The Agentic Workflow
Prompt Iteration
Prompt iteration is the practice of systematically improving prompts through testing, measurement, and refinement rather than ad-hoc trial and error. Effective prompt iteration treats prompts like code: teams use version control, evaluation suites, and side-by-side comparison to converge on better instructions, rather than relying on intuition or anecdotal feedback from a single session. Small changes to prompts can produce large, non-obvious shifts in agent behavior, so the developers who get the best results are those who instrument their prompts, measure outputs quantitatively, and iterate on data rather than gut feeling.
connected to
resources
Anthropic Prompt Engineering Guidedocs.anthropic.comComprehensive guide to writing and iterating on prompts for Claude (docs.anthropic.com)OpenAI Prompt Engineeringplatform.openai.comOpenAI's strategies and tactics for getting better results through prompt refinement (platform.openai.com)Promptfoopromptfoo.devHow to compare prompt variations systematically with automated evaluation (promptfoo.dev)Braintrust Prompt Playgroundbraintrust.devInteractive environment for iterating on prompts with side-by-side comparison (braintrust.dev)