WEBVTT

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Imagine, just for a second, having this whole

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team of specialized AI experts ready whenever

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you need them. Yeah, like a top film director

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for your ads. Exactly. Or a star salesperson

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finding leads, maybe even a sharp financial analyst,

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all just there instantly. And that's kind of

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futuristic, right? It does. But today, we're

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actually diving deep into a tool that's making

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that feel very, very real. Welcome to the deep

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dive, everyone. So today our mission is to really

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unpack something pretty powerful Perplexity Labs.

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And look, this isn't just another AI churning

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out text or answering basic questions. We're

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talking about something that goes way further.

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It creates actual usable stuff. Think dynamic

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visual storyboards, dashboards you can interact

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with, even complete contact lists you can actually

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use. Yeah, actionable deliverables is the key

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phrase here, I think. Totally. It's this new

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AI agent product from Perplexity. It's still

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kind of flying under the radar a bit. A little

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bit, yeah. But what it can do is... Well, it's

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pretty extraordinary. So we're gonna explore

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what makes it different really get into his specialized

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agents and Maybe compare it to some other AI

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tools. You might already know and Yes, we need

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to talk about the price tag. It's $20 a month.

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Yeah, but stick with us because by the end of

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this deep dive You might really see why that

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investment could actually be a game changer for

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your business How it could simplify things you

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thought needed, you know a whole team absolutely

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now To really understand why perplexity labs

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feels like such a breakthrough, we probably need

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to step back and look at the whole perplexity

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ecosystem first. Good point. Because beyond just

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standard web search, perplexity already has that

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deep research mode, right, for really digging

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into stuff. Yeah, which is already pretty powerful

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for complex topics. Gathering different sources,

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pulling it all together quickly, much better

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than standard search sometimes. For sure. It's

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a big step up if you're tired of just surface

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level results. But perplexity labs, that feels

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like where things really shift, doesn't it? It's

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not just giving you information back. No, exactly.

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It's handing you something finished. Labs isn't

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just like spitting out text snippets or a quick

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summary. It's actually crafting complete. Usable

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solutions, we're talking tangible assets. Visual

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storyboards ready for production. Interactive

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dashboards you can filter export data from. Detailed

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reports, charts embedded right in them. And yeah,

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even those contact databases with emails, sometimes

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public phone numbers. It's built for business

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output. Okay, so if I'm getting this right, its

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strengths are in things like creating visuals,

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really deep data collection, building functional

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dashboards, and then actually generating files

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you can use, like CSVs for your CRM or sales

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tool. And what I found really important, it shows

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you how it got there, that step -by -step reasoning.

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Yeah, that reasoning trace is huge, isn't it?

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It really is. Builds trust. Totally. It lets

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you kind of peek behind the curtain, see its

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thought process, so you can spot if it... misunderstood

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something or went off track. Like seeing the

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code behind the magic trick. Exactly. Makes it

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powerful, but also transparent, auditable. So

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bottom line, it's less about just getting answers

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and more about getting these fully functional

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tools generated for you. Precisely. It delivers

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complete, actionable business tools. Stuff you

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can plug right into your workflow or just hand

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off to your team. Okay, so moving from that foundation,

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let's get into some specific examples, these

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agents. Let's do it. And one of the most visually

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striking ones, the one that really grabbed my

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attention, is the film director agent. Oh, yeah.

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That one's cool. It's not just writing scripts.

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It feels like it's about rapidly prototyping

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whole visual ideas. Right. Think about the normal

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way you'd make a video ad. Ideation, storyboards,

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script, back and forth, revisions. It takes ages.

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Weeks, sometimes months. This agent just crushes

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that timeline. So picture this. You give it a

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prompt. Develop an eight -minute short ad film.

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Sustainable coffee brand, the Highland Brew.

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Story about a young female barista. Maybe she

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dreams of sourcing beans in Vietnam. Give me

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six storyboards and the full screenplay. And

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the output is... Well, it's genuinely surprising.

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It is. It doesn't just give you some generic

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character outline. It creates a detailed profile,

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like a Nian, 24 -year -old barista, gives her

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psychological depth a backstory. Which makes

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the story richer. Definitely. And then it generates

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actual visual sketches for the storyboards, detailed

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ones. Yeah, they're not just empty boxes. No,

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you could use them as reference for video tools

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like VO or Kling, you know, the ones turning

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concepts into motion. Or even just quick thumbnails

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for YouTube. Super practical. The application

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there is just immediate. Right. And then beyond

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the visuals, you get the full screenplay. Scene

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descriptions, dialogue, even technical notes.

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Like lighting cues, camera angles. Yeah. Soft,

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sad lighting, specific camera angles, emotional

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cues for the actors. It actually understands

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filmmaking language. It's kind of wild. So, okay,

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an ad film is one obvious use. But how else could

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businesses use this film director agent, do you

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think? Lots of ways. Quick marketing videos,

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maybe prototyping social media video strategies,

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designing presentations that are more engaging,

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even creating immersive training modules. Bringing

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complex ideas to visual life quickly. Exactly.

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In minutes, not weeks. Let's pivot now to an

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agent that I think might be immediately useful

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for almost any business, the salesperson agent.

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This thing's designed to find potential customers

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for you. Gather their contact info. Wow. And

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even help craft personalized outreach messages.

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It's like having a dedicated prospecting team

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working 24 -7. That sounds incredibly powerful.

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So how specific can you be when you tell it who

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you're looking for, your target market? You can

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get really precise, feed it detailed parameters,

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like you could say... Give me an example. Sure.

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We are a Vietnamese software company. We make

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CRM for small and medium businesses, SMEs in

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the food and beverage sector, F &B, across Southeast

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Asia. Our targets are restaurant owners, coffee

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shop chains, hotel managers. Then you just ask

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for the specific details you need. The clearer

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you are, the better the results, obviously. And

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what does it actually give you back? What's the

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deliverable? It builds you an entire interactive

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dashboard. Dashboard, OK. Yeah. It includes names

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of decision makers, email addresses, phone numbers

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if they're public, company addresses, little

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descriptions of their business, and even suggestions

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for how to start that first personalized outreach.

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It's like a whole lead gen system. I tried this

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one out. It actually pulled details on some well

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-known chains, founder names, got procurement

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email addresses. And yeah, those email templates

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were tailored. It even seemed to rank prospects

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by relevance. See? Huge time saver. Definitely.

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And what's really cool is the dashboard itself.

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You can filter it by industry or company size,

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copy emails with just one click, export the whole

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thing as a CSV file for your own CRM. Ah, the

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export is key. Totally. And you get those custom

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outreach templates right there. It's really built

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for action. OK, next up. Growing an online audience.

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We all know how hard that is these days. It's

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so crowded. Tell me about it. Well, there's a

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social media strategist agent that aims to kind

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of take the guesswork out of creating content,

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give you a real plan. Yeah, this one's pretty

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smart because you can tell it to analyze successful

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creators in any field. Doesn't have to be yours.

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Oh, interesting. And learn their strategies.

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Yeah. So you could say, OK, I want to build a

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personal brand around sustainable living for

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urban millennials. analyze, say, a successful

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finance channel that targets Gen Z, figure out

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their content strategy, how they distribute it.

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So it learns from what works elsewhere and applies

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it to your specific niche. Exactly. It adapts

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winning formulas. And how detailed does it get?

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Does it break down the strategy? Oh, yeah, absolutely.

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It starts with a really solid niche analysis,

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looks at growth potential, who the competition

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is, how you might monetize, then identifies these

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core content. Frameworks. Frameworks. Like templates.

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Kinda. Like, it might identify a successful six

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-part structure that goes from a strong hook

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all the way to offering a unique perspective.

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That kind of structural insight is gold for creators.

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And I saw it even gave, like, specific percentages

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for content types. Yeah. That was cool. Like,

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40 % educational content, 25 % inspirational,

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20 % personal branding stuff, 10 % pure entertainment,

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maybe 5 % soft promotion. That's really granular.

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helps plan a balanced content calendar. For sure.

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It quantifies the mix. And if you set a big goal,

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like I want 100 ,000 followers in 90 days, the

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agent just lays out the stark reality. It's like,

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OK, that means getting 1 ,111 new followers every

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single day, over a million views a month. You'll

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need to post three, four times daily, probably

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spend $5 ,000 to $10 ,000 a month on ads, and

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dedicate maybe six, eight hours just to content

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creation every day. Whoa. Imagine the sheer effort

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needed to hit those kinds of numbers, and it

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really puts it into perspective. Doesn't it?

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It makes it real. No magic wands here. It really

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does. Paints a very clear picture. And then it

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actually builds out a full 90 -day content calendar

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with daily ideas, hooks, calls to action, even

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hashtag strategies for different platforms. Yep.

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The whole roadmap. tailored to platforms like

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Instagram or LinkedIn if you specify. So essentially

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it delivers a comprehensive content plan ready

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to go. Absolutely a super detailed actionable

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plan you could literally start working on tomorrow.

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Okay now this next one might be the most sophisticated

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agent in the whole suite. The one that really

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gets into complex data. Ah, the financial analyst.

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Yeah. This one's impressive. It seems to handle

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investment strategies, market analysis, detailed

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financial breakdowns with a lot of depth. It

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really does. And you can guide it with your own

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philosophy. Like, you can tell it, my approach

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is value investing. I'm focused on green tech

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and renewable energy startups. I believe in long

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-term sustainability. And it uses that input.

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Yeah, it tailors the entire analysis based on

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your specific criteria. It's not just generic

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advice. So what kind of framework does it actually

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produce then? It generates a pretty complete

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investment framework. You get detailed risk assessment

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charts, calculations for expected returns, company

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valuations, deep dives into market analysis,

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even specific stock recommendations based on

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your criteria. It's almost like having a junior

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analyst working for you. Kinda, yeah. Someone

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who can sift through tons of financial data really

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quickly. And the visuals are good too, right?

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I saw examples of... Valuation charts comparing

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fair value to market price risk return profiles.

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Yeah, they looked quite professional Yeah, the

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visuals are definitely top -notch and for that

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green tech example We use it actually broke it

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down into specific investment categories Oh really

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like what like green value plays green infrastructure

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pure play green businesses traditional companies

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integrating green tech green hardware and materials

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and even green software and platforms It really

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dissects the market landscape for you Okay, but

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here's where things get really interesting, I

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think. The true power of labs often comes when

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you start combining these agents. Ah, using them

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together. Makes sense. Yeah. So imagine you're

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launching a new product line. Say, biodegradable

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packaging. Okay. You could basically orchestrate

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a full business plan using these different agents

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in sequence. So where would you start? With the

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financial analyst, maybe? Exactly. You'd use

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the financial analyst first. Get it to analyze

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the sustainable packaging market, identify the

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key players, look at growth rates, maybe focus

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specifically on the food and beverage industry

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in Southeast Asia. Right. Get that foundational

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market data and strategy. Then you take those

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insights and hand them off to the social media

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strategist. OK. Next step. Yeah. That agent then

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crafts, say, a three -month product launch plan,

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builds out a detailed content calendar for Instagram

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and LinkedIn, specifically targeting coffee shops,

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restaurants. Whatever your target is like stacking

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building blocks data then strategy exactly like

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Lego blocks of data and strategy Then to actually

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get the leads you bring in the salesperson agent

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precisely the salesperson agent builds you that

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dashboard Maybe finds 50 prime prospects in Vietnam

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and Thailand who are known for being sustainability

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conscious gets you the manager emails Generates

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those intro templates. So you go from market

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insights right to targeted outreach. Yep, and

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then Maybe to wrap it all up, tell your story

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visually. The film director agent comes back

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in. You got it. The film director creates a script

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and storyboard for maybe a quick 60 -second ad,

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shows the journey from raw materials to the finished

00:12:42.120 --> 00:12:44.620
packaging, highlighting the environmental benefits.

00:12:44.879 --> 00:12:47.580
Wow. So you can literally go from just an idea

00:12:47.580 --> 00:12:51.240
to a full, actionable business launch plan covering

00:12:51.240 --> 00:12:54.120
all the key bases. Market research, check. Marketing

00:12:54.120 --> 00:12:57.870
materials, check. Sales leads, check. All coordinated,

00:12:58.090 --> 00:12:59.830
all generated potentially in just a few hours.

00:12:59.970 --> 00:13:02.509
It's an incredible accelerator. Sponsor. OK,

00:13:02.590 --> 00:13:04.629
so we've talked a lot about the impressive capabilities

00:13:04.629 --> 00:13:06.870
here, but let's bring it back down to Earth a

00:13:06.870 --> 00:13:09.110
bit. Where does Perplexity Labs really fit in

00:13:09.110 --> 00:13:11.830
the whole AI landscape? Because no single tool

00:13:11.830 --> 00:13:14.210
is perfect, right? You're absolutely right. Nothing

00:13:14.210 --> 00:13:16.590
does everything. So if we compare it to something

00:13:16.590 --> 00:13:20.070
like JetGPT. Yeah. Labs really shines with its

00:13:20.070 --> 00:13:22.129
deep research, the visual creation we talked

00:13:22.129 --> 00:13:24.509
about, building those interactive dashboards,

00:13:24.610 --> 00:13:27.330
and pulling out real -world data you can export.

00:13:28.190 --> 00:13:30.730
OK. Chad GPT, though, is generally still better

00:13:30.730 --> 00:13:33.809
for more open -ended creative writing, general

00:13:33.809 --> 00:13:36.590
conversation, and probably more complex coding

00:13:36.590 --> 00:13:39.570
tasks. They have different strengths, often quite

00:13:39.570 --> 00:13:41.230
complementary, actually. And what about comparing

00:13:41.230 --> 00:13:44.929
it to Claude? Well... Versus Claude, Labs has

00:13:44.929 --> 00:13:47.950
that edge with real -time data access, the visuals,

00:13:48.350 --> 00:13:50.470
those specific business apps like the agents,

00:13:50.870 --> 00:13:53.309
and the contact databases. But Claude has its

00:13:53.309 --> 00:13:55.789
strengths, too. Oh, yeah. Claude often excels

00:13:55.789 --> 00:13:58.509
at really complex reasoning, understanding tricky

00:13:58.509 --> 00:14:01.789
nuances in context. And it can handle much longer

00:14:01.789 --> 00:14:04.350
documents because of its larger context window.

00:14:04.509 --> 00:14:06.269
So again, different tools for different jobs.

00:14:06.730 --> 00:14:08.830
Understanding that niche is key. Now, with all

00:14:08.830 --> 00:14:10.970
this power, it's easy to maybe get a bit carried

00:14:10.970 --> 00:14:13.070
away. But it's really important to remember this

00:14:13.070 --> 00:14:16.190
isn't some magic bullet. What are the main limitations

00:14:16.190 --> 00:14:18.330
we need to keep in mind? Yeah, super important

00:14:18.330 --> 00:14:21.570
point. The biggest one is verification. You absolutely

00:14:21.570 --> 00:14:23.710
must double check the information it gives you.

00:14:24.350 --> 00:14:27.230
Contact details can be outdated. Financial data

00:14:27.230 --> 00:14:29.809
always needs cross -referencing with official

00:14:29.809 --> 00:14:33.090
sources. It's an amazing assistant, but... it's

00:14:33.090 --> 00:14:35.570
not infallible, it's not an oracle. Even grounded

00:14:35.570 --> 00:14:38.610
in web data, those AI hallucinations can still

00:14:38.610 --> 00:14:41.549
happen. They can. Less likely, perhaps, than

00:14:41.549 --> 00:14:44.450
with purely creative models, but yeah, you always

00:14:44.450 --> 00:14:46.389
need a healthy dose of skepticism. That makes

00:14:46.389 --> 00:14:49.639
sense. So human oversight is just... Non -negotiable

00:14:49.639 --> 00:14:52.019
total. It's a powerful assistant. Yes, but it's

00:14:52.019 --> 00:14:55.200
not replacing your strategic thinking your critical

00:14:55.200 --> 00:14:57.460
judgment You know, I still wrestle with ensuring

00:14:57.460 --> 00:15:00.480
AI output lines up perfectly with my own sort

00:15:00.480 --> 00:15:02.899
of nuanced intent Sometimes yeah, there's always

00:15:02.899 --> 00:15:06.039
that final human layer needed to really make

00:15:06.039 --> 00:15:08.899
it work to tailor it. Absolutely It's about letting

00:15:08.899 --> 00:15:11.379
the tool do the heavy lifting by freeing you

00:15:11.379 --> 00:15:13.700
up for the strategic stuff, the creative insights,

00:15:14.139 --> 00:15:16.360
the qualitative judgment that only a human can

00:15:16.360 --> 00:15:19.059
really provide. So boiling it down, the key takeaway

00:15:19.059 --> 00:15:23.139
on limitations is it's a powerful tool, but not

00:15:23.139 --> 00:15:25.799
a source of absolute truth. Always verify, always

00:15:25.799 --> 00:15:28.399
oversee. Spot on. Use it to amplify your efforts,

00:15:28.559 --> 00:15:32.139
definitely. But never, ever outsource your critical

00:15:32.139 --> 00:15:34.720
thinking. OK, so let's try to wrap this up, bringing

00:15:34.720 --> 00:15:37.620
it all back. Perplexity Labs really feels like

00:15:37.620 --> 00:15:41.190
a uniquely practical AI tool. It seems highly

00:15:41.190 --> 00:15:43.750
specialized for creating these actionable business

00:15:43.750 --> 00:15:46.970
deliverables. That feels quite different in the

00:15:46.970 --> 00:15:49.269
current AI space. I agree. It's about getting

00:15:49.269 --> 00:15:52.299
concrete things done and done quickly. its ability

00:15:52.299 --> 00:15:54.919
to generate visuals, collect real -world data

00:15:54.919 --> 00:15:57.960
in usable formats, build those interactive dashboards.

00:15:58.279 --> 00:16:00.279
That really sets it apart from a lot of the more

00:16:00.279 --> 00:16:02.580
general purpose AI tools out there. Yeah, those

00:16:02.580 --> 00:16:04.720
specialized functions are its core strength,

00:16:04.720 --> 00:16:06.740
I think. And it probably works best as a really

00:16:06.740 --> 00:16:09.100
powerful assistant within a broader AI toolkit,

00:16:09.600 --> 00:16:11.360
right? Complementing other tools, maybe like

00:16:11.360 --> 00:16:14.259
ChatGPT for writing or Claude for deep analysis.

00:16:14.419 --> 00:16:16.639
Exactly, it's part of an ecosystem, using the

00:16:16.639 --> 00:16:18.779
right tool for the right job. A more integrated

00:16:18.779 --> 00:16:21.509
approach to work. That's the real power, I think.

00:16:21.649 --> 00:16:24.350
It's not about replacement. It's about amplification,

00:16:24.990 --> 00:16:26.710
making you more capable. You know, the future

00:16:26.710 --> 00:16:30.169
of business, it really does seem to belong to

00:16:30.169 --> 00:16:33.029
those who can effectively leverage tools like

00:16:33.029 --> 00:16:34.870
this one. It's about getting ahead of the curve,

00:16:35.009 --> 00:16:37.649
not just trying to keep pace. The competitive

00:16:37.649 --> 00:16:40.429
advantage for people who adopt this early, it

00:16:40.429 --> 00:16:44.210
feels pretty significant and tangible. It really

00:16:44.210 --> 00:16:46.370
does. Don't wait for everyone else to figure

00:16:46.370 --> 00:16:48.809
this stuff out. The chance to fundamentally change

00:16:48.809 --> 00:16:52.230
how you work starting right now is huge. So a

00:16:52.230 --> 00:16:54.610
final thought maybe for you listening right now.

00:16:54.759 --> 00:16:58.799
What new agent or maybe what new combined workflow

00:16:58.799 --> 00:17:02.019
could you imagine creating with this kind of

00:17:02.019 --> 00:17:04.099
technology? Something that goes beyond what we've

00:17:04.099 --> 00:17:06.259
even talked about today. Think about how you

00:17:06.259 --> 00:17:08.960
could reshape your own daily tasks or maybe even

00:17:08.960 --> 00:17:11.259
your entire business model using these capabilities.

00:17:11.480 --> 00:17:13.500
That's definitely a deep thought for a deep dive.

00:17:13.700 --> 00:17:15.420
Thanks for joining us today. Out to your own

00:17:15.420 --> 00:17:15.660
music.
