How I Evaluate AI Features Before Writing Code

A useful AI feature must improve a decision, reduce manual effort, or unlock a workflow that was not possible before. If the feature only adds novelty, I treat it as a demo until it proves business or user value.

Before choosing a model, I define what bad output looks like, who will be affected, and how the interface should recover. This keeps the product from hiding uncertainty behind a polished UI.

Accuracy matters, but product usefulness also depends on latency, clarity, trust, cost, and handoff. The best AI systems make uncertainty visible and give users a confident next step.