Exploring meaningful work, deep connections, and happy lives.
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