You know, I think most people use AI like a really
smart intern that you've given absolutely zero
instructions to. That's a perfect way to put
it. They ask for a simple task, get a quick generic
answer, and then they just stop there. Yeah.
And if you're only using it to write a quick
email, you are using, I mean, less than 10 %
of its power. This deep dive is all about showing
you what that other 90 % looks like. It honestly
feels almost illegal. Welcome to the Deep Dive.
We're so glad you've joined us. Our source material
today is this fantastic guide that details 27
specific hacks for configuration and integration.
And the goal is pretty simple, to stop using
AI randomly and start actually building it to
work for you. Right. Our mission here is to take
these insights and build a truly customized,
hyper -efficient personal assistant. One that
actually anticipates what you need. OK, so let's
unpack this. We've structured this to go from
the foundation all the way to action. Right.
First, we'll set up the foundation. That's personality
and memory. Then we'll get into natural interaction,
so voice and vision. After that, we hit organization,
and this is a big one, verified research. And
then we finish with the really advanced stuff,
the agent capabilities. And we have to start
at the beginning, because if you don't actually
set up the AI, it's just guessing. It is. It's
like hiring an assistant. and not telling them
how you like your coffee or what your priorities
are. You can't be surprised when they spend all
day on the wrong task. That brings us right to
our first big hack. Change the personality. The
default AI is just, it's way too polite. Oh,
it's so cautious. It's like a customer service
agent who's afraid to make you mad, all that.
Certainly, I'd be delighted to assist you. It
just wastes time. So much for. You got to cut
that out right away. You can change it instantly
with custom instructions. The source material
suggests a prompt like, I want you to be direct
and ruthless. Skip the polite intros and outros.
Give me the answer immediately. OK, so if I make
the instruction ruthless, does that make the
AI less useful for, say, more sensitive things
like writing a condolence email? That's a really
good question. And yes, it could. But you just
have to remember it's dynamic. You keep that
ruthless setting for your day to day. And for
that one specific task, you just add For this
next request, use an empathetic tone. Ah, OK,
so it's about being deliberate. That leads to
the next one, the who am I hack. This feels critical.
It is. Because if you don't tell the AI who you
are, you have to re -explain your context every
single time. It's so inefficient. You're starting
from scratch every time. Exactly. You have to
tell it who you are in detail, like the example,
I am David. A small business owner, coffee shop
in Seattle, five employees, I struggle with social
media. And the advice just completely shifts.
It's not giving marketing tips for Starbucks
anymore. It's giving them to a small shop in
Seattle for someone with a small team trying
to get more local foot traffic. The advice becomes
100 % relevant. And that builds directly into
mastering the memory feature. This is where it
starts building a real long -term memory about
you. Like remembering you're training for a marathon
and then weeks later you ask for a recipe and
it suggests a high protein pasta dish because
it remembers your goal. It's incredibly powerful.
Look, I'll admit something. I still wrestle with
prompt drift myself. Off drift? Yeah, so when
old, irrelevant context starts messing up your
new answers. I was searching for a gift from
my niece once, and for months after that, any
time I asked for a recommendation for anything,
it just kept suggesting toys. So you have to
curate it? You have to. You gotta go in every
month or so and just delete the old stuff that's
not relevant anymore. So if the AI is constantly
learning from our profile... How do we make sure
the advice we're getting is actually objective
and not just what we want to hear? We have to
treat those instructions as a profile that we
are intentionally curating, you know, for our
own biases. So the setup ensures relevance, but
we're still responsible for the objectivity.
Exactly. We provide the intent. Okay, let's shift
from setup to input. Typing is, well, it's slow.
That brings us to the voice and camera hacks.
Yeah. Number five is real -time voice conversations.
If you've got the mobile app, you can just talk
to it like a person. It's not like those old
robotic assistants anymore. And you can interrupt
it. Yes. You can use it during all that dead
time. You're in the car doing dishes. It turns
that time into a productive brainstorm. The best
example is using it for job interview prep. You
tell it to be a tough interviewer, it asks you
hard questions, listens to your answers, and
gives you feedback right there. It's so much
better than typing. And then there's the camera
hack. Show, don't tell. This is just a huge mental
energy saver. It is. Why spend five minutes trying
to describe something? The first example, the
plant doctor. I have killed so many houseplants.
Now I just point my camera at a sad -looking
fern and ask, what's wrong with this? How often
do I water it? I've saved three plants so far.
That's amazing. Or the other example, the translator.
You're looking at a menu in a foreign language.
Right. You just point your camera at it and ask,
which of these are spicy? And I don't eat pork.
It translates and filters at the same time. So
with voice and vision, are we finally turning
the AI into a true collaborator instead of just
a text box? Absolutely. The input shifts from
rigid text to this flexible, human -like interaction.
Natural interfaces. Unlock truly conversational
capabilities. Okay, let's talk about organization
because if you use this a lot your chat history
becomes a complete disaster it really does which
leads us to projects think of projects as special
folders for your big goals. So you might have
one for Q1 marketing plan or home renovation.
And the superpower here is that you can upload
files directly to that project, your spreadsheets,
your PDFs, photos. And the AI just knows the
background. You don't have to keep re -explaining
the budget every time you ask for a new idea.
It's a huge time saver. And next is Canvas mode
because copying and pasting a long draft from
the chat into another app is just, it's clunky.
So Canvas is like a Google Doc built right inside
the chat. And you can just highlight a sentence
and say, make this funnier or shorten this paragraph.
You're editing it collaboratively in place. That's
great. Now let's talk about accuracy because
we know AI can hallucinate, make things up. It
can, which is why deep research mode is so important.
You have to force it to actually browse the internet
and check its facts. And that's hack number 10.
You activate it with deep. The example given
is asking for a comparison table of laptops for
video editing with specific RAM and processor
speeds. Yeah, and it'll take two to five minutes,
but it's worth it. It stops guessing and it starts
citing its sources. It's visiting multiple websites
to verify everything. It's an investment in accuracy.
And hack 13, document comparison. This seems
like a lifesaver for anyone who deals with contracts.
Oh, for sure. You upload file A, the old contract,
and file B, the new one, and just ask it, list
every single difference, and tell me specifically
if the payment terms changed. So with all this
organization and research, how does the AI help
protect our time without us sacrificing objectivity?
By automating all that synthesis and research,
it eliminates the tedious repetition. But we
still have to be critical of the sources it chooses
to browse. So organization minimizes friction,
but human skepticism remains absolutely essential.
You got it. We're going to take a quick break.
And when we come back, we're diving into the
really advanced stuff, where the AI becomes an
autonomous agent. Welcome back to the deep dive.
We're getting into what feels like the other
90 % of AI's power now. Agent mode. First, let's
just quickly define what an agent is. Right.
An agent is basically a tool that can do multiple
complex steps to finish a job. Right. All without
you having to constantly give it input. It executes
a full plan. Which brings us to agent mode. Hack
16. Let's use that restaurant example from the
guide because it's perfect. OK, so you're planning
a trip to Chicago. You start by asking, find
15 of the best Italian restaurants in Chicago.
That's step one. But then the agent keeps going.
You tell it. Now go to their websites. Find their
menu prices, their star ratings, and find the
links to their Instagram pages. Right. Steps
two, three, and four, all automated. And for
the final step, compile all of that data into
a downloadable spreadsheet for me. And it just
does it. It goes out, browses 15 different websites,
scrapes the specific information you asked for,
and delivers a finished spreadsheet. It's incredible.
Whoa! I mean, just imagine scaling that. That
level of detailed, multi -step work. To hire
a person to do that would take hours. A ton of
tedious work. And we see that same idea applied
to learning with study mode. This turns the AI
from a search engine into a real tutor. Right.
So instead of asking for a big summary of a topic,
you give it a structured prompt. Yeah, you say,
teach me one concept at a time, then stop and
quiz me. Don't move on until I get the answer
right. It forces you into active learning, active
recall. You're actually going to retain the information
so much better than just reading an article.
It's like having a very patient but very strict
teacher. Now for the technical hacks for non
-technical people. Hack 22, the data interpreter.
This is amazing. This is a game changer. It gives
everyone the power of data analysis without writing
a single line of code. So you take that sales
spreadsheet that's just sitting on your computer,
you upload it, and you just ask it in plain English,
which month had the highest sales? And can you
make me a bar chart to show that? And it does.
Right there in the chat window. No pivot tables,
no messing with Excel formulas. You look like
a data genius in about 30 seconds. And it doesn't
stop there. Hack 24. building simple websites.
Yeah, you can just prompt it to write the HTML
code for landing page. You can say, I want a
page for a coaching business. Use brown and cream
colors. And you can see a live preview. If you
don't like the color, you just say, change the
brown to a light blue. And it updates the code
and the preview for you instantly. So if we're
letting the AI handle the research and the math,
what is the most critical skill the human still
needs to master? It's critical thinking. You
still have to vet the output, question the sources
it used, and ultimately decide the final strategy.
So human judgment remains the most valuable part
of the entire workflow. Exactly. OK, final segment.
The bonus hacks. These are the ones that feel
like they break the rules, connecting the AI
across your phone, your computer, your whole
digital world. The first one is Siri integration
for iPhone users. Siri basically becomes a gateway
to chat GPT's much more powerful brain. So you
can give a complex multi -step command like,
hey, Siri, ask ChatGPT to write a bedtime story
about a dragon named Bob and then save it to
my Notes app. And it just does it seamlessly.
Siri handles the integration. ChatGPT handles
the creative work. OK, then there's connecting
apps with something called the Model Context
Protocol, MCP. It sounds complicated, but it's
just a way of saying the AI can now talk to your
other apps, not just read data from them. Ah,
so it moves from being passive, like reading
your calendar, to being active. Exactly. It can
now send an email for you or add an event to
your calendar. It becomes a true action -taking
agent that does the clicking and typing for you.
That's a huge leap. And the final one, ChatGPT
Atlas. This is a totally new browser experience
with the AI built right into the engine. The
big feature here is what they call Agent Actions
for Shopping. So the example is you're planning
a beach day. You can just tell Atlas, find the
best price for sunscreen, a big towel, and a
cooler on Amazon. Add them to my part. And it
goes and does it. Yeah. It acts as your personal
shopper. It completely removes the friction of
opening 10 tabs and comparing prices yourself.
One command and you're done. So if we just summarize
the whole journey we've been on. The AI moves
from a passive calculator, which is where most
people are stuck, to this active, personalized
agent that can handle complex setup, visual input,
workflow, and even take action across all your
devices. That's the big idea. But we just covered
27 hacks. If you try to do all of them at once,
you're just going to get overwhelmed. You'll
give up. You will. So the challenge for you,
for everyone listening, is just pick one. Right.
Pick one hack that solves a real pain point you
have right now. Maybe it's voice mode for your
commute. Maybe it's projects for your messy files.
And just use that one hack until it becomes a
habit. The people who really succeed with AI
aren't the ones who know all the tricks. They're
the ones who use the tools consistently to save
themselves time. So as you think about this,
here's a final thought. Since the AI's memory
feature is constantly learning and customizing
itself based on your life, your goals, your preferences,
what happens when your personal assistant knows
you that well? What does all that hyper -personalized
knowledge do to your own ability to seek out
ideas that might challenge you? That's a good
question to sit with. Thank you for joining us
for this deep dive. We really encourage you to
go explore the source material to get the details
on all 27 of these incredible hacks.