Reflection Pattern: AI Agents Self-Correct in Production

The reflection pattern is a key design for agentic AI, enabling systems to manage complex tasks effectively. It involves a three-stage process: first, the model generates an initial response, then critiques it based on predefined criteria, and finally refines it to enhance quality. In the first stage, the model creates a draft response by accessing relevant documents or company policies. In the second stage, the model evaluates its initial output, potentially utilizing external tools like search engines to identify flaws. The final stage involves feeding the original draft and critique back into the model for revision and improvement.