Artificial Intelligence Agents, Blake J., 2025

Artificial Intelligence Agents, Blake J., 2025.

   A few months ago, I watched a friend with zero tech experience build a working AI assistant from scratch—all in less than an hour. He didn’t touch a line of code. He didn’t download confusing software. Instead, he followed a few clear steps and, by the end, he had a chatbot answering real questions for his small business. He realized that this is what AI should feel like—accessible and useful from the start.
If you want to experience that same kind of success, this is the book for you. My promise is simple: You can build smart, real-world AI agents using ChatGPT, no coding or past experience required. You don’t need to be a data scientist, a developer, or even someone who likes computers to make this work. You only need curiosity, a willingness to try, and an hour for your first win.




Agent in an Hour.
A few years ago, I watched my gym-owner neighbor—who considered himself non-technical—create a simple AI chatbot during his lunch break. He was convinced he’d fail, but in under an hour, he set up a bot to answer questions on gym hours, class schedules, and membership fees—all without writing any code or knowing what an Application Programming Interface (API) was. By the end, he proudly showed it to his clients, amazed by what he’d accomplished in less than sixty minutes. That’s the experience I want for you.

To make things clear, an AI agent is a computer program or system that uses artificial intelligence to perform tasks autonomously, perceive its environment, and make decisions to achieve specific goals. An AI chatbot is a type of AI agent designed to simulate conversation with human users, providing assistance, information, or entertainment through natural language interaction. Meanwhile, an API is a set of rules and protocols that allow different software applications to communicate and interact with each other. It defines the methods and data formats that applications can use to request and exchange information, enabling integration and functionality sharing between systems. In the context of AI, an API provides access to AI services and models, allowing developers to integrate AI capabilities such as natural language processing, image recognition, or machine learning into their applications without needing to build these complex systems from scratch.

Contents.
Introduction.
Chapter 1: Setting Up for Success—Your First AI Agent in an Hour.
Chapter 2: Demystifying AI Agents—Jargon-Free Foundations.
Chapter 3: Building Your Toolkit—From Zero to Confident User.
Chapter 4: Visual Thinking—Blueprints and Flowcharts for Every Agent.
Chapter 5: Project Lab 1—FAQ Bot for Your Personal Brand or Business.
Chapter 6: Project Lab 2—Email Assistant for Inbox Zero.
Chapter 7: Project Lab 3—Workflow Automation With ChatGPT Agents.
Chapter 8: Prompt Engineering Playground—Mastering the Art.
Chapter 9: Ethics and Guardrails—Responsible AI Agent Deployment.
Chapter 10: Level Up—Sharing, Troubleshooting, and Continuous Learning.
Conclusion.
References.



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Теги: учебник по информатике :: информатика :: компьютеры :: Blake