According to @godofprompt on Twitter, leveraging AI-driven prompts—specifically a Claude-based framework—can reveal genuine product-market fit by focusing on hard-to-fake behavioral and economic signals, rather than vanity metrics or user-stated preferences (source: @godofprompt, Oct 22, 2025). The prompt provides five validation tests across dependency, economic, behavioral, network, and emotional categories, each with practical methodologies and concrete success thresholds. This approach allows AI startups and SaaS companies to rapidly assess true user dependency, discover non-negotiable features, and avoid common PMF anti-patterns in real-world, high-stakes environments. The framework enables founders to make data-driven decisions, reduce funding risk, and identify scalable business opportunities by testing real user actions—offering a strategic advantage for AI product validation.