December 8, 2025 • 52 mins
Fear says AI will replace you; focus proves it can finally give you your time back. We sit down with AI and data strategist Vlada Mentik to unpack how solo founders and small teams can cut through the hype, start small, and build systems that free up hours for high-value work. The throughline is simple but powerful: mindset first, tools second. When you stop chasing shiny features and begin with a clear problem, a tiny workflow, and rich context, AI becomes a calm advantage rather than another source of stress.
Vlada shares a practical roadmap for getting started: choose the task you dread, map the steps in plain language, and ship one working automation before you add another. We get into the biggest traps—tool-first thinking, generic prompts, and automating chaos—and show how to avoid them with human-in-the-loop design, purposeful data, and small wins that compound. You’ll hear a standout example of automating client onboarding to make space for personal video welcomes that boost conversions and trust. We also explore data minimalism, arguing for intentional data over petabytes, and how faster, good-enough decisions often beat late, perfect ones.
Productivity gets a refresh here. It’s not about doing more; it’s about doing better—creating room to think, rest, and ship higher-quality work. We touch on no-code for prototyping and when to code for scale, why sharing prompts lifts team performance, and how transparency and sustainability factor into responsible AI use. The conversation closes with a crucial reminder: AI doesn’t think or create; you do. Treat it like a translator that amplifies your taste and strategy, and you’ll build leaner, smarter workflows without losing the human touch.
If this helped you see a cleaner path to practical AI, subscribe, share it with a friend, and leave a quick review—what’s the first task you’ll automate this week?
Check out "Protection for the Inventive Mind" – available now on Amazon in print and Kindle formats.
The views and opinions expressed (by the host and guest(s)) in this podcast are strictly their own and do not necessarily reflect the official policy or position of the entities with which they may be affiliated. This podcast should in no way be construed as promoting or criticizing any particular government policy, institutional position, private interest or commercial entity. Any content provided is for informational and educational purposes only.
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Transcript
Episode Transcript
Available transcripts are automatically generated. Complete accuracy is not guaranteed.
SPEAKER_03 (00:00):
The mindset runs the show.
We um like to do things the waywe learn to do, or sometimes we
got into habit of doing, and wealso have some ideas and
understanding.
And it's often with thedisruptive tech like AI, it's
completely different what weused to do or to kind of follow
(00:23):
the routine.
It's completely different, it'slike a new workflow.
So if you're not open to the newto kind of shift your mindset
from like fear of, oh my god,it's gonna replace me to or
actually maybe it might be justa very supportive tool and
useful, uh then there will be noadoption really.
(00:44):
You you will just uh probablystill be will be left behind uh
in in many cases.
So the mindset is veryimportant.
And I see that like actually thethe early adopters, usually
people who just have their uhhave this curiosity all all the
time in there in there like as adriver for trying new things,
(01:05):
improving, evolving.
So yes, I think mindset is areally big part of it.
Because as a tool, there therewere many tools that came and go
and were not noticed.
And I'm sure that uh it it's notit's not only uh it wasn't
happening only with AI, it'slike whatever, internet.
Same same story.
SPEAKER_01 (01:26):
It's the same story, but a different approach.
Lean, smart, and automated, theentrepreneur's guide to working
(01:46):
with AI.
And we are joined by VladaMentik, an AI and data
strategist consultant, productbuilder, and founder of the
Aspiring Way.
With over 13 years of experienceacross finance, um SAAS, crypto,
and consumer tech, she's helpedeveryone from large corporations
(02:11):
to lean startups translatecomplexity into clarity.
Fluid in Python, which I trulyadmired, cloud platforms and
practical business strategies,Blana knows how to cut through
the hype and help teams focus onwhat matters.
She workshops uh her workshopsare known for being hands-on,
(02:36):
mindset shifting and refreshinggargan-free.
Whether it's automatingrepetitive tasks, streamlining
workflows, or turning largelanguage models into real
productivity tools, her goal issimple.
Make AI work for humans, not theother way around.
In this episode, we talk aboutcutting through the noise,
(02:59):
building smatter without bit bwithout bigger budgets, and why
AI should work for you.
Welcome.
SPEAKER_03 (03:09):
Thanks.
Thank you so much for having me.
Uh, I'm really excited about thetopic because I live and I
breathe every day um with this.
And um I've been in tech and umAI uh for over 13 years now, and
I uh bring expertise to soloprofessionals like coaches,
(03:32):
consultants, uh creatives, uhfor the folks who wear all hats.
So I was uh see and like duringthis, during my journey, I was
seeing a lot of brilliant peoplelike stressing and burning out
while they had to juggle all theuh things they need to do in
(03:53):
order to run their independentuh business.
Or some of them uh would havereally great ideas but
rightfully be terrified to startand to even start and make it
happen.
And uh this like not everyonehas a team to delegate, uh, some
(04:14):
doesn't even have budget.
So that's why I'm was thinkingthat actually AI can um help
there, can be of a really greatuse.
That's what I'm doing now.
I am uh helping people designsmarter workflows so they can uh
focus on and do what they lovethe most without stress and like
(04:38):
free some time up for thingsthat matter.
SPEAKER_01 (04:41):
It's a beautiful endeavor because you you get to
to raise uh uh entrepreneurs andand SMEs that already have a
quite uh uh a long fight.
So you learn uh you learn fromtheir business and then you
learn how to make it better forthem.
SPEAKER_03 (04:57):
Yes, exactly, something like that.
SPEAKER_01 (04:59):
Oh, that's beautiful.
That's a beautiful work.
So let's start with the theaspiring way.
Tell us about it and what uh gapwere you trying to solve when
you launch it?
SPEAKER_03 (05:16):
So I'm trying to uh fill the gap between I know how
to sometimes I know how to runthe business because the truth
is that there is a lot of umlearning material out there.
You can go to I don't know,entrepreneurial schools, or
there are many ways how toacquire information, uh, but
(05:38):
there is sometimes very fewactions afterwards.
And um partially it's due to thefact that it's quite quite
overwhelming, or it requireslike uh a team of people and you
don't have access to this.
We are at the stage where AI canreally solve many of those
(05:58):
bottlenecks for soloprofessionals, solopreneurs,
smaller businesses, or notnecessarily start a business,
but like remove someinefficiencies from the current
already uh existing businessthat runs successfully, but you
know, the environment changesall the time, and uh you have to
keep up with it and you have tobe faster and smarter.
(06:22):
And I think AI is the way to atleast try to go.
SPEAKER_01 (06:26):
And helps you adapt uh in in in no time or or less
time than will traditionallyhave taken you.
SPEAKER_03 (06:32):
Exactly.
Because we live in a much fasterworld, the pace is crazy, and uh
yeah, you have to adapt.
SPEAKER_01 (06:40):
Adapt or die.
SPEAKER_03 (06:41):
Yeah, something like that.
SPEAKER_01 (06:43):
So everyone talks about automation, but where do
you actually start when you area solo founder or a small team?
SPEAKER_03 (06:51):
That's a great question.
Um the most straightforward isto start uh with the things that
drain you the most.
I think like when you uh do thelike self-exploratory or
self-development uh practices,or you try to you know learn
something new, the first thingyou're asked is like, what is it
(07:12):
that you don't like to do?
And then what is it that youlike to do?
So you can shift so you canshift your focus towards things
that matter to you, that youlove, you enjoy doing, that
recharge you.
And so um I advise and Irecommend to focus on things
that you don't like to dobecause often these are routine
and like you know, like grantwork that can be either
(07:36):
delegated or automated veryeasily.
Used to be that automation wasnot very accessible for you know
smaller businesses, more likereally big uh corporate
businesses with a lot of moneyor somewhat medium size.
But these days, again, thanks toum democratization of AI, it can
(07:57):
be done like everyone can do it.
Like even in your you know,everyday life, you can use to
remove a bit of a routine fromyour from your day.
SPEAKER_01 (08:07):
Remove the clutter.
SPEAKER_03 (08:08):
Yes, yes, exactly.
So start with the small thingthat the the second the second
is uh it doesn't have to be big,but it's something that you
don't want to spend your timeon.
And um generally like look uhlook at something that has to be
done, needs to be done, butdoesn't need to be you.
(08:30):
Okay, and uh it should besomething small to start with,
because um one small working AIsolution is better than five
half uh half finished.
SPEAKER_05 (08:42):
Okay.
SPEAKER_03 (08:43):
Yeah.
And also don't overcomplicatethis small task, the simplest
possible solution, like uh Iwould say on the need, like you
know, drafted in uh these uhsticks and uh uh circles, that's
the way to go.
Okay.
It gives it it gives a greatunderstanding and foundation to
build on later on.
SPEAKER_01 (09:04):
So it's it's it's good, it's a good mental
exercise as well.
So um you sit down and say, So,what do I dread doing every day?
What is the least enjoyable partof my everyday work?
And then from there you canstart understanding, oh, maybe
this can be uh automated in thisway.
SPEAKER_03 (09:24):
Yeah, it's often something repetitive, uh, but it
it is different.
I cannot say like start withcontent generation, not
necessarily.
It's different for everyone.
Like for me, for example, it waswriting.
Uh for other people, it could beum email, communication, I don't
know, thinking what to buy fordinner.
(09:46):
As simple as that.
SPEAKER_01 (09:48):
Yeah, also or or handling paperwork as well, like
classify the paperwork, alsoespecially.
That's that's that takes a lotof time.
SPEAKER_03 (09:56):
Absolutely.
Everything that has that has todo with data, that's that's a
really good um area forautomating with it.
Yeah AI.
Yes, that's for sure.
SPEAKER_01 (10:06):
Makes sense and make our life easier.
So, what common AI trap you seebusinesses fall into, and what's
a smarter way to approach it?
SPEAKER_03 (10:20):
That's a really a great question.
I think from my practice, themost probably common and also I
would say um in like it's like areally foundational one, is that
like often um we start with thetool, not with the problem.
Yeah, we kind of in there is uhwe hear like there is AI, it can
(10:43):
solve everything, messagearound, and we jump straight in
and like without thinking thatlike what it actually can do for
me.
There's also a lot ofmisconception uh around AI, like
I think around any newtechnology, uh, whereas people
sometimes I often see thatpeople think, tend to think that
(11:08):
AI is some kind of um anout-of-box clone of yours.
It's like where you which youcan prompt like be me, or well,
that's very uh reallyoversimplification, but or like
I don't know, sell cakes or dotaxes, do taxes.
(11:29):
Uh and then and then there'sdisappointment, obviously,
because it doesn't work thisway.
And it's um it's it's it can uhuh set you back a lot with the
idea that oh, this is justanother hype, uh it's not gonna
work, I'm not gonna go, I'm notgonna go there.
I think uh the way to approachthis is to first of all keep
(11:50):
your mind open for uh anythingthat can happen because it's a
new technology, it's notperfect, it's not always work
the way you think it shouldwork.
There are certain um rules andpractices, best practices to
follow.
And uh always uh do it with thelike the simplest possible way
(12:12):
you you can think of.
So no over like really beopen-minded.
The first, I think, would be mybest recommend recommendation
because it takes time still.
It's not uh like you know, youpress a button and everything
and magic starts happening.
SPEAKER_01 (12:29):
AI is not magic, it's a technology.
SPEAKER_03 (12:31):
Yes, but it does feel a bit sometimes magical,
really, when you see the resultor how fast uh it can you can
get to a result, it's like wow.
SPEAKER_01 (12:41):
You mesmerize, yeah.
Yeah, I think that's why it's soenticing that um and also as
humans we always crave uh uhimprovement.
Yes, we only we have this that'sinnate in human humanity, right?
And AI uh uh it it's uh it canoffer this uh this constant
(13:01):
improvement that we crave.
SPEAKER_03 (13:04):
Uh absolutely, especially if you're a little
bit uh over perfectionist as Iam, then it's like guilty, yes.
It's just it's just great.
SPEAKER_01 (13:13):
So um you uh you blend tech strategy and
storytelling.
Why do you think AI adoption issuch about is much about mindset
as it is about tools?
SPEAKER_03 (13:30):
This a little inter uh intersects with the previous
question a little bit, or atleast with my answer.
It's because the mindset runsthe show.
We um like to do things the waywe learn to do, or sometimes we
got into the habit of doing, andwe also have some ideas and
understanding.
And it's often with thedisruptive tech like AI, it's
(13:53):
completely different what weused to do, or to kind of follow
the routine.
It's completely different, it'slike a new workflow.
So if you're not open to the newto kind of shift your mindset
from like fear of, oh my god,it's gonna replace me to or
actually maybe it might be justa very supportive tool and
(14:15):
useful, uh then there will be noadoption really.
You you will just uh probablystill will be will be left
behind uh in in many cases.
So the mindset is veryimportant.
And I see that like actually thethe early adopters, usually
people who just have their uhhave this curiosity all all the
(14:37):
time in there in there like as adriver for trying new things,
improving, evolving.
So yes, I think mindset is areally big part of it.
Because as a tool, there therewere many tools that came and go
and were not noticed, and I'msure that uh it it's not it's
not only uh it wasn't happeningonly with AI, it's like whatever
(14:59):
internet.
Same same story.
SPEAKER_01 (15:02):
It's the same story, but a different approach.
Exactly.
Yeah so many people worry thatautomation makes businesses less
personal.
How do you design AI systemsthat keep the human in the loop?
SPEAKER_03 (15:17):
That's a common concern, and there is a reason
for that.
And indeed, I think it can bevery generic, but it depends on
the execution.
Uh a good AI system does not uhremove the personal touch, it it
clears the space for more of it.
(15:40):
So um I can give you an example,like one of my clients, for
example, she uh automatedonboarding process with AI,
which there were previously wayshow to automate it with non-AI
tools, but uh it was lesspersonal.
It took time to um figure outthings to fine-tune a little
(16:04):
bit, like uh fit uh the rightinformation, but then like she's
she she opened the space forlike creative part where she
came up with a uh personalizedvideo message to the new
clients, and that likeimmediately increased the level
of uh first of all success ofconversion, and then um it it
(16:29):
had like a super positive impacton um building the connection
because the new clients theythey all like still a bit like
you you have to buildrelationship with them, and now
like when she cleared out thatthing with like you know, typing
at the end of the day, like themessages became pretty generic
because you you know you do itevery day, you want like a
(16:50):
template to you know substitutethe exactly.
And uh with the AI, she got ridof this entirely, and then she
could like focus on like uhcreating those uh messages for
like really super personalized.
SPEAKER_01 (17:06):
And that's beautiful, and and
personalization is key forclient relationships.
SPEAKER_03 (17:11):
Absolutely, this is what uh everyone is uh in
marketing shout about that likeit has to be personalized, you
have to talk to your clients,you have to know your clients.
When you are when you're asolopreneur or like solo
profession, you don't alwayshave time for that because you
have many other things to do.
SPEAKER_01 (17:28):
So you're trying to stay afloat also, yeah.
SPEAKER_03 (17:31):
Don't go crazy sometimes.
SPEAKER_01 (17:33):
Yeah, so an AI can really help with that, with a
human touch, but also using theAI.
SPEAKER_03 (17:40):
Exactly, because at this at the current stage, AI
isn't uh isn't here to replaceyou, it's to augment and to
support you, like um to likelike if you have uh you know
extra hands uh to some extent toto handle things.
SPEAKER_01 (17:55):
I love that.
Uh I will be useful for thekids.
Um in your workshops, whatsurprises people the most when
(18:17):
they start working with thegenerative AI?
SPEAKER_03 (18:22):
That it's not as complicated as they thought.
Usually people um expect to havethis like giant learning curve,
but then when they see how likea properly designed prompt and
uh pipeline of uh custom toolsgenerate within sometimes
seconds, but maybe mostlyminutes, the uh, for example,
(18:44):
con like weekly um worth uhcontent for drafts for for their
social media, for example.
They're like wow.
That's where their mind gettinguh gets really blown.
Like it's not as complicated.
It's just it it needs to beopen-minded and to willing and
(19:07):
to to wish to to willing to sortof do this step and
transformation and to learnsomething new, but there's still
some learning involved, ofcourse, because it's um it's
it's scary, even right?
You see, like when like I don'tknow, text creating or image
creating, it's like that's a bitscary.
SPEAKER_01 (19:27):
But I I love that part that uh once you remove the
mystery veil and you start usingthe AI, you realize that oh
okay, I can I it's it's I canlearn to master it.
It's it's not as uh far fromfrom my everyday life than I
thought.
SPEAKER_03 (19:46):
Yeah, and then they also learn how to obviously
transfer it from work to theirlike real life.
And that's also I always uh Iget some um uh feedbacks on
like, oh, I did that with theguy, it was amazing.
Which was not part of a work.
Like uh one uh client of mine,she experimented a little bit
(20:07):
and she decided to ask uh to useAI to do research on um like
prof orientation for her childwho's going to to school or to
high school uh soon.
And she was like super uhpleased with the result and like
it was absolutely it saved her alot of time and uh some money
(20:28):
for the you know professional.
But uh yeah, so it was a verycurious experience with a
positive outcome.
SPEAKER_01 (20:34):
Yeah, of course.
SPEAKER_03 (20:35):
There is something else uh that's uh that that's
like the second uh thing, butit's very important, is that uh
it can be very it can be likethat AI can be deeply personal
if you contextualize it right.
Uh what what what do I mean bythat?
Uh it's like in order to uh inorder to use to harness the real
(20:58):
power of AI, you need to give itas much context as you can.
And that's not always obviousbecause uh yeah, there are some
guidelines how to use it, but welike to you know skip the manual
part and just uh jump straightto it.
And then you ask a question andyou get a very generic uh
response.
And and then again,disappointment.
(21:19):
But if you know how to to startwith, if you just know that you
have to cons to give propercontext, that will already help
you enormously.
And that's always like ahamoment where like things change,
like where you see that likeafter several uh adjustments,
the uh the output sounds morelike you or looks more like you
(21:42):
want it to look.
SPEAKER_01 (21:43):
Okay.
SPEAKER_03 (21:44):
So that's the second.
SPEAKER_01 (21:45):
So it's is it's uh giving the right input in order
to receive the right output.
SPEAKER_03 (21:50):
Yes, because uh you have to do it sort of once, or
it's uh not as long as if you doeverything over and over again,
because you you kind of you doit only it's like imagine you I
have this um um example likewhen you clean your desk, like
in order to get in the rightmood for some people, it's
(22:13):
important to you know to havethe desk uh properly set up, but
then like you know, it gets uhsuper busy, super busy all the
time, and then here you go, youhave again this like pile of
stuff on your desk with theyeah, it's like you do it once,
or more or less once, and thenit's done.
It's uh every time you you getback to work, it's always like
(22:34):
this.
It's a clean desk.
Clean desk neat and arrangedlike the way you want it to be
arranged.
SPEAKER_01 (22:40):
That's beautiful.
I love uh that metaphor.
SPEAKER_03 (22:43):
Because it's ultimately it's about saving
your energy for for other thingsthat you enjoy doing.
SPEAKER_01 (22:49):
And and and and truly um use it as something to
to facilitate your life, to makeyour life easier, better, more
efficient.
SPEAKER_03 (22:57):
Sure, absolutely.
Obviously, I'm a littleoversimplifying here, but of
course, of course, uh a bit moreum there are some intricate
details, but uh in the nutshellit is a bit like that.
SPEAKER_01 (23:09):
So um what's your view on data minimalism?
Should we always collect more oris less sometimes smarter?
SPEAKER_03 (23:21):
I'm all for intentional data.
So more isn't always better, anduh oftentimes it actually it
complicates things enormouslybecause there's uh big big costs
on collecting those data,clearing them from noise, and um
yeah, you can just get drownedin it.
(23:43):
Uh so small data uh means lessnoise, uh less overwhelm, and
it's easier to align it uh withprivacy also uh values, and it
really help generally, yeah, itit it makes decision faster.
(24:05):
And I think ultimately it's notabout the right decision, it's
about being able to take fastdecision.
SPEAKER_01 (24:11):
Okay.
SPEAKER_03 (24:12):
Sometimes that that matters most because if you do
10 fast decisions over oneright, likely you're gonna win
with the fast approach than justlike obsessing over collecting
all the data, and then likethree years later.
SPEAKER_01 (24:27):
Yeah, perfect, perfect option.
SPEAKER_03 (24:29):
You're still there with this uh tons of petabytes
of data, but uh nothing changes.
SPEAKER_01 (24:33):
Okay.
SPEAKER_03 (24:34):
So I'm for like, but okay, I I say small data, it's
uh for purpose.
Yes, for purpose, and it's notthat small, really.
It's it still has to besignificant.
You can't ask one person, forexample, if you do research or
survey, you don't you can't askone purpose, or sorry, one uh
person, and okay, there it is.
It's intentional, it'spurposeful, done.
(24:55):
I'm gonna do this.
No, no, that's that doesn't workeither.
It's it still has to be uhsignificant, but um there's
indeed no need for petabytes ofdata, that that's for sure.
SPEAKER_01 (25:06):
Okay.
And you help people streamlineoperations and boost
productivity.
But what does productiveactually mean in a world flooded
with tools?
SPEAKER_03 (25:20):
I love this question.
It really depends.
For me, for example,productivity is not isn't
necessarily about doing more.
It's um I think it's a it's abit of a mixture, and the most
important part for me is aboutdoing better.
Uh, I already mentioned that I'ma little bit of a perfectionist,
(25:42):
just a bit.
I spent a lot of time previouslyto try to, you know, find a
compromise with this part uhwith this feature of mine.
And now with like my army ofmini uh AI tools and GPTs, I
don't have to compromiseanymore.
I just I just get to this samealmost perfect in my
understanding result within thesame uh within the same time and
(26:06):
uh without any overwhelm orstress, and it just works well
for me.
So it doesn't mean that so forme personally, it doesn't mean
that I work less.
Okay, but but can be really.
You can work less.
It's it's so it's a matter ofpriorities, but like within the
same amount of time, I producemuch better results, which I'm
more happy with, and you know,like I'm just finally enjoying
(26:30):
it.
So it's it's it's not all uhvery long checkups and checkoffs
on checkups.
Exactly, and uh there is ofcourse more because certain
things I wouldn't even even beable to do uh by myself
previously, like photogeneration, for example, like uh
(26:50):
even video generation, someproduction.
Yeah, for me it's mainly it sitswithin the area of uh image and
video uh handling, but um forexample uh for some of my
clients it's about marketingstrategies or uh getting ideas
for content production.
(27:10):
So not necessarily productionbut the ideas to this this uh
this this uh flow, theoutsource, not outsource, but uh
augment with AI help becausethere are many tools to follow
trends and you know you canbuild really beautiful uh
pipelines to make it smooth andfast.
(27:34):
So to to finish on the uh pointis uh I think that true
productivity is about creatingspace to actually think, uh to
rest, and to you know get newideas.
SPEAKER_01 (27:48):
Yeah, because you you need time to rest in order
to get uh inspiration.
SPEAKER_03 (27:53):
Absolutely, otherwise uh you just um you're
just gonna get overwhelmed, burnout.
It's it's uh unfortunately it'suh there's a reason why uh
burnout is a classified diseasethese days because it's
happening all over and um yeahwe we all I think once or twice
in life already went through ituh consciously or unconsciously.
(28:16):
So it's very important becauseif you don't have this space for
reflecting, resting, and uh justyou know, you don't create
value, you you you just don'thave energy to create value for
for what you want and for forfor what matters for you, yeah.
SPEAKER_01 (28:33):
And then everything falls apart.
SPEAKER_03 (28:36):
True.
SPEAKER_01 (28:38):
So let's uh flip it.
When is automation not theanswer when the process is
broken?
SPEAKER_03 (28:47):
You don't automate chaos, and um unfortunately I
seen it, I see it a lot.
Because often that that's that'sa bit of a both uh well, problem
for the entrepreneurs good forme because I often help to uh
solve those issues exactly.
Um small businesses and likesolo professionals and
(29:11):
solopreneurs, they didn't haveuh resources to think about
automation in general before theAI got really uh available for
everyone.
And then we have this issuewhere the processes are not yet
digitalized enough to be put onuh AI rails.
(29:31):
Let's put that, let's put itthis way.
So I see often that like I workwith some e-commerce and uh uh
businesses that already like uhdevelop businesses, uh they sell
something online or services,and it's it's uh the those are
successful businesses, andthey're like, okay, let's uh
this is also going back to theuh jumping on a tool, let's uh
use AI to supercharge ourbusiness.
(29:54):
And then they try, and then itturns out, oh, we have so many
things that we could have firstautomated with simpler tools,
and that's actually necessary todo before we can introduce AI,
because otherwise it's just notgonna work.
It's not gonna work.
You cannot uh build a chatbotand say sell balloons, it will
not uh end up well because theprocess is super complicated.
(30:18):
And if it's not properly kind ofdigitalized, yeah, I like this
word digitalized because thereare a lot of already tools on
the market that you can do itwith, it will be hard to
introduce AI in the process.
So if there's cows in the in theprocess, it's not gonna work
well, you're not gonna get anynice result.
(30:39):
You you it's like trash in,trash out.
SPEAKER_01 (30:52):
Okay, so now we move to the flash section.
You have to think fast, pickone.
You can just say whatever youpicked, or you can explain it
away if you will like.
Less data, more clarity, or moredata, better decisions.
(31:13):
Less data, more clarity.
AI that makes you faster, or AIthat helps you think better.
Think better always.
SPEAKER_03 (31:24):
Track everything, or only track what drives revenue.
Track what matters.
Because yes, revenue is a nicemetric, but sometimes revenue is
not the only metric, and thereare certain things that
influence uh revenue outside ofyour control.
So no matter how you how muchyou track it, you should you
(31:45):
shouldn't forget that it's umit's not the only one, and it
not necessarily matters.
Of course, it's good forbusiness, no one doubts that,
but it's not always the one thatyou be solely focused on.
SPEAKER_01 (31:58):
Okay.
Because it's it's all creativeit's also creating value, it's
further than just absolutely.
SPEAKER_03 (32:04):
Sometimes you know th times are not just uh good
for for business, happens often,unfortunately.
But if you uh just purely uh uhfocus on driving the revenue,
you may forget about like yourcustomers, yeah.
Value, like you what they value,what they want, and your
engagement with them.
And then you start losingcustomers even faster, and
(32:25):
that's no good for revenue atall.
Yeah, so I think you should uhalways track what what matters,
and it's not necessarilyrevenue.
Of course, it's part of usuallypart of the most important.
SPEAKER_01 (32:39):
It's important, but it's not the only thing.
Yes, okay.
No call, no codes, tools, orlearning to code what you really
need.
SPEAKER_03 (32:51):
No code to start.
We're at the we're in the erawhere you can totally no code to
start whatever you want, um, totry or you know, to see uh to
test your hypothesis of aproduct or a new idea.
And then it is absolutelynecessary to code if you want it
to be um robust and like workingwell in the longer, longer
(33:15):
perspective.
If you want to actually grow itinto a big product, for example,
it's important.
And there's also other thingslike there are areas that I
like, I don't know.
I don't think you probably wouldwant your bank application to be
wipe coded or no-coded.
SPEAKER_01 (33:29):
So yes, so they both serve a different purpose.
Absolutely.
No coding to sandbox, forexample, to to make uh to to
play with the design to makesure that this is what you want,
and then you move to coding.
SPEAKER_03 (33:44):
Yes, yes, uh, yes, absolutely.
SPEAKER_01 (33:46):
Okay, so fully autonomous or always human in
the loop.
I'd say human in the loop.
Share your prompts with the teamor keep your magic private.
SPEAKER_03 (34:01):
Absolutely share because it's uh first of all,
there's enough magic goingaround.
And then it's like when youshare, you create like uh
usually like your value isreturned into in in in in bigger
like uh knowledge.
Yeah, because uh one head isgood, but two is always better.
SPEAKER_01 (34:21):
That's true, that's true.
Delegate decision making to AIor just let it handle the grunt
work, grunt work, okay, yeah.
SPEAKER_03 (34:32):
The strategy and um or stays human.
SPEAKER_01 (34:37):
Build to a scale with AI or build to stay small
and sharp.
SPEAKER_03 (34:44):
I'd say build to stay fast and sharp, and then a
combination there.
Yeah, because small is nice, butnot un doesn't always serve
someone's ambition.
Yeah, but these days you canbuild fast and sharp, and then
that would help you scale smart,really, also without losing like
(35:06):
uh your mind.
SPEAKER_01 (35:07):
Okay, with without going and going uh crazy and and
working yourself to the ground.
Final flash question (35:13):
automate everything but control nothing,
or control everything butautomate nothing.
Neither.
SPEAKER_03 (35:23):
Ah I think smart automation with intentional
control.
That's very like I I said aboutum when you try to automate uh
chaos, it's like um yeah, no,smart automation with some
control.
SPEAKER_01 (35:42):
Yeah, okay.
So now you can take our futuristtrue palette and you can choose
um either true, uh meaning thatis the statement is gonna happen
soon or is happening right now,it's about to happen, or
futuristic futurist.
Not yet, maybe never, sci-fi,you went too far.
Okay, so first question (36:06):
most freelancers will use a personal
AI assistant as common hasemail.
True.
SPEAKER_03 (36:17):
Yeah, I think it's quite happening already.
We're at the stage where you youcan use the AI as your
assistant.
It depends, of course, what youmean by the assistant, but uh,
let's say 60 to 80 percent ofthe work, it still cannot
schedule your uh tickets toJapan, for example.
(36:37):
But we're getting there, yes.
SPEAKER_01 (36:39):
Hopefully, yeah.
I I hate looking online forflights.
Oof, it's something, and evenwith all the tools, there are
the there are the apps and allthat, it's always a mess.
Yes.
And because I like to check theconnection, the time, I like to
check the plane, uh to know ifhow big it is, because I'm I'm a
I'm um I'm not a very confidentflyer, so I'm gonna make sure
(37:01):
it's a big place.
So the bigger the pain, the lessthe movement.
Yes.
So yeah, all of that I will behappy to have an AI to help me.
SPEAKER_03 (37:09):
There is like uh agentic like tools already
available, and uh one of the Ithink for them, uh one of the
most I think typical examples,they try to showcase their like
uh capacities, capabilities,they plan a trip somewhere.
And uh yeah, it's a mess.
(37:32):
Let's say a couple months ago itwas a mess, but like recently it
starts looking much better.
Like there is um, I don't knowif we can say names.
Yeah, go ahead, go ahead.
Like, for example, there isChinese uh agent uh uh called
Menus.
He it's really close to if youprompt it with what you just
told me about like what you wantto check, I think you'll be
(37:55):
surprised with the outcome.
Okay, I yes, you could try it.
SPEAKER_01 (37:59):
I will try it because I I I like to have all
the information, but it takestime.
SPEAKER_03 (38:04):
It takes time.
Yes, that that's true.
And uh the the main problem withDI is that it tends to just mess
with the dates, it confuses thedates, it uh sometimes uh yeah,
when it comes to calculating, uhit's still pretty bad.
So it's better better to ask aquestion about calculation uh uh
in a way that it would write acode to solve the problem.
(38:26):
Then it it the result is isrobust.
But if you just say I don'tknow, two plus two, what it is
equal, of course it will notmake a mistake.
SPEAKER_01 (38:35):
But generally more complex kind of uh math is gonna
be a problem.
Okay.
That's that's good to knowbecause I'm very bad at math.
So I what I for math I use.
There's uh there's some umonline website that you can
really use for math, and youjust put the the numbers I can
help you, but it would be greatif uh AI can do can do that.
SPEAKER_03 (38:55):
But again, like uh uh uh right now and like things
change so fast that I'm not surewhat's gonna like maybe in a
month, uh there will be alreadylike a designated designated
tool for at least like bookingtickets, for example.
Like a flight, uh flightassistant.
Something like that,specifically designed for that.
Yeah, um, yeah, it changes veryfast.
SPEAKER_01 (39:15):
Yeah, I'm I'm I'm I'm um I'm very forward for
looking forward for that tool tobe developed.
Okay, so investors would ask foryour AI automation plan in your
pitch deck.
True.
SPEAKER_03 (39:34):
I'm not sure about the pitch deck, but definitely
uh they would be looking at thefounders who already it's like
there will be no point to go uhto uh to to go fundraising if
you haven't built already aprototype or something with AI.
So that's that's gonna be reallysuper ever like um you you
(39:59):
become you Because uh it's justlike available right now.
So if you come to an investorand like, you know, I just have
this idea and you didn't try ityourself with AI, that will be
like that will be probably nostraight away.
SPEAKER_01 (40:16):
Okay.
SPEAKER_03 (40:17):
Just because it's so available.
It is known that um in order tobe successful with fundraising,
you probably better to have uhon average already some
traction.
It used to be much morecomplicated because you probably
depend on what you are trying tolaunch, uh uh obviously, but it
was much more complicated.
You would need a co-founder withlike tech skills or higher team,
(40:41):
like do some initial investmentuh into it.
But now you don't have to do itall.
You kind of can uh no-code ofthis uh uh more uh modern
language, wipe code your productand see if we talk about tech
products, of course, uh and seeand get some initial feedback,
and then you go to theinvestors.
I I don't think like people,investors would buy anymore for
(41:04):
just a brilliant idea.
SPEAKER_04 (41:06):
Okay.
SPEAKER_03 (41:07):
If you like a well-rounded uh founder where
you like have, I don't know, atrack record of yeah, track
record, you already know how todo this small thing.
So uh I think it's it's true,it's it's now here already.
SPEAKER_01 (41:21):
Okay.
Startups will hire AIconsultants before they hire
human staff.
unknown (41:30):
True.
SPEAKER_03 (41:30):
Yeah, well, it depends.
So it if you mean AIconsultants, people like who
help uh adjust the workflow soit can be done with the help of
AI, then absolutely yes.
And even not startups, uh, thereare agencies already, and like
like even me, me, I do thisthing.
I uh re um re-engineer someprocesses for businesses so they
(41:51):
can use AI for that.
So yeah, it's I think true.
True, yeah.
I even have like um a friendwho's running um the consultant
AI consultancy also, and umthey're like about 50 people.
And if not for AI, he said thatthat like they would be 150
people.
They should be 100 people.
(42:13):
They they save that much onstuff.
SPEAKER_01 (42:15):
That's good, that's crazy.
But and great as as well, thatthey can they can run a leaner
business, be more efficient, andhave AI.
So you get um okay, you willoutsource your inbox entirely to
a chatbot that knows your tone.
(42:38):
True.
Yes, no one likes readingemails.
SPEAKER_03 (42:42):
I would say half true, okay, in between.
It's not that futuristic.
Okay.
The problem here is that likeinboxes are a bit like sacred,
and uh people and there there'sa lot of issues, but you can for
sure outsource certain uhprocesses, like for example.
Um we I built like I helped uhto build uh the other day um
(43:06):
like um negotiator, like a botthat negotiates.
So there's an incoming uh theninquiry for quotes and uh people
ask for discount, and then botis prompted with certain uh uh
knowledge about what thediscount could be, the terms,
etc.
And it it is allowed this bot toanswer only these emails and
(43:29):
negotiate with the client.
SPEAKER_01 (43:31):
Wow, that's that saves lots of time, really.
Because you he already has theparameters, so he knows how how
he can provide the discount inwhich uh uh scenarios, and then
it just uh negotiates.
Oh, that's great, and that'ssafe work as well, because it
then when the person, when theclient actually comes in, then a
person starts working with them.
(43:53):
But the the the vetting part,the filter is already happened
with the AI before.
SPEAKER_03 (43:57):
Yes, exactly.
Okay, that's great.
So it's uh it's kind ofhappening, but I won't go as far
as the entire inbox because youstill want to be uh in in touch
with the reality.
SPEAKER_01 (44:10):
You still want to talk to people.
Legal disclaimers will berequired to prompt used in
commercial LLM's outputs.
SPEAKER_03 (44:20):
Uh yes, I think this this uh this is true, and this
is getting uh just uh faster andfaster and more uh all over.
SPEAKER_01 (44:28):
Yeah.
SPEAKER_03 (44:28):
I think it's also be transparent.
SPEAKER_01 (44:30):
You're using ice okay, you can say it.
SPEAKER_03 (44:32):
Yeah, I think it's uh it's very important also, and
yeah.
SPEAKER_01 (44:37):
Okay.
You'll get fined for overusingAI without optimizing human
collaboration.
True.
SPEAKER_03 (44:46):
I'm very futuristic.
But that's a good idea.
That's definitely a good idea,especially considering that AI
is still very expensive to run.
Right?
Not only money-wise and datafactors, but also it's not very
sustainable.
Okay, still.
(45:07):
There's lots of water uh wasteuh in the process.
So I think we all should be abit smart about it, or more like
um careful and mindful, becauseum it's uh it's taking
resources.
SPEAKER_01 (45:24):
Okay, okay.
So we need to be on we need touh think about ways of making it
uh uh more efficient, uh umsustainable.
SPEAKER_03 (45:35):
Absolutely, yes.
It's not for I guess for like uhusers to think about it, but
it's like with uh I don't know,plastic or uh you know all these
initiatives about uh recycling.
SPEAKER_01 (45:46):
Yeah, it's not quite the same, but it's also it it
touches on this automationfatigue will become a
diagnosable workplace condition.
I don't know what that means.
So um when you have to like uhyou you go to your workplace and
(46:11):
everything is automated, and theonly thing that you do is to
survey that the work is if itflows.
So you don't you don't really doanything but to supervise if the
machine doesn't go crazy, forexample.
That was the idea behind thisquestion.
Yes, that's a good one.
So you feel like a like asoulless kind of uh task.
SPEAKER_03 (46:30):
I think it's it's not impossible, but it's a
little futuristic at this pointbecause we're nowhere near that
point with AI.
Okay.
I'm sure there is such a thingwhen it comes to some
production, whereas this heavymachinery.
SPEAKER_01 (46:44):
Yeah, that's what I thought is that you know that
people that work in like linemanufacturing, things like that,
that they do the same thing overand over and over, and that of
course provides fatigue.
SPEAKER_03 (46:54):
Absolutely.
So I think there is uh uh umreally solid ground for this to
happen with AI when we get tothe point, if we get to the
point where it's all autonomous,but not not right now.
SPEAKER_01 (47:08):
Not yet.
SMEs will be required toregister the ethical impact of
their automations.
SPEAKER_03 (47:18):
I think it's futuristic, but it's uh it's
gonna happen.
It's uh it's it's important alsofor for um everything to be
ethical, transparent, and withgood purpose and intention.
SPEAKER_01 (47:32):
There will be a marketplace for selling your
best AI prompt chains.
SPEAKER_03 (47:38):
Yes.
I think some people already tryto do that, right?
SPEAKER_01 (47:42):
I I feel that there's a lot of little online
webinars and things like that ofpeople.
Yeah, yeah, exactly.
SPEAKER_03 (47:48):
It's not quite a marketplace yet, but it's
definitely happening.
And maybe, maybe there isalready.
I was I'm just not aware, to behonest.
SPEAKER_01 (47:57):
Uh, final question.
Clients will ask for you todisclose if your proposal was
drafted by a human or AI.
SPEAKER_03 (48:06):
And they should.
Yes.
SPEAKER_01 (48:08):
That's important.
SPEAKER_03 (48:09):
I uh yeah, I always uh uh now these days start to
ask, is that uh is that AI?
You can see these days, evenlike um on Instagram or like
social media, some ads, it'sclearly AI generated.
Yeah, yeah, like human not real,for example.
Yeah.
I don't have anything againstit, it's just um it's just how
(48:33):
it it how you ubiquitous itbecomes, and I think it's
important to uh uh disclose thatuh you generated something with
AI, especially if it comes todocuments like Yeah.
SPEAKER_01 (48:45):
I I love using AI uh for editing my drafting because
oftentimes I I I I draft like afull paragraph of a full text,
and then I want to to make itmore semantic, to make more
sense, to to have like a betterflow, and AI is is great for
that.
It really helps you to put yourthoughts into a structured way.
SPEAKER_03 (49:06):
Absolutely.
It provides the great frameworkor structure to to to the chaos
in in one's head.
That's that's for sure.
SPEAKER_01 (49:14):
Yeah.
So um now the the question toclose the episode.
What's one mistake you wishevery founder will stop making
when using AI?
And what belief should theyreplace it, and what belief
should they replace it withinstead?
SPEAKER_03 (49:36):
At this stage, it it is as simple as AI doesn't
create or AI doesn't think, butit's uh you do.
That's that's that's one thingthat I keep repeating over and
over again that AI is more likea translator or transformer.
(49:57):
It doesn't think, it doesn'tcreate, it doesn't generate
anything new.
We we can argue a little bitabout the generation bit because
it seems like it's generating,but in reality it just has so
much they they they call itlarge language models for a
reason.
They sit on a large uh data,like really vast amount of data,
(50:17):
which allows them to recombineit or translate it into a
different form, but ultimatelythey don't come up with it.
So it's it's it's the creatorwho shapes it, it's you who do
the creating part.
You just you can think of uh ofit well yeah, in general it's a
(50:39):
very big topic, right?
So uh maybe in this particularcase I I I mean more tools like
Chat GPT and uh or Clot orother.
There are many others.
It's like it's like a pen, youknow, it's useless until it has
a hand that directs what itwrites, right?
So that's a little bit likethat.
SPEAKER_01 (50:59):
Yeah, that's a that's a very good way of seeing
it.
So it's a tool, and then you'rethe one who have to shape how it
goes.
Thank you so much.
Um, thank you, Vlada, for forsharing with us, for sitting
here and and talking about AIautomation and all the
possibilities that we have atour fingertips right now and
also the the future potentialthat will come.
(51:22):
Um thank you for reminding usthat AI isn't just for tech
giants or research labs.
It is a practical tool thatsmall businesses, small teams
and entrepreneurs can use rightnow to simplify, to scale, and
to focus on what really matters.
Because when AI is applied withpurpose, it doesn't replace your
(51:43):
vision, it amplifies it.
And that's where the realtransformation begins.
SPEAKER_03 (51:48):
Thank you very much, and really well said with was
the last uh uh um thought ofyours.
It's it's indeed like that.
It's just in the right uh handswith the right ideas, it it
helps a lot.
Thank you very much for havingit was having me here.
It was a lot of fun.
SPEAKER_00 (52:05):
Thank you.
Thank you for listening toIntangibilia, the podcast of
Intangible Law.
Plain talk about intellectualproperty.
Did you like what we talkedtoday?
Please share with your network.
Do you want to learn more aboutintellectual property?
Subscribe now on your favoritepodcast player.
Follow us on Instagram,Facebook, LinkedIn, and Twitter.
(52:26):
Visit our websitewww.intangibilia.com.
Copyright Leticia Caminero 2020.
All rights reserved.
This podcast is provided forinformation purposes only.
The mindset runs the show.
We um like to do things the waywe learn to do, or sometimes we
got into habit of doing, and wealso have some ideas and
understanding.
And it's often with thedisruptive tech like AI, it's
completely different what weused to do or to kind of follow
(00:23):
the routine.
It's completely different, it'slike a new workflow.
So if you're not open to the newto kind of shift your mindset
from like fear of, oh my god,it's gonna replace me to or
actually maybe it might be justa very supportive tool and
useful, uh then there will be noadoption really.
(00:44):
You you will just uh probablystill be will be left behind uh
in in many cases.
So the mindset is veryimportant.
And I see that like actually thethe early adopters, usually
people who just have their uhhave this curiosity all all the
time in there in there like as adriver for trying new things,
(01:05):
improving, evolving.
So yes, I think mindset is areally big part of it.
Because as a tool, there therewere many tools that came and go
and were not noticed.
And I'm sure that uh it it's notit's not only uh it wasn't
happening only with AI, it'slike whatever, internet.
Same same story.
SPEAKER_01 (01:26):
It's the same story, but a different approach.
Lean, smart, and automated, theentrepreneur's guide to working
(01:46):
with AI.
And we are joined by VladaMentik, an AI and data
strategist consultant, productbuilder, and founder of the
Aspiring Way.
With over 13 years of experienceacross finance, um SAAS, crypto,
and consumer tech, she's helpedeveryone from large corporations
(02:11):
to lean startups translatecomplexity into clarity.
Fluid in Python, which I trulyadmired, cloud platforms and
practical business strategies,Blana knows how to cut through
the hype and help teams focus onwhat matters.
She workshops uh her workshopsare known for being hands-on,
(02:36):
mindset shifting and refreshinggargan-free.
Whether it's automatingrepetitive tasks, streamlining
workflows, or turning largelanguage models into real
productivity tools, her goal issimple.
Make AI work for humans, not theother way around.
In this episode, we talk aboutcutting through the noise,
(02:59):
building smatter without bit bwithout bigger budgets, and why
AI should work for you.
Welcome.
SPEAKER_03 (03:09):
Thanks.
Thank you so much for having me.
Uh, I'm really excited about thetopic because I live and I
breathe every day um with this.
And um I've been in tech and umAI uh for over 13 years now, and
I uh bring expertise to soloprofessionals like coaches,
(03:32):
consultants, uh creatives, uhfor the folks who wear all hats.
So I was uh see and like duringthis, during my journey, I was
seeing a lot of brilliant peoplelike stressing and burning out
while they had to juggle all theuh things they need to do in
(03:53):
order to run their independentuh business.
Or some of them uh would havereally great ideas but
rightfully be terrified to startand to even start and make it
happen.
And uh this like not everyonehas a team to delegate, uh, some
(04:14):
doesn't even have budget.
So that's why I'm was thinkingthat actually AI can um help
there, can be of a really greatuse.
That's what I'm doing now.
I am uh helping people designsmarter workflows so they can uh
focus on and do what they lovethe most without stress and like
(04:38):
free some time up for thingsthat matter.
SPEAKER_01 (04:41):
It's a beautiful endeavor because you you get to
to raise uh uh entrepreneurs andand SMEs that already have a
quite uh uh a long fight.
So you learn uh you learn fromtheir business and then you
learn how to make it better forthem.
SPEAKER_03 (04:57):
Yes, exactly, something like that.
SPEAKER_01 (04:59):
Oh, that's beautiful.
That's a beautiful work.
So let's start with the theaspiring way.
Tell us about it and what uh gapwere you trying to solve when
you launch it?
SPEAKER_03 (05:16):
So I'm trying to uh fill the gap between I know how
to sometimes I know how to runthe business because the truth
is that there is a lot of umlearning material out there.
You can go to I don't know,entrepreneurial schools, or
there are many ways how toacquire information, uh, but
(05:38):
there is sometimes very fewactions afterwards.
And um partially it's due to thefact that it's quite quite
overwhelming, or it requireslike uh a team of people and you
don't have access to this.
We are at the stage where AI canreally solve many of those
(05:58):
bottlenecks for soloprofessionals, solopreneurs,
smaller businesses, or notnecessarily start a business,
but like remove someinefficiencies from the current
already uh existing businessthat runs successfully, but you
know, the environment changesall the time, and uh you have to
keep up with it and you have tobe faster and smarter.
(06:22):
And I think AI is the way to atleast try to go.
SPEAKER_01 (06:26):
And helps you adapt uh in in in no time or or less
time than will traditionallyhave taken you.
SPEAKER_03 (06:32):
Exactly.
Because we live in a much fasterworld, the pace is crazy, and uh
yeah, you have to adapt.
SPEAKER_01 (06:40):
Adapt or die.
SPEAKER_03 (06:41):
Yeah, something like that.
SPEAKER_01 (06:43):
So everyone talks about automation, but where do
you actually start when you area solo founder or a small team?
SPEAKER_03 (06:51):
That's a great question.
Um the most straightforward isto start uh with the things that
drain you the most.
I think like when you uh do thelike self-exploratory or
self-development uh practices,or you try to you know learn
something new, the first thingyou're asked is like, what is it
(07:12):
that you don't like to do?
And then what is it that youlike to do?
So you can shift so you canshift your focus towards things
that matter to you, that youlove, you enjoy doing, that
recharge you.
And so um I advise and Irecommend to focus on things
that you don't like to dobecause often these are routine
and like you know, like grantwork that can be either
(07:36):
delegated or automated veryeasily.
Used to be that automation wasnot very accessible for you know
smaller businesses, more likereally big uh corporate
businesses with a lot of moneyor somewhat medium size.
But these days, again, thanks toum democratization of AI, it can
(07:57):
be done like everyone can do it.
Like even in your you know,everyday life, you can use to
remove a bit of a routine fromyour from your day.
SPEAKER_01 (08:07):
Remove the clutter.
SPEAKER_03 (08:08):
Yes, yes, exactly.
So start with the small thingthat the the second the second
is uh it doesn't have to be big,but it's something that you
don't want to spend your timeon.
And um generally like look uhlook at something that has to be
done, needs to be done, butdoesn't need to be you.
(08:30):
Okay, and uh it should besomething small to start with,
because um one small working AIsolution is better than five
half uh half finished.
SPEAKER_05 (08:42):
Okay.
SPEAKER_03 (08:43):
Yeah.
And also don't overcomplicatethis small task, the simplest
possible solution, like uh Iwould say on the need, like you
know, drafted in uh these uhsticks and uh uh circles, that's
the way to go.
Okay.
It gives it it gives a greatunderstanding and foundation to
build on later on.
SPEAKER_01 (09:04):
So it's it's it's good, it's a good mental
exercise as well.
So um you sit down and say, So,what do I dread doing every day?
What is the least enjoyable partof my everyday work?
And then from there you canstart understanding, oh, maybe
this can be uh automated in thisway.
SPEAKER_03 (09:24):
Yeah, it's often something repetitive, uh, but it
it is different.
I cannot say like start withcontent generation, not
necessarily.
It's different for everyone.
Like for me, for example, it waswriting.
Uh for other people, it could beum email, communication, I don't
know, thinking what to buy fordinner.
(09:46):
As simple as that.
SPEAKER_01 (09:48):
Yeah, also or or handling paperwork as well, like
classify the paperwork, alsoespecially.
That's that's that takes a lotof time.
SPEAKER_03 (09:56):
Absolutely.
Everything that has that has todo with data, that's that's a
really good um area forautomating with it.
Yeah AI.
Yes, that's for sure.
SPEAKER_01 (10:06):
Makes sense and make our life easier.
So, what common AI trap you seebusinesses fall into, and what's
a smarter way to approach it?
SPEAKER_03 (10:20):
That's a really a great question.
I think from my practice, themost probably common and also I
would say um in like it's like areally foundational one, is that
like often um we start with thetool, not with the problem.
Yeah, we kind of in there is uhwe hear like there is AI, it can
(10:43):
solve everything, messagearound, and we jump straight in
and like without thinking thatlike what it actually can do for
me.
There's also a lot ofmisconception uh around AI, like
I think around any newtechnology, uh, whereas people
sometimes I often see thatpeople think, tend to think that
(11:08):
AI is some kind of um anout-of-box clone of yours.
It's like where you which youcan prompt like be me, or well,
that's very uh reallyoversimplification, but or like
I don't know, sell cakes or dotaxes, do taxes.
(11:29):
Uh and then and then there'sdisappointment, obviously,
because it doesn't work thisway.
And it's um it's it's it can uhuh set you back a lot with the
idea that oh, this is justanother hype, uh it's not gonna
work, I'm not gonna go, I'm notgonna go there.
I think uh the way to approachthis is to first of all keep
(11:50):
your mind open for uh anythingthat can happen because it's a
new technology, it's notperfect, it's not always work
the way you think it shouldwork.
There are certain um rules andpractices, best practices to
follow.
And uh always uh do it with thelike the simplest possible way
(12:12):
you you can think of.
So no over like really beopen-minded.
The first, I think, would be mybest recommend recommendation
because it takes time still.
It's not uh like you know, youpress a button and everything
and magic starts happening.
SPEAKER_01 (12:29):
AI is not magic, it's a technology.
SPEAKER_03 (12:31):
Yes, but it does feel a bit sometimes magical,
really, when you see the resultor how fast uh it can you can
get to a result, it's like wow.
SPEAKER_01 (12:41):
You mesmerize, yeah.
Yeah, I think that's why it's soenticing that um and also as
humans we always crave uh uhimprovement.
Yes, we only we have this that'sinnate in human humanity, right?
And AI uh uh it it's uh it canoffer this uh this constant
(13:01):
improvement that we crave.
SPEAKER_03 (13:04):
Uh absolutely, especially if you're a little
bit uh over perfectionist as Iam, then it's like guilty, yes.
It's just it's just great.
SPEAKER_01 (13:13):
So um you uh you blend tech strategy and
storytelling.
Why do you think AI adoption issuch about is much about mindset
as it is about tools?
SPEAKER_03 (13:30):
This a little inter uh intersects with the previous
question a little bit, or atleast with my answer.
It's because the mindset runsthe show.
We um like to do things the waywe learn to do, or sometimes we
got into the habit of doing, andwe also have some ideas and
understanding.
And it's often with thedisruptive tech like AI, it's
(13:53):
completely different what weused to do, or to kind of follow
the routine.
It's completely different, it'slike a new workflow.
So if you're not open to the newto kind of shift your mindset
from like fear of, oh my god,it's gonna replace me to or
actually maybe it might be justa very supportive tool and
(14:15):
useful, uh then there will be noadoption really.
You you will just uh probablystill will be will be left
behind uh in in many cases.
So the mindset is veryimportant.
And I see that like actually thethe early adopters, usually
people who just have their uhhave this curiosity all all the
(14:37):
time in there in there like as adriver for trying new things,
improving, evolving.
So yes, I think mindset is areally big part of it.
Because as a tool, there therewere many tools that came and go
and were not noticed, and I'msure that uh it it's not it's
not only uh it wasn't happeningonly with AI, it's like whatever
(14:59):
internet.
Same same story.
SPEAKER_01 (15:02):
It's the same story, but a different approach.
Exactly.
Yeah so many people worry thatautomation makes businesses less
personal.
How do you design AI systemsthat keep the human in the loop?
SPEAKER_03 (15:17):
That's a common concern, and there is a reason
for that.
And indeed, I think it can bevery generic, but it depends on
the execution.
Uh a good AI system does not uhremove the personal touch, it it
clears the space for more of it.
(15:40):
So um I can give you an example,like one of my clients, for
example, she uh automatedonboarding process with AI,
which there were previously wayshow to automate it with non-AI
tools, but uh it was lesspersonal.
It took time to um figure outthings to fine-tune a little
(16:04):
bit, like uh fit uh the rightinformation, but then like she's
she she opened the space forlike creative part where she
came up with a uh personalizedvideo message to the new
clients, and that likeimmediately increased the level
of uh first of all success ofconversion, and then um it it
(16:29):
had like a super positive impacton um building the connection
because the new clients theythey all like still a bit like
you you have to buildrelationship with them, and now
like when she cleared out thatthing with like you know, typing
at the end of the day, like themessages became pretty generic
because you you know you do itevery day, you want like a
(16:50):
template to you know substitutethe exactly.
And uh with the AI, she got ridof this entirely, and then she
could like focus on like uhcreating those uh messages for
like really super personalized.
SPEAKER_01 (17:06):
And that's beautiful, and and
personalization is key forclient relationships.
SPEAKER_03 (17:11):
Absolutely, this is what uh everyone is uh in
marketing shout about that likeit has to be personalized, you
have to talk to your clients,you have to know your clients.
When you are when you're asolopreneur or like solo
profession, you don't alwayshave time for that because you
have many other things to do.
SPEAKER_01 (17:28):
So you're trying to stay afloat also, yeah.
SPEAKER_03 (17:31):
Don't go crazy sometimes.
SPEAKER_01 (17:33):
Yeah, so an AI can really help with that, with a
human touch, but also using theAI.
SPEAKER_03 (17:40):
Exactly, because at this at the current stage, AI
isn't uh isn't here to replaceyou, it's to augment and to
support you, like um to likelike if you have uh you know
extra hands uh to some extent toto handle things.
SPEAKER_01 (17:55):
I love that.
Uh I will be useful for thekids.
Um in your workshops, whatsurprises people the most when
(18:17):
they start working with thegenerative AI?
SPEAKER_03 (18:22):
That it's not as complicated as they thought.
Usually people um expect to havethis like giant learning curve,
but then when they see how likea properly designed prompt and
uh pipeline of uh custom toolsgenerate within sometimes
seconds, but maybe mostlyminutes, the uh, for example,
(18:44):
con like weekly um worth uhcontent for drafts for for their
social media, for example.
They're like wow.
That's where their mind gettinguh gets really blown.
Like it's not as complicated.
It's just it it needs to beopen-minded and to willing and
(19:07):
to to wish to to willing to sortof do this step and
transformation and to learnsomething new, but there's still
some learning involved, ofcourse, because it's um it's
it's scary, even right?
You see, like when like I don'tknow, text creating or image
creating, it's like that's a bitscary.
SPEAKER_01 (19:27):
But I I love that part that uh once you remove the
mystery veil and you start usingthe AI, you realize that oh
okay, I can I it's it's I canlearn to master it.
It's it's not as uh far fromfrom my everyday life than I
thought.
SPEAKER_03 (19:46):
Yeah, and then they also learn how to obviously
transfer it from work to theirlike real life.
And that's also I always uh Iget some um uh feedbacks on
like, oh, I did that with theguy, it was amazing.
Which was not part of a work.
Like uh one uh client of mine,she experimented a little bit
(20:07):
and she decided to ask uh to useAI to do research on um like
prof orientation for her childwho's going to to school or to
high school uh soon.
And she was like super uhpleased with the result and like
it was absolutely it saved her alot of time and uh some money
(20:28):
for the you know professional.
But uh yeah, so it was a verycurious experience with a
positive outcome.
SPEAKER_01 (20:34):
Yeah, of course.
SPEAKER_03 (20:35):
There is something else uh that's uh that that's
like the second uh thing, butit's very important, is that uh
it can be very it can be likethat AI can be deeply personal
if you contextualize it right.
Uh what what what do I mean bythat?
Uh it's like in order to uh inorder to use to harness the real
(20:58):
power of AI, you need to give itas much context as you can.
And that's not always obviousbecause uh yeah, there are some
guidelines how to use it, but welike to you know skip the manual
part and just uh jump straightto it.
And then you ask a question andyou get a very generic uh
response.
And and then again,disappointment.
(21:19):
But if you know how to to startwith, if you just know that you
have to cons to give propercontext, that will already help
you enormously.
And that's always like ahamoment where like things change,
like where you see that likeafter several uh adjustments,
the uh the output sounds morelike you or looks more like you
(21:42):
want it to look.
SPEAKER_01 (21:43):
Okay.
SPEAKER_03 (21:44):
So that's the second.
SPEAKER_01 (21:45):
So it's is it's uh giving the right input in order
to receive the right output.
SPEAKER_03 (21:50):
Yes, because uh you have to do it sort of once, or
it's uh not as long as if you doeverything over and over again,
because you you kind of you doit only it's like imagine you I
have this um um example likewhen you clean your desk, like
in order to get in the rightmood for some people, it's
(22:13):
important to you know to havethe desk uh properly set up, but
then like you know, it gets uhsuper busy, super busy all the
time, and then here you go, youhave again this like pile of
stuff on your desk with theyeah, it's like you do it once,
or more or less once, and thenit's done.
It's uh every time you you getback to work, it's always like
(22:34):
this.
It's a clean desk.
Clean desk neat and arrangedlike the way you want it to be
arranged.
SPEAKER_01 (22:40):
That's beautiful.
I love uh that metaphor.
SPEAKER_03 (22:43):
Because it's ultimately it's about saving
your energy for for other thingsthat you enjoy doing.
SPEAKER_01 (22:49):
And and and and truly um use it as something to
to facilitate your life, to makeyour life easier, better, more
efficient.
SPEAKER_03 (22:57):
Sure, absolutely.
Obviously, I'm a littleoversimplifying here, but of
course, of course, uh a bit moreum there are some intricate
details, but uh in the nutshellit is a bit like that.
SPEAKER_01 (23:09):
So um what's your view on data minimalism?
Should we always collect more oris less sometimes smarter?
SPEAKER_03 (23:21):
I'm all for intentional data.
So more isn't always better, anduh oftentimes it actually it
complicates things enormouslybecause there's uh big big costs
on collecting those data,clearing them from noise, and um
yeah, you can just get drownedin it.
(23:43):
Uh so small data uh means lessnoise, uh less overwhelm, and
it's easier to align it uh withprivacy also uh values, and it
really help generally, yeah, itit it makes decision faster.
(24:05):
And I think ultimately it's notabout the right decision, it's
about being able to take fastdecision.
SPEAKER_01 (24:11):
Okay.
SPEAKER_03 (24:12):
Sometimes that that matters most because if you do
10 fast decisions over oneright, likely you're gonna win
with the fast approach than justlike obsessing over collecting
all the data, and then likethree years later.
SPEAKER_01 (24:27):
Yeah, perfect, perfect option.
SPEAKER_03 (24:29):
You're still there with this uh tons of petabytes
of data, but uh nothing changes.
SPEAKER_01 (24:33):
Okay.
SPEAKER_03 (24:34):
So I'm for like, but okay, I I say small data, it's
uh for purpose.
Yes, for purpose, and it's notthat small, really.
It's it still has to besignificant.
You can't ask one person, forexample, if you do research or
survey, you don't you can't askone purpose, or sorry, one uh
person, and okay, there it is.
It's intentional, it'spurposeful, done.
(24:55):
I'm gonna do this.
No, no, that's that doesn't workeither.
It's it still has to be uhsignificant, but um there's
indeed no need for petabytes ofdata, that that's for sure.
SPEAKER_01 (25:06):
Okay.
And you help people streamlineoperations and boost
productivity.
But what does productiveactually mean in a world flooded
with tools?
SPEAKER_03 (25:20):
I love this question.
It really depends.
For me, for example,productivity is not isn't
necessarily about doing more.
It's um I think it's a it's abit of a mixture, and the most
important part for me is aboutdoing better.
Uh, I already mentioned that I'ma little bit of a perfectionist,
(25:42):
just a bit.
I spent a lot of time previouslyto try to, you know, find a
compromise with this part uhwith this feature of mine.
And now with like my army ofmini uh AI tools and GPTs, I
don't have to compromiseanymore.
I just I just get to this samealmost perfect in my
understanding result within thesame uh within the same time and
(26:06):
uh without any overwhelm orstress, and it just works well
for me.
So it doesn't mean that so forme personally, it doesn't mean
that I work less.
Okay, but but can be really.
You can work less.
It's it's so it's a matter ofpriorities, but like within the
same amount of time, I producemuch better results, which I'm
more happy with, and you know,like I'm just finally enjoying
(26:30):
it.
So it's it's it's not all uhvery long checkups and checkoffs
on checkups.
Exactly, and uh there is ofcourse more because certain
things I wouldn't even even beable to do uh by myself
previously, like photogeneration, for example, like uh
(26:50):
even video generation, someproduction.
Yeah, for me it's mainly it sitswithin the area of uh image and
video uh handling, but um forexample uh for some of my
clients it's about marketingstrategies or uh getting ideas
for content production.
(27:10):
So not necessarily productionbut the ideas to this this uh
this this uh flow, theoutsource, not outsource, but uh
augment with AI help becausethere are many tools to follow
trends and you know you canbuild really beautiful uh
pipelines to make it smooth andfast.
(27:34):
So to to finish on the uh pointis uh I think that true
productivity is about creatingspace to actually think, uh to
rest, and to you know get newideas.
SPEAKER_01 (27:48):
Yeah, because you you need time to rest in order
to get uh inspiration.
SPEAKER_03 (27:53):
Absolutely, otherwise uh you just um you're
just gonna get overwhelmed, burnout.
It's it's uh unfortunately it'suh there's a reason why uh
burnout is a classified diseasethese days because it's
happening all over and um yeahwe we all I think once or twice
in life already went through ituh consciously or unconsciously.
(28:16):
So it's very important becauseif you don't have this space for
reflecting, resting, and uh justyou know, you don't create
value, you you you just don'thave energy to create value for
for what you want and for forfor what matters for you, yeah.
SPEAKER_01 (28:33):
And then everything falls apart.
SPEAKER_03 (28:36):
True.
SPEAKER_01 (28:38):
So let's uh flip it.
When is automation not theanswer when the process is
broken?
SPEAKER_03 (28:47):
You don't automate chaos, and um unfortunately I
seen it, I see it a lot.
Because often that that's that'sa bit of a both uh well, problem
for the entrepreneurs good forme because I often help to uh
solve those issues exactly.
Um small businesses and likesolo professionals and
(29:11):
solopreneurs, they didn't haveuh resources to think about
automation in general before theAI got really uh available for
everyone.
And then we have this issuewhere the processes are not yet
digitalized enough to be put onuh AI rails.
(29:31):
Let's put that, let's put itthis way.
So I see often that like I workwith some e-commerce and uh uh
businesses that already like uhdevelop businesses, uh they sell
something online or services,and it's it's uh the those are
successful businesses, andthey're like, okay, let's uh
this is also going back to theuh jumping on a tool, let's uh
use AI to supercharge ourbusiness.
(29:54):
And then they try, and then itturns out, oh, we have so many
things that we could have firstautomated with simpler tools,
and that's actually necessary todo before we can introduce AI,
because otherwise it's just notgonna work.
It's not gonna work.
You cannot uh build a chatbotand say sell balloons, it will
not uh end up well because theprocess is super complicated.
(30:18):
And if it's not properly kind ofdigitalized, yeah, I like this
word digitalized because thereare a lot of already tools on
the market that you can do itwith, it will be hard to
introduce AI in the process.
So if there's cows in the in theprocess, it's not gonna work
well, you're not gonna get anynice result.
(30:39):
You you it's like trash in,trash out.
SPEAKER_01 (30:52):
Okay, so now we move to the flash section.
You have to think fast, pickone.
You can just say whatever youpicked, or you can explain it
away if you will like.
Less data, more clarity, or moredata, better decisions.
(31:13):
Less data, more clarity.
AI that makes you faster, or AIthat helps you think better.
Think better always.
SPEAKER_03 (31:24):
Track everything, or only track what drives revenue.
Track what matters.
Because yes, revenue is a nicemetric, but sometimes revenue is
not the only metric, and thereare certain things that
influence uh revenue outside ofyour control.
So no matter how you how muchyou track it, you should you
(31:45):
shouldn't forget that it's umit's not the only one, and it
not necessarily matters.
Of course, it's good forbusiness, no one doubts that,
but it's not always the one thatyou be solely focused on.
SPEAKER_01 (31:58):
Okay.
Because it's it's all creativeit's also creating value, it's
further than just absolutely.
SPEAKER_03 (32:04):
Sometimes you know th times are not just uh good
for for business, happens often,unfortunately.
But if you uh just purely uh uhfocus on driving the revenue,
you may forget about like yourcustomers, yeah.
Value, like you what they value,what they want, and your
engagement with them.
And then you start losingcustomers even faster, and
(32:25):
that's no good for revenue atall.
Yeah, so I think you should uhalways track what what matters,
and it's not necessarilyrevenue.
Of course, it's part of usuallypart of the most important.
SPEAKER_01 (32:39):
It's important, but it's not the only thing.
Yes, okay.
No call, no codes, tools, orlearning to code what you really
need.
SPEAKER_03 (32:51):
No code to start.
We're at the we're in the erawhere you can totally no code to
start whatever you want, um, totry or you know, to see uh to
test your hypothesis of aproduct or a new idea.
And then it is absolutelynecessary to code if you want it
to be um robust and like workingwell in the longer, longer
(33:15):
perspective.
If you want to actually grow itinto a big product, for example,
it's important.
And there's also other thingslike there are areas that I
like, I don't know.
I don't think you probably wouldwant your bank application to be
wipe coded or no-coded.
SPEAKER_01 (33:29):
So yes, so they both serve a different purpose.
Absolutely.
No coding to sandbox, forexample, to to make uh to to
play with the design to makesure that this is what you want,
and then you move to coding.
SPEAKER_03 (33:44):
Yes, yes, uh, yes, absolutely.
SPEAKER_01 (33:46):
Okay, so fully autonomous or always human in
the loop.
I'd say human in the loop.
Share your prompts with the teamor keep your magic private.
SPEAKER_03 (34:01):
Absolutely share because it's uh first of all,
there's enough magic goingaround.
And then it's like when youshare, you create like uh
usually like your value isreturned into in in in in bigger
like uh knowledge.
Yeah, because uh one head isgood, but two is always better.
SPEAKER_01 (34:21):
That's true, that's true.
Delegate decision making to AIor just let it handle the grunt
work, grunt work, okay, yeah.
SPEAKER_03 (34:32):
The strategy and um or stays human.
SPEAKER_01 (34:37):
Build to a scale with AI or build to stay small
and sharp.
SPEAKER_03 (34:44):
I'd say build to stay fast and sharp, and then a
combination there.
Yeah, because small is nice, butnot un doesn't always serve
someone's ambition.
Yeah, but these days you canbuild fast and sharp, and then
that would help you scale smart,really, also without losing like
(35:06):
uh your mind.
SPEAKER_01 (35:07):
Okay, with without going and going uh crazy and and
working yourself to the ground.
Final flash question (35:13):
automate everything but control nothing,
or control everything butautomate nothing.
Neither.
SPEAKER_03 (35:23):
Ah I think smart automation with intentional
control.
That's very like I I said aboutum when you try to automate uh
chaos, it's like um yeah, no,smart automation with some
control.
SPEAKER_01 (35:42):
Yeah, okay.
So now you can take our futuristtrue palette and you can choose
um either true, uh meaning thatis the statement is gonna happen
soon or is happening right now,it's about to happen, or
futuristic futurist.
Not yet, maybe never, sci-fi,you went too far.
Okay, so first question (36:06):
most freelancers will use a personal
AI assistant as common hasemail.
True.
SPEAKER_03 (36:17):
Yeah, I think it's quite happening already.
We're at the stage where you youcan use the AI as your
assistant.
It depends, of course, what youmean by the assistant, but uh,
let's say 60 to 80 percent ofthe work, it still cannot
schedule your uh tickets toJapan, for example.
(36:37):
But we're getting there, yes.
SPEAKER_01 (36:39):
Hopefully, yeah.
I I hate looking online forflights.
Oof, it's something, and evenwith all the tools, there are
the there are the apps and allthat, it's always a mess.
Yes.
And because I like to check theconnection, the time, I like to
check the plane, uh to know ifhow big it is, because I'm I'm a
I'm um I'm not a very confidentflyer, so I'm gonna make sure
(37:01):
it's a big place.
So the bigger the pain, the lessthe movement.
Yes.
So yeah, all of that I will behappy to have an AI to help me.
SPEAKER_03 (37:09):
There is like uh agentic like tools already
available, and uh one of the Ithink for them, uh one of the
most I think typical examples,they try to showcase their like
uh capacities, capabilities,they plan a trip somewhere.
And uh yeah, it's a mess.
(37:32):
Let's say a couple months ago itwas a mess, but like recently it
starts looking much better.
Like there is um, I don't knowif we can say names.
Yeah, go ahead, go ahead.
Like, for example, there isChinese uh agent uh uh called
Menus.
He it's really close to if youprompt it with what you just
told me about like what you wantto check, I think you'll be
(37:55):
surprised with the outcome.
Okay, I yes, you could try it.
SPEAKER_01 (37:59):
I will try it because I I I like to have all
the information, but it takestime.
SPEAKER_03 (38:04):
It takes time.
Yes, that that's true.
And uh the the main problem withDI is that it tends to just mess
with the dates, it confuses thedates, it uh sometimes uh yeah,
when it comes to calculating, uhit's still pretty bad.
So it's better better to ask aquestion about calculation uh uh
in a way that it would write acode to solve the problem.
(38:26):
Then it it the result is isrobust.
But if you just say I don'tknow, two plus two, what it is
equal, of course it will notmake a mistake.
SPEAKER_01 (38:35):
But generally more complex kind of uh math is gonna
be a problem.
Okay.
That's that's good to knowbecause I'm very bad at math.
So I what I for math I use.
There's uh there's some umonline website that you can
really use for math, and youjust put the the numbers I can
help you, but it would be greatif uh AI can do can do that.
SPEAKER_03 (38:55):
But again, like uh uh uh right now and like things
change so fast that I'm not surewhat's gonna like maybe in a
month, uh there will be alreadylike a designated designated
tool for at least like bookingtickets, for example.
Like a flight, uh flightassistant.
Something like that,specifically designed for that.
Yeah, um, yeah, it changes veryfast.
SPEAKER_01 (39:15):
Yeah, I'm I'm I'm I'm um I'm very forward for
looking forward for that tool tobe developed.
Okay, so investors would ask foryour AI automation plan in your
pitch deck.
True.
SPEAKER_03 (39:34):
I'm not sure about the pitch deck, but definitely
uh they would be looking at thefounders who already it's like
there will be no point to go uhto uh to to go fundraising if
you haven't built already aprototype or something with AI.
So that's that's gonna be reallysuper ever like um you you
(39:59):
become you Because uh it's justlike available right now.
So if you come to an investorand like, you know, I just have
this idea and you didn't try ityourself with AI, that will be
like that will be probably nostraight away.
SPEAKER_01 (40:16):
Okay.
SPEAKER_03 (40:17):
Just because it's so available.
It is known that um in order tobe successful with fundraising,
you probably better to have uhon average already some
traction.
It used to be much morecomplicated because you probably
depend on what you are trying tolaunch, uh uh obviously, but it
was much more complicated.
You would need a co-founder withlike tech skills or higher team,
(40:41):
like do some initial investmentuh into it.
But now you don't have to do itall.
You kind of can uh no-code ofthis uh uh more uh modern
language, wipe code your productand see if we talk about tech
products, of course, uh and seeand get some initial feedback,
and then you go to theinvestors.
I I don't think like people,investors would buy anymore for
(41:04):
just a brilliant idea.
SPEAKER_04 (41:06):
Okay.
SPEAKER_03 (41:07):
If you like a well-rounded uh founder where
you like have, I don't know, atrack record of yeah, track
record, you already know how todo this small thing.
So uh I think it's it's true,it's it's now here already.
SPEAKER_01 (41:21):
Okay.
Startups will hire AIconsultants before they hire
human staff.
unknown (41:30):
True.
SPEAKER_03 (41:30):
Yeah, well, it depends.
So it if you mean AIconsultants, people like who
help uh adjust the workflow soit can be done with the help of
AI, then absolutely yes.
And even not startups, uh, thereare agencies already, and like
like even me, me, I do thisthing.
I uh re um re-engineer someprocesses for businesses so they
(41:51):
can use AI for that.
So yeah, it's I think true.
True, yeah.
I even have like um a friendwho's running um the consultant
AI consultancy also, and umthey're like about 50 people.
And if not for AI, he said thatthat like they would be 150
people.
They should be 100 people.
(42:13):
They they save that much onstuff.
SPEAKER_01 (42:15):
That's good, that's crazy.
But and great as as well, thatthey can they can run a leaner
business, be more efficient, andhave AI.
So you get um okay, you willoutsource your inbox entirely to
a chatbot that knows your tone.
(42:38):
True.
Yes, no one likes readingemails.
SPEAKER_03 (42:42):
I would say half true, okay, in between.
It's not that futuristic.
Okay.
The problem here is that likeinboxes are a bit like sacred,
and uh people and there there'sa lot of issues, but you can for
sure outsource certain uhprocesses, like for example.
Um we I built like I helped uhto build uh the other day um
(43:06):
like um negotiator, like a botthat negotiates.
So there's an incoming uh theninquiry for quotes and uh people
ask for discount, and then botis prompted with certain uh uh
knowledge about what thediscount could be, the terms,
etc.
And it it is allowed this bot toanswer only these emails and
(43:29):
negotiate with the client.
SPEAKER_01 (43:31):
Wow, that's that saves lots of time, really.
Because you he already has theparameters, so he knows how how
he can provide the discount inwhich uh uh scenarios, and then
it just uh negotiates.
Oh, that's great, and that'ssafe work as well, because it
then when the person, when theclient actually comes in, then a
person starts working with them.
(43:53):
But the the the vetting part,the filter is already happened
with the AI before.
SPEAKER_03 (43:57):
Yes, exactly.
Okay, that's great.
So it's uh it's kind ofhappening, but I won't go as far
as the entire inbox because youstill want to be uh in in touch
with the reality.
SPEAKER_01 (44:10):
You still want to talk to people.
Legal disclaimers will berequired to prompt used in
commercial LLM's outputs.
SPEAKER_03 (44:20):
Uh yes, I think this this uh this is true, and this
is getting uh just uh faster andfaster and more uh all over.
SPEAKER_01 (44:28):
Yeah.
SPEAKER_03 (44:28):
I think it's also be transparent.
SPEAKER_01 (44:30):
You're using ice okay, you can say it.
SPEAKER_03 (44:32):
Yeah, I think it's uh it's very important also, and
yeah.
SPEAKER_01 (44:37):
Okay.
You'll get fined for overusingAI without optimizing human
collaboration.
True.
SPEAKER_03 (44:46):
I'm very futuristic.
But that's a good idea.
That's definitely a good idea,especially considering that AI
is still very expensive to run.
Right?
Not only money-wise and datafactors, but also it's not very
sustainable.
Okay, still.
(45:07):
There's lots of water uh wasteuh in the process.
So I think we all should be abit smart about it, or more like
um careful and mindful, becauseum it's uh it's taking
resources.
SPEAKER_01 (45:24):
Okay, okay.
So we need to be on we need touh think about ways of making it
uh uh more efficient, uh umsustainable.
SPEAKER_03 (45:35):
Absolutely, yes.
It's not for I guess for like uhusers to think about it, but
it's like with uh I don't know,plastic or uh you know all these
initiatives about uh recycling.
SPEAKER_01 (45:46):
Yeah, it's not quite the same, but it's also it it
touches on this automationfatigue will become a
diagnosable workplace condition.
I don't know what that means.
So um when you have to like uhyou you go to your workplace and
(46:11):
everything is automated, and theonly thing that you do is to
survey that the work is if itflows.
So you don't you don't really doanything but to supervise if the
machine doesn't go crazy, forexample.
That was the idea behind thisquestion.
Yes, that's a good one.
So you feel like a like asoulless kind of uh task.
SPEAKER_03 (46:30):
I think it's it's not impossible, but it's a
little futuristic at this pointbecause we're nowhere near that
point with AI.
Okay.
I'm sure there is such a thingwhen it comes to some
production, whereas this heavymachinery.
SPEAKER_01 (46:44):
Yeah, that's what I thought is that you know that
people that work in like linemanufacturing, things like that,
that they do the same thing overand over and over, and that of
course provides fatigue.
SPEAKER_03 (46:54):
Absolutely.
So I think there is uh uh umreally solid ground for this to
happen with AI when we get tothe point, if we get to the
point where it's all autonomous,but not not right now.
SPEAKER_01 (47:08):
Not yet.
SMEs will be required toregister the ethical impact of
their automations.
SPEAKER_03 (47:18):
I think it's futuristic, but it's uh it's
gonna happen.
It's uh it's it's important alsofor for um everything to be
ethical, transparent, and withgood purpose and intention.
SPEAKER_01 (47:32):
There will be a marketplace for selling your
best AI prompt chains.
SPEAKER_03 (47:38):
Yes.
I think some people already tryto do that, right?
SPEAKER_01 (47:42):
I I feel that there's a lot of little online
webinars and things like that ofpeople.
Yeah, yeah, exactly.
SPEAKER_03 (47:48):
It's not quite a marketplace yet, but it's
definitely happening.
And maybe, maybe there isalready.
I was I'm just not aware, to behonest.
SPEAKER_01 (47:57):
Uh, final question.
Clients will ask for you todisclose if your proposal was
drafted by a human or AI.
SPEAKER_03 (48:06):
And they should.
Yes.
SPEAKER_01 (48:08):
That's important.
SPEAKER_03 (48:09):
I uh yeah, I always uh uh now these days start to
ask, is that uh is that AI?
You can see these days, evenlike um on Instagram or like
social media, some ads, it'sclearly AI generated.
Yeah, yeah, like human not real,for example.
Yeah.
I don't have anything againstit, it's just um it's just how
(48:33):
it it how you ubiquitous itbecomes, and I think it's
important to uh uh disclose thatuh you generated something with
AI, especially if it comes todocuments like Yeah.
SPEAKER_01 (48:45):
I I love using AI uh for editing my drafting because
oftentimes I I I I draft like afull paragraph of a full text,
and then I want to to make itmore semantic, to make more
sense, to to have like a betterflow, and AI is is great for
that.
It really helps you to put yourthoughts into a structured way.
SPEAKER_03 (49:06):
Absolutely.
It provides the great frameworkor structure to to to the chaos
in in one's head.
That's that's for sure.
SPEAKER_01 (49:14):
Yeah.
So um now the the question toclose the episode.
What's one mistake you wishevery founder will stop making
when using AI?
And what belief should theyreplace it, and what belief
should they replace it withinstead?
SPEAKER_03 (49:36):
At this stage, it it is as simple as AI doesn't
create or AI doesn't think, butit's uh you do.
That's that's that's one thingthat I keep repeating over and
over again that AI is more likea translator or transformer.
(49:57):
It doesn't think, it doesn'tcreate, it doesn't generate
anything new.
We we can argue a little bitabout the generation bit because
it seems like it's generating,but in reality it just has so
much they they they call itlarge language models for a
reason.
They sit on a large uh data,like really vast amount of data,
(50:17):
which allows them to recombineit or translate it into a
different form, but ultimatelythey don't come up with it.
So it's it's it's the creatorwho shapes it, it's you who do
the creating part.
You just you can think of uh ofit well yeah, in general it's a
(50:39):
very big topic, right?
So uh maybe in this particularcase I I I mean more tools like
Chat GPT and uh or Clot orother.
There are many others.
It's like it's like a pen, youknow, it's useless until it has
a hand that directs what itwrites, right?
So that's a little bit likethat.
SPEAKER_01 (50:59):
Yeah, that's a that's a very good way of seeing
it.
So it's a tool, and then you'rethe one who have to shape how it
goes.
Thank you so much.
Um, thank you, Vlada, for forsharing with us, for sitting
here and and talking about AIautomation and all the
possibilities that we have atour fingertips right now and
also the the future potentialthat will come.
(51:22):
Um thank you for reminding usthat AI isn't just for tech
giants or research labs.
It is a practical tool thatsmall businesses, small teams
and entrepreneurs can use rightnow to simplify, to scale, and
to focus on what really matters.
Because when AI is applied withpurpose, it doesn't replace your
(51:43):
vision, it amplifies it.
And that's where the realtransformation begins.
SPEAKER_03 (51:48):
Thank you very much, and really well said with was
the last uh uh um thought ofyours.
It's it's indeed like that.
It's just in the right uh handswith the right ideas, it it
helps a lot.
Thank you very much for havingit was having me here.
It was a lot of fun.
SPEAKER_00 (52:05):
Thank you.
Thank you for listening toIntangibilia, the podcast of
Intangible Law.
Plain talk about intellectualproperty.
Did you like what we talkedtoday?
Please share with your network.
Do you want to learn more aboutintellectual property?
Subscribe now on your favoritepodcast player.
Follow us on Instagram,Facebook, LinkedIn, and Twitter.
(52:26):
Visit our websitewww.intangibilia.com.
Copyright Leticia Caminero 2020.
All rights reserved.
This podcast is provided forinformation purposes only.
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