AI agents can impress in a demonstration and still fail when users, tools, costs, and policies collide. Product leaders need a practical way to decide what good means, what evidence a release must produce, and when an agent should be held back.

AI Agent Evaluation is written for product managers, founders, educators, and technical leaders, including readers without a computer science background. It explains each idea in plain language and moves from product decision to measurement method. Readers learn todefine an Agent Contract, evaluate behavior, capability, reliability, and safety, and track cost and latency alongside quality.

The book shows readers how to apply Evaluation-Driven Development. Teams define acceptance criteria before changing an agent, compare every version with a trusted baseline, and turn production failures into repeatable tests. The book covers rubrics, deterministicchecks, LLM-based judges, benchmark design, regression gates, stress testing, human review, observability, authorization, prompt and context governance, and continuous improvement.

Four recurring examples in sales, healthcare, booking, and coaching show how the same evaluation discipline travels across domains and technology stacks. Practical checklists, worksheets, templates, and guided AI-assistant workflows help readers apply the methods to their own products. The result is a practical operating discipline for making AI agent quality measurable, auditable, and actionable.

Abdullah Mansoor is an AI engineer and researcher with a PhD focused on artificial intelligence from Portland State University. He is Co-Founder of InklyAI.io and Chief Strategy Consultant at Kogents.ai. He spent a decade at Intel, working across design automation, software research, data systems, and machine learning for chip design. His doctoral research applied reinforcement learning to monolithic 3D integrated-circuit placement. He now focuses on AI agent evaluation and Evaluation-Driven Development.

Fawaz Bokhari is Director of Technical Strategies and Partnerships at Senarios and Co-Founder of PoochoAI, an on-premises multilingual voice-agent platform. He has worked across software development, AI and machine learning, large-scale data systems, and technology education. He co-authored Object-Oriented Design Interview: An Insider's Guide. He earned a PhD in Computer Science and Engineering from the University of Texas at Arlington and is a Fulbright Scholar.