# 2. Problem Definition

With the advancement of generative AI, content production itself is no longer a major barrier. However, the challenges faced by companies and creators in the real market remain unresolved. The core issue is not language, but the understanding of culture and trends. In particular, the Korean market is highly sensitive to changes in memes, trends, and communication styles, with shifts happening at a rapid pace. As a result, global companies entering Korea often rely heavily on local teams or agencies, while domestic companies and creators must continuously invest significant resources into trend analysis and content planning.

Existing generative AI tools are capable of producing content, but they struggle to determine which formats and emotional tones resonate at a given moment. They also lack the ability to accumulate these insights into reusable structures that can be applied repeatedly. As a result, the contributions of those who identify trends early are quickly lost, and trends are merely consumed rather than systematically captured and reused.

Solving this problem requires more than a tool that simply generates content. It requires a production infrastructure that can structure trends and enable them to spread quickly. MAYA was created to address this structural gap.


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