Getting an AI demo working is easy. What happens after that?

Hey everyone, Dominic here. Just joined and figured I'd say hi.
One thing I find really interesting about AI development right now is how fast you can go from an idea to a working demo with tools like Cursor, Claude Code, or Lovable.

But getting something working and getting it ready for real users are two pretty different things.
That's where the fun engineering problems start. APIs that don't play nicely together, AI responses that aren't always predictable, messy backend logic, deployment headaches, or that one feature that works perfectly until someone actually uses it.

I'm an independent developer, and that's the kind of stuff I enjoy digging into. Making things work properly, not just look impressive in a demo.

Mostly here to meet founders who are building something real, swap ideas, and connect with people who care about shipping good software.

Curious about something though — if you're building an AI product right now, what's been the biggest headache getting it from prototype to production?

Would love to hear what everyone's working on. And if you're stuck on something technical, happy to compare notes.