding agent: semantically approves bash, write, and edit tool calls, and fails closed whenever a decision cannot be made.