Teams building AI agents and chatbots need to rigorously test prompt changes, model swaps, and orchestration logic before shipping, but current A/B testing tools were built for traditional web features, not stochastic LLM outputs. Engineers end up stitching together logging systems, bad-case discovery, offline eval sets, and online experiment frameworks themselves, slowing iteration on agent reliability.