Continuous Improvement
Your first attempt at a solution architecture is rarely perfect. Iterative refinement is the process of continuously testing, analyzing, and improving your AI-powered workflow.
The Feedback Loop
This process involves:
- Testing: Run your workflow with a variety of inputs and edge cases.
- Analyzing Failures: When the system produces a poor output, diagnose the root cause. Was it a weak prompt? Was the data in the wrong format?
- Refining: Make small, targeted changes to your prompts, scripts, or workflow logic to address the failures.
- Measuring: Track the performance of your system over time against a set of quality metrics to ensure your changes are leading to real improvements.