Alchemist: Accelerating Decision Optimization with Specialized Autonomous Agents

What this post added

Introduced Alchemist, an agentic AI system for decision optimization built upon the existing Autonomous Coding Agents framework. Alchemist comprises four specialized agents: Decision Process Extractor, Simulator Creator, Solver Recommender, and Optimization Formulator. These agents leverage LLMs and autonomous coding capabilities to enable subject matter experts to define, simulate, and optimize complex decision systems with reduced reliance on traditional development cycles. The post details the architecture and provides a case study on optimizing nursing staff schedules, demonstrating the agents' ability to handle complex constraints and uncertainties.