Explain AI model choices in product manager interviews

Learn how to explain AI model choices in product manager interviews by framing technical decisions as a logical story. Interviewers want to know why you picked a specific model, not just what you built. Using a massive language model for a simple task is like tailoring a daily shirt out of silk. It is expensive and slow. This lesson teaches a five step framework to articulate your decisions. You will learn to structure your answer by defining the problem, justifying AI, selecting the model, stating trade-offs, and proving results. We break down an example of auto-sorting support tickets. You will see why switching from a flagship model to a smaller, cheaper model was the better product decision. Focus on the job, not the model size, to confidently defend your architecture. In this lesson: - The five step framework for AI features - Why flagship models fail at simple tasks - Trade-offs between small and large models - Optimizing support ticket routing U2xAI Academy - AI skills for product managers.