How to Dogfood Your AI Chat Agent: A Three-Layer Evaluation Framework with Goal-Directed NPC Simulation
The episode discusses a paper on evaluating AI chat agents using a three-layer framework: canonical evaluation, multi-turn evaluation, and goal-directed NPC simulation. The hosts detail how this system helps identify failures like generic responses by testing if users can achieve specific goals, showing measurable improvements in pass rates and providing actionable debugging insights.