Evidence record 19045 · automatically gathered

IF:CARGO: LLM-Based Semantic Compilation for Al-Native Rule Programming Games

This case study presents IF: CARGO, an experimental puzzle game that uses a large language model as a semantic compiler rather than an autonomous game-playing agent. Players author IF/THEN rules in natural language, which the model translates into a constrained command schema for deterministic validation and execution by the game engine. This architecture creates a playable loop of expression, execution, observation, and revision, framing AI interaction as semantic debugging. A mixed-methods pla

Record details

Published: 12 August 2026
Source: arXiv cs.HC
Category: Research
Topics: Agents & autonomy
Retrieved: 13 August 2026

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ethics.ai (12 August 2026), “IF:CARGO: LLM-Based Semantic Compilation for Al-Native Rule Programming Games,” evidence record 19045, https://ethics.ai/record/19045 (originally published by arXiv cs.HC).

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