@ahmiilabs3Founder&Ceo, Ahmii Labs
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.
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Answers2
Putting reliability ahead of new features is the right call for NEX-AI, because a customer will forgive an assistant that stops to ask, but one wrong email sent or one wrong payment made and they cancel. I'd save the check-ins for actions that cost money or reach other people, since an assistant that asks permission for everything feels like more work than doing the task yourself.
Exactly, Ryan. That’s the balance I want to get right with NEX-AI — minimal interruptions, but strong safeguards where they matter most.
My approach is to let NEX handle low-risk, reversible tasks independently, while requiring explicit confirmation before actions like sending emails, making payments, or changing important data. I also want it to verify outcomes and explain failures instead of silently assuming a task succeeded.
The goal isn’t just to make NEX more autonomous; it’s to make its autonomy predictable and trustworthy. Users should feel in control without having to supervise every step.
I think getting that boundary right is one of the hardest parts of building a genuinely useful AI assistant.
2 answers
Putting reliability ahead of new features is the right call for NEX-AI, because a customer will forgive an assistant that stops to ask, but one wrong email sent or one wrong payment made and they cancel. I'd save the check-ins for actions that cost money or reach other people, since an assistant that asks permission for everything feels like more work than doing the task yourself.
Exactly, Ryan. That’s the balance I want to get right with NEX-AI — minimal interruptions, but strong safeguards where they matter most.
My approach is to let NEX handle low-risk, reversible tasks independently, while requiring explicit confirmation before actions like sending emails, making payments, or changing important data. I also want it to verify outcomes and explain failures instead of silently assuming a task succeeded.
The goal isn’t just to make NEX more autonomous; it’s to make its autonomy predictable and trustworthy. Users should feel in control without having to supervise every step.
I think getting that boundary right is one of the hardest parts of building a genuinely useful AI assistant.