Engineer advocates for detailed context to improve AI product development

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An engineer argues that many people get poor results from AI tools because they provide insufficient context. The author explains that vague prompts force the AI to fill gaps with assumptions, leading to generic outputs. To combat this, they recommend a structured prompting method that inverts the process, having the AI interview the user to gather detailed requirements. This approach, part of a publicly available toolkit, aims to create a clear product plan before development begins. The goal is to move beyond improvisational 'vibe prompting' for substantial projects.

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