Agent Swarm A/B Testing — Parallel Configuration Evaluation

I will build an agent swarm for parallel configuration evaluation — simultaneously testing multiple prompt variants, model configurations, or pipeline parameters across a large evaluation dataset, aggregating results, and producing a comparative analysis identifying the optimal configuration. Configuration evaluation that would take hours sequentially (testing 20 prompt variants across 100 test cases = 2000 sequential evaluations) completes in a fraction of the time when each variant is tested by a dedicated swarm of parallel evaluation agents.

The swarm covers configuration variant definition, parallel evaluation workers for each variant, test case distribution, metric collection per variant, statistical significance testing across variants, and a comparative report ranking configurations.