"When you can build a working prototype in an afternoon, the question is no longer can you make it - it's should you build it, and what should you build. Most founders and teams struggle with those questions, not because they lack conviction, but because they test that conviction too late. Resources get committed before customer needs are validated. Confirmation bias filters what gets heard. They often fall in love with solutions before fully understanding the problems they need to solve."
"AI-accelerated development affects everyone - from solo founders building alone to small startup teams to larger software organizations at scaleups and enterprises. Whether you're a team of one or one hundred, the challenge is the same: deciding what deserves to exist. The CHAOS Report (Standish Group, 2020) indicates that more than two-thirds of software projects fail to meet their intended outcomes. While execution failures play a role, the problems often begin earlier - in the discovery phase. A focus on delivery velocity has replaced the judgment time needed to uncover what truly matters."
AI-accelerated development enables rapid prototyping, shifting the core question from technical feasibility to whether a product should exist and what it should be. Teams frequently commit resources before validating customer needs, allowing confirmation bias and solution-first thinking to drive choices. Delivery velocity often replaces the judgment time needed for discovery, producing projects that fail to meet intended outcomes. More than two-thirds of software projects do not achieve their goals, with discovery failures commonly at the root. Automating and integrating discovery tasks can accelerate validation, but teams must redesign discovery practices and prioritize customer validation before scaling development.
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