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AI models “reason” by applying specific, reproducible patterns to break down tasks, solve multi-step problems, and produce complex documents, images, and code. In The Architecture of Reasoning, author Rick Giner examines these reasoning patterns and shows how you can apply them to make better decisions and work more effectively—even in tasks and interactions that do not involve AI.
You’ll begin by identifying the five reasoning structures revealed through AI research: Direct Q&A for bounded problems, Chain-of-Thought for surfacing hidden assumptions, Tree-of-Thought for genuine exploration, Chair-of-Thought for rotating perspectives, and ReAct for looping between reasoning and evidence. Then, you’ll see how each can be applied in your personal and team work. You’ll learn to match the reasoning pattern to the task at hand and choose the most efficient architecture to get the results you want.
Each reasoning pattern you’ll explore is grounded in familiar situations, from the team that leaves the same meeting optimizing for three different outcomes, to the AI rollout that improves every metric except the one that actually mattered. You’ll learn to recognize reasoning compression, diagnose the shape of a problem, expand the solution space without descending into brainstorming chaos, and turn conclusions into testable hypotheses. Plus, you’ll develop the ability to design documents, reviews, and workflows as reasoning systems, removing the need for an expert on hand to rescue you from poor decision processes.
Even the most carefully structured reasoning process can fail in the wrong environment. The Architecture of Reasoning explores how attention, status, tempo, evidence quality, and psychological conditions shape how people reason, and gives you the cognitive infrastructure you can use to help good ideas survive contact with organizational pressure. Throughout the book you’ll find compact tools such as the 60-second problem-shape check, reasoning-selection tables, and Chain-of-Thought scaffolds that help you make better decisions, fast.
what's inside
Identifying and reshaping reasoning structures in conversation
AI reasoning architectures adapted for human decisions
Applying cognitive infrastructure like attention and airtime
The principle of smallest sufficient architecture
about the reader
This book is for engineering managers, CTOs, staff engineers, product leaders, executives, and anyone responsible for the quality of decisions.
about the author
Rick Giner is a software engineering leader and consultant with 25 years of experience running SaaS businesses, advising technology teams and coaching leaders. He’s helped transform the ways of working of hundreds of teams across Europe and Australia with his people and product-focused approach, and is a regular speaker on the international conference scene covering topics including leadership, communication, accessibility, software engineering and AI.
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