3. Multi-agent parallel with iterative refinement
   Parallel agents exchange partial results across rounds, each refining its output based on collective feedback. Natural convergence occurs without central control. It builds directly on simple parallel execution for higher-quality outcomes and differs from pure critique patterns by emphasizing mutual improvement rather than rejection; it is commonly layered inside coordinator or graph workflows for scalable polishing.