AI SIMPLIFIED
Generative AI, explained in plain English — no jargon, no fluff. AI SIMPLIFIED breaks down the technical terms and uses infographics to help you actually grasp the concepts, not just skim them.
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AI Doesn't Have To Be Confusing.
Most AI content assumes you already know the jargon. AI SIMPLIFIED doesn't: everything explained in plain English. No fluff. No jargon. Just AI explained simply.
- The complete breakdown of Generative AI, NLP, LLMs, MCP, RAG and others things that make Generative AI work for you.
- Don't let all tech acronyms scare you, I explain them all in plain english.
- I also cover a prompting framework, Reverse Prompting , Agents + the real cost of AI
- The real cost mechanics behind every AI bill, plus 8 business use cases and where to start.
Read it once and you'll walk into any AI conversation — with your team, a vendor, or a client — ready to apply it, not just nod along. That's the difference this makes.
AI SIMPLIFIED
13 chapters, cover to cover — your own reference for applying AI at work. It's built to make everything you learn easier to put into practice, from day one.
The full version of the fundamentals — not the two paragraphs you got in the summary.
- What Generative AI actually is, and why it's a force multiplier, not magic
- NLP explained, and why it's the foundation every other AI concept sits on
- How LLMs are trained, and why they can be confidently wrong — hallucination, explained plainly
- Transformers and Hugging Face demystified — the engine and the marketplace behind the tools you already use
The full comparison table and the framework the summary only had room to name.
- ChatGPT, Claude, Gemini, and Perplexity compared, with a simple rule for which to use when
- The complete PACR framework — Persona, Action, Context, Reference — with a worked example
- Reverse Prompting, for when you don't know how to start the conversation
The jargon that shows up in every AI pitch deck, translated into what it actually means for you.
- The AGENT framework, and what actually separates a real agent from a basic chatbot
- MCP explained through one analogy: a universal power adapter for AI
- RAG, and how it turns a generic chatbot into an expert on your specific business
The numbers side of AI that no one explains until you get a surprise bill.
- Eight business areas where AI is already paying off, and how to pick your first two
- Tokens, input vs. output costs, and the context window, explained with a backpack instead of jargon
- Five skills worth building now, so every future AI update feels like an upgrade, not a disruption
No subscriptions. No hidden fees. Just $9.99 one time.
Explained Once. Understood For Good.
Instant digital download. Read on any device. Yours to keep, forever.