Accidentally I am working on this. I noticed the agent keeps making same mistakes and that annoyed me so much. What I am trying to do are: 1. Revise my skill prompt to level up the signal-noise rate so the agent would understand what should do clearly and correctly. 2. I am building up a status machine to monitor the agent’s work so it could stop the agent from going forward with a mistake automatically.

The first approach does work as far as I keep on iterating. The second is based on a project I once tried to let agent reflect its mistakes and deposit those experiences and learnings from mistakes and reflections. I named it Aristotle and you can find it on GitHub.

Shouting at the agent could only correct the current mistake but cannot prevent the next one.