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.