WEBVTT

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Imagine a new kind of workforce, maybe a team

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of experts working tirelessly, you know, around

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the clock for mere pennies. This isn't science

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fiction or some far off promise. It's actually

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happening right now. And it's fundamentally reshaping

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how we work, how we build businesses. Welcome

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to the deep dive. Today, we're taking a close

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look at a quiet. yet profound revolution in artificial

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intelligence. It's already well underway. That's

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right. Yeah. In this deep dive, we're going to

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pull back the curtain on ChatGPT's powerful new

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agent mode. We'll explore six really surprising

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automations that can not only free up your time,

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but actually generate revenue. We'll also break

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down exactly how you can command this new AI

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workforce, touch on its current limitations,

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and then maybe most importantly, unpack the really

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profound implications for the future of work

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itself. Okay, so let's start with what feels

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like, well, a seismic shift. For a long time,

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many of us have used tools like ChatGPT as a

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kind of super -powered search engine, right?

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You ask a question, it gives you an answer. But

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with this new capability, we're moving far beyond

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just simple Q &A. Absolutely. Yeah, OpenAI recently

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rolled out this feature that for just, what,

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$20 a month? It's poised to genuinely disrupt

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entire categories of existing software. Almost

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overnight. I mean, think about it. Traditional

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virtual assistants, data scraping tools, even

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sophisticated copywriting services, professional

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research firms. they're all facing a pretty significant

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challenge now. And it's not just about one AI

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assistant either. This new mode, it lets you

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deploy multiple AI agents simultaneously, each

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one tackling complex work that used to require

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several human specialists. Picture this. One

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agent meticulously digging through your, say,

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your private calendar, preparing detailed briefing

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documents for upcoming meetings. While that's

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running, maybe a second agent is scouring the

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web, finding 20 qualified sales leads in Paris,

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complete with their precise contact info. And

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at the same time, maybe a third agent is analyzing

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hundreds of Amazon reviews to build a comprehensive

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competitive analysis for your next product idea.

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These are tasks that previously took... Teams

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of humans hours, you know, grinding manual work.

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Now they're completed in minutes, often with

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just a single clear command. So when we talk

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about AI acting autonomously versus just answering

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our questions, what's the core difference you

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see there? It's really moving from conversation

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to command. AI actively does things now. And

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here's what's kind of easy to overlook. Most

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people, they'll simply miss this opportunity.

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They'll just keep treating this revolutionary

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tech like a slightly smarter Google. You know,

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for brainstorming or writing funny poems. Right.

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And yet at the same time, there's this small,

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highly adaptable group of entrepreneurs already

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leveraging this exact same technology to automate

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entire revenue streams. They're not just thinking

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about it. They're actually building tangible

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businesses. Yeah. The gap between those who get

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this and those who don't is expanding rapidly.

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And frankly, this isn't just some trend. It feels

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like a tidal wave for anyone who's watched tech

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evolve, you know, the last 20 years, Internet,

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mobile life. This feels different. It's accelerating

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at a really unprecedented pace. Why do you think

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this particular shift is moving so much faster

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than past tech revolutions we've seen? Well,

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I think it's compounding human effort. It's creating

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these instant autonomous workforces. OK, now

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let's explore some of these powerful automations.

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Each one honestly could be the foundation for

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a standalone business you could probably launch

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this week. First up, something we're calling

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the website. Goldmine generator. Right. The mission

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here is pretty straightforward. Build highly

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targeted lead lists, specifically businesses

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that are ready and maybe even eager for a website

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upgrade. OK, so the prompt on the surface, it

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seems deceptively simple. It's something like

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provide a list of 20 plumbers in Paris who already

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have websites. Then gather as much contact info

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for the owners as possible, specifically email.

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And if you can find it, cell phone numbers. Put

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all this data into a Google sheet. Move fast.

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Cross -reference your findings with business

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directories like Manta to get harder to find

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information. Yeah, and the strategic insight

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here is absolutely crucial. You're not looking

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for businesses without websites. That's a common

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mistake, right? If they've survived this long

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without one, they probably don't really value

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an online presence. The real goldmine is businesses

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with existing but clearly outdated websites.

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They've already shown they're willing to invest.

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They just need a better solution. Exactly. And

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the result, in about 30 minutes, the AI agent

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delivered this perfectly organized CSV file.

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It had 20 plumbers in Paris, their website URLs,

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owners' names, phone numbers, direct email addresses.

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This is a lead list. I mean, a professional data

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service would easily charge maybe $500 for this.

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And it was created with just one sentence. Okay,

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next up, the creepy good cold email machine.

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Creepy good, I like that. This goes way beyond

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just lead gen, though. Its mission is to fully

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automate the personalized outreach process itself.

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So the prompt here was very specific. Create

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a list of five dentists in Rome, owners only.

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Write five highly personalized cold emails for

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each. Make them as detailed as possible, you

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know, stalker level detail. Let them know I specialize

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in SEO for dentists in Rome and would love to

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set up a call. And here's where the real magic

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happened. For one of these dentists, the AI didn't

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just find the name in practice. It scoured the

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web for their entire professional journey, university,

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fellowships, accreditations, even personal hobbies

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like running Spartan races or paddleboarding.

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Yeah, imagine getting an email that opens by

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acknowledging, say, Studio Riosani's 25 -year

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legacy. Then it seamlessly weaves in details

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about specific specializations like facial aesthetics,

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postural dentistry. It even suggested SEO terms

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like sedation dentist Rome or hypnosis dentistry

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tailored to their unique services. It showed

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this profound contextual understanding of the

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person and their practice. And the time investment

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for that kind of really deep research and five

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hyper personalized emails, just 14 minutes, seriously.

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And the time it takes to grab a coffee, the AI

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automated creating rapport, building that initial

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relationship. Crazy. Okay. And then we have the

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meeting prep wizard. Right. The mission here

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is automating that, well, often tedious but absolutely

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crucial task of preparing for important meetings.

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Imagine giving it this prompt. Review my calendar

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for next week's meetings. For each person I'm

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meeting with, research their company's recent

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updates and any personal news. Prepare a detailed

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briefing document for each meeting, including

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suggested talking points. The execution is just

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fascinating. You give it access to your Google

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Calendar, right? And the agent spent nine minutes

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autonomously researching every single person

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on the user's schedule for the whole next week.

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It didn't just do a simple search. It actively

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found recent press releases, podcast interviews,

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news articles, then synthesized it all. It even

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formulated its own strategic opinions about what

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the user should discuss to forge the strongest

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connection. And here's the really remarkable

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part, maybe even a little scary. The agent builds

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a persistent memory. It starts to remember everything

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about your business, your network. In that test,

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it even unearthed facts and connections about

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the user's own business partners that the user

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had genuinely forgotten. It's like having this

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incredibly diligent executive assistant who never

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misses a single detail. When you see the AI pulling

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this kind of deep contextual information, what's

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the most surprising impact you've observed on

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how these everyday tasks actually get done? It

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elevates outputs from just generic stuff to hyper

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-relevant, almost clairvoyant results. Okay,

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let's continue exploring what's now possible.

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Next up is the product research beast. Yeah,

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this one's about performing professional grade

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market research for a new product idea, completely

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on demand, like serious research. So the prompt

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for this was something like, I want to sell a

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healthy powdered energy drink on Amazon, research

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the top 10 competing products there, scrape hundreds

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of customer reviews, categorize the most frequent

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complaints, then create a feature list for a

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new product that addresses all those issues.

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And the intelligence report it generated. Incredible.

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Within minutes, the agent provided this detailed

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market analysis that, honestly, a professional

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firm would charge thousands for. It identified

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the biggest problems with existing products,

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backed by hard data. Taste issues at almost 36%,

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high price over 21%, clumping problems nearly

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11%, and so on. It presented this data super

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clearly, like in charts, and then gave a blueprint

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for the perfect product. features specifically

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designed to counter each complaint this isn't

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just research it's basically a complete product

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development strategy generated on demand wow

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then there's the business idea validator the

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mission here isn't just brainstorming concepts

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but actually validating them with real world

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data and importantly proven case studies right

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the prompt was analyze google trends for five

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potential business ideas that are low cost to

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start evaluate the competition for each Estimate

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the market size and give me an opportunity score

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out of 10 for each one. Okay. And the agent spent

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about 20 minutes analyzing trend data, then came

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back with a ranked list. Print -on -demand t

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-shirt printing got an 8 out of 10. Online reselling,

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a 7 out of 10. And here's the follow -up that

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makes it truly powerful. A second prompt. Okay,

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let's focus on print -on -demand. Find me four

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detailed case studies of real entrepreneurs who

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have successfully launched this type of business.

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Search Reddit, Facebook, X, niche blogs for their

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stories. I want to know their exact startup costs,

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first month revenue, key strategies they used.

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And the agent went out and found actual posts

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like from side hustle to $500K, how Printify

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helped this mom quit her job, complete with the

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detailed breakdowns of costs and marketing tactics.

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See, that's the difference between just having

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an idea and having a de -risked business plan

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backed by real proof. Finally, the pitch deck

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creator. Mission, create professional investor

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-ready pitch decks. Yeah, so the initial step

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was simple. Ask it to create a standard pitch

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deck for, say, that energy drink company. And

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it handled the market analysis, financials, competitive

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landscape, no problem. But then came this truly

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fascinating moment. We gave it a legendary reference,

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the original Airbnb pitch deck. The updated prompt

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asked the AI to redesign the entire presentation

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to match that style and structure. And here's

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the crucial part. It was asked to incorporate

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personal details about the user that it remembered

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from previous conversations to make the story

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more compelling. And the result was staggering.

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The AI didn't just mimic Airbnb's iconic style.

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It wove a personal narrative directly into the

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presentation. It included details about the user's

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background podcast host, specific business experience,

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social media following details never mentioned

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in that particular session. It was actively pulling

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from its comprehensive memory of all past interactions.

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It told a story. It delivered what looked like

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a $5 ,000 agency quality deck in under 15 minutes.

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I mean, imagine the sheer volume of personalized

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context -aware content an AI team like that could

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tackle simultaneously. It's truly remarkable.

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So how does the AI recalling past conversations

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really elevate its utility beyond just single

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task automation? I think it fosters a continuous

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evolving understanding. It becomes a true partner.

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Mid -role sponsor read. So knowing... all this

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power exists the uh the next logical question

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is how exactly do we command this new ai workforce

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because it's clearly not just a chat bot anymore

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it's something much closer to a dynamic team

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right the 60 second on -ramp starts with a really

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crucial mindset shift step zero Change your thinking.

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You're not just chatting with an AI anymore.

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You are an operator. You're issuing commands

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to a powerful, logical, sometimes very literal

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machine, your clarity of thought. That's your

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most valuable asset now. Okay. And on the technical

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side, this functionality is part of the premium

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offering. So you'll need to upgrade to a ChatGPT

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Plus account $20 a month. That's basically your

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cost of admission to this new economy. Once you're

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inside, you'll find a tools button. Clicking

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this reveals the option to select agent mode.

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That's the switch that transforms your chatbot

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into an autonomous worker. Exactly. And then

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you start simple. Then you gradually escalate.

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Your very first command shouldn't be build me

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a billion dollar company, right? Start with a

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simple self -contained task like one of the examples

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we just talked about. Learn the rhythm, learn

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how the agent responds before you give it those

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more complex multi -step missions. And getting

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truly expert level results, it isn't about finding

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some secret magic words. It really comes down

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to consistently following a few core principles.

00:12:29.860 --> 00:12:31.960
These are what we're calling the four commandments

00:12:31.960 --> 00:12:34.820
of effective agent prompting. Okay, first. The

00:12:34.820 --> 00:12:37.919
urgency principle. Just say, move fast. It sounds

00:12:37.919 --> 00:12:40.000
almost too simple, but including a command like

00:12:40.000 --> 00:12:42.720
move fast in your prompt genuinely changes how

00:12:42.720 --> 00:12:45.559
the agent behaves. It tends to cut out the verbose

00:12:45.559 --> 00:12:47.919
fluff and get straight to execution. Gives you

00:12:47.919 --> 00:12:50.000
more direct, actionable results, like getting

00:12:50.000 --> 00:12:52.139
a strong coffee without the long lecture, you

00:12:52.139 --> 00:12:55.639
know. Right. Second, the don't make me think

00:12:55.639 --> 00:12:58.539
principle. Always provide reference data. Never

00:12:58.539 --> 00:13:00.840
assume the agent just knows what a good result

00:13:00.840 --> 00:13:03.059
looks like in your specific context. You have

00:13:03.059 --> 00:13:05.279
to give it a precise map. Just asking for a pitch

00:13:05.279 --> 00:13:07.519
deck is often too vague. A much more effective

00:13:07.519 --> 00:13:09.600
prompt would be something like, create a pitch

00:13:09.600 --> 00:13:12.059
deck for my company. Use the attached Airbnb

00:13:12.059 --> 00:13:14.820
pitch deck as a structural and design reference.

00:13:15.100 --> 00:13:17.519
Oh, and here's a document with our key financial

00:13:17.519 --> 00:13:20.559
metrics. Totally. Third, the scoped search principle.

00:13:21.210 --> 00:13:23.669
Be specific about sources. The Internet is just

00:13:23.669 --> 00:13:27.049
vast, right? Telling an agent to find case studies

00:13:27.049 --> 00:13:29.210
is like asking someone to find a needle in a

00:13:29.210 --> 00:13:31.990
haystack the size of, well, Earth. You'll get

00:13:31.990 --> 00:13:34.429
much faster, much more accurate results by telling

00:13:34.429 --> 00:13:36.330
it exactly where to look. Don't just say find

00:13:36.330 --> 00:13:39.129
stories about successful entrepreneurs. Say scrape

00:13:39.129 --> 00:13:41.250
Reddit for entrepreneur and small business subreddits,

00:13:41.250 --> 00:13:43.549
specific Facebook groups and these niche blogs

00:13:43.549 --> 00:13:48.149
for their stories. Be precise. And fourth, the

00:13:48.149 --> 00:13:52.259
babysitter principle. Stay in the tab. Now, this

00:13:52.259 --> 00:13:55.100
is probably a temporary rule for a technology

00:13:55.100 --> 00:13:57.460
that's still pretty early days. When the agent

00:13:57.460 --> 00:13:59.559
is doing sensitive stuff, like working within

00:13:59.559 --> 00:14:02.039
your Google Calendar or Gmail, it's just best

00:14:02.039 --> 00:14:03.879
practice right now to stay on that browser tab

00:14:03.879 --> 00:14:06.820
and watch its progress. Think of it like a self

00:14:06.820 --> 00:14:09.419
-driving car in beta, incredibly capable, but

00:14:09.419 --> 00:14:11.200
maybe keep your hands near the wheel for now.

00:14:11.720 --> 00:14:14.559
I admit, sometimes I still catch myself treating

00:14:14.559 --> 00:14:16.860
it like a basic chatbot. Then I remember this

00:14:16.860 --> 00:14:20.179
rule and, uh... pay closer attention. Yeah, that's

00:14:20.179 --> 00:14:22.419
a good analogy. And look, this new agent mode,

00:14:22.600 --> 00:14:24.899
it's revolutionary, but it's important to remember

00:14:24.899 --> 00:14:27.580
it's still evolving. It definitely has some rough

00:14:27.580 --> 00:14:30.139
edges. Think of its current state like maybe

00:14:30.139 --> 00:14:33.039
a bustling, fast -paced kitchen. It looks kind

00:14:33.039 --> 00:14:34.860
of messy. You're not always sure how every chef

00:14:34.860 --> 00:14:37.980
coordinates, but somehow delicious results still

00:14:37.980 --> 00:14:40.399
emerge. Okay, so for security reasons, manual

00:14:40.399 --> 00:14:42.519
logins are still required. The agent can't yet

00:14:42.519 --> 00:14:44.379
just automatically log into all your accounts.

00:14:44.440 --> 00:14:46.559
You'll have to go through that OOF, the secure

00:14:46.559 --> 00:14:49.139
authorization process. the first time you give

00:14:49.139 --> 00:14:51.899
it access to a new service, though that'll undoubtedly

00:14:51.899 --> 00:14:54.679
get smoother over time. Definitely. Also, it

00:14:54.679 --> 00:14:56.440
wants you to stay observant when it's dealing

00:14:56.440 --> 00:14:59.100
with sensitive data. This is actually a crucial

00:14:59.100 --> 00:15:01.940
safety feature. It means you can't always just

00:15:01.940 --> 00:15:04.980
have it running completely unsupervised in the

00:15:04.980 --> 00:15:07.559
background. It ensures you stay in control while

00:15:07.559 --> 00:15:10.080
it handles sensitive information. Right. And

00:15:10.080 --> 00:15:12.299
some tasks... Particularly the really complex

00:15:12.299 --> 00:15:15.139
research. They do take time. You should expect

00:15:15.139 --> 00:15:18.940
maybe 20 to 30 minutes sometimes. It's performing

00:15:18.940 --> 00:15:21.679
the work of a human, essentially. And deep research

00:15:21.679 --> 00:15:23.620
just requires a certain amount of processing

00:15:23.620 --> 00:15:27.440
time, even for a powerful machine. Exactly. And

00:15:27.440 --> 00:15:30.120
finally, integrations can sometimes be a little

00:15:30.120 --> 00:15:32.639
bit glitchy. The Google Sheets integration, for

00:15:32.639 --> 00:15:34.720
example, has been known to be temperamental now

00:15:34.720 --> 00:15:37.320
and then. But these are precisely the kinds of

00:15:37.320 --> 00:15:39.580
early adopter bugs you expect, and they usually

00:15:39.580 --> 00:15:42.240
get ironed out pretty quickly after a major release.

00:15:42.559 --> 00:15:44.460
So how might these commandments you mentioned

00:15:44.460 --> 00:15:47.200
help someone maybe overcome that initial frustration

00:15:47.200 --> 00:15:50.200
when they first start experimenting with AI agents?

00:15:50.570 --> 00:15:52.750
They provide a clear framework for communication,

00:15:53.090 --> 00:15:56.629
basically guiding the AI effectively. But beyond

00:15:56.629 --> 00:15:59.190
the tactics, you know, the how -tos and this

00:15:59.190 --> 00:16:02.070
impressive list of automated tasks, there is

00:16:02.070 --> 00:16:04.710
a deeper, really profound shift happening here.

00:16:04.850 --> 00:16:06.649
This is what we've been calling the holy crap

00:16:06.649 --> 00:16:08.629
moment. The real game changer isn't just that

00:16:08.629 --> 00:16:11.970
the AI can do tasks. It's that chat GPT now remembers

00:16:11.970 --> 00:16:14.769
everything about you across all your conversations.

00:16:15.230 --> 00:16:16.789
Yeah, we saw that clearly with the pitch deck

00:16:16.789 --> 00:16:19.830
creator example. When that agent redesigned the

00:16:19.830 --> 00:16:22.049
pitch deck, it proactively included personal

00:16:22.049 --> 00:16:24.470
details about the user details never mentioned

00:16:24.470 --> 00:16:27.389
in that specific prompt. It seamlessly recalled

00:16:27.389 --> 00:16:30.330
the user's experience as a podcast host, their

00:16:30.330 --> 00:16:33.029
specific business background, even social media

00:16:33.029 --> 00:16:35.679
following. pulling from its perfect memory of

00:16:35.679 --> 00:16:38.139
all past interactions. This isn't just a tool

00:16:38.139 --> 00:16:40.299
anymore. It feels like the dawn of a true AI

00:16:40.299 --> 00:16:42.840
business partner, one with a perfect memory that

00:16:42.840 --> 00:16:44.860
understands your professional history and context

00:16:44.860 --> 00:16:46.759
maybe better than most human colleagues ever

00:16:46.759 --> 00:16:49.980
could. This level of persistent, evolving intelligence,

00:16:50.100 --> 00:16:53.580
it fundamentally changes everything. So if AI

00:16:53.580 --> 00:16:55.740
can remember everything you've ever told it,

00:16:55.840 --> 00:16:59.620
how does that fundamentally change our relationship

00:16:59.620 --> 00:17:02.320
with technology itself? it becomes less like

00:17:02.320 --> 00:17:04.660
a tool and more like an evolving, intelligent

00:17:04.660 --> 00:17:07.099
collaborator. And just to be clear, for anyone

00:17:07.099 --> 00:17:09.079
listening and wondering, these aren't just, you

00:17:09.079 --> 00:17:11.440
know, cool party tricks. These six automations

00:17:11.440 --> 00:17:13.519
we've discussed, they are the foundations of

00:17:13.519 --> 00:17:16.220
real, profitable solo businesses you could absolutely

00:17:16.220 --> 00:17:18.599
start this week. Yeah, totally. You could offer

00:17:18.599 --> 00:17:21.279
local business website audits using that plumber

00:17:21.279 --> 00:17:23.619
method to generate lead lists of businesses with

00:17:23.619 --> 00:17:26.980
outdated sites. Or a hyper -personalized cold

00:17:26.980 --> 00:17:29.819
email service using the dentist method to research

00:17:29.819 --> 00:17:32.559
prospects super deeply and write emails too personal

00:17:32.559 --> 00:17:35.210
to ignore. You could even offer meeting prep

00:17:35.210 --> 00:17:37.730
as a service for executives, like being their

00:17:37.730 --> 00:17:39.769
personal intelligence officer delivering perfect

00:17:39.769 --> 00:17:43.549
briefing docs daily for, say, $200 a month. Then

00:17:43.549 --> 00:17:45.789
there's product research for Amazon sellers using

00:17:45.789 --> 00:17:48.009
that energy drink method to analyze reviews and

00:17:48.009 --> 00:17:50.849
find market gaps. Automated competitor intelligence

00:17:50.849 --> 00:17:53.970
reports giving businesses monthly deep dive analyses.

00:17:54.269 --> 00:17:56.730
And of course, AI -powered pitch deck creation

00:17:56.730 --> 00:17:59.710
combining market research with pro design to

00:17:59.710 --> 00:18:02.029
turn a client's rough idea into an investor -ready

00:18:02.029 --> 00:18:04.759
deck. and super fast. Okay, so out of those,

00:18:04.880 --> 00:18:06.880
which business model do you find most immediately

00:18:06.880 --> 00:18:09.220
actionable for someone who is just getting started

00:18:09.220 --> 00:18:12.680
with AI agents? Lead generation or the personalized

00:18:12.680 --> 00:18:15.680
outreach seem like really strong, tangible starting

00:18:15.680 --> 00:18:18.460
points. Pretty straightforward. The bottom line

00:18:18.460 --> 00:18:22.880
here feels pretty clear. Adapt or, well, become

00:18:22.880 --> 00:18:25.589
a dinosaur. For those of us who have been building

00:18:25.589 --> 00:18:28.170
businesses online for decades, through the birth

00:18:28.170 --> 00:18:30.230
of the Internet, the rise of mobile, the social

00:18:30.230 --> 00:18:33.029
media explosion, this feels genuinely different.

00:18:33.130 --> 00:18:35.869
It feels bigger. Yeah, think about it. Yesterday,

00:18:36.069 --> 00:18:37.609
to do the kind of work we've just described,

00:18:37.890 --> 00:18:41.069
you would have needed a team. A VA, a data scraper,

00:18:41.130 --> 00:18:44.390
a copywriter, a research intern. That's a monthly

00:18:44.390 --> 00:18:47.730
payroll probably nearing $7 ,000. At the end

00:18:47.730 --> 00:18:50.349
of the day. Yeah. You need $20 and clarity of

00:18:50.349 --> 00:18:52.319
thought. What's truly striking, too, is that

00:18:52.319 --> 00:18:54.400
many existing software companies, those simple

00:18:54.400 --> 00:18:57.279
sauce apps, the Chrome extensions, data services

00:18:57.279 --> 00:19:00.140
that are really just thin wrappers around OpenAI's

00:19:00.140 --> 00:19:03.000
API, they're about to face profound irrelevance.

00:19:03.220 --> 00:19:05.819
OpenAI is just steadily, methodically expanding

00:19:05.819 --> 00:19:08.500
its capabilities, basically eating vast swaths

00:19:08.500 --> 00:19:10.859
of the Internet feature by feature. This is arguably

00:19:10.859 --> 00:19:13.299
the single greatest opportunity for the individual

00:19:13.299 --> 00:19:15.660
entrepreneur in history. The choice is yours.

00:19:16.099 --> 00:19:20.930
But the window to truly leverage this. It's evolving

00:19:20.930 --> 00:19:23.410
fast. If you're not exploring this right now,

00:19:23.490 --> 00:19:25.910
like literally this week, you might soon find

00:19:25.910 --> 00:19:28.109
yourself competing against people who have an

00:19:28.109 --> 00:19:30.710
entire AI workforce doing the job of a team for

00:19:30.710 --> 00:19:34.230
the price of a pizza. Your move. We really hope

00:19:34.230 --> 00:19:35.769
this deep dive has given you a vivid glimpse

00:19:35.769 --> 00:19:38.890
into these immense possibilities. Maybe take

00:19:38.890 --> 00:19:40.750
a moment to consider what this could mean for

00:19:40.750 --> 00:19:43.190
your own work, your own business. How might you

00:19:43.190 --> 00:19:45.859
begin to apply this knowledge? Yeah, maybe the

00:19:45.859 --> 00:19:47.960
provocative thought is this. What if the future

00:19:47.960 --> 00:19:50.059
of innovation isn't just about building new tools,

00:19:50.160 --> 00:19:52.660
but really about mastering the art of commanding

00:19:52.660 --> 00:19:54.880
this unseen workforce? Thank you for joining

00:19:54.880 --> 00:19:55.799
us on this deep dive.
