DUET optimises agents and LLM graders together
The non-obvious takeaway is that agent failure modes shift as the agent improves, so a static grader becomes a bottleneck that joint co-optimisation removes. Developers building agent evaluation pipelines can apply the alternating solver-grader update loop to their own scoring setups. Against named alternatives, DUET's 96.5% tops GEPA's 94.4% and SkillOpt's 94.0% on the Finance Agent Benchmark.