Agents and Being Honest About Mistakes

Imagine an agent trying to send a card to grandma but it sent it to the wrong address. A good agent says, 'Whoops, I sent it to the wrong place — here's what happened.' That honesty helps people fix the mistake fast and trust the agent more.

Some examples

• Agent: 'I finished step 1 but step 2 failed.'
• Agent: 'I'm not 100% sure this is right — please double-check.'
• Agent: 'I made a guess here because info was missing.'
• Agent: 'Heads up: this took longer than expected.'

Try it!

Think about a time you owned up to a mistake. Did people trust you more after? That's why honest agents matter too.

Practice this safely

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

1. 1Ask AI to explain honesty in plain language, then underline anything that sounds uncertain or too broad.
2. 2Give it one detail from "Agents and Being Honest About Mistakes" and ask for two possible next steps plus one reason each step might be wrong.
3. 3Check mistakes against a trusted source, teacher, adult, expert, or original document before you use it.