Choosing the right ai model for your product tasks

Choosing the right ai model for your product tasks prevents burning cash on overkill features. Learn to match the model to the job efficiently. Product teams often default to the largest language model, assuming bigger is better. This causes high cloud bills and slow responses. Like picking city transport, you must match the ride to the trip. Small models are fast and cheap, ideal for high volume work like sorting support tickets. Large models cost more but handle complex tasks like drafting legal replies. This framework helps you evaluate task difficulty, speed, frequency, and cost. You will learn why starting small and scaling up only when needed is the best approach for product development. In this lesson: - Why the biggest model is often the wrong choice - How to evaluate task difficulty and volume - The four questions to ask before picking a model - Why you should start small and scale up later U2xAI Academy - AI skills for product managers.