At some point, almost everyone building AI voice agents runs into the same moment. You understand what’s possible. You've seen demos. You’ve connected tools. But when it comes to turning all of that into a reliable, real-world system, things suddenly feel harder than expected. For some, it’s getting the agent to sound natural. For others, it’s handling edge cases, failures, or handoffs. And for many, it’s knowing when something is “good enough” to actually deploy. That wall doesn’t mean you’re doing it wrong. It means you’ve moved past curiosity and into real building. This community exists for that exact phase, where questions get more practical and learning gets more honest. So let’s talk openly: If you’re just getting started, what’s the one thing about AI voice agents that feels most confusing right now? If you’ve been building for a while, what’s the hardest lesson you learned the hard way? And for everyone here: What’s the biggest gap between what you know AI voice agents can do and what you’ve actually built so far? Share it in the comments. Someone else here is probably staring at the same wall, and one honest answer could help them move past it.

Hey everyone! Glad to be here, I’m Jordan from Hamilton, Ontario. I’m currently on Day 176 of building a startup, and one thing I’ve committed to is documenting the journey daily, even on days when progress isn’t obvious. Alongside building, I’m also a professional magician, and I spend a lot of time around founders, AI builders, and people working on meaningful problems. I’m especially interested in how consistency, accountability, and honest progress compound over time, both personally and in startups. Looking forward to learning from this group and connecting with others who are building real solutions!