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Hiroyuki Ota (ほた) on X: Jev にぷよぷよをさせてみた。
@hota911@hota911listed 49m agoreviewed by JevJev にぷよぷよをさせてみた。 - 実行エンジンは https://github.com/puyoai/puyoai 。ゲームはリアルタイムで進行 - 盤面とそれぞれのポジションにおいたあとの結果を与え、①今どのフェーズか ②フェーズごとに、戦略からどの結果がベストか の1+3つの質問をして、選択肢を選ぶ 画像は Random に勝つ様子。決断が早いぶん Random も強い。 最初は盤面だけ渡して、単にどこにどの向きで落とすか判断させていたが弱すぎたので、配置後の結果を選ばせるようにしたり、戦略を渡したり、判断を多段化した結果なんとか3連鎖もでき Random に勝てるようになった。 ❤️ 4 likes on X
- Author
- @hota911
- Use case
- Games & Real Time
- Added
- 2026-09-25
All figures come from the author. Check the source before you quote them.
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Jev guides for this use case
- Jev in the agent loop: routing, guardrails, contextRouting, tool-call guardrails and context compaction — the three places a decision model earns its keep inside an agent.
- Jev vs LLM: a decision model is not a smaller text modelWhy a decision model and a text model aren't substitutes, where the boundary sits, and the cost math.
- Is Jev reliable? The honest limitationsWhat the no-hallucination claim really covers, where the accuracy ceiling sits, and the failure mode we hit ourselves.
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