Agent Diagnostics Mode — A Structured Technique for Iterative Prompt Tuning

The article introduces 'Agent Diagnostics Mode,' a structured technique for iterative prompt tuning of LLM-powered agents. By referencing a small diagnostics prompt file, users can shift the model from executing tasks to reporting its reasoning process, enabling in-context debugging without losing conversational thread. The author demonstrates how this approach addresses common issues like prompt drift after model updates and inconsistent behavior across different agent platforms.