Small decisions. Interesting possibilities.Submit contentSubmit

How it uses Jev

jev-code exposes Jev judgments to Claude Code, Codex, Pi, OpenCode, and a shell CLI through five tools. An agent can classify many evidence items into supplied classes, check a yes/no claim, score or rank candidates, or ask mixed typed questions. The package batches items into one System One request and returns probabilities and threshold-derived decisions for the agent to use.

What Jev decides

Repository-documented raw Jev requestExample answers · not a recorded Jev response · Source ↗
Question 1 · department
YOUR APP
INSTRUCTION

Which team should handle the message?

STATE

Example state.message reports API errors and failed orders. The repository shows a direct System One request with department, urgency and frustration questions over this shared state.

JEV · CHOICE
  1. billing
  2. technical
  3. sales
Question 2 · is urgent
YOUR APP
INSTRUCTION

Does the message convey urgency or time pressure?

STATE

Example state.message reports API errors and failed orders. The repository shows a direct System One request with department, urgency and frustration questions over this shared state.

JEV · NOUL
YesNo
Question 3 · frustration
YOUR APP
INSTRUCTION

How frustrated does the author appear?

STATE

Example state.message reports API errors and failed orders. The repository shows a direct System One request with department, urgency and frustration questions over this shared state.

JEV · SCORE
02

App workflow

  1. Install the agent bridge

    Export TYPESAFE_API_KEY and run the setup command for the desired coding-agent harness; setup installs the skill and registers the MCP or native tools.

  2. Identify a judgment task

    The agent uses the jev skill when a task involves classification, a yes/no check, scoring, ranking, or another typed judgment.

  3. Send evidence and criteria

    The agent invokes the matching tool with evidence and its own question or allowed labels; item batches are sent in one request.

  4. Act on the structured result

    The tool returns labels, probabilities, confidence, and auto-or-review decisions for the agent to apply or verify.

Why it is interesting

It packages TypeSafe's decision API as a cross-harness tool and skill, so an agent can make typed judgments over evidence and then branch on confidence without relying on generated prose for the classification itself.