Game designer advocates for AI agents that make player-attributed mistakes

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A game developer argues that AI agents in games should visibly fail and attribute errors to player decisions. The 'Mochi' demo shows an AI character that reacts when given poor commands or left without guidance. The key design challenge is making each mistake's cause, logic, and consequence clear to the player. This approach aims to create more engaging, story-generating interactions than those with perfectly obedient bots. The article was originally published on the developer's personal website.

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