When AI Checks Its Own Homework

Smart AI agents read their own answers and look for mistakes — like proofreading homework before turning it in.

Some examples

• An AI agent writes code, then runs the code to test it.
• If it breaks, the agent fixes it and tries again.
• Some agents grade their own writing.
• Self-checking agents make fewer mistakes.

Try it!

Ask AI: 'Write a short poem, then read it back and tell me one thing to improve.' Watch AI grade itself.

How AI self-checking actually works

When you finish a test at school, your teacher often says 'check your work.' That's exactly what self-checking AI agents do — but automatically. After completing a step, the agent reads back its own output and asks itself questions like 'Does this answer make sense? Did I follow all the instructions? Are there any obvious errors?' For code, this is especially powerful: the agent writes the code, then actually runs it to see if it crashes. If it crashes, the agent reads the error message and tries to fix the bug — just like you would. This loop of 'do → check → fix → check again' is called iteration, and it's one of the main reasons AI agents produce much better work than a single-shot AI response. The agent doesn't stop after the first attempt — it keeps refining until either the answer passes its own tests or it decides it needs human help.

• Write-and-run: agent writes code then immediately runs it to catch errors
• Re-read check: agent re-reads its own answer looking for contradictions or gaps
• Criteria checklist: agent asks 'Did I fulfill all requirements from the original task?'
• Confidence rating: agent flags sections it's uncertain about for human review