Has anyone shipped a reliable AI agent that can recover from mistakes? 🤖

I'm exploring how to make AI assistants more reliable when they perform real tasks, not just generate answers.
One challenge I'm thinking about is what happens when an agent misunderstands an instruction, a tool fails, or an action doesn't work as expected.

For NEX-AI at AHMII Labs, I want reliability to come before adding more features. That means verifying actions, handling errors gracefully, and asking the user for clarification instead of guessing when uncertain.

For builders who have shipped agents: How do you handle failed actions and recovery in production? Do you use retries, checkpoints, verification steps, or human approval?

I'd love to learn from your real-world experience.