Understand the machine.
Get underneath the interface. Understand tokens, attention, training, and why today’s models behave the way they do.
FOUNDATIONS →THE BUILDER’S GUIDE TO AI
Understand AI.
Build what’s next.
From the ideas that started it all to the agents changing everything. One book to understand, build, and ship AI that works in the real world.
By Shashank AgarwalAWS SageMaker launch team · Founder, Noveum AI
KINDLE · PAPERBACK · HARDCOVER
5.0Amazon.in reader rating
22Chapters.
One connected story.
One connected story.
5Parts. From foundations
to the frontier.
to the frontier.
80+Original diagrams.
Ideas you can see.
Ideas you can see.
0PhDs required.
Just your curiosity.
Just your curiosity.
01 / A CLEARER PICTURE
The world doesn’t need
more AI noise.
It needs understanding.
You’ve seen the demos. Tried the tools. Read the headlines. But the pieces don’t always connect.
Intelligence at Scale connects them. The history, the mechanics, the architectures, and the hard lessons of production. Explained by someone who has built at both Amazon scale and startup speed.
02 / INSIDE THE BOOK
A small library of ideas.
One connected journey.
Read from the beginning, or follow your curiosity.
22 chapters. Five parts. Plenty of “aha” moments.
01The Foundation
The Foundation
The ideas, people, and breakthroughs that brought us here. From the first neural networks to the transformer revolution.
- 01How It All StartedREAD FREE
- 02Before the TransformerREAD FREE
- 03Attention Is All You NeedREAD FREE
- 04The OpenAI Saga
- 05Inside the Machine
- 06The NVIDIA Story
- 07The New Landscape
02Building AI Agents
Building AI Agents
Turn a model into a system that can do useful work. Prompts, context, memory, tools, and multi-agent architectures.
- 08Prompt Engineering and Context Engineering
- 09What Is an Agent?
- 10Building AI Agents
- 11Multi-Agent Systems
- 12The Agent Toolbox
03AI in the Real World
AI in the Real World
Bridge the gap between an impressive demo and a dependable product. Deployment, evaluation, observability, and the business of AI.
- 13Production AI: Deployment, Monitoring, and Evaluation
- 14The AI Landscape
- 15The AI Coding Revolution
- 16AI and Society
- 17The Builder's Playbook
04Beyond Text
Beyond Text
See how machines create images, understand speech, make music, and generate video. The architectures behind the magic.
- 18Image AI -- From GANs to Diffusion
- 19Voice and Music AI
- 20Video AI -- The Next Frontier
05The Future
The Future
Explore what happens when agents work together, and what the age of intelligence means for the things you build next.
- 21The Multi-Agent Future
- 22The Age of Intelligence
03 / SEE HOW IT WORKS
Big ideas.
Made visible.
Some things click when you see them. That’s why this book pairs the explanation with the architecture, one diagram at a time.
Explore the agent loop. Click a step to look inside.
Explore the diagram collectionGOAL + INSTRUCTIONS + MEMORY
Start with the right context.
An agent receives a goal, instructions, and relevant memory. A good system prompt defines the job, the boundaries, and what success looks like.
Chapters 8–9 · Prompts & agentsILLUSTRATIVE AGENT LOOPFROM PART II · BUILDING AI AGENTS01 — 04
04 / FROM KNOWING TO DOING
Close the tab.
Open up possibilities.
Build a mental model you can carry into
your next project, decision, or conversation.
Build with intention.
Choose the right context, tools, and architecture. Know when a simple workflow is enough and when you need an agent.
AGENT ARCHITECTURES →Ship with confidence.
Learn what changes in production. Evaluate quality, watch costs, trace failures, and build the loop that makes a system better.
PRODUCTION SYSTEMS →05 / IN GOOD COMPANY
From the other
side of the page.
Harkirat singh
Amazon.in“The diagrams are probably my favorite part. A lot of concepts that felt confusing before finally clicked for me.”
Uma
Amazon.in“This is one of the best reads I have had in the past few years around AI.”
Krthk
Amazon.in“A well-structured and insightful book that makes complex AI concepts easy to grasp.”
sagar
Amazon.in“Every chapter made me discover the power of llms agents n how to practically apply in my projects.”
Kindle Customer
Amazon.in“Highly recommended for software engineers who want to move from experimenting with AI to deploying reliable AI applications.”
Nayla Noor
Amazon.in“The explanations are clear and free frm unnecessary jargon that makes it easy for beginners to follow.”
Vidushi Anand
Amazon.in“I especially liked the chapters on AI agents and prompt engineering. You can tell the author has real experience building these systems.”
Shivam Gupta
Amazon.in“Being an AI engineer, i really liked how history of AI was presented in an engaging and story-like way.”
Vighnesh KarthaEarly reader feedback
Early reader“I love how the language and explanation is as simple as it can be. That simplicity makes it a great and easy read.”
Early readerEarly reader feedback
Early reader“It's genuinely impressive how well you have balanced theory with real world practicality. You have explained such a wide variety of concepts in a very easy to understand way. One of the best points is the reader doesn't even realize how much depth it covers effortlessly.”
All 8 written Amazon reviews, with short excerpts and links to the full text. Checked September 22, 2026. Reviews shared across marketplaces appear once; rating totals are shown separately.
SHASHANK AGARWAL / AUTHOR & BUILDER07 / A FEW PAGES CAN CHANGE YOUR PERSPECTIVE
Your next “aha”
is on the house.
Start with the first three chapters. Discover the unlikely events that led to modern AI, then meet the architecture that changed everything.
01
CHAPTER 1 · READ FREE
02How It All Started
CHAPTER 2 · READ FREE
03Before the Transformer
CHAPTER 3 · READ FREE
Attention Is All You Need
No account. No paywall. Just start reading.
08 / YOUR NEXT CHAPTER
A place on your shelf.
A shift in your thinking.
Same ideas. Your favorite way to read.
ALWAYS WITH YOU
Kindle
Your whole library, wherever you go.
Available on Amazon.com and Amazon.in.View Kindle on Amazon Kindle on Amazon.inTHE EVERYDAY COMPANION
Paperback
Made for margins and lightbulb moments.
Available in the USA. India edition in progress.View Paperback on AmazonFOR YOUR BOOKSHELF
Hardcover
An idea worth keeping close.
Available on Amazon.com.View Hardcover on AmazonPaperback: USA now. India edition in progress.
See Amazon for current prices and availability.
Who is this book for?
Engineers building AI features, founders making technical decisions, leaders working with AI teams, and curious readers who want to understand the technology. The foundations start from first principles; the agent and production chapters go deeper.
Do I need a machine learning background?
No. Concepts are introduced with plain language and visual explanations. Some familiarity with software helps in the practical chapters, but you don’t need a PhD or experience with a particular framework.
Can I read a sample first?
Yes. The first three chapters are available to read online, with no account required. You can also request the free preview by email.
Is the paperback available in India?
The paperback is available in the United States on Amazon.com. An India paperback edition is in progress. For now, readers in India can get the Kindle edition on Amazon.in.
How current is the material?
This edition was written through early 2026. It combines the history and foundations of modern AI with agent architectures, context engineering, MCP, and production evaluation. Examples reflect that edition’s publication period.
Can I get copies for my team or classroom?
Email [email protected] with your group size and preferred format to discuss team or classroom copies.
I bought the original PDF. Where is my copy?
Your PDF and EPUB download links were sent to the email used at checkout. If you can’t find them, email [email protected] from that address for help.