From Retry to Recovery: Teaching AI Agents to Learn from Their Own Mistakes
A failed automation run usually tells you more than a successful one. A coding agent compiles the wrong program and receives a concrete error. A web-navigation agent clicks into the wrong product page and sees that the attributes do not match. A task agent tries an invalid action and the environment complains, patiently, like a machine that has seen too much. In each case, the system does not merely say “failed.” It gives clues. ...