How are you validating AI app ideas before building? Also open to ideas worth exploring.

I’ve recently been getting deeper into building AI apps and automation tools, and I’m trying to approach it in a more structured way rather than just building random projects.

Over the past few months, I’ve completed a few Udemy courses focused on AI app development, automation workflows, and working with APIs. I’ve also been watching a lot of YouTube videos discussing AI, which have been really helpful in understanding how to build practical AI tools.

Now I want to focus on building tools that actually solve real problems and provide genuine value — not just projects for the sake of learning.

My main question is: how are you validating AI app ideas before committing time to building them?

For example:

• How do you identify problems worth solving?
• Do you talk to potential users first or build something quickly and test it?
• Do you validate ideas through waitlists, landing pages, or community feedback?
• What signals tell you an idea is worth pursuing vs dropping?
• How do you avoid building something nobody wants?

Also, I’d love to hear any AI app ideas you think are worth exploring, especially problems you’ve personally experienced or seen in your industry that could be solved with AI or automation.

I’m particularly interested in:

• Workflow automation
• SaaS tools
• Productivity tools
• Niche industry solutions
• Tools that save people time or make money

My goal right now is to build useful, practical tools, learn quickly, and eventually turn this into something meaningful.

Would really appreciate hearing your experiences, validation methods, lessons learned, or even ideas you think are still untapped.

Thanks in advance 🙏