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] Researchers introduced ExecRetrieval, a new benchmark designed to test the functional correctness of code-embedding retrieval systems. ^[2] 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. ^[3] 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. ^[4] 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. ^[5] 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. ^[6] The buggy distractors in the ExecRetrieval benchmark are generated by mechanical mutations that make a single targeted edit to the canonical implementation. ^[7] The canonical implementation scored below at least one of its four paired distractors in 67% to 78% of queries on the leading systems. ^[8] The top hosted system achieved an exec@1 score of only 0.331 on the ExecRetrieval benchmark. ^[9] 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. ^[10] The architecture distinguishes between the AI model, which handles language understanding, and the Python program, which manages the workflow and file access. ^[11] 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. ^[12]