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Lesson 23 of 37  —  Module 6: Advanced Claude Code 62%
Module 6: Advanced Claude Code  Advanced

Getting Started with Agentic Workflows

Understand what makes agentic AI different from traditional automation and why that difference changes everything about how you build.

The shift you need to understand

Traditional automation is instruction-based. You map every step. You define every condition. You wire every node by hand. When something unexpected happens, the workflow breaks.

Agentic AI is outcome-based. You describe what you want to achieve. The agent figures out how to get there. When something unexpected happens, the agent adapts.

This is not a small difference. It is a fundamental shift in how automation works.


What agentic actually means

An agentic system can:

  • Perceive -- read files, browse the web, check APIs, understand context
  • Decide -- evaluate options, handle edge cases, choose the right tool
  • Act -- write code, edit files, run commands, post to services
  • Recover -- notice when something goes wrong and fix it without you asking

Claude Code is a fully agentic system. When you describe a workflow that monitors a YouTube channel every 8 hours and sends highlights when a new video drops, Claude Code figures out the right API to use, writes the code, handles edge cases, and fixes errors along the way -- without step-by-step instructions from you.


The three waves of AI automation

Wave 1 (2022): ChatGPT chatbots. AI that answered questions. Useful but passive.

Wave 2 (2023-2024): n8n, Make.com, Zapier. You could connect services and automate sequences -- but you still wired every connection by hand.

Wave 3 (2025 onward): Agentic workflows. Describe the outcome in natural language. The agent handles implementation, connects to tools, writes code, and fixes its own errors.

Each wave did not eliminate the previous one. n8n is still valuable. But each wave made builders dramatically more productive.


What you need before your first workflow

  1. Claude Code installed -- terminal, VS Code extension, or desktop app (Module 3 covers setup)
  2. A CLAUDE.md file -- your persistent context file that Claude reads every session (Lesson 2 covers this)
  3. A clear outcome in mind -- not a list of steps, but a specific result you want to achieve

The most common beginner mistake: trying to describe every step. Describe the destination instead. Let Claude figure out the route.


Good first workflows to attempt

  • Check my email every morning and give me a summary of what needs attention
  • Every time I drop a file in this folder, format it and move it to the right place
  • Watch this RSS feed and post highlights to Slack when there is new content

Avoid vague starting points. Pick one specific outcome. Describe it clearly. Start there.


Watch the originals

  • How I Would Teach a 10 Year Old Claude Code -- youtube.com/@nateherk -- 28 min
  • From Zero to First Agentic AI Workflow -- youtube.com/@nateherk -- 26 min

Next lesson: The 5 core Claude Code features that power users rely on -- and how to set them up in under an hour.

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