agents – Scott J. Pearson’s Book Review

AI Agents in Action: Intelligent Workflows with LLMs, MCP, A2A & More

By Scott J. Pearson | November 5, 2026November 5, 2026 by Scott J. Pearson

Agents are ushering in a new era in Artificial Intelligence (AI) whereby they accomplish tasks in the world electronically that mere chatbots cannot do. Through running specialized code, they can communicate with a main thread – and even with each other. In this book, now in a second edition, Micheal Lanham keeps technical folk up to date with the latest developments. In training, educators drill into IT folks’ heads to know how and why things…

The Agentic AI Bible

By Scott J. Pearson | November 2, 2026November 2, 2026 by Scott J. Pearson

Artificial Intelligence and AI agents can seem like a mystery to the world of coders and engineers. It’s presented with words like “super intelligence,” and being non-deterministic, it can be unpredictable at times. The normal rules of programming seem not to apply. But in truth they always do, and AI still runs on Turing Machines. In this book, Thomas Caldwell makes AI and specifically AI agents much more accessible by showing how they can be…

Artificial Intelligence

Agentic Artificial Intelligence: Harnessing AI Agents to Reinvent Business, Work & Life

By Scott J. Pearson | September 7, 2026September 7, 2026 by Scott J. Pearson

Artificial Intelligence (AI) continues to evolve quickly, perhaps too quickly for all of us to keep up. One of the current innovations is agentic AI, which can accomplish specific tasks for you with minimal programming or coding. Pascal Bornet and his vast team shows us how these innovations can help our lives and our work. Why did I pick up this book? I kept hearing the words “agentic AI” without really having a strong grasp…

Artificial Intelligence Software-Technology

Designing Agentive Technology: AI That Works for People

By Scott J. Pearson | August 28, 2021November 8, 2025 by Scott J. Pearson

It seems that advances in Artificial Intelligence (AI) have always been just over the world’s horizon ever since the 1950s. Although General AI – the kind that mimics full human intelligence – still seems decades away, our society seems to be adapting so-called Narrow AI already. (In fact, for work, I develop software that uses Narrow AI approaches for use by research administrators.) Noessel seeks to explain how non-programmers can design software that helps us…