Framework for Comparing Cloud vs On-Device AI Costs

A developer proposes a structured method to compare cloud and on-device AI costs across four budgets: user wait, network transfer, provider spend, and device energy. The approach includes a CSV template with fields like latency, bytes, energy, and cost, and emphasizes matched user flows. The goal is to replace vague claims with measurable, evidence-based comparisons.