Design AI Features With Budgets, Not Model Names

Short summary

Rather than hardcoding model names in AI features, design around service objectives—specify quality, latency, and cost constraints, then let an intelligence layer select the best model. Record each decision to evaluate models by production outcome, not benchmarks alone. This abstraction decouples product requirements from provider specifics, enabling better cost and performance optimization.

• •Design around constraints (quality, latency, cost) not model names
• •Record model selection and performance metrics for each request
• •Decouple product requirements from provider specifics

Generated with AI, which can make mistakes.