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Building Lean Test Automation: How Text-Based AI Testing Cuts Costs by 300x

테스트 자동화 비용 300배 절감하기: 텍스트 기반 AI 전략의 실제 사례

Why it matters

Development teams are unknowingly wasting substantial resources on expensive AI testing approaches, particularly through reliance on vision models and self-hosted infrastructure. This playbook reveals why vision models cost 200-300x more than necessary and demonstrates how text-based DOM automation can slash costs by 300x while maintaining full coverage. By adopting API-based AI and smart automation strategies, organizations can transform testing from a costly burden into a sustainable, efficient practice.

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AI TestingTest AutomationCost ReductionVision ModelsDOM-based Testing

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