Digital tasks vary widely and require individual customization, yet many existing systems force users into rigid, one-size-fits-all approaches. This inflexibility often results in wasted time and effort as users work around limitations or adapt workflows manually.
Creating separate AI platforms for every task is both costly and labor-intensive, making scalability and maintenance challenging.