Overusing foundation models for tasks that don't require generative capabilities is a frequent error. Chip Huyen identifies this tendency as a primary mistake in early AI product development. Engineers often treat LLMs as a universal tool for problems better solved by traditional software. Practitioners should prioritize deterministic logic over stochastic models to ensure reliability.