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Master Claude

Claude Chat: Fundamentals Sample Lesson

How Claude thinks

How Claude thinks — Quick Check

Prompt anatomy — Quick Check

Controlling output format

Controlling output format — Quick Check

Iterating effectively

Iterating effectively — Quick Check

Prompt rewrite exercise

Prompt rewrite exercise — Quick Check

Claude Chat: Intermediate

System prompts & personas

System prompts & personas — Quick Check

Few-shot prompting

Few-shot prompting — Quick Check

Chain-of-thought prompting

Chain-of-thought prompting — Quick Check

XML tags for structured output

XML tags for structured output — Quick Check

Working with documents

Working with documents — Quick Check

Skills & custom instructions

Skills & custom instructions — Quick Check

Claude Chat: Applied Projects

Client email workflow

Client email workflow — Quick Check

Research & summarization

Research & summarization — Quick Check

SOPs & checklists system

SOPs & checklists system — Quick Check

Multi-perspective prompting

Multi-perspective prompting — Quick Check

Claude Code: Foundations

What Claude Code is

What Claude Code is — Quick Check

Project context & CLAUDE.md

Project context & CLAUDE.md — Quick Check

Writing code with Claude

Writing code with Claude — Quick Check

Debugging with Claude

Debugging with Claude — Quick Check

Working with git

Working with git — Quick Check

Claude Code: Building Projects

Scaffold a new app

Scaffold a new app — Quick Check

Data scripts & ETL

Data scripts & ETL — Quick Check

API integrations

API integrations — Quick Check

Front-end components

Front-end components — Quick Check

Code review & security

Code review & security — Quick Check

Claude Code: Advanced

CLAUDE.md mastery

CLAUDE.md mastery — Quick Check

MCP in Claude Code

MCP in Claude Code — Quick Check

Testing strategies

Testing strategies — Quick Check

Agents & Cowork: How Agents Work

What makes an agent

What makes an agent — Quick Check

Tools, actions & environment

Tools, actions & environment — Quick Check

MCP — the protocol

MCP — the protocol — Quick Check

Trust & human-in-the-loop

Trust & human-in-the-loop — Quick Check

Planning long tasks

Planning long tasks — Quick Check

Agents & Cowork: Connecting Tools

Gmail agent — Quick Check

Calendar agent — Quick Check

Google Drive agent

Google Drive agent — Quick Check

Web agent — Quick Check

Chaining tools — Quick Check

Build a custom MCP server

Build a custom MCP server — Quick Check

Agents & Cowork: Claude Cowork

What Cowork is — Quick Check

Delegating your first task

Delegating your first task — Quick Check

Automating recurring workflows

Automating recurring workflows — Quick Check

Capstone — build your agent workflow

Capstone — build your agent workflow — Quick Check

What makes an agent — Quick Check

Master Claude
Agents & Cowork: How Agents Work
What makes an agent
What makes an agent — Quick Check

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Question 1 of 3

1. Question

The core difference between a chatbot and an agent is:

The underlying model
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The agent loop — agents observe, plan, act, observe results, and repeat until a goal is complete
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How fast they respond
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The size of the context window
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Question 2 of 3

2. Question

What gives an agent its capabilities beyond the base model?

A bigger context window
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Tools — search, write, communicate, execute, and navigate capabilities that let the agent act on the world
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Better training
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More memory
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Question 3 of 3

3. Question

An AI agent is better than traditional automation when:

Speed is critical
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The task involves variation, judgment, and unexpected inputs that rigid scripts can't handle
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The task is perfectly predictable
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Cost is the only concern
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