#27 - How to Delegate Your First Task to AI (Claude Code for Beginners)

Most people use AI like a chatbot. Connor explains how to use it like an employee.

In this episode, we break down how non-technical founders, marketers, and business owners can start using Claude Code to delegate real tasks, build simple tools, and turn ideas into working outputs without needing to be an engineer.

We talk about:

• Why most people get stuck when moving from ChatGPT to agentic AI tools

• How to think in “AI-shaped” problems inside your business

• The easiest way to give Claude Code the right context and data

• Why Markdown, folders, and simple workflows matter more than coding knowledge

• How to use Claude Code to analyze content, generate ideas, and build dashboards

• Why the best users of these tools may not be engineers at all

If you want to stop just chatting with AI and start delegating real work to it, this episode is for you.

Thanks to AppSumo for sponsoring this video. For the best deals on ai tools checkout: https://appsumo.8odi.net/eKvbyg

⏱ Timestamps:

00:00 Intro: Why Connor is the go-to for AI and Claude Code

00:25 What viewers will learn: delegate your first task to an AI employee

00:58 Where most people get stuck with Claude Code

02:28 Step zero: changing how you think about problems

03:20 Think in code-shaped problems

03:52 Real examples of what Claude Code can do

04:36 How to get started and provide the right context

05:02 Terminal basics and Claude Code setup

05:21 Turning a podcast library into a local document repository

06:29 Running Claude Code like a chatbot

07:05 Using a dataset to analyze writing style and themes

07:49 Prompt example: identify themes, target audience, and signature traits

08:26 Permission requests and how to handle them safely

09:37 Claude Code vs ChatGPT

10:07 More computer access and workflow possibilities

10:37 OpenClaw vs Claude Code

11:50 Why Claude Code is more beginner-friendly than people think

12:48 Real business use case: reviewing customer transcripts at scale

14:15 What Claude learned from Connor’s writing

15:18 Building a quick dashboard from your content

16:05 Turning your content into insights and actions

16:54 Using AI for keyword research and content ideas

17:51 Live dashboard output and writing analytics

18:22 How dashboards can become ongoing workflows

18:47 Productionizing the dashboard

19:27 Why non-engineers may be best positioned to use these tools

20:33 Best practices for getting started

21:08 Learn Markdown first

22:50 Where to store context and project files

23:56 Why Markdown files beat Google Docs for this workflow

24:13 Final advice: Just start and let AI help when you get stuck

🔗 Connect with Mitchell:

💻 Website: ⁠https://mitchelllandon.com/⁠

📩 3-Minute Newsletter:⁠ ⁠https://making-connections.beehiiv.com/subscribe⁠⁠

👥 LinkedIn:⁠ ⁠https://www.linkedin.com/in/mitchelllandoncohen/⁠⁠

🐦 X:⁠ ⁠https://x.com/MitchellLandon⁠⁠

📸 IG:⁠ ⁠https://www.instagram.com/mitchelllandon/⁠ ⁠

🎥 YT:⁠ ⁠https://www.youtube.com/@mitchellcohen⁠ ⁠

🔗 Connect with Connor Daly:

💻 Substack Newsletter: https://connordaly.substack.com/

👥 LinkedIn: / connor-daly-0124375b

📸 IG:⁠ / friendship.engineer

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