Imagine a new kind of workforce, maybe a team
of experts working tirelessly, you know, around
the clock for mere pennies. This isn't science
fiction or some far off promise. It's actually
happening right now. And it's fundamentally reshaping
how we work, how we build businesses. Welcome
to the deep dive. Today, we're taking a close
look at a quiet. yet profound revolution in artificial
intelligence. It's already well underway. That's
right. Yeah. In this deep dive, we're going to
pull back the curtain on ChatGPT's powerful new
agent mode. We'll explore six really surprising
automations that can not only free up your time,
but actually generate revenue. We'll also break
down exactly how you can command this new AI
workforce, touch on its current limitations,
and then maybe most importantly, unpack the really
profound implications for the future of work
itself. Okay, so let's start with what feels
like, well, a seismic shift. For a long time,
many of us have used tools like ChatGPT as a
kind of super -powered search engine, right?
You ask a question, it gives you an answer. But
with this new capability, we're moving far beyond
just simple Q &A. Absolutely. Yeah, OpenAI recently
rolled out this feature that for just, what,
$20 a month? It's poised to genuinely disrupt
entire categories of existing software. Almost
overnight. I mean, think about it. Traditional
virtual assistants, data scraping tools, even
sophisticated copywriting services, professional
research firms. they're all facing a pretty significant
challenge now. And it's not just about one AI
assistant either. This new mode, it lets you
deploy multiple AI agents simultaneously, each
one tackling complex work that used to require
several human specialists. Picture this. One
agent meticulously digging through your, say,
your private calendar, preparing detailed briefing
documents for upcoming meetings. While that's
running, maybe a second agent is scouring the
web, finding 20 qualified sales leads in Paris,
complete with their precise contact info. And
at the same time, maybe a third agent is analyzing
hundreds of Amazon reviews to build a comprehensive
competitive analysis for your next product idea.
These are tasks that previously took... Teams
of humans hours, you know, grinding manual work.
Now they're completed in minutes, often with
just a single clear command. So when we talk
about AI acting autonomously versus just answering
our questions, what's the core difference you
see there? It's really moving from conversation
to command. AI actively does things now. And
here's what's kind of easy to overlook. Most
people, they'll simply miss this opportunity.
They'll just keep treating this revolutionary
tech like a slightly smarter Google. You know,
for brainstorming or writing funny poems. Right.
And yet at the same time, there's this small,
highly adaptable group of entrepreneurs already
leveraging this exact same technology to automate
entire revenue streams. They're not just thinking
about it. They're actually building tangible
businesses. Yeah. The gap between those who get
this and those who don't is expanding rapidly.
And frankly, this isn't just some trend. It feels
like a tidal wave for anyone who's watched tech
evolve, you know, the last 20 years, Internet,
mobile life. This feels different. It's accelerating
at a really unprecedented pace. Why do you think
this particular shift is moving so much faster
than past tech revolutions we've seen? Well,
I think it's compounding human effort. It's creating
these instant autonomous workforces. OK, now
let's explore some of these powerful automations.
Each one honestly could be the foundation for
a standalone business you could probably launch
this week. First up, something we're calling
the website. Goldmine generator. Right. The mission
here is pretty straightforward. Build highly
targeted lead lists, specifically businesses
that are ready and maybe even eager for a website
upgrade. OK, so the prompt on the surface, it
seems deceptively simple. It's something like
provide a list of 20 plumbers in Paris who already
have websites. Then gather as much contact info
for the owners as possible, specifically email.
And if you can find it, cell phone numbers. Put
all this data into a Google sheet. Move fast.
Cross -reference your findings with business
directories like Manta to get harder to find
information. Yeah, and the strategic insight
here is absolutely crucial. You're not looking
for businesses without websites. That's a common
mistake, right? If they've survived this long
without one, they probably don't really value
an online presence. The real goldmine is businesses
with existing but clearly outdated websites.
They've already shown they're willing to invest.
They just need a better solution. Exactly. And
the result, in about 30 minutes, the AI agent
delivered this perfectly organized CSV file.
It had 20 plumbers in Paris, their website URLs,
owners' names, phone numbers, direct email addresses.
This is a lead list. I mean, a professional data
service would easily charge maybe $500 for this.
And it was created with just one sentence. Okay,
next up, the creepy good cold email machine.
Creepy good, I like that. This goes way beyond
just lead gen, though. Its mission is to fully
automate the personalized outreach process itself.
So the prompt here was very specific. Create
a list of five dentists in Rome, owners only.
Write five highly personalized cold emails for
each. Make them as detailed as possible, you
know, stalker level detail. Let them know I specialize
in SEO for dentists in Rome and would love to
set up a call. And here's where the real magic
happened. For one of these dentists, the AI didn't
just find the name in practice. It scoured the
web for their entire professional journey, university,
fellowships, accreditations, even personal hobbies
like running Spartan races or paddleboarding.
Yeah, imagine getting an email that opens by
acknowledging, say, Studio Riosani's 25 -year
legacy. Then it seamlessly weaves in details
about specific specializations like facial aesthetics,
postural dentistry. It even suggested SEO terms
like sedation dentist Rome or hypnosis dentistry
tailored to their unique services. It showed
this profound contextual understanding of the
person and their practice. And the time investment
for that kind of really deep research and five
hyper personalized emails, just 14 minutes, seriously.
And the time it takes to grab a coffee, the AI
automated creating rapport, building that initial
relationship. Crazy. Okay. And then we have the
meeting prep wizard. Right. The mission here
is automating that, well, often tedious but absolutely
crucial task of preparing for important meetings.
Imagine giving it this prompt. Review my calendar
for next week's meetings. For each person I'm
meeting with, research their company's recent
updates and any personal news. Prepare a detailed
briefing document for each meeting, including
suggested talking points. The execution is just
fascinating. You give it access to your Google
Calendar, right? And the agent spent nine minutes
autonomously researching every single person
on the user's schedule for the whole next week.
It didn't just do a simple search. It actively
found recent press releases, podcast interviews,
news articles, then synthesized it all. It even
formulated its own strategic opinions about what
the user should discuss to forge the strongest
connection. And here's the really remarkable
part, maybe even a little scary. The agent builds
a persistent memory. It starts to remember everything
about your business, your network. In that test,
it even unearthed facts and connections about
the user's own business partners that the user
had genuinely forgotten. It's like having this
incredibly diligent executive assistant who never
misses a single detail. When you see the AI pulling
this kind of deep contextual information, what's
the most surprising impact you've observed on
how these everyday tasks actually get done? It
elevates outputs from just generic stuff to hyper
-relevant, almost clairvoyant results. Okay,
let's continue exploring what's now possible.
Next up is the product research beast. Yeah,
this one's about performing professional grade
market research for a new product idea, completely
on demand, like serious research. So the prompt
for this was something like, I want to sell a
healthy powdered energy drink on Amazon, research
the top 10 competing products there, scrape hundreds
of customer reviews, categorize the most frequent
complaints, then create a feature list for a
new product that addresses all those issues.
And the intelligence report it generated. Incredible.
Within minutes, the agent provided this detailed
market analysis that, honestly, a professional
firm would charge thousands for. It identified
the biggest problems with existing products,
backed by hard data. Taste issues at almost 36%,
high price over 21%, clumping problems nearly
11%, and so on. It presented this data super
clearly, like in charts, and then gave a blueprint
for the perfect product. features specifically
designed to counter each complaint this isn't
just research it's basically a complete product
development strategy generated on demand wow
then there's the business idea validator the
mission here isn't just brainstorming concepts
but actually validating them with real world
data and importantly proven case studies right
the prompt was analyze google trends for five
potential business ideas that are low cost to
start evaluate the competition for each Estimate
the market size and give me an opportunity score
out of 10 for each one. Okay. And the agent spent
about 20 minutes analyzing trend data, then came
back with a ranked list. Print -on -demand t
-shirt printing got an 8 out of 10. Online reselling,
a 7 out of 10. And here's the follow -up that
makes it truly powerful. A second prompt. Okay,
let's focus on print -on -demand. Find me four
detailed case studies of real entrepreneurs who
have successfully launched this type of business.
Search Reddit, Facebook, X, niche blogs for their
stories. I want to know their exact startup costs,
first month revenue, key strategies they used.
And the agent went out and found actual posts
like from side hustle to $500K, how Printify
helped this mom quit her job, complete with the
detailed breakdowns of costs and marketing tactics.
See, that's the difference between just having
an idea and having a de -risked business plan
backed by real proof. Finally, the pitch deck
creator. Mission, create professional investor
-ready pitch decks. Yeah, so the initial step
was simple. Ask it to create a standard pitch
deck for, say, that energy drink company. And
it handled the market analysis, financials, competitive
landscape, no problem. But then came this truly
fascinating moment. We gave it a legendary reference,
the original Airbnb pitch deck. The updated prompt
asked the AI to redesign the entire presentation
to match that style and structure. And here's
the crucial part. It was asked to incorporate
personal details about the user that it remembered
from previous conversations to make the story
more compelling. And the result was staggering.
The AI didn't just mimic Airbnb's iconic style.
It wove a personal narrative directly into the
presentation. It included details about the user's
background podcast host, specific business experience,
social media following details never mentioned
in that particular session. It was actively pulling
from its comprehensive memory of all past interactions.
It told a story. It delivered what looked like
a $5 ,000 agency quality deck in under 15 minutes.
I mean, imagine the sheer volume of personalized
context -aware content an AI team like that could
tackle simultaneously. It's truly remarkable.
So how does the AI recalling past conversations
really elevate its utility beyond just single
task automation? I think it fosters a continuous
evolving understanding. It becomes a true partner.
Mid -role sponsor read. So knowing... all this
power exists the uh the next logical question
is how exactly do we command this new ai workforce
because it's clearly not just a chat bot anymore
it's something much closer to a dynamic team
right the 60 second on -ramp starts with a really
crucial mindset shift step zero Change your thinking.
You're not just chatting with an AI anymore.
You are an operator. You're issuing commands
to a powerful, logical, sometimes very literal
machine, your clarity of thought. That's your
most valuable asset now. Okay. And on the technical
side, this functionality is part of the premium
offering. So you'll need to upgrade to a ChatGPT
Plus account $20 a month. That's basically your
cost of admission to this new economy. Once you're
inside, you'll find a tools button. Clicking
this reveals the option to select agent mode.
That's the switch that transforms your chatbot
into an autonomous worker. Exactly. And then
you start simple. Then you gradually escalate.
Your very first command shouldn't be build me
a billion dollar company, right? Start with a
simple self -contained task like one of the examples
we just talked about. Learn the rhythm, learn
how the agent responds before you give it those
more complex multi -step missions. And getting
truly expert level results, it isn't about finding
some secret magic words. It really comes down
to consistently following a few core principles.
These are what we're calling the four commandments
of effective agent prompting. Okay, first. The
urgency principle. Just say, move fast. It sounds
almost too simple, but including a command like
move fast in your prompt genuinely changes how
the agent behaves. It tends to cut out the verbose
fluff and get straight to execution. Gives you
more direct, actionable results, like getting
a strong coffee without the long lecture, you
know. Right. Second, the don't make me think
principle. Always provide reference data. Never
assume the agent just knows what a good result
looks like in your specific context. You have
to give it a precise map. Just asking for a pitch
deck is often too vague. A much more effective
prompt would be something like, create a pitch
deck for my company. Use the attached Airbnb
pitch deck as a structural and design reference.
Oh, and here's a document with our key financial
metrics. Totally. Third, the scoped search principle.
Be specific about sources. The Internet is just
vast, right? Telling an agent to find case studies
is like asking someone to find a needle in a
haystack the size of, well, Earth. You'll get
much faster, much more accurate results by telling
it exactly where to look. Don't just say find
stories about successful entrepreneurs. Say scrape
Reddit for entrepreneur and small business subreddits,
specific Facebook groups and these niche blogs
for their stories. Be precise. And fourth, the
babysitter principle. Stay in the tab. Now, this
is probably a temporary rule for a technology
that's still pretty early days. When the agent
is doing sensitive stuff, like working within
your Google Calendar or Gmail, it's just best
practice right now to stay on that browser tab
and watch its progress. Think of it like a self
-driving car in beta, incredibly capable, but
maybe keep your hands near the wheel for now.
I admit, sometimes I still catch myself treating
it like a basic chatbot. Then I remember this
rule and, uh... pay closer attention. Yeah, that's
a good analogy. And look, this new agent mode,
it's revolutionary, but it's important to remember
it's still evolving. It definitely has some rough
edges. Think of its current state like maybe
a bustling, fast -paced kitchen. It looks kind
of messy. You're not always sure how every chef
coordinates, but somehow delicious results still
emerge. Okay, so for security reasons, manual
logins are still required. The agent can't yet
just automatically log into all your accounts.
You'll have to go through that OOF, the secure
authorization process. the first time you give
it access to a new service, though that'll undoubtedly
get smoother over time. Definitely. Also, it
wants you to stay observant when it's dealing
with sensitive data. This is actually a crucial
safety feature. It means you can't always just
have it running completely unsupervised in the
background. It ensures you stay in control while
it handles sensitive information. Right. And
some tasks... Particularly the really complex
research. They do take time. You should expect
maybe 20 to 30 minutes sometimes. It's performing
the work of a human, essentially. And deep research
just requires a certain amount of processing
time, even for a powerful machine. Exactly. And
finally, integrations can sometimes be a little
bit glitchy. The Google Sheets integration, for
example, has been known to be temperamental now
and then. But these are precisely the kinds of
early adopter bugs you expect, and they usually
get ironed out pretty quickly after a major release.
So how might these commandments you mentioned
help someone maybe overcome that initial frustration
when they first start experimenting with AI agents?
They provide a clear framework for communication,
basically guiding the AI effectively. But beyond
the tactics, you know, the how -tos and this
impressive list of automated tasks, there is
a deeper, really profound shift happening here.
This is what we've been calling the holy crap
moment. The real game changer isn't just that
the AI can do tasks. It's that chat GPT now remembers
everything about you across all your conversations.
Yeah, we saw that clearly with the pitch deck
creator example. When that agent redesigned the
pitch deck, it proactively included personal
details about the user details never mentioned
in that specific prompt. It seamlessly recalled
the user's experience as a podcast host, their
specific business background, even social media
following. pulling from its perfect memory of
all past interactions. This isn't just a tool
anymore. It feels like the dawn of a true AI
business partner, one with a perfect memory that
understands your professional history and context
maybe better than most human colleagues ever
could. This level of persistent, evolving intelligence,
it fundamentally changes everything. So if AI
can remember everything you've ever told it,
how does that fundamentally change our relationship
with technology itself? it becomes less like
a tool and more like an evolving, intelligent
collaborator. And just to be clear, for anyone
listening and wondering, these aren't just, you
know, cool party tricks. These six automations
we've discussed, they are the foundations of
real, profitable solo businesses you could absolutely
start this week. Yeah, totally. You could offer
local business website audits using that plumber
method to generate lead lists of businesses with
outdated sites. Or a hyper -personalized cold
email service using the dentist method to research
prospects super deeply and write emails too personal
to ignore. You could even offer meeting prep
as a service for executives, like being their
personal intelligence officer delivering perfect
briefing docs daily for, say, $200 a month. Then
there's product research for Amazon sellers using
that energy drink method to analyze reviews and
find market gaps. Automated competitor intelligence
reports giving businesses monthly deep dive analyses.
And of course, AI -powered pitch deck creation
combining market research with pro design to
turn a client's rough idea into an investor -ready
deck. and super fast. Okay, so out of those,
which business model do you find most immediately
actionable for someone who is just getting started
with AI agents? Lead generation or the personalized
outreach seem like really strong, tangible starting
points. Pretty straightforward. The bottom line
here feels pretty clear. Adapt or, well, become
a dinosaur. For those of us who have been building
businesses online for decades, through the birth
of the Internet, the rise of mobile, the social
media explosion, this feels genuinely different.
It feels bigger. Yeah, think about it. Yesterday,
to do the kind of work we've just described,
you would have needed a team. A VA, a data scraper,
a copywriter, a research intern. That's a monthly
payroll probably nearing $7 ,000. At the end
of the day. Yeah. You need $20 and clarity of
thought. What's truly striking, too, is that
many existing software companies, those simple
sauce apps, the Chrome extensions, data services
that are really just thin wrappers around OpenAI's
API, they're about to face profound irrelevance.
OpenAI is just steadily, methodically expanding
its capabilities, basically eating vast swaths
of the Internet feature by feature. This is arguably
the single greatest opportunity for the individual
entrepreneur in history. The choice is yours.
But the window to truly leverage this. It's evolving
fast. If you're not exploring this right now,
like literally this week, you might soon find
yourself competing against people who have an
entire AI workforce doing the job of a team for
the price of a pizza. Your move. We really hope
this deep dive has given you a vivid glimpse
into these immense possibilities. Maybe take
a moment to consider what this could mean for
your own work, your own business. How might you
begin to apply this knowledge? Yeah, maybe the
provocative thought is this. What if the future
of innovation isn't just about building new tools,
but really about mastering the art of commanding
this unseen workforce? Thank you for joining
us on this deep dive.