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AI Decision Maker (GLiNER 2.5)

jeffskitchen.aidecisionmakergliner25

Native GPU-accelerated GLiNER 2.5 decision workbench for testing structured AI choices directly inside s&box.

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About

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.

AI Decision Maker (GLiNER 2.5) player count history

12h tracked · hourly averages

Media

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S&Box LLM Proof of Concept thumbnail
S&Box LLM Proof of Concept jeffskitchen.llm_poc

Proof of concept for running a real LLM entirely inside s&box using a custom C# GPT-Neo inference engine. No APIS, fully local

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