AI Mastery: The 2026 Non-Technical Blueprint

AI is neither magic nor a gimmick — it's a family of techniques for machines to simulate human judgment. This 20-page blueprint cuts through the hype and gives you the literacy you need to evaluate AI claims and use AI tools wisely in 2026.

WHAT'S INSIDE
• Part 1 — The Reality Check (3 chapters): the core definition of AI, the 3 things AI isn't, and a plain-English breakdown of how machine learning actually works
• Part 2 — Narrow vs. General (3 chapters): the Deep Blue example, current AI systems vs. what they can't do, the AGI debate camps, and the Hype Translation Guide
• Part 3 — The Modern Revival (3 chapters): the 2012 ImageNet moment, the three pillars (data, GPUs, transformers), how LLMs actually work, the hallucination problem, and a 2026 AI landscape map
• Part 4 — Worksheets & Literacy (4 interactive worksheets): The AI Claim Evaluator, The Hype vs. Reality Separator, My Personal AI Use Policy, The 30-Day AI Literacy Challenge
• Appendix: 14-term Skeptic's Glossary + further reading

WHO THIS IS FOR
→ Curious professionals who want to understand AI without a CS degree
→ Leaders evaluating AI vendors and need to spot hype
→ Anyone tired of marketing buzzwords and wants the real story