“I’m Building Aero Strange AI — Here’s What I’m Trying to Solve”

I’ve been building Aero Strange AI, and I wanted to share the project here because Product Hunt is one of the places where builders can get feedback from people who understand what it takes to turn an idea into a real product.

The interesting part for me hasn't been simply putting an AI model behind a website.

The real challenge has been figuring out:

What should an AI product actually help people do?

The problem I'm exploring

AI can generate answers incredibly quickly.

But speed alone doesn't necessarily make a product useful.

I wanted to experiment with an AI experience that could help people move from a question or idea → useful output → something they can actually work with.

That is the direction I'm exploring with Aero Strange AI.

What I've been building

I've been working on the product experience, interface, workflows, and the way users interact with the AI.

Rather than trying to add every possible AI feature, I'm trying to understand which capabilities actually make the product more useful.

That means a lot of experimenting.

Some ideas work.

Some don't.

Some features look impressive during development but become much less important once someone actually uses the product.

And that's probably been one of my biggest lessons so far.

What building it has taught me

1. A working product teaches you more than an idea.

You can think about a product for months, but real usage exposes problems you couldn't predict.

2. UX matters as much as the technology.

A powerful AI capability isn't very useful if users don't understand how to access or apply it.

3. Feedback changes the direction of a product.

I'm learning to treat feedback as part of development rather than something that happens after development.

Where I am now

Aero Strange AI is still evolving.

I'm not presenting it as a finished solution or claiming that I've figured out the future of AI.

I'm building, testing, learning, and improving it.

That's the part of the process I actually want to share.

What I want to hear from Product Hunt makers

If you're building or have launched an AI product, I'm particularly interested in your experience.

What made users return to your product after their first try?

Was it a specific feature, workflow, simplicity, speed, reliability, or something completely unexpected?

I'd also love to hear what you think makes an AI product genuinely useful rather than simply impressive.

I'm building Aero Strange AI and would genuinely value perspectives from other makers who have already gone through this process.