MindStudio 2-Hour Free Workshop (10/28)
By MindStudio
Summary
## Key takeaways - **MindStudio: AI for Any Business Process**: MindStudio is a platform designed to optimize any business process using AI, from sales and marketing to finance and IT, requiring no technical skills to build AI agents. [00:16], [00:44] - **Rapid AI Agent Creation in Minutes**: Building powerful AI agents with MindStudio is exceptionally fast, typically taking anywhere from a few minutes to an hour, enabling the automation of manual knowledge worker tasks. [01:01], [01:14] - **Ground-Level Inefficiencies Identified by Workers**: The people directly performing manual tasks are best positioned to identify inefficiencies, rather than external consultants or software providers. Training these individuals in MindStudio allows them to recognize and automate these inefficiencies. [04:00], [04:21] - **Zero-Code Full-Stack Application Development**: MindStudio enables the creation of full-stack applications with custom interfaces and AI backends in minutes without any coding, deployable on mobile and desktop devices. [10:14], [10:45] - **AI Agents as 'Superpowers' for Knowledge Workers**: AI agents built with MindStudio can act as 'superpowers' by automating time-consuming tasks like parsing long articles, summarizing videos, analyzing profiles, or generating cover letters, freeing up mental energy and time. [13:06], [17:44] - **MindStudio: Easier, Faster, AI-Focused Automation**: Compared to platforms like N8N, MindStudio is generally considered easier to learn and faster to build with, specifically designed for AI-powered automation from the ground up. [15:15], [15:53]
Topics Covered
- No Tech Skills Needed to Build AI Agents with MindStudio
- Empowering Employees to Identify and Automate Inefficiencies
- Automate Repetitive Tasks in Minutes with the AI Lens
- Generate a Tweet Storm from Any Webpage Content
- Automating Responses with Conditional Logic for Positive/Negative Comments
Full Transcript
Uh
so again, not sure new folks that are
here uh whether you just stumbled across
Mind Studio because you know Ken told
you or or you know uh you've heard about
us before but the way I describe Mind
Studio in sort of a sentence is Mind
Studio is a platform for optimizing
business processes using AI. What kind
of business processes?
any kind of business processes,
sales, marketing, you know, the
executive, finance, IT, you name it, you
can optimize those processes using AI.
Uh, Mind Studio makes it easy to learn
to build AI agents. There are no
technical skills that are required at
all. anyone of any age, from any
background, can learn to build Mind
Studio AI agents in a relatively short
period of of time. And then once you've
learned to build these AI agents, you
can very rapidly build AI agents. The
average build time takes anywhere from a
few minutes to maybe an hour. It's rare
that you have to spend more than an hour
on building really powerful agents that
help you do what? automate things you do
manually now. Okay, what are those
things? Using the computer, using your
phone, you know, interacting with SAS.
Those are the things we do as knowledge
workers. We can now automate a bunch of
those things. Either completely automate
them so we don't have to think about
them anymore or partially automate them.
So, they're doing the heavy lifting and
we're just sort of sitting back and
saying, "Yeah, good job." You know,
change that. Okay. But it's driving and
doing the heavy lifting. Okay. Uh, Mine
Studio is quite popular. There's over
200,000 of these AI agents that have
been built and deployed in all kinds of
situations. There's like individuals
using it. There are small businesses,
enterprises, government. This is the
British tax authority, the British, you
know, internal revenue services we have
in the US and a bunch of others. Uh and
while these companies here are not yet
enterprise customers, there are mine
studio agents running in all of these
companies brought in by employees using
these tools. Okay. Uh we are
venturebacked. Uh if you want to see
who's invested, there's like a bunch of
interesting folks. I used to work at
Google. I was CTO of MySpace Music if
any of you remember that. Like you can
kind of look me up if you don't know me.
Uh it's my third venture back company as
a founder. So far here we've raised 36
million. Um the way I kind of again
describe things to like to lay persons
if I meet somebody at a party and say
like what is it that you do? I say well
listen whatever business you're in okay
does something and it's got these things
we call business processes and and they
work right like you've got a business
they work but you know business owners
and managers leaders etc are always
thinking like how can I make these
processes work better? How can I make
them more work more efficiently? How can
I get them to produce better positive
yield? Meaning, how can we make more
money?
Uh, and this is a constant thing that
businesses are asking, right? And now
they're starting to more and more ask,
how can I make my business run more
autonomously?
Why? Because of these new, relatively
new generative AI models that kind of
started with chat GPT and Claude and now
there's like lots of them. And indeed
these new technologies, these new large
models uh allow uh for the automation of
things that could have never been
automated before now. Okay. And and so
now is a great time uh to to start
thinking about how can I automate the
things I do manually to make myself or
my team or my company run dramatically
more efficiently. Uh the people who know
best where there are inefficiencies
in any company are the people that are
doing those inefficiencies. Meaning the
people that are doing the work manually
those are the people that know where
their inefficiencies. It's not some
consultant. It's not some SAS company
that approaches you and says, "Oh,
license my SAS and then you'll be more
efficient." Okay? Don't fall for that.
It is the people on the ground that are
doing the work that know where they
spend their time and and we believe that
if you simply train those people in this
case you yourselves are getting trained
train people to recognize what can be
automated easily
and and you can you can gain that lens
very quickly by understanding what mind
studio does how it works. You can very
quickly start to see, oh, that thing, I
can just automate that now. In the next
five minutes, I can just automate that.
Never think about it again. What? That's
crazy. But you get that lens, you know?
Or this thing, I can spend an hour and I
can build myself a little tool that when
then whenever I need to do this
repetitive thing that I do every day or
every week, whatever, I'll just push
this button and it will do it for me.
And that'll save me like hours a week of
mental anguish and and and time. Great.
You do that. Okay. So you can develop
that lens very quickly and then again
because mine studio is such an easy tool
to use uh you can just then fix the
problem. Not only can you detect the
inefficiency well you can patch the
inefficiency you see and and that's the
great value of it. Um and so yeah mine
studio is kind of this comprehensive
solution which is like you can learn to
build yourself and do it yourself. If
you don't want to do it yourself you can
hire some certified AI agent builders.
There's a bunch here with you right now.
Okay. Some are available, some are not
available. Some we've hired like Lewis
here who was an independent and we
poached them out of the community. And
so, uh, take a look at Lewis's LinkedIn
profile. Lewis, maybe you could post it
and and look at his posts and then you
will realize how he got poached. You can
get poached too by many many companies.
Uh, so do what Lewis does.
Um, okay. And I'm not going to spend any
time on this, but like there's places on
our website you can find this. Lots of
people from lots of important companies,
you know, think this platform is the
cat's meow and think our boot camps are
an awesome way to learn and like you're
in good company. Okay. Uh what you're
experiencing now is this 2-hour workshop
that we do. Most people learn to use
mind studio without any workshop. They
just look at our YouTube tutorials and
follow our documentation. They just
learn. So like, you can do it yourself.
You're doing this now. You can come back
to one of these. We'll do another one
next week. You can come back. They're
all a little different. I kind of don't
really have a a good script for them. Uh
so you'll learn new things hopefully
every time. Uh you can also join these
boot camps that we have. Uh these are
paid uh things, but you get a tremendous
amount of value. The next one's coming
up uh this next Monday and Tuesday.
They're full days uh 8:00 a.m. Pacific
to 9 to 9 to 5:00 p.m. Pacific. You can
take breaks if you've got like meetings
to take. You can go in and out, but
generally try to like allocate that
time. It's really valuable in 2 days. We
can make you an expert. There's still a
bunch more to learn, but like you can
get level one expert. Some folks here
are level three experts. again can show
a small show of hands like a bunch of
level three experts obviously the list
okay um and we do custom team training
so if you're part of a team if you're a
leader of a team these things are
absurdly valuable because we can take a
team and in a very short period of time
you know half a day one day two day you
pick level up the entire team and then
the rest of the week the team just like
transforms the orc and and so these are
just an insane value that you can just
get now. Okay. Uh and then yeah, let's
just start playing with the platform.
I'm going to kind of skip through a
bunch of these here quickly. So, we'll
use this M studio uh agent builder. Uh
we sit in a bunch of environments that
are security, privacy, compliance,
sensitive. Again, the British tax
authority uses us in HR. For some
reason, I I think that's like the the
best punchline I've got on like getting
people to say to think like this is like
I've got this. If it's good enough for
them, it's good enough for them. I don't
know. Tell me if that makes sense to
you, resonates. They very, very much
care about privacy, security,
compliance. It's all over HR. If they're
fine with it, I suspect you don't have
to worry too much about it. But if you
want to worry, you can visit our trust
center and you can look at case studies
and all that stuff. You know, I don't
want to No, I do want to get you guys to
stop worrying. Actually, I was going to
say I don't want you guys to stop, but I
do. I don't want you to worry. Okay. Uh,
Mine Studio integrates with over 200
models and and you can just start using
them. You don't you don't need to go
create your own accounts. You don't need
to go get your own API keys. You can
just start using models from all kinds
of providers. These are just small list
of them. There's many more. And you can
mix and match and you can compare them
with one another in real time against
one another. What's the best model for
this part of the workflow and all of
that, right? Oops. And uh uh I'm going
to skip this vibe coding stuff. Uh but
recently uh thank you Lewis and Luis and
I think other folks. It's a lot of
people creating content. Thank you. I'm
I'm excited to always watch it that are
kind of going into this and showing
people just how crazy powerful a bunch
of these things that I'm not going to
teach you today are. like the ability to
vibe code completely custom frontends
for your AI agents and completely
custom, you know, outputs and and
artifacts they generate. And so there's
a lot of really awesome stuff in here.
Um, but we're not going to get to it. So
sorry, TE's, you can find it. Maybe
later Lewis can send you some links. Uh,
but this I do want to spend a couple of
moments on. So, and we'll demo these um
today here. Not all of them, but I'll
show you a bunch of them. So, with um
Mine Studio, without writing any code,
zero code, you can easily build in
minutes
uh full stack applications
that you can use from your phone or your
computer or your tablet. They've got
screens and forms, completely custom.
They can be pixel perfect, look like
anything you've ever seen online or on
applook interfaces, front end
interfaces. The back end is AI,
a bunch of different AI models working
together, doing whatever it is you want
them to do. Extraordinarily powerful,
countless use cases. You have the
ability to build applications that run
on mobile and desktop that do anything
leveraging AI with custom interfaces.
It's hard to explain what that means.
But imagine that you're understanding
that there's countless use cases for now
you being able to build these
applications. It is dramatically faster
and easier to build these applications
using mine studio than let's say if you
played around with like lovable or
replet or bolt. Those are for building
potentially different types of
applications in certain instances. But
most things that you might want to build
would be much faster and easier to build
with mine studio than those other
platforms. Although we do get frequently
integrated with those and so we pair
well together. Well, people will will
use lovable replet or bolt to build some
kind of a thingy and then they're going
to use mine studio as the AI backend to
do it. Okay. So, um so so that's that.
This is really powerful. We're going to
build one of these. We're going to build
a simple one, but you'll get see just
how easy it is to do it. Uh it's also
really easy to build applications that
don't have a front end. They're just a
back end. Well, why would you do that?
Well, because they can be run
autonomously on a schedule. And so they
can, you know, wake up at a certain time
or a certain uh uh date or, you know,
every minute or whenever you want a
schedule and then do something and then
they might trigger something else or
they might send you something or they
might simply check if something is
happening and if it is then they will do
something. like tons of applications for
building these uh autonomous agents that
are driven by schedule. Uh the first
agents we're going to I'm going to show
you as these demos coming up here in a
moment and then we're going to build the
first couple are going to be these
browser extension agents. These are
extraordinarily powerful. We spend most
of our time as knowledge workers in the
browser, you know, using different SAS
products through our browser and
therefore having the ability to click a
button and and then take that
information that's in the browser and
send it to an agent and have it do
something. Countless applications here.
These things are um I I call all of
these things, by the way, superpowers
because I kind of have no other better
sort of name to call them. That's what
they feel like. Um you can also again uh
as easily as you can build these things
you can build applications that are
email triggered and so when they're like
that they automatically get an email
address and then for example uh again I
get into these situations all the time
perhaps it's cuz I'm CEO and I get see a
bunch of things perhaps it's I mean I
used to get into I guess in other roles
that I've had where I get these like
threads that are like 20 messages 30
messages and I I just can't get my head
around what has been happening in this
thread. I can simply forward this to an
email a uh yeah an email agent, email
triggered agent and it can sort of
unpack the whole thing for me and tell
me the most important question. Am I
blocking anything? Is there anything for
me to do? What are my action items? And
if the answer is you have no action
items, that is amazing. That is a
massive unlock. I would have spent way
too much time trying to figure out that
I've got no action items. Now I don't
have to spend any time doing it. I just
like copy my agent says don't worry
about it, dude.
or andor it can show me all the action
items for everybody else that's on the
threat and so I can see the people that
I work with what are their action items
what things have been agreed upon what
things might be you know uh potential
issues like it can do kind of thinking
it can do analysis what's happening in
this thread are you dropping the ball
are you again countless applications
that unlock like massive value and then
finally you can build AI I agents that
are programmatically driven. They can
expose APIs. Uh they can expose web
hooks. They can be deployed as MCP
servers. Even if you don't know what an
MCP server is, you can deploy MCP
servers. Okay. And and that's awesome
because you know MCP servers are all the
rage and there is no easier way to build
and deploy MCP servers than with M
studio. Uh last slide. uh we when we get
compared to other companies nine out of
10en times we get compared to a company
called N8N
okay the other 10% we get compared to a
slew of companies these are the dominant
ones the general consensus comparison is
if you've used these platforms mine
studio is easier to learn and then
easier and faster to build and
specifically more instrumented
for building AI powered applications
These platforms have been around much
longer than we they bolted on AI. NAD
has done a great job bolting on AI.
Uh but we are newer. We came out of AI.
And so we just do AI powered automation.
So if you want to do AI powered
automation, Mind Studio is a no-brainer.
If you are already using these
platforms, that's typically when people
start to think, well, I'm already using
these platforms. Should I just stay with
them? Should I add mine studio? Should I
replace them with mine studio? Then you
get a bunch of questions. Again, we
frequently get paired with these
platforms. We in fact even have
integration blocks directly in mind
studio. It makes it easier to pair with
these specific platforms. So, you know,
this is a great partnership thing as
well. Okay. And then you can see online
people talking about how Mind Studio is
sort of dramatically easier than N.
Spent 95% less time debugging errors.
Works without wanting me to pull my hair
out. If any DS Linux, Mind Studios, Mac
OS, this sort of a common thing. Okay,
enough of that. I really hate
presentations.
Uh, I'm not sure what I hate more,
giving them or getting them. Actually,
think I hate getting them more than
giving them. So, I apologize. No more.
Uh, let me show you some rapid fire
demos of things, okay? And then I'm
going to show you some superpowers.
So, this is a a long read. Now, this is
about the movie industry, but that's
irrelevant. What I want to point you to
is we I proposed, tell me if you think
I'm wrong, we spend our lives as
knowledge workers reading a ton of
things trying to extract
data points and and meaning and and sort
of cluster them and bucket them and do
and that's what we do. We spend our time
parsing this kind of stuff using our
mind, our mental energy, our time.
That's a lot of work. Okay, I don't do
that anymore.
I have a little button. In fact, I've
got a bunch of little buttons, right?
I've got a little thing here that's a
button holder, Chrome extension. I can
open this thing up. It's got a bunch of
little buttons. These are my favorites.
We call these pinned. I also have
hundreds of other little buttons
available for me here, but for now I'm
going to stick with the one I've got 10.
Uh so whenever I find something where
before I would have had to like read it
and spend time on it, my new approach is
ain't nobody got time for that. And I
just push this button and then I do
whatever it is I do. You know, I sip my
my coffee. Cheers.
I um I talk to my friends.
I I I I don't waste my mental energy
parsing this junk. I have my agent spend
the time doing it. And then when it's
done, I parse all of these things.
And it's still going. It's a long read.
Might take it 30 seconds, might take it
45, might take it a minute. It's done. I
can then copy this. By the way, if I
want to put it somewhere, I can share
it. I can also continue if I wanted to.
And I could sort of say uh extract all
entities
mentioned
and now it will go and it like give me a
list of people and you know companies,
organizations, films, whatever. That's a
superpower. See? Okay. And so that's
cool. So I can do this on any page on
the internet. Uh minus one. There are
some pages that sort of intentionally do
all kinds of things to sort of obfiscate
stuff where you might have problems. But
the vast majority of pages you can do it
uh some of those pages include YouTube.
YouTube is the second largest search
engine. I would argue that YouTube is
the video web. It's an entire web. Uh
Stan, yes, you can extract emails from
LinkedIn, but not directly from
LinkedIn. Uh YouTube is the And I'll
show you guys later how that's done.
YouTube is an entire web. It's an
amazing source of information. Okay? And
this is a conversation with Jeff Bezos.
It's two hours. I've run this on 10-hour
videos. I'm going to click the same
button. So, in the past, if I wanted to
understand what these guys were talking
about, I would try to watch this at two
times speed. And so, that would be an
hour of my time and attention. The
biggest thing is attention, mental
energy. I can't be distracted. I have to
pay attention. They're speaking quickly
at two times speed. I've got it
captured. I got to pause it. Maybe I got
to take a note. I got to remember this.
Like it's a lot of effort to try to get
like all this awesome
data out of this video. So on one hand,
video is an amazing an amazing medium.
On the other hand, it's got this like
fundamental flaw because of its like
linear nature.
But now this this gets rid of that. And
so I can read YouTube videos in a matter
of a couple of minutes that would take
mere mortals hours to digest. So what
does that mean? Well, that means that if
I spend an hour wanting to learn about
what's happening in my industry via
YouTube, well uh in an hour I can
consume an order of magnitude,
multiple orders of magnitude more than
any of my competitors can. That's a
superpower. Okay. This same thing works
on any page. Again, I keep sort of
making my joke of I I don't encourage
anybody to go to Twitter and I don't uh
but I still I still haven't changed.
I've been too busy or too lazy. If you
did go to Twitter and you want to
understand like what's happening without
sort of getting traumatized, uh you can
push the same button. It doesn't care
what it's on. If it's in the browser
here, it's going to try to grab it.
Again, vast majority of time it can do
it. And now in this case, it will tell
you, hey, tariffs suck. Um the same
thing works with uh again in a different
way a similar kind of an approach is to
be able to do things like this. So again
this is on uh Twitter but I could just
as easily do this on LinkedIn. I could
just as easily do on somebody's page
where they are going to be speaking at
an event and it's got like a long bio
about them and it says something about
them. I have a special button. Again,
this is called Twitter profile analyzer.
Should really be called people analyzer.
But I can click this button and what it
does is it again kind of like looks at
all of this and helps me better
understand who is Gary, what does he
care about, who does he care about, who
does he communicate with about what
subjects, who might be the people that
influence Gary. So if I want to go and
build a relationship with Gary, I want
to sell Gary something, etc., I have an
easy way to be able to get that data so
that I can better understand. Yeah, I
can be more successful
at connecting with Gary success. Okay.
Uh the same thing works on PDFs again,
websites, YouTube PDFs, 182page
financial disclosure. If you if you told
me to go and and parse this and and do
something with it, my head would not
figuratively, but I think literally
explode. Uh but now it doesn't. I just
push a button. Got to wait 2 minutes.
Probably cost like 40 cents to run. 40
cents for having still having your mind.
That's pretty good. Uh okay. Uh two more
things I'm going to show you. Then we're
going to build some agents. So this
thing
keeps changing because the uh people
keep changing jobs but let's take this
one maybe. Yeah. Okay. So this is a job
uh again before this before running this
company. I was at Google on the product
side. I was CTO at MySpace. I built two
other companies. I'm technical and so
I'm certainly qualified to be an SVP of
engineering for this appolio company.
Uh, but the problem is how do I get them
to know that?
Okay. And and in fact, not how do I get
them to know that, how do I get their AI
to know that? Because when I send an
email now with my resume to a company,
there's a meaningful chance that before
any human sees it, an AI is going to see
it. And the AI needs to know whether I'm
a good fit or not, does it let me
through or not. And so in order to
convince that AI or that human that I'm
the right candidate, what I need to do
is I need to take the things that they
care about, which is what they tried to
articulate in this thing called the job
description, and I need to map my talent
and experiences, my skills and
experiences to their thing. I don't need
to lob my resume at them and then have
them try to figure out how do those
things map. I need to do the work to map
them. Well, that's a lot of work. We
call those things cover letters. I've
always hated cover letters. Actually,
even more than PowerPoint presentations,
which I hate a lot. And so, again, if I
was to apply for jobs, again, I would
certainly use an agent like this. I can
simply give it my resume. Now, it knows
about the job description. It knows
about my resume. And it, while I'm
hanging out with my friends, it can
write a custom cover letter point by
point enumerating why I am the best fit.
I'm also the best fit for this one and
the best fit for that one and for this
one. But the problem is I would have
never applied to all these jobs because
writing cover letters takes a long time.
It's hard and I don't have the patience
for it. So, I wouldn't have done it. But
now I can. That's amazing. Yeah, it's a
superpower. Um, okay. One last thing I
want to show you before we jump in. Um,
so, uh, I've now raised, uh, just over
$140 million for these three companies
that I founded. uh this one so far 36
the last one was 70 the one before was
34 conveniently like just 140 uh so I
have a broad network of VC friends and
contacts but once in a while I like to
engage in a activity I call VC
collecting I collect VCs in this case in
an air table database but that doesn't
matter you can collect them into HubSpot
again these don't have to be VCs you can
be thinking about this as being like
leads for example right or whatever it
is and here I've got the name the photo
the current job, current company,
professional summary, their education,
their key experiences, their latest
post, in this case on LinkedIn, their
LinkedIn profile, and their email
address. The Stan was asking, can you
extract it from email? Yes, Stan, you
can extract it from email. Here it is.
Now, not always, you know, some don't
have it, but most of them, as you can
see, have it. This database gets built
in this way. Uh, so typically kind of
the most dominant way. Whoops.
that uh I do this is what is the
problem? links don't work anymore
is uh by being let's say on LinkedIn and
whatever being somewhere on some page
where I might not have collected yet
before and I could see this Chris
Skeller and again in the past my
workflow would have been like to kind of
read about this person and to like what
are they posting about and and see like
their perspective if you're going to
reach out to them everybody's reaching
out to them if you want to be successful
you've got to connect with what they
care about you got to come at them from
their angle. You can't just like lob
messages at them. That that that's
silly. And then so I would like spend
time trying to understand this person.
Why? So I could craft for them in 300
characters some message that would get
me a meeting with them or a connection
with them. Well, that's a lot of work
and a lot of time. And so I don't do
that anymore. I instead have a little
button that I press and that's the
button. And by the way, since this AI
agent actually doesn't return anything,
meaning it just puts him in my thing, I
can sort of continue to move on and I
can say,
"Yeah, sure. This person looks good to
me also."
And then, uh, you know, here's another
general partner at a family office. Why
not? Okay. Now, typically I'm not sort
of like this with VCs, you get the
point. this like for the demo purposes
I'm doing this like I I want to see do I
want to pollute my database with them or
not do I want to talk and anyway that's
it and then it just like gets all their
info everything comes from LinkedIn
except the email address the email
address gets enriched via another
service but again the mind studio agent
just does that for me
and now I get their email addresses and
then finally you might notice that right
here this education thing has these like
curly braces
What is all this junk? These like square
brackets here. Why? And here. It's
because this database actually isn't for
me. This database is for another agent I
have that when it's running connects to
this database, picks a person uh
understands them from all this data that
I've got about them and crafts a custom
email to them and sends it to them and
then waits for them to respond. And if
they don't, then it crafts an a
different email to them from a different
angle. Okay? And in a s I call I
lovingly call it my VC harassment agent.
It harasses VCs until they say yes,
let's chat. And then it hands it off to
me and does it. And so again, most of
the time it's not running because with
great power comes great responsibility.
And um uh but but you can do that kind
of stuff and that's amazing. That's a
superpower. Okay. Uh, so I'm going to
quickly
uh build a couple of agents, then I'll
take questions. Actually, I'll stop here
for a moment. Luis, is anybody
desperately needing to ask a question?
>> No, I think you're going to get to this,
but uh folks are asking if there's a uh
a place with like pre-made agents that
they can use right away.
>> Yep.
I will show you that place. And then um
I'll also show you that because it's so
fast to make agents with mine studio
that even if there are pre-made agents,
you might find yourself just making them
from scratch.
But but however you want to do it, we'll
show you both ways. Okay. So I'm going
to go to mine studio. I'm going to say
my workspace.
I'm going to say build new agent. And so
the agent we're going to build
again I'll just use continue use this as
a demo because it's just a giant thing.
We're going to build this agent right
here. Like when we click it, it's going
to grab all this content, it's going to
send it to this agent.
This agent is going to kind of go
through it with a fine tooth comb and
get us Come on, agent. Guys, still with
me? I've had some network issues here
today. Um, and uh let me try that again.
And and then it'll give us all of these
bullet points uh about any piece of
content. It's the one I demoed for on
YouTube and all. Okay, while it's doing
whatever this thing is doing, we'll just
make one and and we'll run it. Uh, I'm
going to say build new agent. I'm going
to give it a name. I'm going to call
mine TLDDR. I can also give it an icon.
I just need to choose an icon and and
upload it. And I can do that. I'm not
going to do it. Uh, I can also choose
all kinds of other things about it like
who has access to it. Is it just me or
is it people in my workspace, team
members? Is it specific people? Is it
public? For certain kinds of agents, you
can embed them. This one's going to be a
Chrome extension, so it doesn't get
embedded. So, like a bunch of things,
but here I'm just going to leave all
these things the same. And I just gave
it a name. So, so far all we've done is
we said new agent. We gave it a name.
Cool. Agents are made of workflows. You
can have one, you can have many. This
one's just going to have one. Workflows
have a start and an end, and they have
things in the middle. On the start, we
need to choose a trigger mode. Okay, run
mode. Uh, there are different trigger
modes or run modes. The one we're going
to choose is browser extension. You can
also choose these others. Again, we'll
play around with some of these others.
So, I'm going to say browser extension.
As soon as I did that, this thing showed
up here. And what this means is because
this platform now knows that we're
building a browser extension. It says,
I'm also automatically
going to give you all of these things
called, you know, variables. So
everybody know what a variable is. A
variable is just a way to store data in
a label. Okay? And so it's going to give
us a label called variable called URL.
And in it, it's going to store what?
It's going to store the URL of the page
on which this thing was clicked. that's
going to be in that URL variable. Uh
it's going to give us the metadata which
lives in the document. It's going to
give us the page content. Page content
is all the visible text on the page.
That's going to be stored in page
content. We're actually going to use
that in a moment. And it's going to give
us other things. Okay? And so um and so
we have these automatically. Again, so
far all we've done, we said new agent,
we gave it a name, and we said browser
extension. Now we're going to click
plus. And in this case, I'm just going
to choose this first thing here,
generate text. Um, and another name for
this block. These are called blocks, by
the way. And as you can see, the way
they work is like when you click on a
block, you configure it on the right
hand side. You click on it, you
configure it. You click on it, you
configure. That's how it works. And so
this block, another name for it could
be, you know, interact with an AI model.
Yeah. Uh large language model. And I'm
going to give it a prompt. I assume
everybody is like prompted something
like chat GPT or claude. And so by the
way, you can choose what model you're
using here at the bottom. My default
model that I've configured in my
workspace setting as being default is
claude 37 sonnet. But as I mentioned, we
support over 200 models. If you wanted
to use another model and you simply say
use or you can click on it and read
about it and evaluate it and do all
that. I'll stick with claw 37 on it.
It's fine. And here I'm going to give it
a prompt. And the prompt I'm going to
give it is extract all learnings. You
can give it any kind of prompt. You can
say, you know, pull out all the key
points of this or enumerate all the
claims being made like countless things.
You play around with it. I really like
this prompt. It's got a bunch of in my
experimentation. It's the best way to
get like TLDDR of something. And then
I'm going to type these double curly
braces.
And then that's going to give me a drop
down of available things. So I can use
variables. I'm going to choose that page
content variable. Remember over here
because we said that this was going to
be triggered by browser extension. We
got this page content. The page content
is all the visible content on the page.
That's what lives inside the page
content variable. Oops. That's what
lives in that content variable. And so
when we type this in, when this runs,
the model is going to see the words
extract all learnings. And then it's
going to see all of those words that are
on
this page right here. That's what it's
going to get. And then the output's
going to be displayed to the user. And
and that's fine for us for now. And
that's it. We're done. So again, we gave
it a name. We chose browser extension.
We typed the command. And we just gave
it all the content. And now I'm just
going to say publish.
And now I have an agent. Now if I want
to, I can click this button to open the
agent. And it says, look, this agent is
a browser extension. You said it's
triggered with the browser. You can run
it, but it's better run from the browser
extension. And so I'm not going to run
it this way. And so I'm going to go back
here. And so these are my favorites.
They are pinned.
This one we just made, so it can't be my
favorite yet. So, I need to click on
this M and that's going to open up the
side drawer.
What is happening with my computer?
Um,
sorry guys. Let me uh let me close some
of these tabs. Uh, let me
here. Let me actually let me close
Chrome here for a second, I think. May
have been because I tried to upgrade
Chrome maybe and didn't do it. Uh, leave
site. You guys are not going to leave
me. Cool.
Uh Chrome
mute all. Thank you.
>> Okay, let's try that again. Apologies.
Uh, and so I'm going to go to my demo.
I'm going to find my uh man, my mouse is
doing awkward things, too. Uh and then
I'm going to click on this button
and
o
you by chance experiencing there it is,
man. I don't know what's going on. Okay,
sorry about that folks. Again, could be
internet traffic. Who knows? Okay,
there's our little TLDDR or I'm just
impatient, but typically these things
are much faster. Uh, here's that TLDDR
button we made. And so I can click run.
And then again, it's grabbing all of
this stuff. It's sending it to this
agent. And this agent is going to go
through it and it's going to extract all
of these bullet points. That's what we
get back. A bunch of bullet points.
Yeah. And again, the same agent that we
built also works on YouTube and works on
PDFs and works on Twitter and works on
whatever website you're on. Again, minus
one. Uh, and that's really powerful
because again, I took a couple of
minutes to build it, but we'll soon see
that you can build these things
obviously even faster by doing this. So,
let me build you another agent. Now,
instead of building it from scratch, I'm
going to go over here to build. And
build has all of my agents I've
published in my drafts. Okay. And so,
here's that TLDDR agent we just built.
Now, I'm going to click on these little
three buttons, and then I'm going to say
duplicate.
And so now we just made a copy of it.
Okay. And so I'm just going to give it a
name and I'm going to uh build an agent
called stock analyst. Okay. And so I
just changed its name. I'm not going to
change anything about this agent except
for this.
I said, "Do a fundamental analysis on
this stock. Now, I'm going to publish
it."
We just built a new agent. Well, let's
try it out.
We can be on whatever some page, Yahoo
Finance. Let's say it's got a bunch of
information about a stock. I now have a
new little button that I made.
Hopefully, we won't have to wait too
long for it.
There it is. I can say run.
going to grab this page and it's going
to do the things that I would need to do
manually
and she's going to do it for me. Okay?
And it's going to help me understand,
you know, some performance strengths and
trajectory and strengths and weaknesses
and, you know, that's freaking amazing.
Again, I don't know what to call this
thing other than a superpower. Like what
what did we just build in what 30
seconds build? It depends on who you
are. You'll build different buttons. And
again, even if this is all you do, you
build the TLDDR agent, you make a copy
of it, and you just change what this
thing says and publish it. You can make
countless superpowers for yourself, your
team, your company. You can wow people.
It's amazing. Okay? Do it. Think about
it for your own thing. Do that. That's
what you should do first. Okay? But why
stop there, right? We don't stop there.
Couple of things I want to show you
here. One is here I wrote all of this,
you know, manually. Uh, but we have a a
thing built into Mine Studio. So instead
of writing the prompt manually, I can
click right here at the bottom right of
this little text area, edit in full
screen. And so this just lets me edit
the prompt in full screen. Also here
you'll find this little button called
generate.
And here I can say like provided
with a stock
do a fundamental analysis. Yeah. Again,
you can be very dirty like I've got this
capitalization. I'm going to leave it
in. You can misspell everything. Doesn't
matter. It's not a very good prompt. Uh,
but what this thing is in charge of is
taking this crappy prompt or I call it
lazy prompt and putting in some effort
and making it kind of more structured so
that I can then take a look at it and
say, "Yeah, but I didn't mean that. I
don't want that. I want it to be a
different way, etc." And so it can take
the first pass or the first and last
pass at writing this prompt.
And now I've got a much more
sophisticated prompt that I can use. And
again, I can edit it, I can change it, I
can do whatever. And so this like
generate prompting thing is
extraordinarily powerful in being able
to do it. By the way, uh, as a novelty,
this thing right here is just a Mind
Studio AI agent.
It was built with Mind Studio
and integrated back into Mind Studio in
order to help people build things with
Mind Studio. We've got a bunch of these
kinds of capabilities in all kinds of
parts of Mind Studio where we've used
Mind Studio to build Mind Studio and and
you get kind of this recursive inception
thingy going. It's it's pretty crazy.
Okay, that's Stock Analyst. Uh
and then one last thing I'd like to
build for you quickly and then I'll take
questions. Okay. Um just one more.
This is uh how you get in trouble with
Mind Studio. You might be up at like 2
am. You need to go to sleep and you're
like, "I've got another idea. Just one
more. It happens to me all the time. Be
careful." Uh, I'm going to go ahead and
I'm going to uh remix that thing again.
I'm going to duplicate our TLDDR cuz why
not? And I'm going to call this thing uh
content to uh LinkedIn post.
Okay. And I That's it. So, I'm going to
do change its name. I'm going to leave
this the same. Going to leave this the
same. I'm going to change one thing on
this block right here. And that thing is
this behavior here. By default, we've
been displaying things back to the user.
But we're going to change that here.
We're going to say save to a variable.
And so whatever comes back from this
thing when we said extract all
learnings, what comes back to us?
Meaning what do we see in that right
hand pane when I click that TLDDR
button? We see a bunch of bullet points.
Okay. And so I'm going to call this
thing bullet points. I could have called
it summary. I could have called it I can
call it anything I want. I'm going to
call it bullets. Okay, there's a bunch
of bullet points. Call it what it is.
And then so now we've created a new
variable. So we called the model. We
gave it all the page content. It came
back to us with a bunch of bullet
points. We created a new variable called
bullets and we put those bullet points
in it. Woohoo. We got now a variable
called page content. We got a variable
called bullets. Got all these other
variables from the past. Now I'm going
to click plus.
And I'm going to call a model again. And
I'm going to ask this model to write the
LinkedIn post.
I'm also going to add some other things.
Use emojis. By the way, I don't have to
add these things, but I know you want
LinkedIn posts. LinkedIn loves emojis.
And then uh and that's it for now.
That's all I'm going to do. And then I'm
going to do this. I'm going to give it
those bullets.
Except I know that it's best practice
and again this has nothing to do with
mind studio. This has to do with prompt
engineering with prompting models that
when you give a bunch of content to a
model and then also a command it's good
to sort of wrap that content or
delineate it in some way. And I'm just
going to use the same thing and do this.
Okay. So again this might look like code
to you but this is not code. These are
just labels. These are just words. This
is a common format where to use these
angled brackets kind of looks like HTML.
This also looks like HTML. This means
end. So whatever is between this and
that the model is going to know that is
something that's some content we're
calling bullets. And here we say write a
LinkedIn post. The better way to more
precise way would be write a LinkedIn
post about these and then here
uh bullets and then this will be
ultimately clear to the model what I'm
trying to get it to do. I'm giving it
these things. I'm calling it bullets
that's actually going to get expanded
into like all of those bullet points to
this next model. And I'm going to ask it
to write a LinkedIn post about these
bullets. also asked it to use emojis
and then I can continue and I can click
plus. So far we've just used this
generate text block but there are many
other blocks. In fact there's 123 blocks
in this tab. Another 665 blocks in this
tab. One of the blocks I know in here to
be a create LinkedIn post block.
And here it says what account do you
want to use? If you haven't used any
account, you got to log into some
account oath it's called into it. And
then you have access to your accounts.
I've got three I can use. I'm just going
to use this one. And then I can say it
says, "What do you want me to post to
this Dmitri Shapiro account?" And here
I'm going to post what? Well, the post,
right? We just created a thing called
post. Or did we? No, we didn't. We
forgot. Sorry, jumping ahead of myself.
So, we called the model. Sarah, let's
step back. We trigger this with a
browser extension on any web page. We
get the page content. We send the page
content and the command extract
learnings to a model. Whatever comes
back, a bunch of bullet points. We save
it in a variable called bullets. We then
call a model again. We give it those
bullets we just got from this and say
write a LinkedIn post about this. Use
emojis. Here we want to save this to a
variable. And this variable I'm going to
call post because that's what this is
coming back with a LinkedIn post. So I'm
going to call it post. Now I can use
that variable in this field here when it
says what do you want me to post to
LinkedIn?
Well, whatever is in that variable post.
Okay. There's one other thing I want to
do because again I'm old enough to know
that I shouldn't post things publicly
that I haven't read cuz things can go
very wrong. And so here I'm going to
click plus after I create the post but
before we post it I'm going to click
plus and I'm going I'm going to use a
different type of block. This one's
called display content. Now some people
get confused between this generate text
block
because it's got this like big text area
and this display content block because
it's got this big text area. They are
nothing alike. This generate text block
calls a model and gets a reply back from
the model. This display content block
simply displays things back to the user.
It doesn't touch any model. It it's just
a display. It just displays things back
to the user. In this case, we're going
to display that post that we just
created in here in here. See that post?
We're just going to go ahead and display
it. And then we're going to pause
execution.
And then we're going to review it. And
if we say yes, then we're going to post
it to LinkedIn. Okay? And so that's it.
Like not not hard. And again, what I
want to show you here is like you can um
continue to add more blocks and use
variables to be able to do things in
those blocks. I can say publish and
again now I can go to this thing and I
can find this button
much faster. I can say run. By the way,
if I wanted to pin it, I could click
here and see I could pin it. And there's
like other things here obviously. And
then I can either sit here and watch it
run or we like to go to this debugger
over here and we can click on this and
we can watch it run in real time
and we can see what's happening, right?
Like it's it's it's instantiated itself.
It started. There it is. It loaded up a
bunch of those early variables. There's
the metadata variable. It also has all
the page content and all that. It's
called a model. Okay. And and it says
extract all learnings. And then it went
off and gave us all those bullet points.
Uh that cost us nine uh ten of a penny.
Uh then we uh uh called another model.
Okay. And now we're paused
on uh this display content block. And if
we look here, there is our LinkedIn
post. There's like our
um hashtags, there's some emojis, etc.
And if I say next, it's going to post
that to LinkedIn. Okay, I'm not going to
do it because I don't want to go delete
it, but you guys get it. This is a
really easy way to be able to chain all
of these things together, pipe them
together, and then make all kinds of
amazing agents. All of these I've shown
you are super simplistic,
but absurdly powerful. Again, even that
like one block pattern that I showed you
with the TLDDR, financial analyst,
there's countless superpowers you can
build right after this class for
yourself, for your friends. These make
great gifts. We've seen people doing
this knowing that their friend does
things repetitively and say, "Look, I
made you a gift. Here's an agent that
like will free you for, you know,
congratulations."
Uh, okay. Uh, any questions so far
before I build more stuff?
I think you're good to build more stuff.
Uh maybe one thing uh it it's not really
part of the builds you normally do, but
if you could just go over the logic
block and like human human in the loop
um interactions. I think there are
there's a question related related to
that and kind of conditional logic.
>> Perfect. Let's have you do it
and and uh I I can uh uh relax for a bit
and do is that cool?
>> Yeah. Yeah, that's cool. Awesome.
>> You guys are in for a treat. Uh I don't
normally do these these things, but um
>> What are you talking You don't normally
do.
>> I don't normally do the I don't normally
do the the the twohour ones. Um but
yeah,
>> you're not doing just doing the Just
Show them some of the
>> I got I got you. I got you.
>> I've never seen you to be shy. You guys
see like What is this?
>> Now Not now that Louis is married, he's
gotten shy.
Okay, can you all see my screen?
Okay, so uh I saw a question about um
you know pause commands and if then and
basically all this revolves around human
in the what we call human in the loop
interactions
and
you guys can all see my um my screen.
Yeah, thumbs up. Yeah. Okay, great. and
you see like uh okay great. So all of
these uh human in the loop interactions
are just different blocks that you add
to your workflows. So it's really easy
to uh incorporate some of these things.
We saw uh Dimmitri showcase um the user
input block. Did he showcase the user
input block? Right. Where you can create
these Google forms.
>> Not yet. That's what I was going to
build next. But again, feel free and
build these things like run with it.
>> Okay.
>> Yeah, I'm I'm handing this off to you.
I'm I'm losing my voice anyway.
>> You can always hand it back to me, but
>> Sure thing. Yeah. So, um you can use
these user input blocks to uh
incorporate these Google Forms style
form fields, right? And you simply add
the block. And then there's, as you've
seen, there's this configuration
interface on the right hand side. And
you can add new types of form fields by
clicking on the plus button and then
clicking on uh create new. And this is
going to show you uh a new input inside
of this folder called user inputs. Um,
now we learned about variables uh just a
moment ago where Dimmitri was showcasing
that page content variable. And in this
case, you can actually name your own
variable for what whatever you'd like to
name it. And the value from what that
what that person enters is saved uh into
uh this variable. So you can use it
later in your workflows. So uh for
example uh I can say something like what
uh kind of content
do you want to make right and there's
different uh user input types and you
can see a preview of it on the right
hand side. So this one's a long text
there's a bunch there's short text
there's uh the ability to upload files
and images and audio. Um, and what we're
going to be using is this uh input
called text choice. It's like a multiple
choice question. Um, oops, I uh
actually added the label in the wrong
place. And we're going to name the
variable content
uh type.
And you can add different options to
these inputs. So, I'm going to say
something like blog post or
uh social or maybe we can say LinkedIn
post. Maybe we add one more that is a
tweet storm.
Right? So now we have three options and
this is uh a point in the workflow where
uh the user or where we're going to
pause in the workflow and wait for a
user's response. So, if we set this AI
agent up in the same way that uh
Dimmitri set his AI agent up by clicking
on the start block and enabling it in
the browser extension, we now have
access to that same page content
variable. And then we can use that same
generate text block
in order to uh create the the content
that we want to make. Uh so I can say uh
uh we'll include page content at the
top.
There we go. And then we can say
based on the content above
create the following.
And then we can include the content type
underneath.
We maybe we want to say something like
the following new
type of content
reply only
with the new content
and nothing else.
Okay. So, we're taking in that same page
content. This is the content that's on
any web page. And then we're saying,
hey, use that to uh generate uh this new
thing that we're going to share
potentially on, you know, LinkedIn, just
like how Dimmitri had it set up, right?
So, let's go ahead and for now, we can
use this display content block or
actually we don't need that. We're going
to display this to the user and we're
just going to publish this and see what
happens.
The user input. There we go.
And now uh let's open up this agent. I
need to give it a name really quick.
Maybe I'll call this um multi-
content
generator.
And when we republish, we can go to any
website. So let's say uh the Verge,
there's this thing called Warner
Brothers mergers. We can open this up.
And then inside of my um Chrome
extension side panel,
this might have to do with um screen
sharing
on Zoom actually.
Okay.
Let's try this maybe on a different
site. Let's go to YouTube
and we'll go to uh podcast
and we can uh
here we go. We've got I don't know
something something here. Doesn't really
matter what it is.
We're going to use the Chrome extension.
There we go. And then we have this uh
new agent that we've just published.
Let me make sure I'm in
Oh, I think I'm I was testing stuff and
signed out of the
Chrome extension. There we go.
There we go. Okay, let's run this uh one
more time.
So now we have this multicontent
generator. I can click on run
and as it's running it's going to take
that page content and then we should be
presented with an option here. So you
see now we have this human in the loop
interaction. There are many kinds that
we can add. Um, and we can say I want to
create a tweet storm about the content
in this video. So, let me go ahead and
click on tweetstorm. And then you can
see here that uh based on the content,
we get each of these uh tweets. We could
obviously format this uh much nicer, but
this is awesome. We can now begin to use
uh this piece of content. So, that's one
human in the loop interaction that's
really easy. One of the most basic
types. The other type
um is well this is not human in the loop
but we are talking about uh if then
statements and sort of creating
conditional logic right and we actually
have a block for that
where we can uh if we click on view all
blocks and we scroll down we can find
this called the logic block and this
logic block is going to
uh It's going to route create two
different branching routes in your
workflow. So you can give it the con any
sort of uh context and you you create
these conditions and if either of these
whichever conditions met it will route
in that direction. So the uh a good
example of this I'm going to just uh
make another workflow here just uh to
show you how it works. We're going to
create a user input and this user input
is going to have a variable called
comment
and we can say what did you think
right so whatever they type in is going
to be saved as the comment and in our
workflow we can use a logic block
and we can uh include the
um the context and say the following is
a comment from a user
and we can showcase the comment, right?
And then we can put conditions it and in
this case in our example we're going to
say the comment is positive
and in the other one we're going to say
the comment is negative.
And then based off of these conditions,
we can add other blocks and route this
to different blocks. So for example,
if I uh have these two uh display
content blocks in this case or maybe we
have two generate text blocks.
One is going to show the comment
uh and say
reply to this comment
uh
thanking
the user, right?
And
we can give it the comment, right? So if
this is positive, we want it to uh say
thank you. And if it's
negative, let's say we want it to
uh we want it to ask, you know, why or
or what what the issue was. Um
so we'll do the same thing. We'll have
the comment and we'll say
based on
the comment above
uh infer
what
upset the user.
Okay. And so let's take a look at what a
workflow like this would look like. So
we're taking in a comment. We're using
AI to uh determine uh using kind of like
this conditional logic to determine
whether or not that comment was positive
or negative. And then we're doing
different things based on uh where the
AI routes this workflow.
So let's double check logic block must
not be empty. Oh, that doesn't matter.
That's in our other workflow.
Okay. And we will uh go ahead and and
open the draft.
Oops. We need to make this the entry
workflow. You can rightclick and find
all sorts of menus. Let's make this our
entry workflow
and open the draft agent.
And we can let's start by giving it a um
a positive comment. Wow, that was such a
great example.
Good job.
And its response was uh a thank you.
Right
now, let's go ahead and try this one
more time.
And we can say your example sucks.
You should
uh never do that again.
And in this case,
it uh tried to infer why the user was
upset. Right? So you have this sort of
conditional logic that you're able to
add in uh these various uh AI agents
that you end up building. And it's super
easy, right? It's just a couple of
blocks. And if you can determine the
path that you want your AI agents to
take, becomes really easy to create
these um these different workflows that
have uh all sorts of of different
outcomes based on, you know, things that
you view online, things that you end up
generating, you know, any sort of
information that you input into these
things.
So, I hope that answered the question.
Um Dimmitri, are you still there? Maybe
maybe we can uh open up the floor for
some questions.
>> I am if there's anything else you'd like
to cover uh regarding this uh this
feature.
>> I think questions sounds great.
>> Okay, great.
>> Yeah.
Any questions?
>> Hi. Uh this is Ellen Black. Um, can
do you have a like thumbs up thumbs down
capability available
uh so that you can record user feedback
on your agents?
Uh, you could certainly build one with
mine studio, meaning we have a a
multiplechoice user input that would
allow you to ask the user for a thumbs
up, thumbs down on things. So it just
depends on what it is you you are
building. Yeah.
>> And a rating input.
>> Yeah. Or you know again real thumbs up
thumbs down with vibe coded stuff. So
short answer is many yeses.
>> Okay. So if I created an agent uh or
assistant
>> I could build some way into that
with mine studio to capture feedback on
the response.
>> Yes. Now, your question is a bit
ambiguous, but I I'm certain whatever
you're trying to do, which is if you're
interacting with if somebody's
interacting with your agent is what I'm
hearing,
>> can you capture the response and get
their feedback? The answer is yes.
>> Perfect. Thank you. Even even better
than that um if you want to you know
edit that response in you know real time
and check in and say hey is this
something that is okay for example is
okay to post on LinkedIn. We have a
block called a checkpoint block which
will actually check in with the user
present the generated content that you
specify and you can chat with the agent
to make updates to that piece of
generated content.
>> Okay. Excellent. Thank you.
>> Yeah, generally you will find that uh
there are multiple ways if not many ways
to do things with M studio kind of the
way you want to work.
>> Great. One more question. Um
where where where do you stand in terms
of um your platform security? Like is it
sock 2 compliant now or uh
Excellent.
>> Yeah, we you can see on our homepage a
thing we call Trust Center. Uh we are
SOCK 2 type 2 compliant and audited.
We're GDPR compliant. We're finishing up
ISO 271
compliance. So
>> excellent. Thank you.
>> Uh hi, this is Jason Goldberg. I asked
the question in the chat, but I don't
know if anyone saw it. Do you is are you
can you build
>> can you build like non-web based agents
for or not I'm sure you can but how
would you do something if you wanted to
let's say you know I think the examples
I said is organize files on your
computer or like rele label them for you
or categorize them for you or
>> I don't know just things that aren't
web- based I guess.
>> Mhm. Well, so again, there's like web-
based uh uh
so again, let's take your example of on
your computer. Okay, it doesn't matter
if the thing is web- based or not. It
just needs access to your computer and
then it could be on your computer and if
it has access through some kind of a
proxy, then you could leverage that data
on the computer, use the web-based thing
to be able to analyze it and be able to
drive things on your computer. There's
nothing at this moment that we have that
installs on your computer that gives the
agents access to your file system.
And so this would need to be a
third-party thing that you know you you
would need to find. But if you did, then
it's really easy to get the agent to
connect to that thing. you know, that
thing more than likely will expose an
API or will export things out of your
file system and then it itself will call
an API that the AI agent can expose. So,
there's ways to integrate this running
in the cloud, but integrate it with
things that are sitting uh not in the
cloud, sitting inside of your perimeter
or on your computer or whatever
somewhere else.
Does that make sense?
>> Okay. So, you're saying at the moment
you can't do it locally?
>> Not Not with just Mine Studio. That's
right.
>> Got it.
>> Uh-huh.
>> Okay. Thank you.
>> Yeah. By the way, I I don't know.
Somebody else has asked me about this
before. I should probably do some
research. Offhand. I don't know like
what thing is available to run on your
computer to expose it. There's like a
bunch of obviously potential security
concerns and things like that to to
doing that. But uh I I suspect that I
mean there's nothing technically that's
preventing uh one that from existing and
two you from potentially even just vibe
coding that thing and uh and and then
it's easy to integrate it to mine studio
like that part's easy. Uh, Yakov.
>> Yeah. I wanted to know,
so you showed us how you there's the
prompt generator to kind of help build,
you know, very much more detailed,
elegant, and thought out prompts. Does
that would that work, you know, kind of
to go step by step through these
multi-step
um kind of chains that you showed us and
properly format the syntax where it's
pulling the, you know, kind of the
bullets from one and the the post from
the next and to generate the final
process or you still need to learn the
syntax of how to send you know collect
and send information from agent to agent
in those flows.
Yeah, we uh uh encourage people uh
strongly encourage people to learn to
build agents manually and so that you
understand how all of it works. But once
you've done that and again you can do
that and you know I would say half a day
to a day of real focus or if you come to
our boot camp you know in two days we'll
take you deep deep deep into it. So like
it's very learnable. You can learn to do
all of this stuff
later today by going to this learn
section, watching some of these
tutorials or going to documentation and
following some of these basically guides
of doing this stuff. Really easy to do.
You know, thousands of people have
learned to do it on their own without
any boot camps or whatever. Uh but once
you've learned to build agents on your
own, you don't actually necessarily have
to build them manually. You guys are
seeing my screen. Yeah.
I can say build new agent. And right
here
on this main automation screen of a
workflow, there's a button called
generate agent. You remember we had a
button here
when we did full screen generate. This
was generate the prompt for this
model call. But here what we're going to
do is we're actually going to generate
the agent, the entire agent. And so I
clicked that. It opened up a new tab.
And as I mentioned earlier,
this is just the Mind Studio agent was
built with Mind Studio and now it's
integrated back into Mind Studio is this
button opens up in a new tab. It says,
"What do you want your agent to do
and you can describe to it what it is
that you want it to do and push this
button and it might ask you some
questions and then it'll build it for
I'll just use this like recommended
thing. Track changes to a website and
email me updates, right?" And so it's
going to evaluate this which again is
actually quite a um ambiguous right uh
thing. And so it wants to ask us some
questions. Great use case. Let me ask
you a few questions. What specific
websites do you want to track? TechMe.
We can always change it later.com.
All right. How often would you like to
check? Uh daily at 9:00 a.m. Pacific.
Are you interested in tracking the
entire website? Specific sections or
element entire page. This is going to be
tracking a web page. Uh what kind of
changes are most important to me? Any
changes? Uh do you want simple
notification? Something's changed. Would
you prefer see exactly what content was
added? Exactly. Okay. And then I can say
cool. It says okay, I got you. Thanks,
lazy human. And then it's going to go
off and it's going to do a bunch of
work. It's going to create a plan
and then it's going to by the way as I
mentioned this thing itself is just an
agent and as you can see it's like it's
running itself and it's creating a spec
here a draft spec then it's going to
take us to this checkpoint block which
Luis mentioned that's going to allow us
to modify that spec in some way if we
want to and then we're going to say
that's great see this is the checkpoint
block it says here's what I'm going to
build I'm going to call it website
tracker daily monitoring ing checks
check me 9:00 a.m. Pacific.
Cool. This all looks good to me. If I
want to change anything, I can talk back
and forth with it. Say change this, move
that, whatever. I can just say build.
And then this thing is going to go off.
And again, it knows about mine studio
blocks. It knows about how mine studio
architecture should work in in agents.
And it will build for us the agent. Now
sometimes the agent is exactly what you
wanted and you can just run it and
congratulations. Sometime the agent is
not exactly what you want and that's why
we say if you know how to build then you
can just modify it quickly. If you don't
know how to build you might get stuck
and then get you know etc. But but
that's it. So this is yeah and again
sometimes this takes even a couple of
minutes to run but still faster than you
would do it you know and so so there's a
bunch of these types of things that are
inside of mind studio that are helpers.
And these are today we've learned you
know
5% of that 2% of mind studio there much
more to learn but it's all kind of like
that meaning it's not it's not harder
than that
and certainly if you come to like a boot
camp says great I've built you your
agent congrats here's the agent there it
is you know and and that's it and yeah I
can then like modify it and do whatever
okay so uh a bunch of things to explore
again I highly encourage you to not stop
to go to this learn section, spend some
time on these. These are awesome. This
is Louise mostly that's done these.
These are great. And you can just follow
them in order or not in order. It's up
to you, but an order works. And you will
learn a bunch of things. Give yourself a
few hours. You're going to be feeling
like, oh, I can build a bunch of agents.
You're going to be building agents.
You're going to be quite proficient in a
few hours. If you give yourself 10 hours
over time, you're going to be much more
proficient. You want to come to a boot
camp, come to a boot camp. We're going
to take you through all the paces.
You're going to be ultimately proficient
and certified level one. There's also a
30-day boot camp that you can attend.
You can get level three certification. A
bunch of people here have been through
that. Just learn much more. By the way,
there's a number of universities that
are uh going to start offering the Mind
Studio 30-day boot camp as their
continuing education curriculum.
Yeah. The first one uh up is San Diego
State University and then looks like
UCSD and University of Southern
Mississippi, you know, other folks. So,
like you can take it at your alma mater
perhaps as well if you want a
certificate from them.
Cool. Okay.
Uh all right guys well look again most
folks here already have heard all the
answers so it's a small number typically
we have many more so there's many more
questions so if we don't have them we
can give folks you know 35 minutes back
otherwise if you got questions happy to
answer them
>> hey Dmitri this is Solomon here I just
had a quick question for you
>> um right now Um, I'm working at at an
internship for a company and I want to
link my SharePoint into Mind Studio
using the API. I'm not sure too much how
that works. I've given them a link or
something like that and I've turned on
certain permissions from uh Microsoft's
developer developer page because I think
I need to do that to get it running, but
I haven't been able to actually pull any
information yet. I'm just wondering, is
there a common bug I'm running into?
>> Uh, not that I know of. probably
misisconfiguration. The best way to get
these things solved again for everyone,
join our Slack community,
>> okay?
>> All of these folks that you see here
that are certified are active there.
>> You can ask questions there. They might
be able to help you. Our team is there.
We might be able to help you. We can
help you figure out where you're, you
know, it's misconfiguration, I'm sure.
Yeah.
>> All right. Thank you. I appreciate that.
>> Yeah, it's a really friendly community,
so take advantage of it. For sure. Yeah.
And is there a link? I see someone asked
in the in the chat there.
>> Uh I'm sure there is a link. Let's see.
Can Did anybody find it yet? Or I can do
it too?
Here we go. Invite people. Copy. Invite
link.
There you go.
Thank you. Mhm.
All right, folks. Yeah, good to see you.
Uh, thanks for coming. We'll see you in
Slack. Yeah, and then if anybody shows
up out of this group to our next boot
camp, then we'll really see you, a lot
of you. All right, guys. Be well. Take
care.
>> Thank you very much, Me.
>> My pleasure.
>> Thanks. Byebye.
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