Balázs Horváth argues that as AI helps teams build software faster, understanding which problems to solve becomes more important. He recounts an internal hackathon where many proposed agents were abandoned because they lacked business value or data access.
He uses a support workflow to explain story mapping, user stories and acceptance criteria, recommending that teams discuss those stories with stakeholders and provide the resulting context to AI tools.
Horváth offers questions about whose problem is being solved, what success means, why users might refuse a solution and which decision it changes. He recommends measuring repeated use and involving experienced people in decisions about what to build.
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