Try for free
Stacking Slabs
Stacking Slabs

Built for the Hobby #6: AI for Hobby Operators

26 February 2026 44:17 Brett McGrath

Listen to episode

About this episode

AI is moving fast. Most hobby businesses are not.


In Episode 6 of Built for the Hobby, Brett sits down with Scott Lock, CEO and Co-Founder of InfernoRed 
Technology, to talk about what AI means for hobby operators in 2026.


This is not hype.

This is practical.

Scott breaks down:

  • Why most businesses are underusing AI
  • Where small hobby shops can remove friction today
  • How automation can protect your margins
  • Why waiting is the riskiest strategy
  • How to think about AI without chasing shiny objects

If you run a $500K shop or a $5M operation, this conversation is about you.


AI will not replace your business.

But someone who learns how to use it might.

If you are AI-curious but stuck using ChatGPT like Google, this episode gives you a clear next step.

Built for the Hobby is about one thing: helping operators think better and build smarter.


Check out the awesome software that InfernoRed Technology can build for you.

Get your free copy of Collecting For Keeps: Finding Meaning In A Hobby Built On Hype

Start your 7 day free trial of Stacking Slabs Patreon Today

[Distributed on Sunday] Sign up for the Stacking Slabs Weekly Rip Newsletter using this link

Follow Stacking Slabs: | Twitter | Instagram | Facebook | Tiktok

★ Support this podcast on Patreon ★

More AI podcast episodes

Browse all →

Want to find AI jobs?

Join thousands of AI professionals finding their next opportunity

We respect your inbox. Unsubscribe at any time.

© 2026 Stacking Slabs. All rights reserved.

Common Questions

Frequently asked questions

Quick answers about how DevFound's AI matching, resumes, and referrals work.

DevFound's AI Copilot ingests your profile, goals, and live job data to deliver curated matches in seconds. Every match includes a resume variant, suggested referrals, and interview prep so you can act immediately. The more feedback you provide, the sharper the Copilot becomes.

AI-led job searches shrink the hours spent sifting through boards and formatting resumes. DevFound pairs automation with your personal outreach, so you reserve energy for interviews and negotiation. Traditional networking still matters, but AI gives you a lift before you even send a message.

Modern AI roles expect comfort with production-grade code, data fluency, and practical ML tooling. The strongest candidates pair deep technical chops with storytelling—translating model impact to product, GTM, and exec partners. Continuous learning keeps you ahead as stacks evolve.

DevFound rewards active seekers. Keep your profile fresh, respond to match quality prompts, and enable alerts so you never miss a role. The AI prioritizes companies and teams that align with your feedback, accelerating both introductions and interview invites.

High-density tech hubs continue to host the deepest AI talent pools, yet distributed teams are catching up fast. Use DevFound filters to hone in on onsite, hybrid, or fully remote roles and watch openings expand across time zones.

DevFound aggregates thousands of remote AI openings and flags the nuances—core hours, async culture, and visa needs—up front. The Copilot also recommends how to position your distributed work experience so hiring managers know you can thrive on a remote team.

Still have questions?

Contact Support