How does AI fit into the everyday work of running a thrift store? Jaxon and Derek sit down with Phil Dana to talk about building a family business and using AI as an assistant while keeping the decisions in human hands.

Phil shares how he uses AI to refine social posts, find the right words for a negative review, and create a clothing-brand reference sheet for his staff. The conversation also covers employee scheduling, ideas for inventory and fashion-trend help, working with family, and making time for life outside the store.

Some examples are already part of Phil’s routine; others are possibilities the group explores together.

Watch the full video: Built on a Tuesday — Episode 3

Follow Built on a Tuesday for conversations about practical AI in real work and everyday life.

Why does AI feel exciting to some people and unsettling to others? In episode 2 of built on a tuesday, Jaxon and Derek talk about fears around AI, what it could mean for jobs, and how using it in everyday work changes their confidence.

We share examples of putting AI assistants to work, compare running tools locally with using the cloud, and discuss where human judgment still matters. We also finish with thoughts on Apple, Siri, and what comes next.

In this episode:

• AI fears and the future of work
• Practical uses for AI assistants
• Local models, cloud tools, and cost
• Confidence, limitations, and human judgment
• Apple, Siri, and what comes next

Follow built on a tuesday for more conversations about building and working with AI. What has made you more confident—or more cautious—about AI? Tell us in the comments.

What happens when you start using AI for the work you actually need to get done?

In our first episode, Jaxon and Derek talk about building apps, putting an AI assistant to work on email, learning when to check its answers, and using it to help write a book. We share what has helped, what still needs a human eye, and what we are trying next.

Know someone who has quietly built something useful with AI? Tell us in the comments. We would love to hear their story.

00:00 AI beyond the chat box
00:19 It takes practice
02:29 What can you actually do?
12:09 Build, test, try again
17:04 An AI assistant for everyday work
23:27 Trust, mistakes, and checking the draft
28:53 Writing a book in your own voice
31:03 See you next Tuesday