Three mistakes breaking your AI automation
14 July 2026
Most AI automations don't fail loudly. They fail silently, and you find out too late.
Three mistakes break almost every first automation. Fix them before you build anything.
The first is no confirmation step. When an AI agent touches real things, real emails, real bookings, real client files, it needs a moment to pause before it acts. Without it, the agent does what it thinks you meant. That's fine 90% of the time. The other 10% is a problem you clean up manually.
The second is no error recovery. APIs go down. Connectors time out. Files aren't always where the agent expected. When that happens and you haven't planned for it, the whole task fails without telling you. You find out when something that should be done simply hasn't been.
The third is no visibility. When something goes wrong, you need to see every step the agent took. If you can't, you can't fix it. And you can't get smarter about what to change.
I set up all three on every automation I build now. A confirmation prompt on anything that touches client data. An alert when a task fails. A log of what the agent did.
Ten minutes of setup saves you a full day of untangling.
Before you build your next automation, add all three safeguards. They're not extras. They're the foundation.