The Next Game Engine Won't Have a Manual - Arturo Nunez, Nereu

AI Engineer19m 33s
Arturo Nunez demonstrating an AI game engine that builds a playable scene from natural language
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    Arturo Nunez demonstrates a browser based game engine in which a user asks an assistant to add characters, buildings, rain, animation, movement, and a following camera. The creator works in the language of game design while the engine handles assets and implementation detailsWorkflow automation uses software or AI to complete a connected sequence of routine steps with less manual effort..

    Arturo Nunez argues that conventional engines expose repeated boilerplate and specialist concepts that make small game projects difficult. Nereu instead describes assets with reusable tags, then lets systems query those tags to apply movement, physics, rendering, and game rules across many scenes.

    Arturo Nunez explains that the assistant receives scene context, game intent, available tools, and relevant nearby assets. A level of detail inspired context strategy limits what reaches the language modelContext engineering designs how relevant instructions, evidence, state and tool information are assembled for a model's task., while vision models help tag thousands of assets. His goal is to help people learn game design by creating and iterating, rather than asking AI to produce complete games in one step.

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    Arturo Nunez demonstrating an AI game engine that builds a playable scene from natural language With WWW.ARTIFICIAL-INTELLIGENCE.VIDEO, 18 August 2026 and duration 19m 33s.

    Arturo Nunez demonstrates an AI native game engine that lets people build playable scenes by describing intent while reusable tag systems handle implementation details.