ai-decision-making

Fast local AI decisions inside your application. A shared library and C API built on laya.cpp that runs the Laya typed-decision model in-process: no server, no Python. Windows, Linux and macOS, x64 and ARM64, CPU or GPU. An open-source alternative to Jev

Agentic AI refers to AI systems capable of autonomous decision-making, planning, and executing tasks based on goals—acting like intelligent agents. These systems combine LLMs with tools, memory, and feedback loops to complete complex workflows with minimal human input.

Fast local AI decisions in Delphi and Free Pascal. A binding for LibLayaX that runs the Laya typed-decision model in-process: no server, no Python. One unit, Laya.pas, with a TLayaAgent class. Windows, Linux and macOS, CPU or GPU, 64-bit. An open-source alternative to Jev

Fast local AI decisions in Lua. A binding for LibLayaX that runs the Laya typed-decision model in-process: no server, no Python. Answers as JSON text or Lua tables. Lua 5.1 to 5.4, on Windows, Linux and macOS. An open-source alternative to Jev

A lightweight expert-system framework for modeling and testing medical diagnostic rules, with multiple approaches.

EthosGPT is an open-source framework that maps how Large Language Models align with diverse human values, promoting cultural and ethical diversity in AI-driven decision-making.

Fast local AI decisions in Rust. A binding for LibLayaX that runs the Laya typed-decision model in-process: no server, no Python. A safe Agent type that is Send + Sync, with no dependencies. Windows, Linux and macOS, x64 and ARM64, CPU or GPU. An open-source alternative to Jev

Structured multi-persona AI decision council skill — one defensible recommendation from independent expert personas, adversarial review, and evidence-weighted synthesis

Interactive educational site illustrating the 3C Framework for Human + AI Decision Collaboration.

Use AI to compare small-event plans, confirm responsibilities and revise the details when circumstances change. Interactive course by AILesson.

Turn your available time and priorities into a weekly plan you can check and revise with AI. Interactive course by AILesson.

Use AI to compare workshop records and prepare a checked priority recommendation for a scheduling discussion. Interactive course by AILesson.

Agent Utility-based avec fonction d'utilité formelle U = Somme(w × f(x)), extraction LLM Gemini, graphe NetworkX, cache Redis, persistance PostgreSQL. FastAPI, Docker Compose.

Enterprise-ready Smart Irrigation AI Backend. Features a Dockerized PostgreSQL database, relational data modeling for multi-crop management, and an OpenAI decision engine with resilient fallback mechanisms.

花掌柜 FlowerOps AI：面向鲜切花批发与花店的可解释 AI 经营决策系统，将业务异常诊断转化为受约束、有证据且可追责的自动化采购与经营动作

This system models adaptive reflection across multiple cognitive layers, enabling agents to restructure their reasoning through a meta-level feedback process. It enhances self-regulation and decision robustness in dynamic environments. 本システムは、複数の認知層にわたる適応的反射をモデル化し、エージェントがメタレベルのフィードバックを通じて推論を再構築できるようにします。これにより、動的環境下での自己調整力と意思決定の堅牢性が向上します。

A logic-gated risk engine inspired by Societies of Thought and Schema-Guided Reasoning (SGR). Uses a single LLM to perform structured internal analysis, apply hard safety and precedent constraints, and produce deterministic verdicts with clear user-facing answers for high-stakes decisions.

Convene a Claude Conclave: a Constitutional Tournament of sequestered agents that arbitrates hard, open-ended engineering decisions and grounds the verdict in executed verification — not confident prose. A Claude Code skill.

Research one real decision with AI: define the question, find and verify sources, preserve uncertainty, and produce a brief another person can audit. Interactive course by AILesson.

Turn mixed product feedback, metrics, and team claims into an evidence-bounded recommendation that a real decision owner can review. Interactive course by AILesson.