Drop your AI project — people will tell you if they’d actually use it
Drop your AI project — people will tell you if they’d actually use it
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I tested affiliate marketing and dropshipping for 4 years.
Day 14: MLB cheap underdogs hitting again, real money now up 134%
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This perspective emphasizes the importance of user-driven validation in AI development. Leveraging real user feedback early on can effectively prevent resource wastage on technologies that don’t address genuine needs. Additionally, it aligns with principles of human-centered design—ensuring that the AI tools we create are not only technically feasible but also practically valuable. Incorporating iterative feedback loops with target users can also uncover unforeseen use cases and enhance adoption. Ultimately, engaging potential users throughout the development process fosters more impactful and sustainable AI solutions.