An Introduction to AI: From Guessing to Knowing is a foundational guide that talks about the shift from traditional step-by-step computing to "Intent-Based Computing."

The primary skill becomes clearly defining "what" you want rather than "how" to do it.

The eBook distinguishes between two types of AI assistants: Generative AI (the "Smart Writer"), which waits for specific tasks and predicts the next word, and Agentic AI (the "Goal-Getter"), which is proactive and takes multiple steps independently to achieve a goal.

The technical "brain" behind these systems is the Large Language Model (LLM), fueled by data that is often unstructured in many businesses.

To ensure accuracy and honesty, the book introduces RAG (Retrieval-Augmented Generation), which acts as a "cheat sheet" for private company files.

The eBook outlines a three-step career path:

AI User: Beginners mastering simple tools

and prompts.

AI Freelancer: Intermediates building simple bots and creating a "Portfolio of Proof".

AI Consultant: Advanced experts who solve complex business problems and sell high-value outcomes.