RECONSTRUCTING GAME DEVELOPMENT PARADIGMS WITH
NATURAL LANGUAGE
Multi-Agent Collaborative System | Input Instructions → Generate Assets → Output Playable Prototype
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Game Workshop
Semantic Generation Hub
Input natural language instructions to generate 2D/3D art asset packages that can be directly imported into Unity/Unreal, multi-agent collaborative game production workshop, AI-driven workflow from language description to runnable prototype.
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Agent Engine
Multi-Agent Matrix
Based on generating asset characteristics to build core loops, gameplay logic automatic generation framework and intelligent testing sandbox.
Ecological Synergy Network
Verify multi-agent collaboration protocol (semantic parsing → asset generation → engine adaptation), compatible with generative networks such as FLUX.
Intelligent Central Architecture
Semantic Cognition Layer

Analyze artistic styles, gameplay mechanics, and narrative elements in natural language, and generate structured development blueprints.

Collaborative Scheduling Layer

Dynamically decompose tasks and allocate them to dedicated agents, intelligently avoiding resource conflicts and logical contradictions.

Industrial Execution Layer

Convert generated content into engine prefabs, ensuring end-to-end stability through anomaly self-healing mechanisms.

Agent Virtual human interaction
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AI virtual human
Agent Interaction Hub
Through real-time interpretation of requirements via virtual assistants, provide strategic suggestions such as “increasing scene detail density” and “optimizing character movement fluidity”.
Intelligent NPC Prototype Library
Based on generated asset characteristics, automatically create basic behavior trees and emotional interaction rules.
Scenario-based Creative Sandbox
Preset generation templates for scenes such as tavern/space station/castle, supporting automatic insertion of environmental narrative elements.