Every Claude Concept, explained

All 75 terms from my video, from tokens and training to Claude Code and safety, each defined in one line. Search them, jump to a chapter, or grab the one-page cheat sheet.

Concept map: all 75 terms in video order, grouped into 7 chapters 01The engine 01Artificialintelligence 02Machine learning 03Neural network 04Large languagemodel 05Pretraining 06Parameters 07Tokens 08Next-tokenprediction 09Context window 10Knowledge cutoff 11Hallucination 12Temperature andsampling 13Post-training 14RLHF 15Constitutional AI 16Anthropic 17Model family 18Multimodal 02Talking toClaude 19Prompt 20System prompt 21Promptengineering 22Few-shotexamples 23Extended thinking 24Effort 25Conversations arestateless 26Projects 27Memory 28Styles 29Web search 30Research 03Claude makesthings 31Artifacts 32Publishing andsharing 33Artifactcapabilities 34Files anddocuments 35Claude Design 04Claudereaches out 36Tool use 37Agents and theagent loop 38MCP 39Connectors 40Skills 41Plugins 42Claude in Chrome 43Computer use 44Claude in Slack 05Claude Code 45Claude Code 46Where it runs 47CLAUDE.md 48Permission modes 49Plan mode 50Slash commands 51Hooks 52Subagents 53Sessions andworktrees 54Background andcloud sessions 55Routines andloops 56Compaction 57Output styles 58Mods 59Workflows 60Code review 61Fast mode 06Building withClaude 62The API 63Pricing per token 64Prompt caching 65Batch processing 66Agent SDK 67Managed Agents 68Evals 07Keeping itsafe 69Alignment 70Prompt injection 71Jailbreaks 72Interpretability 73ResponsibleScaling Policy 74Model welfare 75Usage policy

01The engine18 terms

  1. 01

    Artificial intelligence

    Umbrella term for software that does things we used to think needed a human brain.

  2. 02

    Machine learning

    AI that learns patterns from millions of examples instead of hand-written rules.

  3. 03

    Neural network

    Layers of tiny math units passing numbers; learning adjusts the strength of each connection.

  4. 04

    Large language model

    A neural network trained on huge amounts of text to read and write language. Claude is one.

  5. 05

    Pretraining

    First training stage: the model guesses the next piece of text, trillions of times.

  6. 06

    Parameters

    The connection strengths (weights). A model's knowledge is spread across billions of them.

  7. 07

    Tokens

    Chunks of text a model reads and writes, about three quarters of a word each.

  8. 08

    Next-token prediction

    Claude writes one token at a time: score every option, pick one, repeat.

  9. 09

    Context window

    Everything Claude can see at once. Its working memory, big but finite.

  10. 10

    Knowledge cutoff

    The date after which a model hasn't seen any data.

  11. 11

    Hallucination

    A fluent, confident answer that's wrong. Check numbers, quotes and citations.

  12. 12

    Temperature and sampling

    How the next token is picked. Low temperature is focused, high is more varied.

  13. 13

    Post-training

    Second training stage that turns an autocomplete into an assistant that follows instructions.

  14. 14

    RLHF

    Reinforcement learning from human feedback: people rate answers, the model moves toward the preferred ones.

  15. 15

    Constitutional AI

    Anthropic's method: Claude learns to critique and improve its answers against a written set of principles.

  16. 16

    Anthropic

    The AI safety and research company that makes Claude.

  17. 17

    Model family

    Haiku (fast), Sonnet (balanced), Opus (harder problems), Fable (most demanding). Bigger costs more.

    Deep dive: Claude Fable 5 for UI Design: Beautiful Output Every Time
  18. 18

    Multimodal

    Claude can take in images, screenshots, charts, handwriting and PDFs, not just text.

02Talking to Claude12 terms

  1. 19

    Prompt

    What you send Claude. Better input, better output.

  2. 20

    System prompt

    Hidden instructions from whoever built the app: who Claude is, its tools, its rules.

  3. 21

    Prompt engineering

    Writing prompts that work: give context, the audience, an example of good, and what to avoid.

    Deep dive: How to Prompt AI for Better UI Design
  4. 22

    Few-shot examples

    Show a couple of finished examples and Claude matches their format and tone.

  5. 23

    Extended thinking

    Claude reasons step by step before answering, which helps with math, code and planning.

  6. 24

    Effort

    How hard Claude works on a task. Low is quick and cheap, high digs deeper.

    Deep dive: Claude Fable 5 for UI Design: Beautiful Output Every Time
  7. 25

    Conversations are stateless

    Claude re-reads the whole conversation every turn; it doesn't remember between messages.

  8. 26

    Projects

    A home base of files and instructions that every chat inside it can see.

  9. 27

    Memory

    Preferences and context Claude carries across conversations. You can view, edit or turn it off.

  10. 28

    Styles

    Change how Claude writes (concise, formal, your own voice) without changing what it knows.

  11. 29

    Web search

    Claude looks things up live and answers with citations, getting around the knowledge cutoff.

  12. 30

    Research

    Web search turned up: many searches over several minutes, cross-checked into a cited report.

03Claude makes things5 terms

  1. 31

    Artifacts

    Apps, dashboards, diagrams and documents Claude builds live in a panel next to the chat.

  2. 32

    Publishing and sharing

    Artifacts are private by default; publish one to share a link, or keep it in your team.

  3. 33

    Artifact capabilities

    Artifacts that read live data, save shared state, know the viewer, or ask Claude questions.

  4. 34

    Files and documents

    Real spreadsheets, slide decks, Word documents and PDFs you can open in Office.

  5. 35

    Claude Design

    A canvas for screens, prototypes and decks built with your design system.

    Deep dive: Claude Design Tutorial for Beginners (Full Walkthrough)

04Claude reaches out9 terms

  1. 36

    Tool use

    How Claude does things: it requests a tool, the app runs it, the result comes back.

  2. 37

    Agents and the agent loop

    Tool use in a loop: decide, act, check the result, repeat until the job is done.

  3. 38

    MCP

    Model Context Protocol: an open standard for connecting AI to tools and data. USB-C for AI.

    Deep dive: The Best MCP Servers for Designers (2026)
  4. 39

    Connectors

    One-click MCP: connect email, calendar, docs and more so Claude can read and act in them.

  5. 40

    Skills

    Folders of instructions (and scripts) that teach Claude one job; loaded only when needed.

    Deep dive: Claude Skills for Designers
  6. 41

    Plugins

    One install that bundles skills, commands, agents, hooks and connectors.

  7. 42

    Claude in Chrome

    An extension that lets Claude navigate, click and fill forms in your own browser.

  8. 43

    Computer use

    Claude controls the mouse and keyboard from screenshots, so it can use apps with no API.

  9. 44

    Claude in Slack

    Tag Claude in a thread and it reads the context and helps without anyone switching apps.

05Claude Code17 terms

  1. 45

    Claude Code

    Claude as an agent on your computer: reads files, edits code, runs commands and tests.

    Deep dive: How I Built an iOS App With Claude Code as a Designer (and Shipped It)
  2. 46

    Where it runs

    Terminal, the desktop app's Code tab, the web, VS Code and JetBrains. Same agent.

  3. 47

    CLAUDE.md

    A project file Claude reads every session: how to run, test, your conventions, what not to touch.

    Deep dive: How to Write an AGENTS.md File for Design Projects
  4. 48

    Permission modes

    How much Claude can do without asking, from asking every time to bypass in a sandbox.

  5. 49

    Plan mode

    Read-only: Claude explores and writes a plan, and changes nothing until you approve.

  6. 50

    Slash commands

    Shortcuts typed with /. Some built in, and you can write your own.

  7. 51

    Hooks

    Your scripts that run at set moments, every single time, e.g. format code or block commands.

  8. 52

    Subagents

    Helpers with their own fresh context window that do a focused job and report back.

  9. 53

    Sessions and worktrees

    Run several sessions at once; worktrees give each its own copy of the repo on its own branch.

  10. 54

    Background and cloud sessions

    Sessions that keep working in the cloud while your laptop is closed; check in from your phone.

  11. 55

    Routines and loops

    Routines run tasks on a schedule; the loop command reruns a prompt on an interval.

  12. 56

    Compaction

    When the context window fills, Claude summarizes older history and keeps going.

  13. 57

    Output styles

    How Claude Code narrates its work: concise, explanatory, or a learning mode.

  14. 58

    Mods

    Small plugins that change the tool itself: status lines, panels, banners, notifications.

  15. 59

    Workflows

    Scripts that coordinate many agents at once for big, thorough jobs.

  16. 60

    Code review

    Claude checks a diff for bugs at the depth you choose; ultra runs a deep multi-agent review.

  17. 61

    Fast mode

    The same top model with faster output, for when waiting is the bottleneck.

06Building with Claude7 terms

  1. 62

    The API

    How developers send messages to Claude from their own code (the Messages API).

  2. 63

    Pricing per token

    You pay per token in and out; output and bigger models cost more.

  3. 64

    Prompt caching

    Reuses the processed version of a repeated prompt, so requests are faster and much cheaper.

  4. 65

    Batch processing

    Send a big pile of requests at once and get them back later at a lower price.

  5. 66

    Agent SDK

    The engine behind Claude Code, for developers building their own agents.

  6. 67

    Managed Agents

    Anthropic hosts the agent and its sandbox, so you run agents without managing servers.

  7. 68

    Evals

    Test cases that measure how well your prompt or agent performs, so you know a change helped.

07Keeping it safe7 terms

  1. 69

    Alignment

    Making sure AI does what people intend and stays honest and safe as it gets more capable.

  2. 70

    Prompt injection

    Hidden instructions in content Claude reads, like a web page or email, trying to hijack it.

  3. 71

    Jailbreaks

    Deliberate attempts to trick a model into ignoring its rules.

  4. 72

    Interpretability

    Looking inside a model to understand how it thinks. Neuroscience for AI.

  5. 73

    Responsible Scaling Policy

    Anthropic's commitment that stronger safety measures must exist before more capable models.

  6. 74

    Model welfare

    Research into whether models like Claude could have experiences that matter.

  7. 75

    Usage policy

    The rules for what Claude can and can't be used for.

Common questions

What is a context window in Claude?

The context window is everything Claude can see at once: your messages, its replies, any files you shared and the instructions it was given. It works like working memory. Claude's window holds hundreds of thousands of tokens, enough for whole codebases or several books, but it is finite, and anything outside it isn't there.

What is the difference between MCP, connectors, skills and plugins?

MCP, the Model Context Protocol, is an open standard Anthropic created for connecting AI to tools and data. Connectors are MCP made one-click inside the Claude apps. Skills are folders of instructions, sometimes with scripts or templates, that teach Claude one specific job, and plugins bundle skills, commands, agents, hooks and connectors into a single install.

What are Claude's models: Haiku, Sonnet, Opus and Fable?

Claude is a family of models. Haiku is the small, fast one, Sonnet is the balanced everyday model, Opus is for harder problems, and Fable sits at the top end for the most demanding work. Bigger models are smarter, slower and cost more per token, so picking one is a tradeoff.

What is Claude Code and where does it run?

Claude Code is Claude as a full agent working on your computer. It reads your files, writes and edits code, runs commands and tests, and fixes what breaks. You can use it in the terminal, in the desktop app's Code tab, on the web, and inside editors like VS Code and JetBrains.

What is CLAUDE.md?

CLAUDE.md is a file in your project that Claude reads at the start of every session. It holds what a new teammate would need: how to run and test the app, your conventions, and what never to touch. When you catch yourself correcting Claude about the same thing twice, add a line to it.

What is the difference between hooks and CLAUDE.md instructions?

Instructions in CLAUDE.md are guidance Claude follows most of the time. Hooks are your own scripts that run at set moments, like before Claude edits a file, after it runs a command or when it finishes, and they run every single time. Use hooks for things that must always happen, like auto-formatting code or blocking dangerous commands.

What is prompt injection?

Prompt injection is when text Claude reads, like a web page, an email or a file, contains hidden instructions trying to hijack it. Claude is trained to treat that content as data rather than commands. It is also why agents ask before sensitive actions and why you shouldn't give an agent more access than a task needs.

What is an AI agent?

An agent is tool use in a loop. It is given a goal, decides what to do, uses a tool, looks at what happened and decides the next step, over and over until the job is done. Ask a chatbot to fix a bug and it suggests a fix. Ask an agent and it changes the code, runs the tests and fixes what fails.

Definitions are one-line summaries written for the video, so they trade detail for speed. The video walks through each one with examples. More tutorials are on the videos page.