This article details the creation of an AI-powered portfolio analyst designed to maintain continuous memory of financial data. It employs a two-phase Large Language Model (LLM) orchestration pattern, coupled with conversation memory and parallel data processing, to transform a production Investment Book of Record (IBOR) into a more intelligent and responsive system. The goal is to build an analyst that can recall past interactions and data points, enhancing its utility in financial analysis. AI
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IMPACT Demonstrates a novel application of LLM orchestration for persistent memory in financial analysis tools.
RANK_REASON The article describes a specific application of AI for financial analysis, detailing a technical approach to building a specialized tool.
