The trick isn’t to babysit your agent into perfection. It’s to design it so that when (not if) it screws up, it can dust itself off and get back on track. Give it the tools and freedom to manage itself—and then sit back and let the magic happen.

Why? Because AI agents today are like scrappy problem solvers with a talent for self-healing. A few years ago, getting stuck in an edge case was game over. Now? If they hit a wall, they just climb over it, find a map, or occasionally smash through it.

Here’s a secret: it’s not about predicting every weird scenario. It’s about two things—solid error handling and giving the agent enough ways to find the info it needs. That’s it.

You start worrying about every possible edge case, every obscure interaction between tools, intents, and actions. Exhausting, right?