Put a Cost Budget Around Every AI Feature

Short summary

AI feature selection should balance quality benchmarks with cost budgets, accounting for real-world retry and support overhead. Provides TypeScript patterns for budget-constrained model selection and cost tracking. Core insight: a model request is technical; its cost is business.

• •Model selection must factor economic constraints alongside quality scores
• •Track actual vs estimated costs to surface expensive workflows and retry patterns
• •Failed cheap results cost more than successful expensive ones when support is factored in

Generated with AI, which can make mistakes.