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In-Ear Insights: What Are AI Agents?
In this episode of In-Ear Insights, the Trust Insights podcast, Katie and Chris answer the key question: What are AI agents? They discuss the surprising flaw in agentic AI that everyone is overlooking. You’ll unravel the mystery of what truly defines an AI agent and how it differs from simple automation. You’ll learn why blindly trusting AI agents can lead to unexpected problems and wasted resources in your business. You’ll discover a practical framework to determine when an AI agent is genuinely needed and when simpler solutions will deliver better results. Tune in to find out if agentic AI is right for you and your business!
Watch the video here:
Can’t see anything? Watch it on YouTube here.
Listen to the audio here:
https://traffic.libsyn.com/inearinsights/tipodcast-ai-agents-101.mp3
Download the MP3 audio here.
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Machine-Generated Transcript
What follows is an AI-generated transcript. The transcript may contain errors and is not a substitute for listening to the episode.
Christopher S. Penn – 00:00
In this week’s In Ear Insights, I wanted to talk today about the major flaw in agentic AI. Katie, you had some feedback for me?
Katie Robbert – 00:10
Yeah, no, I think that’s a great topic. Once we actually set the baseline of what the heck is an AI agent? I’m around the terminology all the time. I see the work that you’re doing, I see the work that, you know, our peers are doing. But if I was asked like on a panel or you know, just, you know, by someone in our community to describe an AI agent, I don’t know that I could confidently say what an AI agent is specifically as compared to anything else that we’re doing. Anything else, like a custom model or a chatbot or any. Anything else. And so I think my first question is what is an AI agent specifically? And how is it different from all of the other things that we’ve been doing with generative AI?
Christopher S. Penn – 01:04
This is a, a much more complicated question than it sounds. And the reason for that is because every vendor is trying to put their own spin on the term. And as a result you have like 28 conflicting drift definitions.
Katie Robbert – 01:19
Okay, so it’s not just me. That’s fantastic.
Christopher S. Penn – 01:22
It is not just you. And there’s a lot of people making a lot of noise and throwing a lot of confusing stuff in the air. And you’re like, will you all just settle down? You all need to calm down. Here’s the easiest definition that is completely unhelpful. An AI agent is an agent that uses AI. And.
Katie Robbert – 01:43
But yeah, that is completely unhelpful. The question is, what is an agent?
Christopher S. Penn – 01:50
That is the question.
Katie Robbert – 01:51
Okay?
Christopher S. Penn – 01:52
Agents have been around since, for the last three decades. If you’ve ever installed like Norton antivirus on a computer, you’ll see a little antivirus agent running in your processes list. And it is that agent is in the background doing its thing, scann
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By Trust Insights
5
99 ratings
In this episode of In-Ear Insights, the Trust Insights podcast, Katie and Chris answer the key question: What are AI agents? They discuss the surprising flaw in agentic AI that everyone is overlooking. You’ll unravel the mystery of what truly defines an AI agent and how it differs from simple automation. You’ll learn why blindly trusting AI agents can lead to unexpected problems and wasted resources in your business. You’ll discover a practical framework to determine when an AI agent is genuinely needed and when simpler solutions will deliver better results. Tune in to find out if agentic AI is right for you and your business!
Watch the video here:
Can’t see anything? Watch it on YouTube here.
Listen to the audio here:
https://traffic.libsyn.com/inearinsights/tipodcast-ai-agents-101.mp3
Download the MP3 audio here.
[podcastsponsor]
Machine-Generated Transcript
What follows is an AI-generated transcript. The transcript may contain errors and is not a substitute for listening to the episode.
Christopher S. Penn – 00:00
In this week’s In Ear Insights, I wanted to talk today about the major flaw in agentic AI. Katie, you had some feedback for me?
Katie Robbert – 00:10
Yeah, no, I think that’s a great topic. Once we actually set the baseline of what the heck is an AI agent? I’m around the terminology all the time. I see the work that you’re doing, I see the work that, you know, our peers are doing. But if I was asked like on a panel or you know, just, you know, by someone in our community to describe an AI agent, I don’t know that I could confidently say what an AI agent is specifically as compared to anything else that we’re doing. Anything else, like a custom model or a chatbot or any. Anything else. And so I think my first question is what is an AI agent specifically? And how is it different from all of the other things that we’ve been doing with generative AI?
Christopher S. Penn – 01:04
This is a, a much more complicated question than it sounds. And the reason for that is because every vendor is trying to put their own spin on the term. And as a result you have like 28 conflicting drift definitions.
Katie Robbert – 01:19
Okay, so it’s not just me. That’s fantastic.
Christopher S. Penn – 01:22
It is not just you. And there’s a lot of people making a lot of noise and throwing a lot of confusing stuff in the air. And you’re like, will you all just settle down? You all need to calm down. Here’s the easiest definition that is completely unhelpful. An AI agent is an agent that uses AI. And.
Katie Robbert – 01:43
But yeah, that is completely unhelpful. The question is, what is an agent?
Christopher S. Penn – 01:50
That is the question.
Katie Robbert – 01:51
Okay?
Christopher S. Penn – 01:52
Agents have been around since, for the last three decades. If you’ve ever installed like Norton antivirus on a computer, you’ll see a little antivirus agent running in your processes list. And it is that agent is in the background doing its thing, scann
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