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AI

Made Crystal Clear

A practical, visual guide to AI concepts for leaders and curious minds, no code required

Every meeting now has an AI conversation, and most of the room is nodding along to words they could not define: agent, harness, RAG, context window, fine-tuning, evals. This guide fixes that in an afternoon. It explains how AI actually works and what the terminology really means, in plain language with a diagram for every concept, so managers, support and ops leaders, and curious professionals can ask sharp questions, judge vendor claims, and make confident decisions. No code, no math, no hype.

Pages
127
Level
Beginner to advanced
Status
Available
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Inside the book

  1. 01The AI Moment, and Why the Words Matter
  2. 02What AI Actually Is: AI, ML, GenAI, and LLMs
  3. 03How an LLM Works, With No Math
  4. 04Talking to AI: Prompts, System Prompts, and the Context Window
  5. 05Hallucination: Why AI Makes Things Up, and What Trust Looks Like
  6. 06Agents and Harnesses: When AI Stops Answering and Starts Doing
  7. 07How AI Learns Your Business: Embeddings, Search, and RAG
  8. 08Prompting, RAG, or Fine-tuning: The Decision That Saves Budgets
  9. 09AI at Work: Copilots, Chatbots, and Real Workflows
  10. 10Judging AI: Evals, Benchmarks, and Why Demos Lie
  11. 11The Risk Map: Privacy, Bias, Injection, and the Rules Arriving
  12. 12The Economics: What AI Really Costs, and the Build-vs-Buy Call
  13. 13Your Learning Path and Cheat Sheet

You'll leave with

  • Tell AI, machine learning, generative AI, and LLMs apart in one diagram
  • Understand how an LLM works: tokens, training, inference, no math needed
  • Speak the vocabulary: context window, prompts, hallucination, temperature

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Sources

Every source cited in AI Made Crystal Clear. Each number matches the [n] marker next to that link in the book's "Go deeper" lists, so you can trace any claim back to its origin.

  1. [1]Stanford HAI AI Index 2026
  2. [2]McKinsey: The State of AI
  3. [3]Management as AI superpower (Ethan Mollick)
  4. [4]Google Machine Learning Glossary
  5. [5]NVIDIA: What is generative AI
  6. [6]But what is a GPT? (3Blue1Brown)
  7. [7]NIST AIRC Glossary
  8. [8]Google: Introduction to large language models
  9. [9]The Illustrated Transformer (Jay Alammar)
  10. [10]An Intuitive Guide to How LLMs Work (Jeremiah Lowin)
  11. [11]Anthropic: Prompting best practices
  12. [12]Anthropic: Prompt engineering overview
  13. [13]Anthropic: Context windows
  14. [14]Google Cloud: What are AI hallucinations
  15. [15]Anthropic: Reduce hallucinations
  16. [16]OWASP Top 10 for LLM Applications 2025
  17. [17]I think "agent" may finally have a useful definition (Simon Willison)
  18. [18]Harnessing Claude's intelligence (Anthropic)
  19. [19]Building agents with the Claude Agent SDK (Anthropic)
  20. [20]Building effective agents (Anthropic)
  21. [21]What are AI agents (Google Cloud)
  22. [22]Agent Harness Engineering (Addy Osmani)
  23. [23]Harness, Scaffold, and Agent Terms (Hugging Face)
  24. [24]Model Context Protocol
  25. [25]AWS: What is Retrieval-Augmented Generation?
  26. [26]RAG Explained Simply (freeCodeCamp)
  27. [27]Microsoft Foundry: Fine-tuning considerations
  28. [28]Anthropic API pricing
  29. [29]Stanford AI Index 2026, Economy chapter
  30. [30]Anthropic: Define success criteria
  31. [31]NIST AI Risk Management Framework
  32. [32]EU AI Act official policy page
  33. [33]EU AI Act high-level summary
  34. [34]EU AI Act Article 99: Penalties
  35. [35]OpenAI enterprise privacy
  36. [36]Microsoft 365 Copilot enterprise data protection
  37. [37]OpenAI API pricing
  38. [38]ChatGPT business pricing
  39. [39]Microsoft 365 Copilot
  40. [40]Ethan Mollick: Making AI Work
  41. [41]Simon Willison: agent definitions
  42. [42]r/artificial
  43. [43]Anthropic: Effective harnesses for long-running agents
  44. [44]NIST AI RMF 1.0 (AI 100-1)
  45. [45]NIST Generative AI Profile (AI 600-1)
  46. [46]OpenAI: How your data is used
  47. [47]Anthropic: API and data retention
  48. [48]Anthropic: Consumer terms update
  49. [49]Google Gemini API pricing
  50. [50]What is an Agent Harness? (Eric J. Ma)
  51. [51]Mollick's five rules of AI leadership (Insight Partners)
  52. [52]r/OpenAI
  53. [53]r/ClaudeAI
  54. [54]Hugging Face

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