Never Run an AI Agent Without These Three Things in Place

Never run an AI agent without these three things in place. The failures I've seen in small business AI setups were almost always predictable, and almost always avoidable.

The worst part isn't that things go wrong. It's that the problems were visible before the agent ever went live. Three missing checks cause the majority of the damage.

The first is no human checkpoint. The agent is running tasks, sending messages, updating records, and nobody has signed off on the high-stakes ones. Before any action that touches a client, a payment, or something you'd be embarrassed by, the agent should pause and wait. Build in a single approval message: the agent sends it to you, you tap approve, it carries on. One extra step prevents the expensive ones.

The second is no error handling. APIs break, tools go offline, and data comes back in the wrong format. When that happens without a fallback, the agent either crashes silently or produces bad output you don't catch until it's too late. A retry and a notification solve this. You find out the moment something fails, before it causes a problem downstream.

The third is no visibility. The agent runs and you have no record of what it actually did. When something feels wrong later, there's nothing to check. A simple activity log from day one fixes this: every action, every result, written to a file. You don't need to read it daily. You need it there when something feels off.

I've built a lot of agents now, and the ones that cause problems share the same profile. No checkpoint, no error handling, no log. The ones that run reliably have all three.

Get these in place before anything goes live.