From AGENTS.md to Enterprise Deployment
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What is the Practical AI Podcast and who are the hosts?
Welcome to the Practical AI Podcast, where we break down the real-world applications of artificial intelligence and how it's shaping the way we live, work, and create. Our goal is to help make AI technology practical, productive, and accessible to everyone. Whether you're a developer, business leader, or just curious about the tech behind the buzz, you're in the right place. Be sure to connect with us on LinkedIn, X, or Blue Sky to stay up to date with episode drops, behind-the-scenes content, and AI insights. You can learn more at practicalai.fm. Now, on to the show.
Welcome to another episode of the Practical AI Podcast. This is Daniel Whitenack. I am CEO at Prediction Guard, and I'm joined as always by my co-host Chris Benson, who is a principal AI and autonomy research engineer. How are you doing, Chris? Hey, doing great today. How's it going? It's it's going great. And I and I know this is going to be a great conversation for a few different reasons today. One of those Being our our guest is one of the speakers at the upcoming Midwest AI Summit, which is gonna be amazing. There's gonna be a a bunch of amazing speakers there. I'm gonna do a bit of MCing, see if I don't mess that up. Would encourage our encourage our listeners to check that out October 15th in Indianapolis.
You can uh get 20% off with practical AI 20. So check that out. So um amazing speaker. Gonna be at the Midwest AI Summit, also a fellow podcaster, which is is great. Um, one of the hosts of Cloud Foundry Weekly and uh a tech marketing uh whiz at Broadcom Tanzu VMware. So welcome, Nick. Great to have you.
Uh, thanks for having me. Great to be on the show. Yeah. Excited. Also excited to see y'all in person in Indianapolis.
Yeah, it's gonna be fun. We're representing the good good representation of the Silicon Prairie here. I I like it. Um so uh yeah, N Nick, um I I know you're gonna be talking. Well, one of the things I thought was cool about your talk at the Midwest AI Summit is you bring in this concept of taking like agents.md and shipping that to a production environment. Environment where you run, you know, an actual agent in an quote enterprise environment, which seems to be really fascinating. We recently had on uh someone from the Agentic AI Foundation who is kind of stewarding the model context protocol and agents.md and and those sorts of things. So very relevant kind of carry-on from that conversation. conversation.
But I'm wondering as we set that up. What what exactly does it mean to be operating in an enterprise environment? So the customers that you're working with, that your kind of day-to-day. What are what makes an enterprise environment an enterprise environment? What are some of the concerns or characteristics of that type of environment? And I know you you're always experimenting. You do a lot of home lab stuff as well. So always uh have a whole range of experience in working in different sorts of environments. So yeah, if you could just help us understand from a general perspective. perspective. What what what does that mean um when you say kind of enterprise? Yeah.
Right. So yeah, if we think about the enterprise, we think about, you know, a few things. Uh one, let's just assume you're gonna have not internet uh limited or no internet access. And you know, I've been uh at uh VM Orteins there for about five years. Uh and before that I was at a one of these large enterprises for about fourteen years. So when we had vendors come in, it would always be like they would always assume that we could just go to the internet. And it was always like, well, try again, 'cause that's not gonna work here. So that's kind of always like the biggest hurdle where Um, you're gonna be uh regulated and or, you know, you know, you won't you're not gonna you're what you can do at home is not gonna be what you can do uh at work, so to speak.
So you're gonna be highly regulated. You're gonna have to deal with uh, you know, potential like, you know, PCI or SOX compliance or HIPAA or uh FIPS or, you know, and I could probably go on and on about all the different compliance tiers that you'd have to deal with.
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Chapters
8 chapters
1
What is the Practical AI Podcast and who are the hosts?
0:02–6:07
2
What defines an enterprise environment for AI agents and why does it matter?
6:07–13:21
3
How do VMware Tanzu’s build packs and the Tainzu agent build pack simplify agent deployment?
13:21–20:29
4
What security, compliance, and sandboxing challenges arise when running agents in regulated enterprises?
20:29–27:19
5
How can organizations scale multi‑agent workloads and manage shared memory across teams?
27:19–33:37
6
What is the MCP gateway and how does it help control and audit agent interactions?
33:37–39:22
7
What future trends should enterprises watch for in AI‑agent development and adoption?
39:22–45:39
8
How can teams collaborate and adopt AI agents without creating silos or security risks?
45:39–48:46