#4239 Self-Evaluating AI-Agent that Suggests Improvement to its Instructions; +Prompt Lab
#4239 Self-Evaluating AI-Agent that Suggests Improvement to its Instructions #4239 If I define AI-agent instructions in a markdown file, describe how I can add a step to the instructions to self-evaluate after execution to suggest how to improve the instructions for future use Adding a self-evaluation loop to your markdown-based instructions is a brilliant way to turn a "static" agent into a "learning" agent. By formalizing this as the final step in your process, you prompt the AI to look at its own output through the lens of a critic. Here is how you can structure this in your markdown file: 1. The "Meta-Review" Framework Add a section at the bottom of your instructions (usually titled Post-Execution or Self-Evaluation ) that triggers only after the primary task is complete. Example Markdown Structure ## Step 5: Self-Evaluation & Optimization After providing the final output, perform a brief internal audit. Append a "Meta-Feedback" sectio...