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typesafe-playground

kavehmz/typesafe-playground

Interactive experiments with TypeSafe Jev for routing and driving decisions.

Game & Simulation44%Runner-up: Agent Decisions

What it is

Small interactive demos for developers to see how TypeSafe Jev makes decisions: routing a support message and steering a car in a 3D world with visible inputs and judgments.

How it uses Jev

In demo01, Jev makes six independent judgments on a support message: owning team, human request, refund request, urgency, frustration, and reproduction steps. In demo02, Jev chooses lane and target speed for a car based on structured simulated sensor observations. Results are combined by ordinary code into routing previews or driving behavior.

Primitives:choicescore

Technique worth stealing

Make model inputs, judgments, and resulting behavior visible, including hesitation and mistakes.

Try it

Set TYPESAFE_API_KEY in .env, then run docker compose -f demo01/compose.yaml up -d --build and open localhost:3001.

View on GitHub

judged by Jevjev-1.13.0

Evidence

Each line is one question put to Jev about the README. ≥ 0.60 reads as yes, ≤ 0.40 as no; in between Jev is not making a call.

  • Jev-centricyes0.91
  • Shows a System One patternunclear0.40
  • Handles uncertaintyno0.06
  • Measuredno0.05
  • Runnableno0.31
  • Worth recommendingunclear0.44
  • Model replicano0.07
  • Problem scopescore on a 0–2 scale0.11
  • About Jevyes0.98

Signals by Jev jev-1.13.0, card written by DeepSeek V4.1 Flash from the README on 20 Sept 2026.