AI Coding Automates News Monitoring, Demonstrates Practical Efficiency Gains

A South Korean Communications Commission (KCC) official has developed a web application using AI coding to drastically improve the round-the-clock news monitoring work. Despite having no prior coding knowledge and a personal budget of only 30,000 won for AI services, he completed a project that would typically take over six months in a short period, achieving an estimated cost saving of over 40 million won in external service fees. This case demonstrates how AI can be leveraged to streamline administrative tasks without complex procedures or large budgets.

Government ministries often face difficulties in adopting AI due to the complex budget allocation and procurement processes. However, the official, Park Jong-hyun, completed a project that would have cost over 40 million won in external services and taken more than six months in a short period, using only a 30,000 won personal subscription to an AI service.

To automate the repetitive and time-constrained news monitoring tasks, Park chose Claude AI. Despite being an information and communication engineering major, he developed the program with detailed guidance from the AI, even without prior Python programming experience.

To overcome the limitations of the initial local PC execution method, he utilized idle office PCs as servers within the agency. To enhance external security, the application was converted into a web app accessed via Cloudflare, making it available from any PC or mobile device.

This web app, integrated with Naver News API, collects approximately 900 articles, which the AI then summarizes and automatically outputs in a report format. Tasks that previously took 30 minutes to an hour are now completed in under 5 minutes, maximizing work efficiency and even securing time for lunch breaks. Security measures such as masking server IPs have also been implemented.