devwithjev
— reading now— views
Submit a build

Jev Plays Candy Crush

The SamurAI uses Jev with Astra to play Candy Crush. Jev chooses the best move in ~242ms.

View on X time~242ms
The SamurAI@samuraipreneur𝕏
jev + astra crushing candy crush. > python capture > opencv reads the board: 11ms > valid moves calculated: 0.1ms > jev chooses best move: ~242ms > python drags: 180ms full move: 433ms (without game animations but includes mouse drag). https://t.co/KzzLZc3NRB
Sep 19, 2026X postsView on X
Python captures the board, and OpenCV reads it in 11ms; valid moves are calculated in 0.1ms. The full move takes 433ms without game animations, including the mouse drag.

Also filed under Games & real time

  • Benchmarks Jev on Pokémon Red

    The project benchmarks Jev, TypeSafe’s fast decision model, against Jev paired with a GPT-6 Sol planner for playing Pokémon Red.

  • Plain-English Cellular Ecosystem Simulator

    LifePot is a cellular automaton-inspired ecosystem that users describe in plain English. Jev turns those inputs into species, feeding relationships, reproduction strategies, and environmental conditions.

  • Mapping Children's Behavioral Intent in Games

    Mores Research used Jev to map children’s behavioral intent in games and examine how it correlates with real-world behavior. It reports mapping intents across 45+ real sessions involving 20 child users over a long horizon.

  • StarCraft Agent for Fast Tactical Decisions

    Jev_Star is a StarCraft agent experiment that uses Jev for fast tactical decisions.