Original Summary

I've been thinking about this recently and wanted to see how others here approach it. I use AI heavily for building products. Coding, debugging, architecture, research etc. It's made the building part insanely fast. But I'm not sure about using it for the actual product ideation. Whenever I give an AI model an idea and ask what it thinks, I feel like it gives me a very AI-ish response. "The biggest challenge is X", "the market is oversaturated", "customer acquisition could be difficult", "there are already established competitors" etc. And most of these points sound very convincing. But sometimes I feel like it's a fake reality check. The model only knows what I tell it. I might have a lot of context in my head about why I came up with the idea, conversations I've had with users, things I've personally experienced, some specific insight about the market etc. If I only give the AI 20% of that context, it's judging the idea based on that 20%, while still confidently giving me a very complete sounding analysis. I'm starting to think the human should do the core thinking and AI should mainly help gather as much information as possible around the idea, research competitors, customer complaints, existing solutions etc. Then I can make the actual decision myself and use AI heavily to build it. Curious how other founders here think about this. Do you use AI for the actual ideation, or mostly for research and execution?   submitted by   /u/Glittering_Cup1104 [link]   [comments]

  • 情报分类：商业与市场研究
  • 分类依据：内容涉及商业、投资或市场动态
  • 信息来源：Reddit · SaaS
  • 发布时间：2026/9/20 14:26:49