The Columbia-trained AI researcher pivoted from English-teaching chatbots to placing 40,000 workers monthly - more than any platform in India. His secret: embracing the middleman, not eliminating him.
Brilliant case study on language-first design. The insight about training AI on hundreds of thousands of call hours to handle Indian accents and code-switching is what separatesactual deployment from MVP demos. I've seen similar patterns in voice projects where the propriatary data moat comes from dialectal nuance, not the foundational model itself. The fact that retention prediction works at 70% accuracy from speach patterns alone is wild.
Brilliant case study on language-first design. The insight about training AI on hundreds of thousands of call hours to handle Indian accents and code-switching is what separatesactual deployment from MVP demos. I've seen similar patterns in voice projects where the propriatary data moat comes from dialectal nuance, not the foundational model itself. The fact that retention prediction works at 70% accuracy from speach patterns alone is wild.