Tae Hu Kim | Independent Prompt Engineer & Transparency Architect
EXceedZero shares the planning process of policy information collection prompts using AI and the construction process of a system (Glass-Box Intelligence) that filters and verifies collected information, supporting companies in strengthening their AI utilization capabilities.
In order to gain expertise as a full-time investor in the past, I enrolled in an economics department at a late age, and in addition to school studies, I analyzed nearly 300 investment books in the library and built practical expertise in macroeconomics.
Based on this expertise, for 50 months, I verified hundreds of strategies, managed risks, and traded in overseas futures markets including S&P 500, crude oil, and U.S. Treasury bonds.
Later, in line with the development of AI technology, I began to use AI in earnest while promoting the development of automated trading and profit verification programs to automate the information collection and trading that I had been managing manually.
First, as an overseas futures trader, I transferred the professional knowledge accumulated through deep observation of international political trends to AI, and as the automation of data collection and verification succeeded accordingly, it became possible to grasp international political trends using AI.
I was not satisfied here, and decided to use AI for detailed policy information collection as well, with the goal of expanding investment items.