Overview
The AI Investment Platform is designed to organize the large amount of information involved in researching investments. Specialized AI agents analyze companies, financial news and market data while the platform provides a central place to track and examine a portfolio.
Requirements
Financial information had to remain traceable and separated from generated analysis. The system needed to help users understand why information mattered instead of simply producing unsupported investment conclusions.
Implementation
I designed the platform around multiple specialized AI agents with distinct responsibilities, including market research, company analysis, portfolio monitoring and investment Q&A. These systems are connected through a unified dashboard.
My contribution
I designed the multi agent architecture and the main product workflow, including how research, portfolio data, market information and AI generated analysis are organized and presented to the user.
Technical decisions
The largest risk was treating AI generated analysis as fact. Financial information changes quickly, and incorrect or outdated information can completely change the interpretation of an investment.
What I learned
The dashboard separates source data from generated analysis so users can inspect the information behind a response.