Everyday AI Podcast – An AI and ChatGPT Podcast - EP 582: No, that’s not an AI Agent. Cutting through the Agentic AI marketing hype

Episode Date: August 5, 2025

Can we have a real talk about AI agents?A new Gartner study showed that more than 95% of companies pushing AI agents..... aren't. Vendors, startups, Saas companies pivoting and savvy marketers are shoving Agents down our throats like hot food in a buffet line. But guess what? Most of it is shin marketing. Or lies. Want to know the real landscape around AI agents, minus the B.S.? Good. Then join us as we cut through the fluff. Newsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageJoin the discussion: Thoughts on this? Join the convo and connect with other AI leaders on LinkedIn.Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: [e-mail] with Jordan on LinkedInTopics Covered in This Episode:AI Agent Hype Versus RealityGartner Study Exposes Agent WashingDefining True AI Agents vs WorkflowsPrevalence of Fake AI Agents Market$4 Billion AI Agent Investment RisksMajor Tech Companies’ AI Agent StrategiesAgentic AI Adoption Failure RatesNarrow vs General AI Agent Use CasesSpotting Fake Agents in Enterprise SoftwareThe Importance of AI Literacy for AgentsTimestamps:00:00 "AI Insights for Business Leaders"05:51 Future AI Agents: Definition and Potential06:58 "AI Workflow vs. True Agent"11:34 "Agent Tech's Uncertain Future"14:53 AI Dominates Decision-Making by 202818:15 "Beware AI Agents Hype"24:18 The Chaos of Undefined AI Agents25:31 "Agentic AI FOMO in Business"31:16 AI Training Essential for Teams32:12 Debunking AI Agent MythsKeywords:AI agent, AI agents, agentic AI, agentic AI marketing, AI workflow, pre built automation, chatbot, automation tools, robotics process automation, computer vision, large language model, agent washing, Gartner study, generative AI, AI-powered workflow, agent capabilities, virtual browser, virtual desktop, command line tool, Terminal, AI powered marketing automation, Microsoft Copilot Studio, Google agent space, OpenAI agent mode, Anthropic Claude, Meta superintelligence lab, Salesforce agent force, agentic model, O3, Gemini 2.5 Pro, startup AI agents, narrow AI agent, general AI agent, autonomous agentic AI, enterprise software, investment scam, business decision makers, C-suite, AI strategy, technical reality vs marketing hype, technology adoption failure, FOMO AI investmSend Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info) Start Here ▶️Not sure where to start when it comes to AI? Start with our Start Here Series. You can listen to the first drop -- Episode 691 -- or get free access to our Inner Cricle community and all episodes: StartHereSeries.com Also, here's a link to the entire series on a Spotify playlist. 

This is the Everyday AI Show, the Everyday Podcast where we simplify AI and bring its power to your fingertips. Listen daily for practical advice to boost your career, business, and everyday life. Meet Firefly AI Assistant, now live and Adobe Firefly, the All In One Creative AI Studio. Just describe what you want to create and the assistant handles the rest, orchestrating multi-step workflows across Photoshop, Premiere Express, and more in one conversational interface. You direct the outcome. The assistant accelerates execution. There's a good chance that that agent you're using right now isn't actually an agent.

That's because there's thousands of vendors, software providers, marketers, et cetera, out there, just sprinkling a little AI on anything and then calling it an agent. It's getting so bad that I'm literally doing a hot take two, episode just to say, no, that's not an agent. So on today's show, we're going to be cutting through the agentic AI marketing hype in telling you what actually is an agent and what isn't because I'm going to go ahead and spoil it for you. Yeah, there's a chance that the agent that your company just invested in or is looking

into is literally nothing more than a marketing automation workflow with maybe a little bit of AI sprinkled in. I'm excited for this one. I hope you are too. Welcome to Everyday AI. What's going on, y'all? My name's Jordan. Welcome to this daily live stream podcast and free daily newsletter,

helping everyday business leaders like you and me, cut through the noise, understand what's happening in the world of AI, and that leverage all that good information, the real information, to grow our companies and our careers. So if that's what you're trying to do, it starts here with the unedited, unscripted live stream podcast. But where you take it to the next level is our website at your website at your everyday AI.com.

There, you can sign up for our free daily newsletter. We're going to be recapping the highlights from today's show and everything that you need to know, as well as giving you everything you need to know that's happening today in the world of AI. So if you want the AI news, make sure to go check that out in today's newsletter. But let me just get straight into the heart of today's show. So much of what's being marketed and advertised and talked about right now in the AI world is obviously agents.

But most of them are lies. Most of them are not actually agents. So here's the facts and the truth about AI agents right now in 2025. 95% of companies are claiming to have an AI agent and they aren't. They're lying to you. And I obviously have the receipts to show you that. Gartner is one of the largest research organizations in the world. I've actually advised them a little bit on agenic AI in their new report,

which we're going to go over a little bit today, just exposed that only 130 vendors out of thousands that are saying they have agents actually have agents. Yeah, more than 95% don't. Right now we're witnessing, I think, the biggest tech marketing scam since the dot-com bubble, maybe even more so than that. We'll see because it's getting absolutely out of hand. And right now, this is a $7 billion market that is built on chatbots, an automobes, an automation scripts and essentially robotics process automation with a little bit of computer vision

powered by a large language model, which is not an agent, y'all. Yeah, you can tell. It's hot take Tuesday. So here's what we're going to be going over on today's show. I'm going to show you how 95% of companies are actually saying they have agents and they don't. And we're going to talk about that Gartner study that exposed a $4 billion investment scam that's happening right now. And I'm I want to show you how every major tech company is kind of not making it easy on the rest of us to decide what's an agent and what's not. All right. Let's start with the big study. So we covered this a couple of weeks ago in our newsletter.

And actually, I didn't make a big deal of it at the time. This study actually came out in June. We ran it in our newsletter, you know, and I'm like, okay, we're going to leave that at that. But it, like, I don't know what happened. the last six weeks have been absolutely nuts with, you know, all these companies coming out with agents, agents, agents. And I obviously look at them and I'm like, no agent, no agent, no agent. And yeah, that's why I'm dedicating a literal 25 minute episode today to just cutting through

all of the BS because what Gartner found in this study, they looked at more than 3,000 vendors that were out there marketing AI agents. And they actually looked at the capabilities and the features of all of these vendors, all of these different software companies that were saying, hey, we have an agent. And what they found is that only 130 out of the 3,000 plus vendors that they looked at actually had agents. So that means more than 95% of these so-called AI agents are just rebranded chatbots in automation tools. And what they're calling it at Gardner is agent washing. I'm calling it the overagentification of everything.

And I think that we need to stop, right? It's one of those things. And we have to take a brief look at the technology and the history. Agents aren't anything new, even when it comes to the generative AI wave of agents, right? You can go all the way back to right after Chad TVT came out. A lot of earlier companies were promoting agents. And I still think that very few of even the actual agents are having the capabilities of what the future of agentic AI actually is. Right.

And I'm going to get a little bit into definitions here in a little bit. But let me just say this. An agent is an AI that goes out. it builds its own solutions and you just give it a task. You give it a goal. You give it an end destination. You make sure that it has the tools that it needs, the information that it may require as well.

That may be some credentials, some files, et cetera. And then it goes out and it builds its own way to the solution. I think today's agents aren't that great, if I'm being honest. I think the agents in a year or two are going to be extremely impressive. But an agent, essentially, it's not a pre-built automation, right? That's what so many of these quote unquote agents that were exposed in Gardner's study,

that was the number one kind of telltale sign of a company that's just lying to you. Right. So if you see all these charts, right, and it's like all of these complex workflows, and it's like, oh, here's my agent. It's not an agent that is primarily one of a couple of things. But the biggest liar in the room is those companies that are essentially selling pre-built workflows with AI powering them. That is an AI powered workflow, right? An agent doesn't need that. An agent doesn't have a pre-built set of decision trees and then it's using, you know,

a reasoning model when it gets to step 13 out of 39. That is not an agent. an agent has a start point, has an endpoint, and the agent finds everything else out in between. And it has access, in most cases, a useful agent at least, has access to a virtual browser, has access to a virtual desktop, has access to a command line tool like terminal and Mac. Right. So in other words, an agent has access to the exact same tools that you and I use to do work. And they work in roughly the same way, right?

There's a start point. There's an endpoint. And us humans are going to go do that work in between. And it might look fairly repetitive. So I'm not saying that AI powered workflows or marketing automation with AI built in or robotics, you know, RPA, robotics process automation with computer vision and AI. I'm not saying those things aren't agentic because they can be, right?

Agentic is describing something. An actual agent. That is a noun. That is essentially not a replacement per se for an actual human, but an agent is one that can go out and essentially do the same type of work that a human can do without it having to be a pre-built workflow. How to get that off my chest, y'all? That one, it's been bugging me.

You know, can I tell you like a personal story here? I get so many, so many pitches. in my email inbox for people, you know, wanting to come on to the show and, you know, tell you tell you all about how their agent is the best thing since sliced bread, right? Also, I don't mind non-sliced bread. Sometimes they just need a big hunk and, you know, the old rip and tear, uh, French bread from Jewel. All right.

And they're like, all right. You know, my, my agent's the best thing ever, best thing ever. And, you know, I get so many of these emails, half the time I don't even look at them anymore because I'm guessing if companies just put the word agent in a pitch 50 times, they probably don't know what they're doing. But in the few times that I actually go out and look at it, I'm like, this isn't an agent. This is a feature, right? This used to be, you know, a simple step in a CRM.

And now all of a sudden they want to call it an agent, you know, because they're trying to raise money or they're trying to fool you, uh, into thinking that they're building something truly valuable. And there's a big difference between something that's agentic and an actual agent. So a little more on this Gartner study. So aside from finding that, you know, 95% of these 3,000 vendors that were selling AI agents, they're not actually selling AI agents. A couple more sobering stats that they found in this research.

They found that more than 40% of agentic AI projects that have been launched are going to be canceled by the end of 2027. I would say that's a, I would say it's going to be more, right? I would say it's going to be more because so many of these projects that are launched right now are launched on agents that number one aren't actually agents. And I think that unfortunately, so many small and medium sized businesses aren't using the right agent tool. Right. So if we even look at what agents are available today, I think you have to look at the big players.

You have to, right? You have to look at what Google is doing. You have to look at what Microsoft is. doing. You have to look at what Open AI, chat Chb-T is doing, and Anthropic and, you know, probably meta as well, right? But if you're looking at AI projects that are going to be successful past 2027 in the enterprise, I would assume the majority of them are going to be one of those five names.

Yet, I think one of the biggest problems when it comes to agents right now is so many small and medium-sized businesses have been swindled by. these companies that Gartner kind of exposed in their agent washing study because they're building their whole foundation, these companies on shaky ground, right? I don't think most of the tech that has come out in the last year or so around quote unquote agents is going to make it. Yes, I think there's some great agent startups, right, Jen Spark, Manis, et cetera. But I do think If you are a decision maker at an enterprise company, especially here in the U.S., you're probably going to have to get on board with one of those five, right?

Open AI, I think came out with a pretty capable agent. I wouldn't say it's great yet in their new agent mode. Microsoft has probably been leading the way here with their Microsoft co-pilot studio. Google, they have great products out there, but unfortunately, very few people have access to them. with their kind of agent space and some of their other agent offerings. And we'll see what ultimately met up with their new meta super intelligence lab, as well as Claude.

Claude has more coding agents, right? So they don't have necessarily general use case agents. So we'll see what the big, the big five ultimately end up, you know, how much of their future product development is centered around general purpose agents. But additionally, this. Gartner survey said that by 2028, more than 50% of day-to-day work decisions will be made by autonomous agetic AI. And that's at a 0% last year in 2024. That's actually a big jump, right? You might look at 2028 and be like, oh, that's three years away, 15, you know, more than 15%

of, you know, daily work decisions. That doesn't seem like a lot. But how many decisions do you make a day? Think about that. Adobe just introduced an entirely new way to create, bringing the power and precision of its creative suite into one conversational experience. Meet Firefly AI Assistant, now live in the Adobe Firefly app, the all-in-one creative AI studio. Powered by Adobe's Creative Agent, Firefly AI Assistant lets you start with your vision, just describe what you want, and shape the outcome as it takes form with the Assistant.

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See it today at firefly.adobie.com. I would venture to guess that most of us make dozens, if not, more than a hundred decisions every single day. You may not realize it, right? But oh, it's like when you're looking at that email. All right. which version of the pitch are you going to send? How are you going to reply to objection A?

How are you going to steer the next conversation forward, right? You may not even realize it, but every single important email you look at, you might make 5, 10, 15 decisions. So when it comes to looking at a stat like, okay, more than 15% of decisions, day-to-day work decisions are going to be made by agents by 2028, I think that's actually a giant number, right? Right. Again, I think it's going to be more because I think that the big, big tech companies, specifically Microsoft and Google, they've already, they've laid their

cards out. They're going all in on real agents, unlike a lot of these vendors that are pushing a bunch of garbage. So I do think that number is going to be higher. Also in the Gartner study, they said that by 2028, more than a third of enterprise software applications will embed agentric AI. And that's right now in 20 or sorry, in 2024, the last full year that was included in the study. That was less than 1%. It's a pretty big jump, right? So yes, not only are we going to be, you know, having access to real actual AI agents with, I think, those five big tech companies, but all the other big software providers, right? Like, good example, you have Salesforce with their agent force, which I'm not personally a big fan of, but that's an example, right, that shows,

uh, you know, how agents are going to be bleeding into all enterprise software. But what this boils down to, so many companies are just lying about having AI agents. I've literally been on calls with people that are like, hey, you know, look at my agent. And then they show me a, a GPT. Literally, they show me a custom GPT. and say, look at my agent. Part of that's marketing. Part of its, you could argue part of its semantics and definitions, but I don't think so.

Right. There's agentic models that we all use, right? I'd say the most popular agentic models would be OpenAIs 03 and Google Gemini 2.5 pro. Those models themselves are agentic. So agentic AI sure is everywhere. But there's a huge jump skip in a leap between what constitutes agenic AI and what is an actual agent. So I think that we really have to separate that.

Right. So right now, startups in 2024 raised $3.8 billion to build agents. And I've used a lot of them. And I'll say most of them are either, you know, like you're just making prebuilt workflows. Right. Like if you've ever used N8N, right, nothing against N8N. I think it's a great platform, but everyone's talking about, oh, these agents, I'm like, no, that's a workflow.

It's an AI powered workflow, right? And right now also a recent study showed that 88% of executives are investing in agenic AI without even knowing what they're buying. And that's problematic, right? And I think the companies that are doing it correctly, usually have a C-suite that's already been bought in to marketing automation, right? I think the companies that have been using, you know, tools like Zapier or make, right, some of these more marketing automation platforms for many years before the AI hype. And then they're able to quickly decipher between what's actually an Asian and what's just, you know, dressed up. with a little bit of makeup and fancy language.

But so many companies are getting burned on agents right now for that very reason. Because these companies are just printing money, right? If you're a startup, I wouldn't say the rest of the year, but if you had a startup in mid-2024 to mid-2025 and you said, Hey, this is an agent and you had an okay demo, you raised tens of millions of dollars. Right. And so now, this is, you know, something I get all the time. We do consulting for companies and, you know, companies are like, hey, you know, we're looking

at these different agents. And I'm like, no, don't do that. Right. Don't build your day to day processes around a something that's not actually an agent and say it's agent to gay. because what happens when we actually have more capable agents than what we have today, all of that work is going to be for nigh, right? You just wasted, you know, however many human hours when I think we're going to have

much more capable true AI agents in 2026. I don't, unlike everyone else, everyone else has been saying, you know, oh, well, I mean, to a certain extent I did as well, right, but talking about how 2025 is the year of the AI agents. And I think the actual definition of that is just the availability of technology that says, yeah, we're agents. But I don't think this year is the year where we're going to see actual useful gains from real agents because of this problem. And it's deception, right? Another study showed that 85% of companies plan to use AI agents by this year, but only 2% have actually scaled them successfully.

Right. So many companies are using it, but, you know, it's more of like you give it one task or a group of tasks and you're like, okay, well, we think this is helpful, but we can't really scale this across our organization. So right now, industry analysts predict that over 40 percent, like I said, through the Garner study, are going to fail. And I think this is one of the biggest disconnects between marketing hype and technical reality that I've ever done. seen. Like I literally, you know, a year ago, I would get excited, right? Oh, there's a new AI agent. Cool. Now it's I don't know. It's vomit inducing because it's like don't, don't touch it. Right. A company that's launching today with all this great AI agent, they're not going to make it. Right. I hate, I hate using this as an example because it was a great company. Uh, right? But look at windsurf. You know, there's obviously at the same time,

is the agent craze, the vibe coding craze. And I'd say six months ago, Winsurf was probably the second biggest or best company out there when it came to vibe coding, right? So building applications through natural language without having to know how to, you know, create actual software. You would, again, I'd say six months ago,

you can make an argument, you know, GitHub co-pilot maybe was ahead of them, but I would say it was probably cursor, was number one and windsurf was number two. Maybe it was more like nine months ago. So I know a lot of organizations that built their day-to-day processes, at least on the software engineering side, around windsurf. Great tool.

Seemed like it had a great future. What happened? Google Acquired their leadership and the rest of the organization kind of just got dissolved or bought up by cognition. So what happened to those companies that spent, six, seven figures and just moved all their processes over to windsurf. You wasted your time. So I want that to be a cautionary tale on these new up-and-coming agents because they

look so shiny. They look so cool. But y'all, if there's not a trillion dollar market cap in the company that you're building your AI agents on, you're probably in the wrong place, right? And I'd say the only, um, uh, exceptions to that rule would be open AI and, um, in Anthropic, right? So it's like, all right,

you should probably be building on Microsoft, Google, meta. I mean, technically you can build on in video, uh, and then probably open AI in Anthropic. Anything like if you're building on, you know, again, nothing against these startup promising AI agent, uh, you know, companies. I personally wouldn't do it. And I wouldn't advise anyone else to do it anyways because look what's happening in the space.

Some of these smaller, you know, startups that have only been around for maybe a year, maybe a year and a half. Even if they have technology, that seems great, there's a good chance that they're going to get aqua hired, straight up acquired, or maybe just squashed because you never know what happens when we get the second version of Open AI's agent mode. The first version, pretty good, right? What happens when Microsoft co-pilot? studio gets even better. What happens on the Google side, right, when Google agent space is

generally available, right? Right now it's not, but what happens when it's generally available in Project Mariner and agentic browsers, right? The spaces, I think, changing too quickly. So how do we get here? How do we get to this point where I think that this is literally such a toxic and troublesome environment? Well, number one, there's no definition. There's no agreed upon definition of what an AI agent actually is. And that's problematic, right? And that's, I mean, you can make the argument. That's anything right now in, in a, in the AI world, right? No one can even agree what a large language model is or an agenic model, uh, right. So I think one of the biggest reasons why so many companies are getting scammed and getting disappointed. And then

they just get bearish on agents, which I think is a bad move. You know, they make a bad business decision. They go with one of these startups. And then they think, okay, well, hey, agents don't work. No, you made a bad decision. And one of the reasons why is because everyone's marketing agents, agents, agents, it allows them to raise more money. It allows them to get new clients and customers. And then their tax stinks because there's no agreed upon definition of what an agent actually is. And I think that it's become a mandatory buzzword, especially for public companies.

Right. So last year, public companies and their earnings call, they have to say AI, AI, AI. AI or maybe that was like two years ago. But in 2024, you know, they said agents, agents, agents, agents, agents. And it's been a buzzword. And like I said, that earlier study, 80% of executives don't even know what they're spending their money on when it comes to agentic AI. But they just know they have to.

Gotta spend my money on it. Right. And right now, another study showed that 93% of business leaders, business leaders think they need AI agents for a competitive advantage. But they don't even know what for. It's just FOMO. That's all it is. And I don't think that this is the last time that we're going to have this

trending category that's going to take over the business narrative. Right. And everyone's going to say, oh, you know, I don't know why we need agents, but we need them, right? Because that's what's going to, you know, help us cut down our, you know, our staffing. Or that's what's going to. increase our productivity. And I think it's just FOMO right now.

And like I said, real agents, they have advanced reasoning. They can plan multiple steps in ahead independently without human guidance. True agents don't need workflows built for them. Let me say that again. True agents do not need workflows built for them. What they need, they need memory systems that learn and can remember across long conversations and tasks and true agents integrate with the tools and systems to take actions in the real world.

And most importantly, agents adapt in real time to unexpected situations and changing goals. Like a human. Right. A human starts a task. They find out new information. They're like, oh, okay, I need to go get a new tool for this. I need a different file. I need to go find new one.

information. Oh, I need to make a slide deck for this now. I need to create a spreadsheet for this now, right? The deliverables change. The direction of the outcome can be modified. AI powered workflows, agenetic AI models can't do that per se. They can't. A true agent. I literally like to say, think of it like an intern because that's, I think where they're at right now with general AI agents. I think narrow AI agents are actually where businesses are going to see the true, like the true value of AI agents, but a general AI agent, you have to think of it, like me and you, sitting in front of a computer, they have a browser, they have a computer,

they have a terminal, they have a project, and they get to work, right? It's nothing pre-built. We're not telling them what to do at steps one, two, three, and four. We say here's your goal, here's your environment. You have all the needed information. Go get to work. So how can you spot the lies, right? If this is such a problem and it is.

And I think so many companies are going to waste multiple quarters, in some case, more than a year. In many cases, millions of dollars and just really valuable resources. How can you spot the lies when it comes to agents? I already told you the easiest way. I said it's the trillionaires plus two, but think, large language models just respond to prompts. All right. And there's no planning or persistence between conversations. AI powered workflows follow predetermined scripts that are built by humans with some AI

featured sprinkled in along the way. But true agents set their own goals. They figure out step by step how to achieve them without needing any of it. built by humans. And most products and companies and softwares today that are calling themselves agents are just fancy RPA systems, their marketing automation, their if this then flows with a little bit of AI sprinkled in. So here's the hot take.

Again, outside of the Trillionaire Five and the other two, I wouldn't trust anything with the word agent. I really wouldn't. Or at least I wouldn't trust my day-to-day business operations because that's what companies are ultimately looking to do when it comes to agents. They're trying to replace entire crucial workflows. I wouldn't outside of the big five and the other two,

I wouldn't trust any of them. And I think so many companies now are looking at general use agents, which I don't think is a good thing. I think narrow agents are where we're first going to learn how to work with agents, right? So narrow tasks specific, which I actually think, you know, kind of some of these new subagents from Anthropic Claude when it comes to coding, that's a great use case. I think like AI agents who specifically code, I think those organizations that have already implemented those are going to see some great gains, you know, having narrow use cases.

But right now, I think very few organizations are primed to handle today's general agents. Are they great? They're okay. But I do think you still have to be experimenting now. But one of the biggest reasons why so many organizations can't really take advantage of these more general AI agents that are available now is they skipped AI literacy. Right. And how can you expect your marketing team, your finance team, your HR team to know and understand and use AI agents if they still weren't even trained on the basis. of Gen AI in large language models.

Again, that's a leadership issue. That is so many companies are skipping over investing in their people and just investing in flimsy agent software. And I'll say, agents are real. I don't want you to get the wrong impression, right? That 95% are fake, but that 5% is very real. But I do think we are going to have an artificial bubble around. that 95% but don't let that sway you don't let that sway you focus on what matters focus on what

works and don't get swept up in the hype and the distractions all right i hope this helpful i hope this episode was helpful and i just had to get this hot take out of the way and just say one more time no that's not an agent and hopefully this helped you cut through the agentic AI marketing hype. So when you're making a decision for your company, when it comes to your day-to-day business processes, you need to actually understand what an agent is, what it isn't,

do you need one, and is your team ready to take advantage? All right. If you need more on this, you know we've got it in today's newsletter. So if you haven't already, please go to your everyday AI.com. Sign up for the free daily newsletter.

Thank you for tuning in. Make sure to join us tomorrow. We're doing the putting AI to work at Wednesday, our new Wednesday series. I'm excited for it. It's going to be a good one. Let me just say that. So thank you for tuning in.

Hope to see back tomorrow and every day. For more, everyday AI. Thanks, y'all. Meet Firefly AI assistant. Now live in Adobe Firefly, the Allman One Creative AI Studio. Just describe what you want to create in your own words and the assistant handles the rest, orchestrating multi-step workflows across Adobe Creative Cloud apps, including Photoshop, Premiere Express, and more in one conversational interface.

You direct the output. while the assistant accelerates execution. Stand control with the ability to step in and refine at any time. See it today at firefly.adobie.com. And that's a wrap for today's edition of Everyday AI. Thanks for joining us. If you enjoyed this episode, please subscribe and leave us a rating. It helps keep us going.

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