Building an internal agent: Iterative prompt and skill refinement

This blog post discusses the iterative refinement of internal AI-driven workflows, focusing on enhancing productivity and fostering an intuition for using AI agents. The author outlines strategies for improving these workflows through feedback, editable prompts, and tracking tools. They emphasize the importance of understanding and iterating on different workflow archetypes, particularly chatbots and code-driven solutions, while identifying challenges in automating less understood workflows.