HackerNews中文版

我们着手回答一个简单但深刻的问题：人工智能能否在设计过程的发现和构思阶段实际帮助产品设计师提高效率？因此，我们花了5周时间进行了一项实验。我们梳理了所有用于发现的工具：Mobbin、Dribbble、Pinterest、Twitter、Behance。我们分析了典型的设计思维和头脑风暴工作流程。我们回顾了使用过的每一个原型制作或创意捕捉工具。然后，我们尝试使用各种大型语言模型（LLM）工具和框架构建轻量级的人工智能工作流程。结果：是的。如果使用得当，人工智能可以显著改善设计思维——特别是对于初级和中级设计师——通过提供更快的创意生成、设计评审和创意融合。基于这项研究，我们开发了Moonchild：一个发现阶段的设计构思工具，能够： - 从最简的提示生成深思熟虑的用户界面概念 - 允许提出设计问题并获得结构化的反馈 - 从多个方向融合风格、流程和交互模式 - 快速输出适合Figma的精美屏幕和用户体验流程试用（私密测试版）： [https://moonchild.ai](https://moonchild.ai) 使用代码'hackernews'以获取早期访问权限。我们非常希望收到反馈——特别是来自产品设计师、项目经理和从事早期阶段工作的用户体验人员的意见。

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We set out to answer a simple but deep question: Can AI actually practically help product designers improve during the discovery and ideation phase of the design process?So we spent 5 weeks running an experiment.We mapped every tool we use for discovery: Mobbin, Dribbble, Pinterest, Twitter, Behance We broke down typical design thinking and brainstorming workflows We reviewed every prototyping or idea-capturing tool we’ve used Then we tried building lightweight AI workflows with various LLM tools and frameworksResult: Yes. Used well, AI can significantly improve design thinking — especially for junior/mid-level designers — by offering faster idea generation, design critiques, and creative merges.Out of that research, we built Moonchild: A discovery-stage design ideation tool that:Generates thoughtful UI concepts from minimal prompts Allows asking design questions and getting structured critique Merges styles, flows, and interaction patterns from multiple directions Outputs great Figma-ready screens and UX flows, fast Try it (private beta): <a href="https://moonchild.ai" rel="nofollow">https://moonchild.ai</a> Use code 'hackernews' for early access.Would love feedback — especially from product designers, PMs, and UX folks doing early-stage work.

展示HN：人工智能能否帮助设计师更好地构思？我们花了五周时间进行探索。