Definition
A dead-simple way of running an AI: just let it try, show it the error, and let it try again until it works.
A minimal agent harness pattern — named after a Geoffrey Huntley blog post — that repeatedly feeds compiler or tool errors back to an LLM until output passes; the basic-agent baseline in the DeepMind Erdős work.