Analysis questions cost savings of cheaper AI models versus engineer review time

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A developer analyzed whether cheaper AI models are cost-effective compared to higher-tier ones when factoring in human review time. The analysis uses a hypothetical task costing $5 on an expensive model versus $2 on a cheaper one, saving $3 per task. This saving buys approximately 1.8 minutes of review time if the engineer's time is valued at $100 per hour. If the cheaper model produces errors requiring more than that review time, total costs increase despite the lower model price. The author concludes that parallelizing AI agents can create bottlenecks as human review becomes the limiting factor in workflows.

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