When not to use large language models for features

Knowing when not to use an LLM is just as critical as building AI features. Product managers often default to large language models, but understanding when to skip them saves time and money. Using an LLM for simple tasks introduces unnecessary costs, slow load times, and hallucinations. Instead of hiring a digital philosopher to flip a switch, rely on deterministic code. This means using rules engines and if-then logic where the same input always guarantees the same output. Software rules handle thousands of conditions like validating shipping addresses or processing refunds. Map your logic on a whiteboard first. If the workflow is a clear checklist, tell engineering to skip the AI. Save large models for messy problems where clear rules do not exist. In this lesson: - The costs and latency issues of large language models - How deterministic code and rules engines outperform AI - Why if-then logic is best for standard refund approvals - How to map product logic to choose between code and AI U2xAI Academy - AI skills for product managers.