# Most people using AI daily can't explain 12 basic terms.
Canonical: https://social-archive.org/tgroenwals/IHANkgq28G
Original URL: https://www.linkedin.com/posts/lfrodrigues_most-people-using-ai-daily-cant-explain-share-7486747168809222144-Ynvp/?utm_source=share&utm_medium=member_desktop&rcm=ACoAAAAUj9ABA6XwLJ3RcHE4FACjTijtAT4klvY
Author: Luís Rodrigues
Platform: linkedin
Share mode: full
## Content
Most people using AI daily can't explain 12 basic terms. Not obscure ones, the ones that show up in every product announcement, every board deck, every job description. I picked 12 that matter right now. Not 12 for ML engineers. 12 for anyone who builds, buys, or decides anything involving AI in 2026. Grouped them into four buckets: → The Foundations: LLM, Token, Context Window The building blocks, what AI is, how it reads, and how much it can hold in its head. → How AI Learns: Fine-tuning, RAG, Hallucination How models get smarter, stay grounded, and where they still fail. → How AI Works Today: Agentic AI, MCP, Multimodal AI that acts, connects to your tools, and sees more than text. → Using AI Well: Prompt Engineering, Guardrails, Coding Agent The skills and safety nets that separate experiments from production. The one people underestimate: Guardrails. Everyone wants to deploy AI. Nobody wants to talk about what happens when it goes wrong. Guardrails are the difference between a demo and a production system. Are you already having that conversation with your team? -- I'm teaching a live workshop on July 31st. 3.5 hours where we build a production-grade web app with Claude Code. You watch us build it. Then you build yours. Register with 40% off 👉 https://lnkd.in/d3-5UE83 ♻️ Repost if this helped.
## Media
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