How AI Agents Check Their Own Work

Like a student checking math homework, AI agents can look back at their work. Good agents don't just do a task and call it done — they check the result and fix mistakes. This makes them way more useful.

Some examples

• An agent that wrote an email reads it back to spot weird wording.
• An agent that booked a meeting checks the date and time again.
• An agent that summarized a story rereads it to see if it's accurate.
• If something looks wrong, the agent fixes it before showing you.

Try it!

Write a sentence about your day. Wait one minute. Then read it again. Did you spot anything to fix? Boom — you just self-checked like an agent!

Practice this safely

Try this with a low-stakes example and a trusted adult nearby. The goal is to notice how AI talks about self-checking, not to let it make the decision for you.

1. 1Ask AI to explain self-checking in plain language, then underline anything that sounds uncertain or too broad.
2. 2Give it one detail from "How AI Agents Check Their Own Work" and ask for two possible next steps plus one reason each step might be wrong.
3. 3Check verification against a trusted source, teacher, adult, expert, or original document before you use it.