WEBVTT

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In this ever -expanding world of AI, are we just

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drowning in answers? Or are we actually starting

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to build solutions, real solutions that make

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a difference in our businesses? beat. I mean,

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navigating the sheer volume of AI tools out there

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can feel, honestly, like a massive challenge

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sometimes. Welcome to the deep dive. This is

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where we try to cut through some of that noise

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and guide you towards what genuinely matters.

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Today, we're embarking on, I think, a really

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fascinating exploration. It's about a pretty

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significant shift happening in artificial intelligence.

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We're moving beyond AI that just answers your

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questions to AI that actually builds things,

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tangible assets. real usable stuff for your business.

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Our focus for this deep dive is a tool called

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Perplexity Labs. People are calling it your personal

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virtual analyst, maybe even like a lean consulting

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team you can call on any time. We'll unpack what

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really makes it different, how you can command

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it effectively to get really top tier performance

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and look at some of its practical strategic applications.

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Our mission today is really to help you understand

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how this particular AI can transform raw information,

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your data, your ideas into actionable strategies,

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concrete plans you can deploy right now. So let's

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maybe kick things off with a problem many of

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you listening, especially business owners, entrepreneurs,

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you might recognize this, tool fatigue. Okay,

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you open your browser, there are just countless

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AI chatbots, they all promise answers, but how

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many of them really create strategic value? Which

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ones help you work smarter, not just harder,

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by actually building something useful? That really

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is the core issue, isn't it? Yeah. And the fundamental

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shift with Perplexity Labs is, well, it's not

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just... spitting out text answers. It's more

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like an engine or, like you said, a virtual analyst,

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a lean consulting team you can spin up instantly.

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And the key is it creates actual assets. We're

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talking things like complex financial spreadsheets,

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interactive dashboards you can click around in,

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even little mini applications like a custom ROI

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calculator. It can generate detailed market analysis

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charts, full in -depth strategic reports. And

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the real game changer here is that these aren't

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just rough drafts. They're often completed, you

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know, professional grade deliverables. and they

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get finished in minutes, not the weeks or months

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it would normally take. Wow. That minutes not

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weeks thing for, say, a strategic report. I mean,

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for many business owners, that's not just saving

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time. It sounds like a profound shift in just

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how work gets done. It sounds like we're moving

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from just getting quick facts to getting fully

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completed strategic work. So how does that fundamentally

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change how a business owner might approach their

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day -to -day challenges? Well, it means you're

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no longer just doing research. You're actively

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producing finished strategic work. and at incredible

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speed. That's a powerful distinction, definitely.

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Let's dig into that a bit deeper then. What exactly

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makes the lab's version so uniquely powerful,

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especially compared to the standard perplexity,

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maybe the pro mode that some of us might already

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be using? Yeah, it's a really huge distinction.

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Think of standard perplexity, even the pro mode,

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as like your supersonic research assistant. You

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ask it something. And maybe in, what, three or

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four minutes, it synthesizes info from all over

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the web. It cites its sources, gives you a concise,

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pretty well -structured answer. It's great for

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basic research, quick fact checking, maybe drafting

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short bits of content. It's like having the world's

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fastest librarian, basically. Perplexity Labs,

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though, that's your analytical and construction

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powerhouse. When you activate labs, you're essentially

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assigning the AI a much more complex, multi -layered

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project. And this often takes longer, maybe 10

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minutes or more, because it isn't just searching

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for information. It's performing a whole sequence

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of intricate actions behind the scenes. It does

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deep research, accessing and analyzing hundreds

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of data sources, way more than standard. Then,

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and this is where it gets really fascinating,

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it moves to code execution, which means it actually

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writes and runs Python code in a secure environment.

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It's essentially programming on the fly. It does

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this to analyze data, create spreadsheets, perform

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complex calculations tailored to your specific

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request. And importantly, it can process your

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upload of files, CSVs, Excel sheets, text documents.

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It digs into your unique business data for insights.

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And then it goes beyond just numbers, right?

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It generates charts, bar graphs, pie charts,

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line graphs to visualize that data for you. And

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yeah, it can even build simple mini apps, these

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little interactive interfaces like a custom ROI

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calculator or maybe a progress tracker for a

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project you're working on. OK, hold on. When

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you say code execution, just for maybe a non

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-technical listener like me sometimes, does that

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mean it's actually programming a solution from

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scratch? Or is it more like using pre -built

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templates? Can you give a super quick, tangible

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example of what that Python code might do? Is

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it building a custom financial model, just for

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me, right there? Yeah, it's effectively programming.

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It writes unique Python code tailored to analyze

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your specific data or instructions. So it's building

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custom models or generating unique insights,

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rather than just plugging your numbers into a

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pre -existing template. It's quite dynamic. You

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could almost imagine labs as your virtual dream

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team, right? You've got a researcher, a data

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analyst, a programmer, and a strategic consultant

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all working together seamlessly in one go. Now,

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to access this, yeah, you do need a pro account.

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That's around $20 a month currently. But honestly,

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the value you get back when you consider getting

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these assets in minutes versus potentially weeks

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of human effort, it far exceeds that cost for

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most serious users. Right. So it's really about

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going beyond just finding information, isn't

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it? It's about actively creating and building

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usable solutions based on that information. Exactly.

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It analyzes deeply and then it builds concrete,

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usable tools and assets. OK, that makes sense.

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So if this is like an elite team you're bringing

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on to your desktop, the obvious question for

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a lot of listeners is probably, How do you talk

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to it? How do you direct it effectively? Simple,

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kind of vague questions probably aren't going

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to cut it here, right? You need to brief this

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virtual team properly. Precisely. You can't just

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throw out a casual one -liner and expect a masterpiece

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back. You need what amounts to a detailed project

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brief. And we found there's a proven seven -step

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framework that's incredibly effective. It helps

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you get superior, sometimes really astonishing

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results from labs. First, define the role and

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goal. And this isn't just fluff. If you tell

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it, act as a chief strategy officer, and your

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goal is to create a detailed market entry plan,

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it genuinely changes the AI's perspective and

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the depth of the output. Second, audience and

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context. Who exactly needs this output? This

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report is for the board of directors, and why

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do they need it? To decide on budget allocation

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for Q3, context is key. Third, data and sources.

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Give it specific files if you have them, like

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here's the CSV with our sales data, or provide

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crucial background info it needs to understand

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the situation. Fourth, the analytical framework.

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Be specific. Don't just say analyze this, tell

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it how. Perform a SWOT analysis or apply the

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PESL model or use Porter's five forces. This

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guides its strategic thinking process. Fifth,

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output specifications. Describe the exact format

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you want. Create an interactive dashboard with

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three main charts showing X, Y, and Z. Or export

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this as a fully functional Excel spreadsheet

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with these specific columns. Sixth, style and

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tone. Set the communication style you need. Use

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a professional, formal, data -driven tone, or

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maybe make it concise and easy for a non -expert

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to understand. And finally, seventh, quality

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and success criteria. Define what good looks

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like for this specific task. Success means the

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report clearly identifies three immediately actionable

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opportunities for revenue growth. This whole

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structure, these seven steps, they turn vague

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requests into really clear directives. And that

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clarity is where the magic really happens with

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labs. Yeah, I have to admit, I still wrestle

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with prompt drift myself sometimes, you know,

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that frustrating thing where your AI chat just

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kind of wanders off from what you originally

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wanted. This framework sounds like it really

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helps lock it onto the target. What would you

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say is the biggest benefit of being that specific

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with the AI? It fundamentally ensures the AI

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truly understands your precise needs, which minimizes

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wasted time and effort and gets you closer to

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the exact output you wanted the first time. OK.

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This is where, for me, it gets really exciting.

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We've talked about what perplexity labs is and

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how to talk to it effectively using that framework.

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Now let's get practical. How can we actually

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use this tool to build things for our businesses?

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Not just get answers, but actually construct

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solutions. This feels like the really transformative

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part. Absolutely. This is the application layer.

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And yeah, it's incredibly powerful. We've identified

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about nine distinct strategic applications you

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can use labs for, like right now. to build actual

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solutions. Let's maybe highlight a few key ones.

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OK, so for example, use case one, build a sustainable

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business growth system. Instead of fumbling around

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or maybe paying tens of thousands for consultants,

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Perplexity Labs can build a detailed roadmap.

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It actually creates a comprehensive strategy

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report, suggests a KPI tracking system, gives

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detailed recommendations for teen structure,

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outlines like a 24 month scaling timeline, and

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even builds a robust financial projection model

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based on your inputs. The strategic benefit here.

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You get what looks like a professional -grade

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growth plan in under 30 minutes. That replaces

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weeks, maybe months, of traditional research

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and planning. Just think about that competitive

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edge. Then there's use case three. Validate your

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product idea before building. This one tackles

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what is probably, for most entrepreneurs, the

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most costly mistake. Building something nobody

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actually wants to buy. Labs helps you create

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a systematic validation workflow. It generates

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a market demand analysis report, a kind of product

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validation scorecard, suggests relevant A -B

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testing methods, and can even build a little

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mini -app to track your validation progress and

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customer feedback. The strategic benefit here

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is just huge. You minimize your risk of failure

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significantly by making decisions based on actual

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evidence, not just gut feelings or assumptions.

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Another really powerful one is Use Case 7. Build

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a content repurposing engine. Look, producing

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fresh content constantly is exhausting, right?

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I know it is. Labs can design a system to take

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one core piece of content, say, a long -form

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YouTube video you spent ages on, and turn it

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into dozens of different formats for various

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platforms. It can analyze content performance,

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create a detailed repurposing workflow, give

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you optimization guidelines for each platform,

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like how do you turn that video into an SEO -friendly

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blog post, or an email nurture series, or engaging

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social media snippets. It maps it out. The strategic

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benefit, you maximize the value of every single

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hour you invest in content creation. This could

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potentially reduce your new content creation

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time by something like 60 % while massively increasing

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your audience reach. And maybe one more quick

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example. Use Case 9. Create a business process

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automation analyzer if you feel like you're drowning

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in manual repetitive tasks. Labs can analyze

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your current workflows. It identifies the top

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automation opportunities, even providing clear

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ROI projections for each. It can create an interactive

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dashboard to visualize this, recommend specific

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automation tools with cost benefit breaks. breakdowns,

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and lay out a phased implementation roadmap.

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The strategic benefit is pretty clear. You could

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reduce manual work by up to 60%, allowing you

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to make intelligent data -driven investments

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in automation that free up your team for higher

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value, more creative work. And beyond just these

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four, we're seeing really cool applications for

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things like developing niche domination strategies,

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accelerating personal brand growth, building

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sophisticated competitive intelligence systems,

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optimizing dynamic pricing, and even generating

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genuinely insightful thought leadership content.

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Whoa, just thinking about that. Imagine creating

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a full business growth plan or properly validating

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a new product idea in minutes, not months. That's

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really like, like stacking Lego blocks of data

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and analysis into a complete actionable strategy

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right before your eyes. That's quite a range

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of applications. Thinking about someone listening

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who's maybe just starting out, maybe feeling

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a bit overwhelmed by all the possibilities. Which

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of these use cases, in your experience, might

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provide the fastest, most immediate kind of value?

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Where's a good place to start? I'd say likely

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validating a new product idea. Purely because

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it helps you avoid potentially very costly mistakes

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right at the beginning. That's immediate risk

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reduction. All right, so we've got the formula,

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that seven -step framework for commanding perplexity

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labs. We've seen the sheer power and the range

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of potential applications. But like any powerful

00:11:54.110 --> 00:11:56.190
tool, there's using it, and then there's mastering

00:11:56.190 --> 00:11:59.330
it. How do you truly get the most out of this?

00:11:59.409 --> 00:12:01.490
Beyond just the basics, how do you continually

00:12:01.490 --> 00:12:03.870
optimize your results and maybe avoid some common

00:12:03.870 --> 00:12:06.649
pitfalls? That's a great point. To really master

00:12:06.649 --> 00:12:09.190
labs and get consistent high -quality results,

00:12:09.470 --> 00:12:11.549
there are a few practical tips and maybe some

00:12:11.549 --> 00:12:14.990
advanced techniques to keep in mind. First, Schedule

00:12:14.990 --> 00:12:18.009
Recurring Reports. This is super powerful for

00:12:18.009 --> 00:12:20.370
ongoing analysis. You can often set up labs,

00:12:20.429 --> 00:12:22.570
maybe in your account settings, to automatically

00:12:22.570 --> 00:12:25.590
rerun certain analyses on a schedule. Think like

00:12:25.590 --> 00:12:28.690
a monthly competitor watch report or a quarterly

00:12:28.690 --> 00:12:31.289
market trends analysis. It just runs itself and

00:12:31.289 --> 00:12:33.970
updates you. Second, download everything. Seriously.

00:12:34.220 --> 00:12:36.679
Labs creates downloadable assets for almost everything

00:12:36.679 --> 00:12:39.440
it builds. Save the charts as image files, the

00:12:39.440 --> 00:12:42.740
spreadsheets as Excel or CSV, the dashboard sometimes

00:12:42.740 --> 00:12:45.639
as code snippets or configuration files. These

00:12:45.639 --> 00:12:47.740
are incredibly valuable for future reference,

00:12:47.980 --> 00:12:49.559
for sharing, for integrating into other work.

00:12:49.860 --> 00:12:51.860
Don't just leave them in the chat history. Third,

00:12:52.100 --> 00:12:54.000
really lean into asking follow -up questions.

00:12:54.320 --> 00:12:56.179
Don't just accept the first output and stop.

00:12:56.700 --> 00:12:59.019
Labs is designed for iteration. You can dig deeper,

00:12:59.240 --> 00:13:01.620
ask it to refine strategies, request more specific

00:13:01.620 --> 00:13:03.720
data points, or clarify something that seems

00:13:03.720 --> 00:13:05.980
unclear. Treat it like a real conversation with

00:13:05.980 --> 00:13:08.340
your virtual team, push for more detail, challenge

00:13:08.340 --> 00:13:10.879
assumptions. Fourth, and this is really crucial,

00:13:11.039 --> 00:13:12.799
I think, especially for major business decisions,

00:13:13.580 --> 00:13:16.440
compare and cross -reference. Look, while Labs

00:13:16.440 --> 00:13:19.620
is incredibly impressive, no single AI is perfect.

00:13:19.759 --> 00:13:22.620
or has all the answers. For critical strategic

00:13:22.620 --> 00:13:24.899
calls, it's just good practice to cross -reference

00:13:24.899 --> 00:13:27.360
its findings or recommendations with other leading

00:13:27.360 --> 00:13:30.360
AI tools. Maybe run a similar query in Claude

00:13:30.360 --> 00:13:34.360
or Gemini or ChatGPT. Each AI has slightly different

00:13:34.360 --> 00:13:36.120
strengths, different training data, different

00:13:36.120 --> 00:13:38.940
ways of reasoning. Synthesizing multiple AI perspectives

00:13:38.940 --> 00:13:40.799
gives you a much more robust and well -rounded

00:13:40.799 --> 00:13:42.519
picture before you commit to a big decision.

00:13:43.100 --> 00:13:45.379
And finally, just a practical tip. Start simple.

00:13:45.610 --> 00:13:47.789
Don't feel like you need to try all nine use

00:13:47.789 --> 00:13:50.370
cases tomorrow. That's overwhelming. Pick the

00:13:50.370 --> 00:13:52.429
one application that addresses your single biggest

00:13:52.429 --> 00:13:54.830
business challenge right now. Focus on mastering

00:13:54.830 --> 00:13:57.090
that specific use case first. Get comfortable

00:13:57.090 --> 00:13:59.330
with the process. Build your confidence. Then,

00:13:59.470 --> 00:14:01.330
once you've got that down, expand from there,

00:14:01.450 --> 00:14:03.669
step by step. That point about cross -referencing

00:14:03.669 --> 00:14:06.070
with other AIs is really interesting. Why is

00:14:06.070 --> 00:14:08.710
that specifically so crucial for those really

00:14:08.710 --> 00:14:11.289
major decisions? What's the core benefit of taking

00:14:11.289 --> 00:14:14.399
that extra step, that multi -AI approach? because

00:14:14.399 --> 00:14:17.179
each AI essentially provides a unique lens on

00:14:17.179 --> 00:14:19.899
the problem. Combining those different perspectives

00:14:19.899 --> 00:14:22.720
gives you a more comprehensive, more nuanced

00:14:22.720 --> 00:14:25.620
understanding than relying on just one viewpoint.

00:14:26.000 --> 00:14:28.720
It helps spot potential biases or gaps. Okay,

00:14:28.720 --> 00:14:31.519
that makes a lot of sense. Let's bring this deep

00:14:31.519 --> 00:14:33.580
dive toward a close then and maybe recap the

00:14:33.580 --> 00:14:36.320
big ideas we've unpacked today. Proplexity Labs

00:14:36.320 --> 00:14:39.220
really seems to represent a genuinely new category

00:14:39.220 --> 00:14:41.580
of AI tool, doesn't it? It doesn't just retrieve

00:14:41.580 --> 00:14:44.580
information for you, it actively builds complete

00:14:44.580 --> 00:14:47.240
strategic solutions. Think of it like we discussed.

00:14:47.080 --> 00:14:49.539
as that virtual consulting team capable of delivering

00:14:49.539 --> 00:14:51.580
professional -grade analysis, building tangible

00:14:51.580 --> 00:14:54.379
assets in minutes, not the weeks or months we're

00:14:54.379 --> 00:14:57.000
used to. And the real key to unlocking its full

00:14:57.000 --> 00:14:59.299
power, getting those really impressive, sometimes

00:14:59.299 --> 00:15:02.039
astonishing results, lies in the specificity

00:15:02.039 --> 00:15:04.639
of your instructions, using that comprehensive

00:15:04.639 --> 00:15:06.860
seven -step prompt framework we walked through.

00:15:07.200 --> 00:15:08.980
Absolutely. And that investment, you know, around

00:15:08.980 --> 00:15:12.870
$20 a month. It can deliver truly invaluable

00:15:12.870 --> 00:15:16.570
strategic insights and just massive time savings

00:15:16.570 --> 00:15:19.169
for almost any business. So we really encourage

00:15:19.169 --> 00:15:21.110
you, if this sounds interesting, to actually

00:15:21.110 --> 00:15:23.710
try one of these strategies this week. Pick the

00:15:23.710 --> 00:15:26.509
use case that really tackles your most pressing

00:15:26.509 --> 00:15:28.629
business challenge right now and just give it

00:15:28.629 --> 00:15:31.669
a shot. So yeah, what does all this really mean

00:15:31.669 --> 00:15:34.360
for you, the listener? going forward. Well, I

00:15:34.360 --> 00:15:36.960
think the future of business strategy isn't just

00:15:36.960 --> 00:15:39.120
going to be about having access to information

00:15:39.120 --> 00:15:40.919
or even just having more information than the

00:15:40.919 --> 00:15:42.820
next person. Right. It's increasingly going to

00:15:42.820 --> 00:15:45.379
be about having tools that can intelligently

00:15:45.379 --> 00:15:48.559
turn that raw information into actionable plans,

00:15:48.779 --> 00:15:50.940
into interactive dashboards you can use daily,

00:15:51.399 --> 00:15:53.419
into automated systems that actually work for

00:15:53.419 --> 00:15:56.059
you 24 -7. And it seems like Proplexity Labs

00:15:56.059 --> 00:15:58.100
brings that future, brings those capabilities

00:15:58.100 --> 00:16:00.840
directly into your business starting today. Thanks

00:16:00.840 --> 00:16:02.740
so much for diving deep with us on this. Until

00:16:02.740 --> 00:16:04.679
next time, keep learning and keep building.
