Team Monolith and Smart Talent Development Institute announced on 2026-08-01 that the 16-session data AI course of the 2026 AI Companion Project, organized by the Korea Foundation for the Advancement of Science and Creativity, is in its final phase. ^[1] An AI file analysis agent is a flexible tool that accepts a file, accesses it, reads relevant content, understands natural language questions, and produces an answer without manual searching. ^[2] High school students analyzed diabetes data, built Python-based regression and classification models, and developed a web app for disease risk guidance and a prevention advice game. ^[3] Middle school students in the course measured school temperature and humidity with micro:bit sensors, used Entry-based AI for learning, and created webpages proposing solutions to urban heat island effects. ^[4] The data AI course curriculum is structured in six stages from sustainable development goal topic selection to data collection, preprocessing, visualization, AI learning, and final output production. ^[5] Developers are advised to store OpenAI API keys as environment variables rather than hardcoding them to prevent accidental exposure if the project is uploaded to platforms like GitHub. ^[6] The architecture distinguishes between the AI model, which handles language understanding, and the Python program, which manages the workflow and file access. ^[7] The tutorial demonstrates building an agent using Python and the OpenAI API, specifically utilizing the Responses API to send uploaded files as inputs for analysis. ^[8]