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AI agents are beginning to upend software in a fundamental way. Over the next decade, the familiar SaaS model will be displaced by complex adaptive systems that act as autonomous observing context, taking initiative, delivering outcomes. The shift has already begun, embedded in workflows you use today, but it will accelerate as agents become more competent, trustworthy, and human-like. This book is for those building this future. Grounded in complex systems theory and AI research and engineering, but balanced by design and product thinking, AGENTIFY draws on work with dozens of teams building AI agents today.
Packed with lessons that outlast the weekly flux of new models and frameworks, AGENTIFY combines research depth, engineering rigor, product acumen, and design craft in one meticulous volume. AGENTIFY shows how agents differ from continuous planning loops, memory, tool use, meta-learning, and world modeling. It also develops architectural patterns for autonomy and oversight. Topics include reinforcement learning, synthetic and curated training data, fine-tuning and tool formation, protocols, precision context engineering, and subagent orchestration. Case studies, research surveys, and insights from work with dozens of real teams will help you to ship agents that deliver outcomes.
Here you'll find the foundational patterns, trade-offs, and mental models to navigate the future of software. No other resource in print today spans as many dimensions critical to your agents' success.
Is the Canadian-born author of Dark Side of the Sun, The Leaf Cutter and The Corduroy Road, well-received and much-loved books that have garnered regional and national media attention across Canada. And he loves a good adventure - he was temporarily stranded on an iceberg once, was accidently branded an illegal alien (along with his wife and kids) in Panama and his family lived in the jungles of Central America for a year. In his other life, he's an avid history and music buff with serious addictions to chocolate and The Beatles. Michael currently resides in Calgary, Alberta, with his wife and three children.
The author (btw, it's a different Michael Palmer than https://www.goodreads.com/author/show... ) is really knowledgable and experienced in building AI agents. This book has a lot of good insights to offer and has expanded a lot my understanding about the multitutude of challenges of building and maintaining a successful AI agent.
The book is well written, but the Kindle version has a few formatting issues. if you are serious about actually implementing complex real-world AI agents, it's a very good book and still relevant. For people who are just curious about the topic, the depth and width of the book is at times too much, so I've skipped a couple of topics. The author's predictions about the AI agents are also fascinating.
Giving it 4 stars mainly because the book was not a bit overwhelming for a reader like me that's just curious to understand the big picture.