Game & Simulation

Use this category for decisions inside games, simulations, or interactive environments.

Submission format

- [Name](URL) - Industry: one-sentence description of the Jev use case.

Entries

typesafe-mario - Gaming: TypeSafe/Jev agent that plays Super Mario Bros. from structured emulator state, choosing each action from emulator-derived features.
jev-drone - Robotics simulation: camera-only autonomous drone in MuJoCo that puts a Jev judgment model in the control loop at 2.5 Hz.
tsai-sc - Gaming: drives original StarCraft shareware through keyboard and mouse with Jev action probabilities recorded per decision.
jev-plays-pokemon - Gaming: reads Pokémon Red game state as text, answers typed questions each turn, and lets deterministic code turn the answers into moves.
typesafe-jev-drone-demo - Simulation: Three.js drone simulator with a Python backend where Jev drives the navigation decisions.
typesafe-playground - Interactive playground: small Jev experiments that put the decision on screen, from routing a support message to steering a car in a 3D world.
PlayJev - Gaming: open 0.8B vision-language model that reads one 448 px game frame, returns a probability over the moves the game lists in a single forward pass with no generated text, and hands its low-confidence steps to a search program, across ten browser games.
jev-plays-pokemon-red - Gaming: Pokemon Red on PyBoy where deterministic code owns the route and arithmetic, Jev picks only at branches, and every battle turn's faint prediction is scored by Brier against RAM state.
jev-reflex-autonomy-lab - Drone autonomy: a multi-drone lab where Jev supplies the reflex decisions, with an optional slower strategy layer guiding them.
Soupbase - Gaming: uses Jev Choice judgments to answer lateral-thinking puzzle questions and assess proposed solutions, with application code requiring supported facts, a coherent explanation, and sufficient confidence before marking a puzzle solved.