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Build with AI, Build for AI

How to build a modern SaaS using AI as your copilot and as your platform.

Juan Urquiza

Software changed its front door: we don't open apps anymore; we talk to an assistant. Learn to build for that world —a real AI-native app with MCP, OAuth, and LLMs— using AI as your copilot. From zero to production.

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Programar con IA, Programar para la IA

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About

About

About the Book

Software is changing its front door. We no longer open apps and hunt for the right tab: we talk to an AI assistant and expect a direct answer. This book teaches you to build for that world.

You build, from scratch and with your own hands, a complete AI-native application: an MCP server that connects real data to Claude, ChatGPT, or Gemini, with OAuth, a language model working under the hood, and a proactive summary that sends itself. And you do it using AI as your copilot to write the code.

You'll learn to: set up the environment and create a Laravel project; expose MCP tools an assistant discovers and uses; connect an API with OAuth and handle tokens safely; call an LLM and write prompts that work; turn the prototype into a product with plans, deployment, and security; and launch it.

For anyone who has written some code and wants to make the leap to building products in the age of AI. Practical, hands-on, and current.

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Artificial Intelligence

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About the Author

Juan Urquiza

Software Engineer | Ciberseguridad | Construyo soluciones con IA | Fundador de hackeruna.com

Contents

Table of Contents

Preface

  1. Who this book is for
  2. The two layers of this book
  3. What you’ll build
  4. How it’s organized
  5. Conventions
  6. A promise and a warning

Chapter 1. What is an AI-native app

  1. A change of front door
  2. What “AI-native” means (and what it doesn’t)
  3. The two directions of the arrow
  4. MCP in plain language
  5. The anatomy of what you’ll build
  6. What you need before you start
  7. Chapter summary

Chapter 2. Set up your workshop: environment and first project

  1. The pieces we’ll install (and why)
  2. The short path: install PHP and Laravel in one go
  3. Install Node.js
  4. The editor: Visual Studio Code
  5. Create the project
  6. Start the server
  7. Put the project under version control
  8. A first “with AI” gesture
  9. Chapter summary

Chapter 3. Your first MCP server and your first tool

  1. The idea in one sentence
  2. Install the official package
  3. Create your first tool
  4. Register the server
  5. Test it from an assistant
  6. A design note: small, honest tools
  7. Chapter summary

Chapter 4. Real data: OAuth and the external API

  1. OAuth explained from scratch
  2. Register your app with the provider
  3. The two routes of the flow
  4. Store the tokens safely
  5. Refresh the token before it expires
  6. Close the loop: real data in your tool
  7. Chapter summary

Chapter 5. Real AI: the LLM and the proactive digest

  1. Two AIs, don’t confuse them
  2. Calling a model from your code
  3. The prompt matters more than the model
  4. From reactive to proactive: the weekly digest
  5. Chapter summary

Chapter 6. From prototype to product: plans, deployment, and security

  1. Plans: the upgrade trigger must be felt
  2. Deployment: get it off your machine
  3. Security: the non-negotiable minimum
  4. Differentiate where it matters
  5. Chapter summary

Chapter 7. Launch: put it in front of real users

  1. The asset almost nobody has: the mobile demo
  2. The channels, one by one
  3. The golden rule of communities
  4. The counterintuitive idea: reactivate before you acquire
  5. Measure what matters
  6. Chapter summary

Chapter 8. Building with AI: the method behind the method

  1. AI doesn’t replace your judgment; it amplifies it
  2. Where AI shines in a project like this
  3. The method in four habits
  4. How this book was written
  5. The full circle
  6. Chapter summary

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