Evaluator-Optimizer: Generate, Critique, and Refine in a Loop

Short version: The evaluator-optimizer pattern has one agent generate output while another evaluates it and gives feedback, in a loop. Anthropic calls it evaluator-optimizer. Google splits the same idea into a generator-critic loop for correctness and an iterative refinement loop for quality. Both live or die by their exit condition. What is the evaluator-optimizer? In the evaluator-optimizer workflow, one LLM call generates a response while another provides evaluation and feedback in a loop (…