Made Simple Series

AI is everywhere. Understanding it shouldn't require a computer-science degree.AI Made Simple is a plain-English guide for anyone who wants to understand AI without a programming or data-science background.John Binks explains complex AI terminology in clear, approachable language. You'll see how artificial intelligence, machine learning, neural networks, deep learning, generative AI, large language models, assistants, and agents fit together and why they matter.Whether you use ChatGPT at work, hear AI discussed in meetings, manage AI adoption, or want to know where technology is headed, this book helps you join the conversation confidently.Inside, you'll learn:What artificial intelligence actually meansHow AI differs from traditional software and automationHow machine learning, neural networks, and deep learning workWhat makes generative AI different from predictive AIWhat large language models doWhat tokens, parameters, prompts, and context meanWhy an LLM is not the same as ChatGPTWhat happens after you press Enter in an assistantHow AI assistants use search, files, memory, retrieval, and toolsThe difference between an AI model, assistant, and agentWhy AI sometimes produces confident but incorrect answersHow to think about hallucinations, bias, verification, and missing contextWhat AI means for privacy, security, copyright, and sensitive informationHow AI is changing tasks, jobs, management and organizationsWhy human judgment matters more as AI becomes more capableWhat multimodal AI, local AI, robotics, and agentic systems may mean for the futureAI Made Simple doesn't claim AI will solve everything or bury you in jargon. It helps you ask better questions, evaluate AI claims, recognize limitations, protect important information, and decide when AI should assist people rather than replace their judgment.No programming. No equations. No computer-science degree required.You don't need to become an AI expert. You need to become AI literate.