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The Architecture of Intelligence: AI Agents, Multi-Agent Systems, and the Future of Knowledge Work
Paperback
Series: The AI Masterclass, Book 8
Business GeneralGeneral Computers
Publisher: Independently Published
Published: May 8 2026
Pages: 548
Weight: 2.76
Height: 1.11 Width: 8.50 Depth: 11.00
Language: English
Nobody explains how modern AI actually works at a systems level.
Most books stay surface-level. Papers go too narrow.
This book bridges the gap.
The Architecture of Intelligence is a rigorous, research-oriented guide to understanding and building AI agents and multi-agent systems powered by large language models.
This is not an introduction.
This is a framework for serious builders, researchers, and advanced practitioners.
# What You'll Learn
- How large language models actually work (beyond the hype)
- The architecture of AI agents: planning, memory, tools, and reasoning
- How to design multi-agent systems that collaborate, debate, and scale
- Real-world deployment patterns across industries
- Evaluation, safety, and alignment frameworks
- The future of knowledge work in an AI-driven economy
# What Makes This Book Different
Every chapter includes:
- Clear theoretical frameworks
- Production-level Python implementations
- Real-world case studies
- Research spotlights from cutting-edge papers
- Open research questions for deeper exploration
# Build Real Systems
Inside, you'll build:
- A full research AI agent
- A multi-agent pipeline with specialization and coordination
- Evaluation systems to measure agent performance in production
# Who This Book Is For
- AI engineers and developers
- Researchers and academics
- Startup founders building AI products
- Advanced students in machine learning
- Professionals adapting to AI-driven workflows
# Why This Matters
AI is no longer just a tool.
It is becoming a collaborator, researcher, and decision-maker.
Understanding its architecture is no longer optional.
If you want to build, not just use AI - this is your blueprint.
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