A Complete Curriculum for Educators · By Professor Dr. Tan

Teach Students to Build
AI Market Intelligence Systems
That Actually Work

A step-by-step guide for educators — from zero coding knowledge to a production-grade AI pipeline — with real student case studies, reusable scaffolding, and a curriculum that produces commercial-grade results.

Real Student Results · TR2 2026 GitHub · Python · LLMs · CI/CD Zero Coding Knowledge Required to Teach This
Start Reading — Chapter 1 Jump to the Build Guide
LIVING DOCUMENT · Last updated 21 June 2026 · Chapter 1 and Chapter 4 now available · More chapters added as the book develops · Companion to the print edition — always reflects the current state of technology

In five weeks, a team of eleven university students — none of them computer science majors — built a fully automated market intelligence pipeline with three CI/CD workflows, an autonomous delta scoring agent, a Playwright evidence collector, a Python backend, and a TypeScript frontend. They predicted the direction of the S&P 500, Nasdaq 100, and Russell 2000 every week using a combination of human analysis and three competing large language models. Their system ran itself. This book explains how they did it, and how you can teach the next generation to do the same.

— Professor Dr. Tan · Stanford University · TR2 2026

The Case Study — Real Results, Real Students, TR2 2026

What Five Weeks of the Right Curriculum Produces

86
Commits in 5 weeks
26
Git branches
61
Pull requests
3
CI/CD pipelines
11
Students, all contributing
3
LLMs integrated
L4
Automation level reached
5
Weeks. Start to finish.

The Book

Four Parts. One Complete Curriculum.

Whether you are an educator designing a new course, a school administrator evaluating AI curriculum, or a practitioner who wants to understand how to build these systems yourself — this book takes you from first principles to a deployable, commercial-grade market intelligence platform.

Part One

The Vision

Part Two

Build It Yourself

Part Three

Teach It

Part Four

Commercial Potential

How This Book Works

You Read. You Build. You Teach.

Every chapter follows the same three-layer structure. You never get theory without practice, and you never get practice without knowing why it matters in a classroom.

01
The Concept
Plain English explanation of what the chapter covers. No jargon. No assumed knowledge. Written for an educator, not a developer.
02
Do It Yourself
Numbered steps. Every click documented. Every command explained. What you should see when it works. What to do when it doesn't.
03
Teach It
How to present this concept to students. What to demonstrate live. What to hand them as scaffolding. How to assess it.
04
Real Student Evidence
What TR2 2026 students actually did with this concept. The commits, the branches, the PRs, the mistakes, the breakthroughs.
05
The Living Update
This website. As tools evolve, the web version gets updated. The print book directs you here for the latest code and tool recommendations.
A Note on Prerequisites

This book assumes zero coding knowledge on the part of the educator. If you can send an email and use a web browser, you can follow every step in this book. The goal is not to make you a programmer — it is to give you enough working knowledge to design, supervise, and assess students who are building these systems. By the end of Part Two, you will have built a working version yourself. That changes everything about how you teach it.