Eight years ago, creating a landing page took over eight weeks and cost more than $20,000. Recently, the author completed a similar project in under two hours using AI, and the results exceeded what traditional agencies delivered back then. The process involved feeding Claude, an AI tool, 182 interviews from ideal customer profiles, call transcripts, and feedback on their existing site. The AI generated a 21-page positioning document based on April Dunford's framework, which the author then applied to a landing page structure. The landing page copy required minimal adjustments. After uploading the homepage to Replit for style consistency, the author made minor tweaks and secured approval from the VP of Growth the same day. While the total time spent was slightly over two hours due to graphic creation, the speed of execution allowed for rapid market testing, contrasting with competitors who would typically go through lengthy revision rounds. The author's emphasis was on quickly testing what works in the market rather than getting bogged down in perfection. Responses in the comments reflected skepticism about the AI's effectiveness, highlighting that the quality of output largely depends on the data fed into it. Some users pointed out the extensive groundwork required to gather customer insights, suggesting that not all businesses have the resources to replicate this success. Others expressed nostalgia for older methods, while some marveled at the author’s marketing expertise. The conversation also touched on the choice of AI tools, with questions about why Claude was preferred over ChatGPT for this project.