You know, most people are stuck using AI as a
simple chat box. You just kind of copy and paste
text back and forth constantly. Yeah, you ask
one single question and you get one simple answer.
It feels incredibly limiting. And honestly, it's
quite tiring to manage. Well, today we're moving
way past that single chat box. We're going to
manage a full automated AI team instead. They
actually work directly inside your computer folders
alongside you. Exactly. So welcome to another
deep dive for you, the learner. We're exploring
the seven layers of Claude co -work today. We
start from basic setup and reach full automation
eventually. It really feels exactly like building
a new house from scratch. You build a solid floor,
then your walls, and finally a roof. We're basically
building your entire AI house together today.
But before we build anything, we absolutely need
a blueprint. Let's examine the permanent brain
of your new workspace. Right, because most people
simply copy text into a browser tab today. When
you close that tab, the AI forgets absolutely
everything. The underlying context window just
gets wiped completely clean every time. Exactly.
Claude Cowork fundamentally changes this extremely
frustrating process. But you absolutely need
the desktop app for this to work. You navigate
directly over to the Cowork tab on your screen.
You have to allow the AI to see your files. It
actually touches the local files on your machine
directly. So it doesn't just talk about your
work theoretically. It actually executes the
work right inside your local folders. Yeah, and
that brings us to the most important foundation
layer. You need to create a keloy -day .md file
right away. This file anchors the underlying
context window of the model. It acts as a permanent
system prompt for your workspace. So the AI constantly
reads this file in the background, invisibly,
because long conversations usually make an AI
forget its original purpose. Yeah, we call that
specific problem prompt drift in the industry.
It loses the thread after too many back and forth
messages. I still wrestle with prompt drift myself.
It's incredibly frustrating when the tone suddenly
changes mid -project. Right, completely. So this
file keeps the AI completely focused forever.
Like, imagine starting a brand new handmade candle
business. You want to sell exactly 100 candles
a month. And your tone should always be professional,
but very friendly. You also prefer writing really
short, clear emails to customers. I might even
add that I completely hate using emojis. And
I'd tell it to always check my math, too. The
point is, you never have to repeat your background
information again. The more rules you establish
now, the less you fix later. This persistent
memory. is the big secret most people totally
miss. Definitely. But a memory is useless if
the workspace itself is totally chaotic. That
introduces the massive challenge of file organization
and structure. Instead of manually clicking to
create folders, you just ask. Right. The AI is
actually better at organizing complex folders
than we are. It understands software ontology
and optimal file structures deeply. But what
if my existing filing system is highly specific?
Won't an AI just, you know... Scramble everything
up. Well, no, it actually reads your file names
to understand your logic first. Yeah. It analyzes
the existing patterns before suggesting any new
changes. So it might suggest a dedicated customer
feedback folder for you. Yeah, or it could suggest
an inventory spreadsheet for your daily stock.
And you just agree and the folders appear inside
your directory. You don't have to right click
or name anything yourself. It can even organize
an old folder that is a total mess. It reads
the scattered file names and perfectly groups
them. Which saves so much time compared to dragging
files by hand. But I know you might have a little
anxiety here. How do we stop the AI from forgetting
these rules tomorrow? The CLIUDMD file acts as
a permanent automatic memory for your folder.
Okay, so we have a perfect memory and great digital
organization now. How do we ensure the work doesn't
sound completely robotic? Right, because most
people get a generic draft and spend hours fixing
it. We obviously want to avoid that exact trap
entirely. This requires fundamentally shifting
how you assign a specific role. Tell the AI it
is your senior business manager immediately.
Yeah, role -playing shifts the probability distribution
of the text generation. It stops sounding like
a generic robot instantly. That's the real secret.
Let's look at replying to a tough customer complaint.
You find the complaint inside your newly organized
feedback folder. You simply tell the AI to offer
a 10 % discount. It apologizes perfectly and
automatically saves the brand new reply. It saves
the document directly into your local outbox
folder. Exactly. There is absolutely no manual
copy and pasting required anymore. And the professional
consistency just builds up naturally over time.
If you used a specific legal phrase yesterday,
it remembers perfectly. Everything looks like
it came from the exact same human being. So we
have accurate text that actually sounds like
our brand now. But doing this one file at a time
remains a huge bottleneck. Right. How do we scale
this operation without losing that distinct quality?
Well, this requires fundamentally rethinking
how an artificial intelligence processes work.
Usually an AI model does only one thing at a
time. But Claude Cowork lets you run multiple
complex operations simultaneously instead. Exactly.
Let's define that AI term for our listeners clearly.
Some agents are mini AI workers that handle small
pieces of a larger task. Perfect definition.
When you assign a big task, it breaks it into
smaller pieces. It deploys an independent mini
-AI for each individual piece. This completely
changes the bottleneck of waiting for sequential
tasks. Normally, AI is a single chef trying to
cook everything sequentially. But sub -agents
are like hiring five sous chefs to work perfectly
simultaneously. Let's say you're planning a three
-day trip to Tokyo. Right, so Agent 1 vigorously
researches the best local food options. Right,
and Agent 2 looks up the best historical museums.
Well, Agent 3... plans out your complex public
transport routes perfectly. They all work simultaneously
to get the massive job done fast. You actually
see small transparent boxes appearing on your
screen. Each box represents a completely different
working agent thinking live. Yeah, you see one
agent actively searching the web for fresh information.
Another agent is simultaneously drafting a formatted
file on your computer. So one task no longer
blocks the next task from starting. Whoa! Imagine
scaling to five or six smart assistants running
parallel at once. two -sex silence. But does
doing tasks all at once lower the overall quality?
No, subagents act independently, maintaining
total focus on their specific tasks. Okay, so
we have multiple digital chefs cooking in our
local kitchen. What happens if a subagent starts
going down the wrong path? Yeah, sometimes an
eager assistant might research the wrong thing
entirely. In most traditional tools, you have
to hit stop and start over. Which obviously wastes
processing tokens and absolutely ruins your daily
momentum. Exactly. But here, you use the steering
bubble to correct its path smoothly. Meaning
you can easily talk to agents while they're actively
working. Right. You never have to start the entire
complex task over again. It's exactly like cooking
with a friend in real life. You just look over
and politely say, hey. Less sold. Yeah. So if
an agent starts looking for very expensive luxury
hotels, you click the floating bubble and ask
for cheap ones instead. And you don't need to
write a long, overly polite letter. Just give
a very quick note to change the research parameters.
So the agent hears you and adjusts its active
workflow immediately. Right. I always tell new
users to look right under the hood. Because you
can click and see exactly what they are typing
internally. And understanding how they think
helps you give much better instructions tomorrow.
This system shows you everything and never hides
the actual work. That transparency helps you
become a significantly better boss to your digital
team. Absolutely. But these agents are currently
trapped inside your local file system. What happens
if they need ingredients from the outside world?
Like checking your real -world schedule or reading
an external database. We finally bring those
external tools in by using specialized plugins.
Wait, let's define that exact concept for our
listeners clearly. Plugins are digital bridges
connecting your AI to outside tools like Gmail.
Exactly. There are over 35 different reliable
plugins you can use today. You simply type a
backslash to easily access that integration menu.
So you can quickly connect Google Calendar and
your business Gmail account. Yeah, and then the
AI can logically see when you're actually busy.
It can help you find time for a very important
client meeting. It can even aggressively remind
you of an upcoming strict deadline. I use this
heavily for my own weekly podcast planning. Oh
nice! Yeah, you prompt the AI to critically check
your tasks folder first. And it looks at your
connected calendar for the upcoming work week.
Then it writes a comprehensive summary and automatically
emails it to you. Which saves you from constantly
jumping between three different browser tabs.
Everything happens smoothly inside one single
unified desktop screen. Hmm. But are we forced
to connect all our personal apps at once? No,
you manually pick and install only the specific
plugins you want. Got it. Midroll sponsor, Read
Placeholder. So we've connected outside tools
and guided our dynamic digital team. How do we
finally step back and let the system run itself?
This brings us directly to the holy grail of
total automation. This officially turns you from
an AI worker into a real boss. You can easily
create a ghost worker for your scheduled tasks.
Yeah, this ghost worker runs quietly in the background
all the time. It is extremely hardworking and
very quiet. Like, imagine waking up to find a
finished data report in your email. Exactly,
and you didn't have to click a single button
to generate it. You don't have to remind the
AI to work every morning. You just set a daily
or weekly execution schedule once. And the AI
automatically tackles the boring, repetitive
tasks without your supervision. You don't even
need to open your laptop screen anymore. It handles
the mundane tasks that drain your energy every
day, which completely frees your brain for significantly
more important strategic thinking. Having a reliable
system that runs automatically makes your life
much easier. You never need to worry about forgetting
a weekly analytics report. Because the AI already
generated exactly at the specific time you picked.
Right. But we know automation can feel a little
scary at first. Yeah, I can see listeners worrying
about an unsupervised robot writing emails. That
sounds like a massive corporate liability at
first glance. Can the ghost worker accidentally
send bad emails directly to clients? Draft mode
holds messages safely until you manually approve
and send them. So the AI does the hard parts
like reading and complex writing, but then it
safely leaves the finished email in your drafts
folder. Exactly. Instead of sending it right
away, it patiently waits for human approval.
You only need 10 seconds to quickly review and
hit send. It literally saves 90 % of your valuable
daily time. And it also keeps your professional
work 100 % accurate always. So true. Let's look
at a few extra tips for advanced power users.
Right. These are hidden workflow features that
make a really big difference. You can run multiple
entirely different project sessions at once securely.
Keep your home finances totally separate from
your corporate work projects. They basically
act like completely different locked rooms in
a big office building. Exactly. They absolutely
do not mix up or share any sensitive project
information. You can easily switch between them
on the left side menu. You can also use self
-checking agents for much better output quality.
Yeah, I often ask the digital agents to strictly
cross -check each other. Agent 1 writes the text
for your new technical article perfectly. Right,
Agent 2 reads it and vigorously searches for
any logical mistakes. It is exactly like having
a professional editor and writer collaborating
seamlessly. This makes the final published quality
significantly higher than standard prompting.
We have definitely covered a massive amount of
technical ground today. We truly evolved from
treating AI as a static Internet search engine.
We successfully manage a dynamic parallel processing
digital team instead. They literally live right
inside your actual computer folders now. Yeah,
they confidently connect to your calendar and
successfully draft emails on a schedule. Please
don't get overwhelmed by all of these advanced
architectural layers. Just start with layer one
to keep things very simple initially. Exactly.
Just open your computer and make a brand new
local project folder. Create your first Claude
ID MD file. To clearly see the immediate difference,
you will visibly see how much smarter the AI
actually becomes. Absolutely. Imagine what happens
to your daily workflow going forward from here.
Your simple desktop folder finally stops being
a static digital file graveyard. Right. Documents
don't just go there to silently sit and die forever.
It becomes a living, self -updating dynamic database
that constantly grows smarter. It updates automatically
every single time you receive a new client email.
Beat. Something to mull over. It really is. Thank
you for joining us on this deep dive. We will
definitely see you next time. Out to your own
music.