AI, Toilville, and Adaptability with Peter Swimm

Ardan Labs Podcast

Bill Kennedy

Ardanlabs, Golang, Computer Science, Technology, Tech, Kubernetes, Go Time Podcast, Ardan Labs, Docker, Tech Careers, Education, Bill Kennedy, Engineering

5 • 7 Ratings

🗓️ 17 December 2025

⏱️ 89 minutes

🔗️ Recording | iTunes | RSS

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Summary

In this episode of the Ardan Labs Podcast, Bill Kennedy talks with Peter Swimm, founder of Toilville, about the future of AI and workplace automation. Peter shares insights from his long career in technology—from Microsoft to building large-scale conversational AI systems—and discusses the growing need for strong governance around AI usage. They explore privacy and IP concerns, the pitfalls of “vibe coding,” and why documentation and trust logs are essential for safe and effective AI adoption...

Transcript

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0:00.0	Welcome to the R Labs podcast.
0:19.8	Our special guest today is Peter Swim. Peter, how's it going, man?
0:25.1	It's going pretty good. How are you?
0:27.1	We're good. I'm in Miami. I'm not allowed to complain when it's almost November and I'm in Miami.
0:32.1	I am just outside beautiful sunny, Seattle, Washington.
0:36.4	I love Seattle. I keep telling my wife, we have to go there. I love Seattle.
0:37.7	I keep telling my wife, we have to go there.
0:39.9	I haven't been there in so long,
0:41.8	and I've got great friends over there.
0:44.2	I'm kind of bummed out, man.
0:45.8	Peter, give everybody,
0:47.7	don't go too far into any timeline
0:50.9	because this podcast is about putting you into the time machine,
0:54.0	and we're going to
0:54.5	sort of discuss how you got here. But give everybody the two-minute spiel on what you're doing today.
1:00.4	Sure. I am the founder of a consultancy called Toyaville. And Toyaville is kind of around all things
1:07.8	conversational AI, conversation UX, so includes things like chatbots and
1:11.9	LOMs and workplace automation. And I've been in the industry for 30 years. And I try to help
1:19.1	small businesses and business owners do workplace automation that doesn't rob them of their
1:25.8	creative excellence and their competitive advantages.
1:30.4	Nice. So what I'm kind of curious, you're doing all like, so you're basically trying to
1:35.4	leverage AI reasoning models to figure out what steps need to sort of get done. And then
	...

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