AI Decision Maker (GLiNER 2.5)  is a native s&box proof-of-concept that lets you test structured AI decision making directly in-engine. 

Enter a context, task/question, and a set of candidates, then let GLiNER 2.5 Small choose the best option and rank the rest. The project runs natively inside s&box, with a GPU-accelerated backend for fast interactive inference and a scalar CPU backend retained as a reference path. 

Features
 
  •  Native GLiNER 2.5 Small integration in s&box 
  • GPU backend for fast decision inference 
  • CPU backend for validation and comparison 
  •  Clean interactive decision workbench UI
  •  Candidate ranking, scores, and diagnostics 
  •  Designed for testing AI decision-making workflows in games and tools 

What it’s for
This project is a technical demo / workbench, not a full game. It is designed for:
  •  experimenting with AI-driven decision selection 
  •  testing structured prompts and candidate options 
  •  exploring future NPC and gameplay AI workflows in s&box 

Example uses
  •  choosing the next action for an NPC 
  •  ranking tactical options 
  •  testing survival / combat / strategy decisions 
  •  prototyping AI utility-style systems with language models 

This build is intended as a showcase of native in-engine AI inference and as a foundation for future gameplay experiments.