7 Questions to Answer Before Building an AI Product, From Problem to Evaluation
goyalshaliniuk · x · 2026-09-29
Building an AI product isn't just about picking the latest model. Before writing code, the author argues you should answer seven questions: the problem, whether AI is actually needed, available data, failure modes, permissions, unit economics, and evaluation.
For evaluation, define measurable outcomes—accuracy, task completion, latency, cost per task, retention, error rate—and build evaluation into the product from day one rather than relying on "users like it." The post is a general pre-build checklist: problem → AI need → data → failure → permissions → economics → evaluation.
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