What's the best way to build reliable AI agents in 2026?

I've been exploring AI agents and how to make them useful for real-world applications, especially in the Web3 ecosystem.

One thing I'm curious about is how other developers approach building reliable AI agents beyond simple demos.

A few questions for the community:

• Which frameworks are you using to build AI agents?
• How do you handle tool calling, memory, and multi-step tasks?
• What has worked best for making agents more reliable in production?

I'm particularly interested in practical experiences rather than just theoretical approaches.

Would love to hear what you're building and what's working for you! 🚀