There's this weird split happening right now. Some AI tools are genuinely making people's lives easier. Others are sitting unused because they don't solve a real problem.
I've noticed a pattern. The AI tools that people actually stick with aren't the flashy ones. They're the ones that slot directly into something you already do.
Take AI transcription. Most people demo it once and stop because the setup is friction-heavy. But if you're someone who does a lot of interviews or meeting notes, a tool that just sits there and transcribes in the background? That changes your workflow completely.
Or custom AI chatbots built on your own docs. Developers love talking about fine-tuning and prompt engineering. But the real use case that gets adoption is simpler: small business owner uploads their FAQ, their product docs, gets an AI that answers customer questions. No API knowledge required. No prompt engineering needed.
The difference isn't the AI itself. It's the problem fit.
I think a lot of people jump into AI expecting it to revolutionize everything. The reality is it's better at solving specific, repetitive problems. If you're not doing something repetitive or if you already have a system that works, AI isn't going to dramatically improve your life.
Where do you see the problem fit actually working? What AI tools have actually changed how you work instead of just being a novelty?
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