The author details their two-month journey building an investment analysis bot that leverages Large Language Models (LLMs) to provide monthly portfolio recommendations. Initially seeking a market edge, they realized LLMs are better suited for information filtering and proposal generation rather than predicting market movements. The bot's development involved experimenting with various LLMs, including Gemini, Claude, and Opus, to address consistency issues and find the most effective tool for the task. AI
IMPACT Highlights the practical challenges and limitations of using LLMs for complex decision-making tasks like investment analysis.
RANK_REASON The item is a personal reflection on building a tool with LLMs, not a release or significant industry event.
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