WEBVTT

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Welcome to the deep dive. We're here to really

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cut through the noise and give you insights you

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can actually use. Absolutely. Today we're tackling

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something I think, well, pretty much every digital

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marketer listening knows all too well. That constant

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relentless grind of repetitive tasks. Yeah. You

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know, the stuff that eats up hours. Oh, yeah.

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Compiling reports, digging through competitor

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websites, mapping out content schedule. Exactly.

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It's all crucial work. No doubt about it. Yeah.

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But it drains so much brain power, right? Energy

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you could be using for, like, actual strategy.

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Big picture thinking. Sure. Work, work, yeah.

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But what if? What if there's something new that

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could seriously shift that dynamic? Uh -huh.

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We're diving into Chat GPT Agent today. And look,

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this isn't just another AI tool popping up. Think

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of it more like a virtual marketing assistant.

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Right. It's a step beyond just generating text

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or making a picture. Precisely. This AI can actually

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take proactive action. Seriously, it feels like

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we're stepping out of science fiction here. It

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kind of does, yeah. The big promise, the real

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core of Chat GPT agent, is that it can execute

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tasks. Imagine a really diligent digital partner.

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It can reason, it can problem solve, it can do

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complex jobs right there in a web browser. Like

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a person would almost. Yeah. So our mission for

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this deep dive, we're going to unpack what ChatGPT

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Agent really is, how it actually works. Under

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the hood, so to speak. Exactly. And most importantly,

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give you really concrete examples how you can

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use this thing to delegate those super time consuming

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jobs to really revolutionize your workflow. And

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we're drawing all this from that detailed guide,

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right? Chat GPT agent revolutionizing digital

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marketing through autonomous AI. That's the one.

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OK, so let's unpack this. We all kind of get

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the AI tools that write stuff or make images.

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But you're saying agent is fundamentally different.

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What's the key difference? Right. So the core

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thing, it really goes beyond just language skills,

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which are already impressive. It's the capacity

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for action. That's the game changer. Action.

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Meaning? It operates inside its own secure, isolated,

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virtual computer. Think of it like a sandbox

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environment. OK, like a safe space for it to

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work. Exactly. And it's got everything it needs

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in there, its own web browser, a code editor,

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other tools. So it can go online, download files,

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crunch data, use web apps. Just like a human

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user would. Pretty much, yeah. But critically,

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it does all this without touching your personal

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computer. It's all contained. Got it. Safe and

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separate. And here's something really interesting

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for you, the listener. One of its standout features

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is the transparency. Transparency? How so? You

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can actually watch everything the agent does

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in real time on a recorded screen. Wait, really?

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You see the mouse move? You see the cursor move,

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you see websites opening, data getting copied

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and pasted, the works. And that transparency

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is super important. It lets you understand its

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thought process. And crucially, you can step

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in. You can correct it if it goes off track.

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OK, so you're not just firing instructions into

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the void. Not at all. Plus, it's not just following

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a rigid script. It has reasoning capabilities.

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Meaning it can think for itself, sort of? In

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a way, yeah. Like if it hits a snag, maybe a

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website layout is weird, or a button doesn't

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work. Which happens all the time. Right. It can

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adapt. It'll basically tell itself, OK, Plan

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A didn't work. Let me try finding a link in the

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navigation bar instead. It problem solves. That's

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pretty smart. And it integrates its tools seamlessly.

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It can browse the web, then maybe use Dali to

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create an image it needs. That's the AI image

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generator. Yeah. And then it might activate its

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data analysis tool, the code interpreter, to

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process a spreadsheet it just downloaded all

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in one flow. OK. That's starting to sound seriously

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powerful. So for someone listening thinking,

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all right, I want to try this, what's the starting

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point? How do you actually use it? It's actually

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surprisingly straightforward to get going. In

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the chat GPT interface, you just flip a switch

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for agent mode. Then you describe your task.

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And the more detailed the better. Really spell

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it out. Watch it go. Pretty much. You observe

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it work, but the real power, honestly, is that

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you can manage it. Like, an employee almost.

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So you can jump in mid -task. Yep. Give it more

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instructions, correct its course if needed. It's

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interactive. You're guiding it. Right, OK. Let's

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get practical then. Let's move from the what

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to the how. I mean, think about something like

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SEO reports. Oh, the bane of many marketers'

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existence. Totally. Essential, vital even, but

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so laborious. Pulling data from analytics, search

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console, seam rush, RFs. It takes forever. It's

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a massive time sink. And this is where the agent

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can be pretty remarkable. It can automate almost

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that entire process. And there's the whole thing.

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How? The key, like you said, is a really detailed,

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clear prompt. You have to tell it exactly what

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you need. OK, give me an example. Sure. You could

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say something like, act as an SEO specialist.

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Create a detailed SEO performance report for

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June 2025 for the website hardisonbakery .com.

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Be specific. Very specific. Then add the objective,

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analyze its SEO performance, and compare it against

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two competitors, freshlybaked .com and breadandbutter

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.co. Gotcha. So it knows the goal and the context.

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Exactly. Then this agent will go out, use tools,

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maybe Ubersuggest, maybe Page Beat Insights,

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whatever it needs, grab the data on traffic.

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keywords, backlinks, site health, all the usual

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metrics, all of that. Then it synthesizes it,

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gives you actionable recommendations, and here's

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the kicker. It can even format the whole thing

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into, say, a Google Slides presentation. No way.

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Yeah, with specific slides you request, like

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slide one, title, slide two, SEO performance

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summary, slide three, backlink analysis. You

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define the structure. That is seriously impressive.

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Just the report generation is huge. Wait, there's

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more. Once it's done that first report, you can

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click this little clock icon, schedule it, tell

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it to run this exact same task again next month.

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You're kidding. Fully automated monthly SEO reports.

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100 % automated. Think about that. It frees you

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or your SEO specialist from just gathering data.

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To actually using the data, focusing on strategy

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implementation. That's nicely. It changes the

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job description fundamentally. OK, mine's slightly

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blown on that one. What else? Let's talk content.

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Content marketing, always this mix of planning

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and then just churning out the assets. Right,

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strategy and execution. The agent can help with

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both, researching ideas, building the schedule,

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and creating the actual content pieces. OK, but

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how does it know? Like, our brand voice, how

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does it stay consistent? That's always the challenge

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with AI content. Great question. And the sources

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point to a feature called projects. This is really

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important. Projects. Yeah, it's where you store

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persistent information, your brand guidelines,

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tone of voice instructions, visual identity notes,

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target audience profiles, all that stuff. So

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it has long -term memory for your brand. Kind

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of, yeah. You set it up once. Then when you give

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it a task, like, ah. Create an Instagram content

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calendar for our sustainable fashion brand EvoThreads

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for the first two weeks of August 2025. OK. You

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specify the details. Three posts per week. Focus

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on these content pillars. Deliverables should

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be the caption, a deli prompt to generate the

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image, and relevant hashtag sets. And you want

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it all in a spreadsheet. Yep, maybe compiled

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into a Google Sheet. And because it has access

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to those project guidelines, the output should

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actually match the brand. Exactly. It doesn't

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just suggest ideas. It produces ready -to -use

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content that adheres to your brand rules. Think

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of the hours saved and the consistency you gain.

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That seamlessness, that consistency. Yeah, that's

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huge for branding. Okay, another area of UX research.

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Understanding how users actually interact with

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your site. Mm -hmm. Trying to role -play as a

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user yourself is, well, tedious. And you miss

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things. You're biased. Totally. You know where

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things should be. Right. So you can assign this

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to the agent, ask it for a detailed UX study.

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How would that prompt look? Define the objective

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clearly, like... Compare the course enrollment

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journey on our platform, mydeschool .edu, with

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our competitor, Coursera .org. OK, side -by -side

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comparison. And specify the exact steps. Start

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at the home page, search for data science course,

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view course details, proceed to payment, map

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out the whole journey. And the agent just...

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Does it? It acts like a customer. It goes through

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each step, takes screenshots, and makes notes

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along the way. What kind of notes? Things like,

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OK, at this step, I had to fill out seven fields.

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That seems like a lot. Or, oh, the competitor's

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quick view button here is really helpful. Real

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user -like observations. And the output. You

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get a side -by -side analysis, maybe highlighting

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differences, friction points, and specific recommendations

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for improving your platform. That kind of detailed

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walkthrough would take ages manually. Easily

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hours, maybe a full day. The agent can do it

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in minutes. documenting everything objectively

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gives you that evidence -based perspective. Huge

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efficiency gain there. Yeah. OK, speaking of

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sifting through data, customer sentiment. Oh,

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boy. Yeah, manually reading thousands of comments

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on Reddit, Facebook, review sites. It's a nightmare.

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You could drown in that data. Totally. But the

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agent can handle it. How? Again, define the scope.

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Do a customer sentiment analysis comparing two

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fintech apps, Cash Flow and Paywise. Specify

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where to look. Yep. Focus on reddit .com, core

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slash personal finance, relevant public Facebook

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groups, tech review sites, and tell it what aspects

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to look for. Analyze sentiment regarding features,

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pricing, customer service, UI. So it goes out

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and scrapes comments. It collects the relevant

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comments, yeah. Then it classifies the sentiment

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positive, negative, neutral. For each comment.

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For each one. And it identifies the key themes

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people are talking about, good or bad. What do

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you give at the end? A structured spreadsheet,

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usually. But it can go further. It can create

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visualizations. Like charts. Exactly. A pie chart

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showing the praise -complaint ratio. A bar chart

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comparing which features get the most love or

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hate for each app. Wow. So it turns all that

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qualitative opinion into quantitative insights.

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That's the magic. It helps you make decisions

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based on what the market is actually saying,

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not just gut feeling. It turns that noise into

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signal. That feels like it democratizes market

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research, almost. making deep insights accessible.

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I think that's a great way to put it. Okay, final

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use case example. Building a content strategy

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from scratch. Right, the blank page problem.

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Starting a new YouTube channel, a blog. Where

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do you even begin? It's daunting. But the agent

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can actually do the initial heavy lifting. The

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whole niche research process. You explain your

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goal. I want to build a new YouTube channel about

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backpacking hidden gems in northern Vietnam.

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Specify the target audience. Young Vietnamese

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locals and adventurous international travelers.

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Then the agent goes to work. Competitor analysis.

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Find three similar channels. Analyze their five

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most popular videos. Topic research. Identify

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ten high -interest topics where existing content

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quality is low. Audience analysis. Scan comments

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on competitor videos for five common questions

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or pain points. So it's doing the market research

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for you? Pretty much. And the output isn't just

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raw data. It's a strategic plan. Like what? It

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might propose a channel name, a channel description,

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a unique selling proposition, define key content

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pillars, and even draft a 90 -day launch schedule

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with specific video ideas. That's basically handing

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you a roadmap. A data -driven roadmap, built

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on actual market insights and audience needs,

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not just guesswork. It seriously ups your chances

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of success right out of the gate. These examples

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are incredibly compelling, but it does raise

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a question. With all this power, when should

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you use the agent versus just... standard chat

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GPT. That is a really important distinction to

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make. It's not the right tool for every single

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task. Right. There's got to be a balance. Exactly.

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You want to use chat GPT agent when things get

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complex, especially involving multiple sources.

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Like pulling data from different websites? Precisely.

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Visiting sites, clicking around, scrolling, pulling

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specific info that's prime agent territory. What

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else? Tasks that combine research and creation,

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like researching fashion trends on Pinterest,

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then using delay to make related images and writing

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captions. OK, that multi -step workflow. Yeah.

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And cross -platform stuff, getting data from

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Reddit, putting it into a Google Sheet, anything

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that involves moving between different web applications

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or sites. Makes sense. And definitely for automating

00:12:29.809 --> 00:12:32.250
those manual repetitive processes we talked about,

00:12:32.649 --> 00:12:35.789
if it has lots of steps, takes a long time, but

00:12:35.789 --> 00:12:38.649
follows clear rules. Perfect for the agent. Right,

00:12:38.669 --> 00:12:42.409
like the SEO report example. Exactly. And finally,

00:12:42.970 --> 00:12:45.389
task needing some simple decision making, where

00:12:45.389 --> 00:12:47.870
it has to evaluate options based on criteria

00:12:47.870 --> 00:12:50.129
you give it. OK, so that's when agent shines.

00:12:50.509 --> 00:12:53.789
Yeah. When should we stick with good old standard

00:12:53.789 --> 00:12:56.090
chat GPT, the one we're maybe more familiar with?

00:12:56.250 --> 00:12:59.309
Standard chat GPT is often better and faster

00:12:59.309 --> 00:13:01.909
for straightforward text generation. Just writing

00:13:01.909 --> 00:13:04.909
a blog post, an email. Yeah. Or a script. If

00:13:04.909 --> 00:13:07.649
you just need text, standard is usually more

00:13:07.649 --> 00:13:10.809
fluid. Also for brainstorming and just batting

00:13:10.809 --> 00:13:12.769
ideas around. Right. You don't need the web browsing

00:13:12.769 --> 00:13:15.090
overhead for that. Exactly. And this is important.

00:13:15.470 --> 00:13:18.710
For tasks needing real nuance and subtlety, like

00:13:18.710 --> 00:13:21.250
a really important client email or sensitive

00:13:21.250 --> 00:13:24.090
internal documents, things where the exact wording

00:13:24.090 --> 00:13:26.909
matters immensely and you need 100 % human control.

00:13:27.049 --> 00:13:29.350
Don't trust the agent with high stakes communication.

00:13:29.610 --> 00:13:32.830
Probably not for the final draft, no. Also, any

00:13:32.830 --> 00:13:35.110
task where errors could have serious consequences,

00:13:35.470 --> 00:13:37.929
financial loss, reputational damage, stick with

00:13:37.929 --> 00:13:39.990
human oversight. Makes sense. Whisk management.

00:13:40.350 --> 00:13:44.330
And finally, just raw speed. If you need an answer

00:13:44.330 --> 00:13:47.289
right now, age your tasks, take time, sometimes

00:13:47.289 --> 00:13:48.950
minutes, because they're actually doing things

00:13:48.950 --> 00:13:52.750
online. Standard Chat GPT gives you text in seconds.

00:13:53.250 --> 00:13:57.570
OK, that clarifies the when. Now, this power.

00:13:59.500 --> 00:14:01.379
It feels like there need to be some guardrails,

00:14:01.559 --> 00:14:04.720
right? Best practices. What are the potential

00:14:04.720 --> 00:14:07.360
pitfalls here? Absolutely. It's powerful, but

00:14:07.360 --> 00:14:09.940
it's not perfect. It's still new technology.

00:14:10.120 --> 00:14:12.179
You need to be aware of limitations. Looks like

00:14:12.179 --> 00:14:15.080
yes. Well, it can make errors. Occasionally,

00:14:15.220 --> 00:14:17.320
especially on websites with really complex code

00:14:17.320 --> 00:14:20.220
or tricky anti -bot measures. Okay, so it might

00:14:20.220 --> 00:14:23.419
get stuck sometimes. It might. Also, long sessions

00:14:23.419 --> 00:14:25.679
can sometimes get disconnected, which can be

00:14:25.679 --> 00:14:27.539
frustrating if it was halfway through a big job.

00:14:27.600 --> 00:14:30.379
Ugh, yeah, losing progress. And context limits.

00:14:30.519 --> 00:14:33.059
If you give it a really long, complex set of

00:14:33.059 --> 00:14:35.039
instructions deep into the workflow, it might

00:14:35.039 --> 00:14:37.000
sometimes forget the very first things you told

00:14:37.000 --> 00:14:39.340
it. Right, the memory is an infinite. And speed,

00:14:39.460 --> 00:14:41.539
as we mentioned, to tasks with lots of web interaction.

00:14:41.679 --> 00:14:43.639
Just take longer. Don't expect instant results

00:14:43.639 --> 00:14:46.200
for complex jobs. Got it. Anything else? Any

00:14:46.200 --> 00:14:50.159
major warnings? Yes. One really critical limitation,

00:14:51.179 --> 00:14:53.700
data privacy. This is huge. OK, tell me more.

00:14:53.840 --> 00:14:56.399
because the agent is browsing the web inside

00:14:56.399 --> 00:15:00.340
a remote session hosted by OpenAI, not on your

00:15:00.340 --> 00:15:02.720
own computer. Right, the sandbox thing. You should

00:15:02.720 --> 00:15:05.960
never ever give it sensitive personal login credentials.

00:15:06.460 --> 00:15:09.539
No bank logins, no confidential business logins.

00:15:09.759 --> 00:15:12.539
Absolutely not. No private financial information.

00:15:12.860 --> 00:15:15.480
Don't upload highly confidential company data.

00:15:15.740 --> 00:15:18.440
Just don't do it. Treat that remote session as

00:15:18.440 --> 00:15:20.639
potentially public. That is a vital warning.

00:15:20.840 --> 00:15:22.559
Yeah. Seriously important for anyone listening.

00:15:22.620 --> 00:15:24.990
Wow. Okay, so bearing those limitations and that

00:15:24.990 --> 00:15:27.389
big privacy warning in mind, what are the best

00:15:27.389 --> 00:15:29.450
practices for actually using it successfully?

00:15:29.750 --> 00:15:32.909
First off, be hyper -specific in your instructions.

00:15:33.009 --> 00:15:35.070
More details better. Way better. Treat it like

00:15:35.070 --> 00:15:37.529
you're delegating to a smart intern who has zero

00:15:37.529 --> 00:15:40.490
context. Spell out every step, every assumption.

00:15:40.690 --> 00:15:43.289
Okay, clarity is key. Second, start small. Don't

00:15:43.289 --> 00:15:45.389
try to automate your entire business on day one.

00:15:45.610 --> 00:15:47.769
Begin with simple tasks, maybe just pulling info

00:15:47.769 --> 00:15:50.450
from one site, before you build complex workflows.

00:15:50.629 --> 00:15:53.919
Learn to walk before you run. Exactly. Third,

00:15:54.440 --> 00:15:56.580
think like a manager, not just someone giving

00:15:56.580 --> 00:15:59.980
orders. Meaning? Guide it. Watch what it's doing.

00:16:00.299 --> 00:16:03.360
Be ready to pause it, give feedback, correct

00:16:03.360 --> 00:16:05.179
its course if it starts going slightly wrong.

00:16:05.340 --> 00:16:08.379
Don't just hit go and walk away, especially at

00:16:08.379 --> 00:16:11.620
first. Active supervision. Fourth, really use

00:16:11.620 --> 00:16:13.519
that projects feature we talked about. The brand

00:16:13.519 --> 00:16:16.330
guideline storage. Yeah. Take the time to set

00:16:16.330 --> 00:16:18.649
up your brand info, your key requirements. It

00:16:18.649 --> 00:16:21.110
gives the agent that long -term memory and makes

00:16:21.110 --> 00:16:23.450
it way more effective and consistent over time.

00:16:23.629 --> 00:16:26.049
Invest time upfront to save time later. Precisely.

00:16:26.309 --> 00:16:28.970
Fifth, and this is crucial, always review the

00:16:28.970 --> 00:16:31.809
output. Don't just trust it blindly. Never. Never

00:16:31.809 --> 00:16:34.789
trust it 100%. Use what it gives you as a really

00:16:34.789 --> 00:16:37.409
good first draft, maybe even a 90 % draft, but

00:16:37.409 --> 00:16:40.620
that final review, the final approval. That's

00:16:40.620 --> 00:16:43.159
still on you. Human oversight is non -negotiable.

00:16:43.399 --> 00:16:45.779
Absolutely. And finally, combine the agent's

00:16:45.779 --> 00:16:47.980
power with your human judgment. How do you mean?

00:16:48.340 --> 00:16:51.059
Let the agent do the grunt work, the data gathering,

00:16:51.220 --> 00:16:54.340
the processing, the initial structuring. Then

00:16:54.340 --> 00:16:57.240
you step in with your experience, your wisdom,

00:16:57.960 --> 00:17:00.399
to draw the deeper strategic insights from that

00:17:00.399 --> 00:17:03.799
data. So, AI handles the what, human handles

00:17:03.799 --> 00:17:05.400
the so what. That's a perfect way to put it.

00:17:05.640 --> 00:17:08.380
Okay, fantastic advice. So, for listeners who

00:17:08.380 --> 00:17:10.920
are now eager to actually try this, how do they

00:17:10.920 --> 00:17:13.160
get started? What are the practical first steps?

00:17:13.579 --> 00:17:16.420
Right now, ChatGPT Agent is typically available

00:17:16.420 --> 00:17:20.180
on the paid plans, ChatGPT Plus Pro team plans.

00:17:20.319 --> 00:17:22.400
Okay, so you need a subscription. Generally,

00:17:22.559 --> 00:17:24.589
yes. Then you just look for the agent toggle

00:17:24.589 --> 00:17:27.289
switch, usually within the main chat GPT interface.

00:17:27.430 --> 00:17:29.930
Turn it on. Simple enough. Then start with a

00:17:29.930 --> 00:17:32.390
clear task description. Maybe adapt one of the

00:17:32.390 --> 00:17:34.450
examples we discussed today, like the SEO report

00:17:34.450 --> 00:17:37.509
outline. Be specific. Then watch it work. Watch

00:17:37.509 --> 00:17:40.490
it work. Observe. Learn how it approaches the

00:17:40.490 --> 00:17:42.210
task. That's honestly the best way to understand

00:17:42.210 --> 00:17:43.990
its strengths and weaknesses. And jump in if

00:17:43.990 --> 00:17:47.410
needed. Don't hesitate. Pause it. Give it feedback.

00:17:48.069 --> 00:17:49.930
Clarify instructions if you see it going off

00:17:49.930 --> 00:17:53.029
course. And like we said, always. Always review

00:17:53.029 --> 00:17:56.210
the final results carefully. Make tweaks. Got

00:17:56.210 --> 00:18:00.390
it. This really does feel like, well, a significant

00:18:00.390 --> 00:18:03.569
leap. Chat GPT agent isn't just about generating

00:18:03.569 --> 00:18:05.789
stuff anymore. It's a fundamental shift. Yeah.

00:18:05.890 --> 00:18:08.650
From just giving instructions to an AI to actually

00:18:08.650 --> 00:18:12.509
delegating complex tasks to it. Tasks that used

00:18:12.509 --> 00:18:14.950
to eat up so much human time and effort. Yeah,

00:18:15.009 --> 00:18:17.109
it moves beyond just being a tool to being more

00:18:17.109 --> 00:18:20.000
like a... a digital team member almost. I think

00:18:20.000 --> 00:18:22.099
that's right. By automating that research, the

00:18:22.099 --> 00:18:24.660
data crunching, the content prep, it genuinely

00:18:24.660 --> 00:18:26.700
frees you up. Frees you up for what though? For

00:18:26.700 --> 00:18:29.259
the high value work, the creative thinking, the

00:18:29.259 --> 00:18:31.940
strategic planning, the nuanced decisions that,

00:18:32.000 --> 00:18:34.579
frankly, AI can't replicate, the stuff that really

00:18:34.579 --> 00:18:36.779
moves the needle. The human stuff. Exactly. As

00:18:36.779 --> 00:18:38.779
these agents get better, and they will, they're

00:18:38.779 --> 00:18:40.940
going to become just an essential part of every

00:18:40.940 --> 00:18:43.339
marketer's toolkit, I think. So the real key,

00:18:43.480 --> 00:18:45.420
it sounds like, is finding that sweet spot, that

00:18:45.420 --> 00:18:48.259
balance. Absolutely. Using the agent for what

00:18:48.259 --> 00:18:50.599
it's good at, those time -sucking, repetitive

00:18:50.599 --> 00:18:53.519
jobs. Let it handle the grind. Right. While you

00:18:53.519 --> 00:18:56.140
maintain the critical human oversight for the

00:18:56.140 --> 00:18:58.539
strategy, the creativity, the ethical considerations,

00:18:58.880 --> 00:19:01.640
the final call. AI augmentation, not replacement.

00:19:01.799 --> 00:19:03.720
That's the goal. So let's leave our listeners

00:19:03.720 --> 00:19:06.640
with this thought. Imagine your role in marketing

00:19:06.640 --> 00:19:09.380
evolving, shifting away from being defined by

00:19:09.380 --> 00:19:12.640
the sheer grind of manual tasks and instead being

00:19:12.640 --> 00:19:16.859
defined by the thrill of pure strategic innovation.

00:19:17.279 --> 00:19:20.640
Just think, what new creative heights could you

00:19:20.640 --> 00:19:22.839
actually reach if all that mundane stuff was

00:19:22.839 --> 00:19:23.319
just handled?
