Daniel Whitenack
speaker
2,536 appearances
14 recordings
1 series
first heard May 2026
last heard 10 Sep
Daniel Whitenack’s voice in public audio — every appearance, attributed to the second.
Trend
recordings per month · last 12 monthsRecordings per month over the last 12 months — 14 in all, peaking in Jul 2026 with 4.
Appearances
tools and take action and maintain state.
podcast-host
And and we saw with, for example, when we looked into, you know, things that people were using all the time, like Claude Code and that sort of thing, like the importance of that agent harness, which is also, of course, like a a big part of that Hermes agent pro uh project.
podcast-host
I'm wondering if you could kind of help help me and our listeners understand
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Like, what is the importance of the model now in these types of agentic systems?
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Now
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And how and how does that shift in in this world where uh you know, is is the is the important part and a lot of the you know potential value, IP, however you see that in this kind of harness, and the model is just sort of something you can swap in and out, or what what is the importance?
podcast-host
Well, Jeff, I I love that analogy uh uh about the brain and the body and the the harness and the model.
podcast-host
I think that will be really helpful for people.
podcast-host
I'm wondering now i in terms of Hermes agent specifically, uh could could you kind of I guess walk us through some of the agentic or automation stuff that you were seeing kind of out there as as you all
podcast-host
we're starting to starting to develop Hermes Agent and some of the like key opinionated choices that you made about what you want Hermes Agent to be uniquely uh in in the midst of kind of all of these other other things out there.
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Yep.
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If you've been listening to the show over the past few months, you realize just how transformative Agentic AI is, whether that's Claude Code or Hermes Agent or custom built software that you're deploying for operational efficiencies or as new products to your customers.
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Regardless of your maturity now, this is the world that we're headed towards, this agencai world.
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There's a lot of security and governance teams that aren't letting these agents go into production because of risks related to agency and autonomy, and how do you take care of things like prompt injections or insecure tool usage?
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There's a lot to take care of.
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And that's why I'm personally spending my time outside of the show working with an amazing team of AI engineers to build prediction.
podcast-host
Prediction Guard.
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Prediction Guard is an AI control plane that you run in your own infrastructure behind your firewall.
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Developers can build on top of this control plane using everything that they want to use, open AI and anthropic compatible APIs, MCP servers, frameworks like Langchain.
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But all of this is plugged into a built-in governance harness that enforces your organization's AI.
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