Episode 112 - How Do We Know If an AI Agent Is Actually Working? | AI Agent Evaluation Explained

How do we know whether an AI agent is actually working—or just producing answers that sound convincing? In Episode 112 of Anupam Tech Talk, we explore how engineers evaluate AI agents beyond the quality of their final responses. You will learn about: Measuring task completion and success rates Evaluating accuracy, completeness, and relevance Testing tool calls and agent decisions Measuring reliability across repeated runs Balancing quality, speed, and cost Building evaluation datasets and regression tests Monitoring AI agents in production Key takeaway: An AI agent should be evaluated by the results it delivers, the actions it takes, and its reliability—not just by how intelligent its answers sound. 💬 Question: If an AI agent gives the right answer but uses the wrong process to get there, would you consider it successful? If you enjoyed the video, please like, share, and subscribe to Anupam Tech Talk for more practical insights into AI, software engineering, architecture, and emerging technology. 🎯 Anupam Tech Talk Building Engineering & Technology Leadership, One Lesson at a Time. #AI #AIAgents #AgenticAI #AIEvaluation #AIEngineering #ArtificialIntelligence #GenerativeAI #LLM #SoftwareEngineering #ResponsibleAI #MachineLearning #emergingtechnology #students #study #Episode112 #AnupamTechTalk