Published in Sep-2026

THE AI EVAL MINDSET

30 Focused Lessons for Testing AI That Works in the Real World

A practical framework for evaluating AI systems end to end.

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Who Is This Book For?

From beginners getting started in AI testing to engineering leaders scaling enterprise AI reliability.

For AI & ML Engineers

AI & LLM Developers

Architects and machine learning engineers building generative AI apps who need structured evaluation harnesses, benchmark datasets, and safety filters.

For QA & SDETs

Quality & Test Engineers

Software testers and automation specialists evolving their skill set to lead AI testing, probabilistic quality engineering, and autonomous agent verification.

For Leadership & CTOs

Engineering Leaders & CTOs

Tech leads and executives wanting confidence that AI features deployed to enterprise customers are safe, reliable, and compliant.

All Publications & Upcoming Titles

Explore the expanding library of quality engineering, AI evaluation, and distributed systems books by Millan Kaul.

The AI Eval Mindset
Available Now

THE AI EVAL MINDSET

30 Focused Lessons for Testing AI That Works in the Real World. Practical frameworks for evaluating LLMs, agents, and guardrails.

Next Title
Coming Soon

THE AI GUARDRAILS MINDSET

Reader Feedback & Praise

Early feedback, reviews, and takeaways from engineers and quality leaders reading Millan's books.

A must-read practical guide for every software tester transitioning into AI. Millan breaks down complex evaluation concepts into actionable engineering lessons.

Quality Engineering Practitioner AI & Test Automation Specialist

Finally, a book that moves past the hype to address real-world challenges in AI reliability, guardrails, and probabilistic evaluation.

Engineering Leader Enterprise AI Solutions

Start Building Your AI Eval Mindset Today

Available worldwide on Amazon in Paperback, Hardcover, and Kindle format.

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AI Books & Guides Testing AI & LLMs Eval AI Frameworks AI Guardrails & Trust Beginners in Testing AI Scaling AI Evaluation AI & ML Engineers Testing Autonomous Agents