Episode Transcript
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Speaker 1 (00:01):
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Speaker 1 (00:29):
It's time now for the Patti Conklin Show, exclusively on
healthylife dot Net Radio.
Speaker 3 (00:42):
Well, hello everyone, it's Franessa k Hall, MD, as Patty
likes to say, and we've had a crazy week. My
original guest, Delray Messer, had to.
Speaker 4 (00:56):
Cancel for work issues.
Speaker 3 (00:58):
Please stay tuned for program because we will be talking
about the impact of social media and smartphones on the
developing brains of children, adolescents as well as adults. I
don't know when that is, We're going to reschedule it,
and Patty is just covered up with stuff related to
building a house. But I am so lucky that my
(01:24):
new friend Robin Whitley from a de Mystify AI agreed
to be my guest today on such short notice.
Speaker 4 (01:35):
You have saved me.
Speaker 3 (01:36):
I can't tell you how much I appreciate it. Robin,
thank you so much.
Speaker 5 (01:42):
You are more than welcome. Panessa.
Speaker 3 (01:46):
So we are going to talk about AI. I know
from personally, I've kind of just dabbled a little bit.
We were talking about this earlier and just using it
to edit some of the things that I've written and
acome sound really good. But you know, it's really been
sort of a you know, I don't really know what
(02:06):
I'm doing kind of a deal. And so just to begin,
you know, you have a very background. How did you
get from where you started in your career to doing
AI consulting?
Speaker 6 (02:22):
I mean, yeah, it's typical path it's been it's been
a journey. It has absolutely been a journey. So I
started my journey in technology. So I was a software
developer in my earlier career. I went in from developing
(02:45):
software for a corporate environment.
Speaker 5 (02:47):
Too.
Speaker 6 (02:48):
Had an opportunity when my daughters were small, to go
to a smaller software development company, and I chose to
do that. Gave me some flexibility, and I was with
that company for about a year and a half and
the economy turned down and so I was given the
opportunity to either get a month of severance and then
(03:12):
I would go back into a corporate job, or I
could take the clients that I had with that company
and move into and take them with me to my
own company. And so I chose the latter, and I
was able to do that for about ten years while
my daughters grew up.
Speaker 5 (03:33):
And I think that really taught.
Speaker 6 (03:35):
Me, you know, a career mindset that I love working
with small businesses. I love solving their problems and helping
them grow. And so that's where all of that started.
Speaker 3 (03:52):
About that.
Speaker 6 (03:53):
From that point, then I went back into CORP for
America and into software development, and I did that for
a few more years, and then I went into consulting,
and from consulting.
Speaker 5 (04:13):
Led me to.
Speaker 6 (04:16):
Do that for about ten years. And then I had
an opportunity to move to IBM, and I was in
sales for them for resiliency and consulting or resiliency and security,
and did that for a few years and lo and
behold in October, like much of the workforce, I was
(04:40):
part of a large layoff, and I'm like, oh my goodness, yeah.
Speaker 5 (04:46):
What what do I do now?
Speaker 6 (04:48):
So I still I looked looked for another job, but
in the meantime, I started taking an AI consulting course
certification course, and what I found was, Okay, you know,
I've been doing this for all my life, and let
(05:10):
me just take instead of focusing in on software and technology,
what can AI do for me? And it just seems that, okay,
I can, I can do this. But what I kept
seeing across industries and people that people were just buried
(05:31):
with work admin work, not things that they really wanted
to do, but buried in emails, buried in report. Oh
I've got to get my boss this report on X
Y and Z or wow, you know, and the processes.
Speaker 5 (05:46):
In my company aren't good. It's just slowing down.
Speaker 6 (05:49):
So I saw people doing a lot of work, but
not necessarily the work that mattered to them or matter
to the company's bottom line. And that is what kind
of inspired me to, you know, found to mystifi AI.
I see, you know, as you were talking, thinking about
(06:13):
the things that I do with my day to day
job with life insurance, and you know, and just some.
Speaker 4 (06:19):
Of it is just.
Speaker 3 (06:22):
You just grind it out because you just have to
do it. There's no you know, there's no giving around it.
But you don't enjoy it.
Speaker 4 (06:30):
It doesn't really.
Speaker 3 (06:31):
Doesn't put business on the books, but you just kind
of claw your way through it.
Speaker 4 (06:37):
And you know, I'm intrigued about.
Speaker 3 (06:42):
How how AI can can help not just a company,
but when we were talking earlier, you were talking about
how it can save an individual, you know, at home
and in their personal life a day a week. I
mean to get back a day a week and offload
(07:05):
some drudgery. I mean sound yes, sounds.
Speaker 4 (07:08):
Too good to be true, autous, I.
Speaker 5 (07:12):
Know, I know it sure does.
Speaker 6 (07:14):
But I tell you I've seen it in action and
it is. It is the way of the future. It's
the way to save time. And so you know what
I've come up with in demystify AI is I created
something that I called the clear AI Methods. And most
people don't need more tools.
Speaker 5 (07:36):
They just need a pass.
Speaker 6 (07:38):
They just need to understand, Hey, what can I do
with this technology? How can I incorporate it into not
only my business, but how can I incorporate it into
my personal life? How can I use it to get
that time? And what would I do with that time
(08:00):
if I.
Speaker 3 (08:00):
Got it back?
Speaker 6 (08:02):
So yeah, so the biggest thing with that, so with
the clear AI method. Let's start with the c you know,
clarify your time drain, So what costs you the most
time of day or the most time a week, and
spend time on that.
Speaker 5 (08:21):
So look look to that one.
Speaker 6 (08:23):
Past, that one process, that one workflow, whatever you call it.
Where are you spending hours that you could streamline? So
from that and Ellen clear is like, okay, let's look
at how we can leverage this low hanging fruit. So
(08:43):
start with one high impact area in your life in
your business and look at that and look and see
how technology can help you streamline that and give you
back that time. So don't try and automate your whole
business or your whole life, you know, do it with
(09:07):
one small, impactful.
Speaker 5 (09:09):
Pilot project and then if that.
Speaker 6 (09:12):
Yields results, then go to other areas in your life
or in your.
Speaker 5 (09:17):
Business that.
Speaker 6 (09:20):
You know are causing you all that time up and
then with that E like experiment, keep doing it but
doing it a fleece. So use AI, you know, and
with AI, the way that you communicate with AI is
you give it a prompt, which means that you're just
prompting it for what you.
Speaker 5 (09:41):
Want it to give you back.
Speaker 6 (09:44):
So you start with with a prompt, ask it for something,
and then you refine it and you get it better,
and you know, you do that process so you stay
in charge. You know, you're telling AI what you wanted
to do for you and then finally, you know, and
(10:04):
then apply it to your personal workflow.
Speaker 5 (10:07):
Do you use like Gmail? Do you use like outlook?
Speaker 6 (10:10):
What kind of you know, video calling to you use?
Speaker 5 (10:16):
Is it Zoom? Is it Google me? Whatever? It is?
Speaker 6 (10:20):
Just kind of you know, and where do you you know,
use your social media if you're wanting to outreach to people,
you know, where where do you post.
Speaker 5 (10:30):
Information to or ask questions or whatever?
Speaker 6 (10:34):
And then what you do after all of that is, hey,
reclean your time. So what if you saved enough time
to take a walk, you know, read something that you
wanted to or you know, read a book, whatever it
is that you want to do.
Speaker 5 (10:51):
And that's the real thing of ale.
Speaker 3 (10:54):
Uh you know Charlie, while yeah, you know you say that,
And what dawned on me is, you know, even just
for myself, but also for you know, when I'm making
recommendations to my clients, you know, we all say, oh,
it's too busy to get.
Speaker 4 (11:12):
To the gym. You know, some guilty of that.
Speaker 3 (11:17):
You know, like today I made myself do half an
hour of tai chi. Now, the rest of the week,
it just never made it. There was just so many things.
And you know, with applying this to my day, I mean,
even just getting a half an hour back, that's a
half an hour that I can do something that's beneficial
(11:39):
for my health and wellness, you know, I mean, forget
that work, just just in your personal life. I mean
reclaiming that time.
Speaker 2 (11:47):
Now.
Speaker 3 (11:47):
The key, of course, is reclaiming the time and not
you know, doing spider Solitaire or watching that videos for
thirty minutes exactly, which you know, you know it has value,
have to say, you know, I think it's calming to
watch the cat videos and I get to laugh, which
releases some endorphins, but certainly not not the most productive
(12:10):
weight to use time, exactly.
Speaker 6 (12:16):
And I'll tell you and I'll just interject you know
something with that, so you know, and and let's tell
the audience. I woke up to an email from you about, Hey,
Mike's the person that I had booked for the show,
you know, had to cancel. And then my my partners
(12:38):
and I always work with you know, she's in the
process of building a house and moving in, and it's
just like, oh my gosh, okay, well before AI and
before I utilize that.
Speaker 5 (12:55):
At that point, if somebody called, I would have said no.
Speaker 6 (13:00):
But because AI, because of being able to do that,
it's like, no, I can do this.
Speaker 5 (13:07):
Yeah. Absolutely. So I saw that message. From eight to
eight thirty.
Speaker 6 (13:12):
I did a little bit of research and asked AI
to help me with an outline for what we could
talk about.
Speaker 5 (13:20):
And then I believe I got.
Speaker 6 (13:21):
That to you a little bit before nine. And after that,
at nine thirty, I went out for an hour walk
and I loved it.
Speaker 3 (13:30):
Well, you know, you sent me this, you know, a
lovely outline that gives me, you know, sort of an
idea of where to go. And I know people who
listen sometimes we're in balog a little bit, but you know,
this is very helpful, you know, to for me to
kind of see where you're coming from. So we're on
the same page.
Speaker 4 (13:50):
And you know, it's just.
Speaker 3 (13:55):
You know, now that I know a little bit of
about AI, it's just.
Speaker 4 (13:59):
Like, wow, this is so helpful, and.
Speaker 3 (14:05):
You know, and it's such a it's so different from
you know, the people who are more like, oh the
sky is falling, and you know AI is going to
take over, and you know AI is going to take jobs,
and you know, what are we going to do?
Speaker 4 (14:24):
And you know there's this, you.
Speaker 3 (14:26):
Know again, this sort of fear around change, you know,
which is pretty common, and fear around something that's new.
And you know, I'm looking at it more like it's
a tool. You know, it's a tool that we can
(14:47):
use to help us to do the things we need
to do more efficiently.
Speaker 4 (14:52):
I mean, I think.
Speaker 3 (14:54):
Certainly like for life insurance, you know, we have to
go through googles of medical records, you know, and so
often you know that you get three hundred pages of
records and there's only really thirty pages in there that
has any information that's useful. Yeah, I'm thinking, my god,
(15:16):
AI would save me so much time going through you know,
pages and pages of of non information, but you have
to look at each page to know that there's no
information there for you. So I see, this application for
the life insurance industry would be huge, you know. So
(15:40):
it's not it would allow me and the underwriters to
be so much more efficient when we're reading records. I mean,
there are times we get one thousand and twelve hundred
pages of medical records that we have to go through.
You know, that's the that's the grudge, the grinding it
(16:03):
out work that I was talking about earlier. And I
can clearly see AI being able to pull out the
pertinent information and organize.
Speaker 4 (16:17):
It, you know, that's the other thing.
Speaker 5 (16:20):
But it sure can.
Speaker 6 (16:23):
And you know, to your your point at the top
of what you were just saying that, Yeah, when people
hear AI, they think robots, and they think job loss,
and really, you know, AI is.
Speaker 5 (16:38):
Just the pattern recognition at scale.
Speaker 6 (16:41):
So what it kind of helps us do, just like
what you were saying, It can help us research information,
It can help us summarize information. It can help us
predict and generate based upon.
Speaker 4 (16:56):
What we tell it.
Speaker 6 (16:58):
So the better that you can tell you know, CHAT,
GPT or claude or whatever you know model that you're using,
the better that you can tell it what you want,
that you give it context, that you give it specificity,
and train it to you know, your mode of thinking,
(17:20):
your mode of working with better information that.
Speaker 5 (17:23):
It's going to give you back. So you know, if.
Speaker 6 (17:27):
You've ever used autocorrect or like Netflix recommendations, you've already
used now it's all now, it's just smarter and more
accessible to the masses. And the one thing that I
can help with this kind of bringing clarity to that overwhelmed.
Speaker 5 (17:48):
So that's uh myself and being able to do.
Speaker 6 (17:53):
But you know example examples where you know you and
I have talked about before.
Speaker 5 (17:59):
It's like as a.
Speaker 6 (18:00):
Nonprofit that we can use chet GPT to grant grant
proposals for in the other case, to look at you know,
people that are that are wanting funding and look at
their their proposals or their information and see, you know,
(18:21):
you know which ones to select right, and that frees
up you know, hours to meet with dunners, to meet
with businesses that we're going to help.
Speaker 4 (18:32):
Oh yeah, I mean.
Speaker 3 (18:35):
The nonprofit I was on, I was on the grant
committee and you know, we're going through thirty thirty things
and you know, five of them don't even qualify. But
you're reading through all this stuff and then you get
to this point like, oh that they don't meet our criteria.
I mean, how wonderful would it be to have AI
be able to do the first path and be able
(18:57):
to say, well, for these reasons, this doesn't qualify for
your mission. You know, boom, that's a few hours of
work saved right there. And the other thing you said
earlier when we were talking was it gives a level
of consistency to what you're doing as well, because it
(19:19):
will do what you tell it to do every time.
And so I know for myself that And this happens
with insurance medicine work. I get a case, we never
have all of the information, and you look at it
and you and then you use your medical knowledge and
the manual and you come up with and.
Speaker 4 (19:41):
You go, you know, this this case, I think we're
going to have to.
Speaker 3 (19:45):
Rate it a little bit, you know, and you go
out and then a week later the field says, no,
we you know, we got a standard offer from somebody else.
We want you to take another look at it. And
you take a look at it, and you go, what
was I thinking?
Speaker 4 (20:00):
This is sure? This is standard?
Speaker 3 (20:02):
Over?
Speaker 5 (20:04):
Like?
Speaker 3 (20:04):
Where was I last week? You know when I looked
at this and rated it. You know, you just it
just happened. I mean every medical director I know has
had that happen. And you know it continues to happen,
and AI takes some of that away.
Speaker 5 (20:22):
Wouldn't you say, yeah, I absolutely would say that absolutely.
Speaker 6 (20:28):
So it just you know, with that it it can
digest information. It frets a quick rate, right, I mean
it can. Yeah, he sent three hundred pages down to
a summary for you with the with all of the
key points. Or you know, now you've got AI note
takers out there where you're in a meeting.
Speaker 5 (20:50):
Now you don't have to take notes anymore. It's taking
for you.
Speaker 6 (20:53):
And then it summarizes fifty points you know.
Speaker 3 (20:57):
Yeah, yes, if we had things.
Speaker 5 (21:00):
Out here right now, okay.
Speaker 3 (21:04):
So yeah, yeah, I mean it's you know, when you
stop and think about it, it almost hurts my brain
to think about the different ways in which it can
be used to.
Speaker 4 (21:20):
Make you more efficient, to get.
Speaker 3 (21:22):
Rid of some of the drudgery things, and then you
can spend more time doing you know, the fun things
or the things you know that are profitable for your business, or.
Speaker 4 (21:32):
You know things that you that actually you know, put
business on the books.
Speaker 3 (21:39):
So folks tell you that twenty minutes just flies by.
We're going to have to go to break. Hang on,
we're going to get a little deeper into AI, and
so don't go away.
Speaker 4 (21:52):
We'll be back after the break.
Speaker 1 (22:11):
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Speaker 8 (23:27):
Where positive people and radio unite healthylife dot net.
Speaker 4 (23:40):
Okay, we are back.
Speaker 3 (23:42):
It's Panessa ky Hall m D with my guest Robin
Whitley of Demystify AI and I am really excited that
she's with us Robin to tell people how to get
you and I think with just what we've covered in
the first twenty minutes, there are people out there that
(24:05):
are their mind has just been blown and they want
to know more and engage you to help them get
that day back per week, make them more efficient with
everything they're doing. How can people reach you?
Speaker 6 (24:22):
They They can reach me at www dot t mystify
which is d E DAT M Y s T I
f y AI dot.
Speaker 3 (24:36):
Com excellent, So folks dash mystify ai dot com. I
will post that on my website MV Wellness Soul Illusions
under my podcast page as well. But I mean my
(24:59):
brain is just spinning and spinning, and we'd have to
break up and you say, hey, you know, my wife
and I have food sensitivities that are different and we
could plug that into AI could help us make real plans,
or we can you know, stick to the eliminating those foods.
Speaker 4 (25:18):
I mean, you know, just is mind.
Speaker 3 (25:21):
Boggling the different applications, you know, just in these few
minutes just thinking about it. But so let's let's let's go,
and let's talk about different areas that people may not
consider utilizing AI specifically. I think you said something about
(25:42):
moms U see moms and managing schedules.
Speaker 6 (25:46):
Yeah, absolutely, So you know with AI, you know it's
it can help you from.
Speaker 5 (25:53):
Your business to your personal.
Speaker 6 (25:55):
Life, to your health and wellness. And you know, AI
really it helps us like automate, It helps us plan,
It helps us research, it helps us communicate better. And
if you apply AI in the right way, in the
right areas, you know it can do things for.
Speaker 5 (26:17):
You better, faster and cheaper.
Speaker 6 (26:20):
And remember the old mantra, you know it was in
softer well software developments for so long you'd always tell clients, well,
you got to pick one, you have it cheaper and
better you can't, right, can't have it cheaper and faster.
But with AI that everything, because you will, it will
(26:44):
be better, faster and cheaper.
Speaker 3 (26:47):
Wow, with no trifecta, yeah I shall. I mean I
have friends that have three small children, nine year olds
in a less year old, and my head spins with
all of the different activities that they have to do
each day. Swimming, tennis, piano, you know, school, homework projects,
(27:13):
you know, the list goes on and on.
Speaker 4 (27:15):
I mean.
Speaker 3 (27:18):
Makes my head spin when I hear about their schedule.
But it sounds like this. Applying AI to this can
just make it so much more efficient. And know, you
know what you need to do and when and when
you need to leave to go.
Speaker 4 (27:37):
Do whatever it is that you're needing to do.
Speaker 6 (27:40):
Yeah, you can certainly certainly do all of that where
you know, you build something that will hey, you know,
reminds you of your schedule, so anything you know that
he's got it can look at your schedule right, and
you've got things in there.
Speaker 5 (27:57):
Hey, I've got.
Speaker 6 (27:58):
To say, Oliver to swim practice at four o'clock. You know,
I need to leave fifteen minutes earlier, you know, and
it can and you know, do that prompts you where
you need to be do anything you know for you
that that you would need to remember to get there,
(28:20):
so it can do can do those things.
Speaker 5 (28:24):
And I've got my daughter.
Speaker 6 (28:26):
Has two young boys and they're both you know, one
into swimming, golf and soccer, the other one sent to soccer.
Speaker 5 (28:36):
And tai chi and so and then they've got.
Speaker 6 (28:40):
Their regular score, so she's got to got to get
them to everything.
Speaker 5 (28:47):
So yeah, very helpful.
Speaker 3 (28:50):
So are you saying that you can get AI to
look at your calendar and help send prompts to you
to do whatever it is you're needing to do.
Speaker 6 (29:07):
Yeah, absolutely well, you know, with with with this, you know,
if you if you've got a meeting scheduled on your
you know, calendar, then you know with with mine, you know,
it'll send me the message hey, you know you've got
hey in thirty minutes, this is going to be happening,
or you've got a call.
Speaker 5 (29:27):
With so and so. It will remind you.
Speaker 6 (29:30):
And you can certainly you know, set things up that
way to be the technology that you're already using for
your emails and you're scheduling to you know, make sure
that it prompts you and lets you know.
Speaker 3 (29:48):
Wow, now, and what's to just say in the family mode?
Speaker 5 (29:55):
You know.
Speaker 3 (29:57):
You in your outline you sent to me to help.
Speaker 4 (30:01):
Give me ideas. This says budgeting help and trip planning.
Speaker 9 (30:09):
I mean yeah, I mean yeah, trip planning vacation is great,
but sometimes planning is just a chore, like finding the
best rate for the and the most efficient flights for instance.
Speaker 4 (30:29):
I mean it's torture.
Speaker 5 (30:31):
Yep, yep.
Speaker 6 (30:32):
And they're there's software out there right now that can
be like your travel agency.
Speaker 5 (30:40):
You know, you can you.
Speaker 6 (30:41):
Can put in the parameters where you want to go,
when you want to be there. You know, what's the
best hotel to stay at? What are the sight seeing
things that I need to do while I'm there?
Speaker 5 (30:55):
Oh? Hey, how about restaurants?
Speaker 6 (30:57):
Well, now, I don't want to roll, my goodness, I
don't want to look up on trip advisor and all
of that.
Speaker 5 (31:02):
That's all.
Speaker 4 (31:03):
I hate Trip Advisor. It's just miserable it is.
Speaker 6 (31:08):
It gives you ratings that based upon the people that
are buying ads, right, But when I kind of customize
and say I don't want to go, you know, don't
rate it with trip I want to go and have
the real, authentic experience since I'm going to be embarrassed,
don't you know.
Speaker 3 (31:27):
Oh my goodness, gracious, you're blowing my mind literally because
we just went on vacation and you know, finding the
hotel and finding the flights and figuring out what things
to go to and when to go to them, and
which things do you have to book in advance because
(31:47):
now you know in case you don't know it, Folks
at many of the National parks preservation to go and
you know you need to do that in advance because
some of them. I mean, we went to Colorado last
year and got all the way up to ST's Park
at nine oh five and they said, no, you need
(32:08):
an appointment between nine and two, so we had to
turn around and go away. So that eight minutes has
flown by. We are approaching another break, Folks, to stick around.
There are more mind blowing things to come.
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Speaker 3 (34:00):
Hey, we are back with Robin Whitley of Demystify AI.
I hope you folks out there are having your minds
blown at how you can use AI and just make
your life easier.
Speaker 4 (34:17):
I mean, I just went on vacation.
Speaker 3 (34:19):
It would have been so wonderful to know how to
do this to help planning it. Planning vague my trip.
So let's let's talk about how to use AI without
getting overwhelmed because I mean, my head's spending. I imagine
other people said, just spending too.
Speaker 4 (34:40):
How do we do this?
Speaker 3 (34:42):
Yeah?
Speaker 5 (34:43):
I think you know what. I what I said at
the top.
Speaker 6 (34:46):
With the clear AI method, you know, start with you
know one task, you know where you're spending the most
time or what you want to accomplish. But pick one
thing that you want to improve, like maybe writing emails,
maybe planning meals, Maybe planning meals, planning planning meals.
Speaker 3 (35:08):
That's that's one that always comes up. I mean, I
don't do any cooking or shopping, but I have been
asked to help with planning meals and I'm like, I
don't know, I don't know. And for us it's complicated
by having some food sensitivities and a bunch of foods
that we need to avoid some overlap but some differences.
(35:33):
So let's pick meal planning.
Speaker 6 (35:37):
Yeah, absolutely, you can't do that. They're say, there is
a website called meal I am me so I was
thinking real time, but it's me line. But that that's
it for you know, my fitness Pal.
Speaker 5 (35:59):
You can do that. But you can do that.
Speaker 6 (36:02):
In one of the the GPTs, like you know, Chat
GPC or you know you've got Gemini, which is Google's
large language model pod. You've got several places that you
can go or co pilot. I mean, I you know,
tend to go to chat GPT, but you could go
(36:23):
in there and like you said, you got both of
you have food allergies, will say, hey, these are the
things that I can't eat, that we can't eat, that
can't be included. But I want something that doesn't focus
in on a large lot of carbs, and boy, I like,
you know, I like chicken, and I like dark meat
(36:45):
versus white meat chicken, And hey, I think you know,
I want something that's more in the Mediterranean diet type
of thing. And you can load all of your parameters
in there and tell it what you want. Hey, I
want you know, three different options of this meal and
(37:06):
give me recipes and you know with all these different.
Speaker 3 (37:13):
Okay, so that just sounds too simple. So I basically
go to chatt and say I want dinner meal. I'm
just going to say dinner meal plans, and these are
the foods we need to avoid and we want it
to be more in the Mediterranean diet from a health standpoint,
(37:40):
and we need different meals for five five dinners. Right,
and then it'll just it'll with the recipes and and
the grocery list.
Speaker 5 (37:54):
Yeah yeah, and then it'll recip.
Speaker 6 (37:58):
I want to alor grocery lids. I want to say, hey,
I only want to use.
Speaker 5 (38:07):
Five ingredients or eight ingredients or whatever it is.
Speaker 6 (38:12):
I want it low on meal prep time.
Speaker 5 (38:16):
Wow, you can.
Speaker 6 (38:18):
You can just add the different parameters and it will it.
Speaker 5 (38:22):
Will do that for you. Wow.
Speaker 6 (38:26):
Maybe the first time won't be perfect, but you see
it set out something. It's like, oh gosh, no, I
don't I don't like that or uh no, and then
you you revise that prompt you know called chain promptings
where you start out you get so and then you
will find it and say, hey, no I don't want
(38:48):
that or know that.
Speaker 5 (38:51):
You know, Hey, how about.
Speaker 6 (38:53):
If you substituted salmon for the chicken and that anything wants.
Speaker 3 (39:00):
But it's let's say I did that and I got
the five meals and the recipes and the shopping lists,
and then one of the meals you just didn't like it.
Can you save this that information and come back to
it later and say, you know, these four meals were
(39:20):
really good, but this one we didn't like.
Speaker 5 (39:23):
Substitute this, yes, exactly, and you can.
Speaker 6 (39:27):
You can see the thing in chech GPT particular. You
can have a project and a project and then it
will save everything for you. If you don't do that,
then I think, like thirty days it might go away.
Speaker 5 (39:47):
So doing it with project and.
Speaker 6 (39:51):
I don't know if that's still available on their free instance,
but they're paid for instance starts as low as twenty
bucks a month, so it's hot.
Speaker 3 (40:04):
Yeah. I mean it seems to me that you know,
once you understand all these areas that you can apply it.
You know, twenty bucks a month is you know what
a Netflix subscription or you know three four Starbucks a month?
Speaker 4 (40:20):
You know whatever. I mean, it's just.
Speaker 3 (40:23):
It's it's it's doable, it's worth the return.
Speaker 4 (40:29):
It's wow.
Speaker 5 (40:32):
This top is three version it's pretty cool too.
Speaker 3 (40:36):
So yeah, I mean I'm gonna try this out.
Speaker 4 (40:40):
Yeah, I'm gonna try.
Speaker 3 (40:41):
This out today sometimes today I'm gonna go in and
I'm gonna put in all of our food sensitivities and
ask it to give me five meals and a grocery
list and each meal, you know, no more than five ingredients.
I mean, this is this is just so cool.
Speaker 4 (41:07):
It is just no idea, you know.
Speaker 3 (41:09):
I mean, I thought it was fantastic using it to
edit things that I've written, you know, make this professional
but warm and inviting, you know, and it's just I'm
reading and I'm like, oh my god, I'm a genius.
Speaker 4 (41:22):
It's like I write so well.
Speaker 3 (41:26):
But this is just a whole another level.
Speaker 5 (41:33):
It is. And go, go ahead.
Speaker 4 (41:36):
I'm yeah.
Speaker 3 (41:38):
The more well, the more you do it, the more
you it seems like, the more you understand how to
how to tell it what you need. And I think
it's obviously the key is the information that you input
to it and and the directive you can of it,
(42:00):
and then refining it and refining it and refining it.
But I mean just in I mean just this aspect
of just meal planning, you know, and grocery shopping.
Speaker 4 (42:15):
Is just amazing.
Speaker 3 (42:16):
I mean, you know, just imagine if you had, you know,
five kids, you know, grocery shopping and meal planning would.
Speaker 4 (42:25):
Be you know, you could just do an.
Speaker 3 (42:29):
Being able to save it as a project so that
you can come back to it later and refine it.
Speaker 4 (42:35):
You mean, that's just.
Speaker 3 (42:38):
You know, that's just amazing. You know, I'll see if
it's in the free version. But my goodness, gracious, this
is fantastic information. So folks hang on, but you know
we're on our last segment.
Speaker 4 (42:52):
We'll be back after the break.
Speaker 3 (42:56):
With Robin Whitley of Demystify AI.
Speaker 4 (42:59):
Will be back.
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Speaker 8 (44:36):
Radio your way, he'll belike dot net.
Speaker 3 (44:57):
Okay, folks, we are back with Robin lit of Demystify
AI and so far it's been just a wealth of
information and so so useful. I can see how I
can fly that in my life.
Speaker 4 (45:12):
I wish I could.
Speaker 3 (45:12):
Apply it to my work, but have to leave that
to the company. But you know, at the break, we
were just talking about myths and the misuse of AI.
I mean, just like any tool, you know, it can
be abused. Maybe if you could share with us pitfalls
(45:36):
things people should you know, be aware of.
Speaker 5 (45:40):
Wry Void.
Speaker 6 (45:42):
Yeah, absolutely so he always has to apply AI in
an ethical way.
Speaker 5 (45:49):
He always with it.
Speaker 6 (45:52):
You've got to ensure, you know, particularly for businesses, that
you always check for bias. Uh, there's ways around and
for businesses that would be starting with the governance and
the AI privacy issues. So if if you're in a corporation,
(46:12):
it's a little bit vastly different then if you're just
using it for personal use.
Speaker 5 (46:20):
So you always do need to check for bias.
Speaker 6 (46:24):
You need to check, you know what chat GPT gives you.
Sometimes they call it hallucinating because maybe you're fair enough,
maybe you didn't put the guardrails around it that you
need to. And I will tell about somebody that was
(46:45):
an attorney and it was for you know, it was
a client of the person that I was talking to,
and he used he went and researched, you know, a
particular instance. He was an attorney, and he researched the
particular incident and it turned out that the the cases
(47:11):
that were presented to him, he took it at face
value that those were legitimate cases and that.
Speaker 5 (47:19):
Was the decision that the court ruled on and it wasn't.
Speaker 6 (47:23):
And the judge at the time asked him to cite
where he got this information from, and long story short.
Speaker 5 (47:32):
He couldn't.
Speaker 6 (47:33):
So he had used check GPT to research this and
the information because it wasn't prompted bright or he didn't
go back and double.
Speaker 5 (47:45):
Check what it's output for him, that his job.
Speaker 6 (47:52):
So wow, yeah, so that's uh, you know, and in
that too, then don't share sensitive information. So if you're
getting this, you don't want to share any you know,
particularly in what you're doing. There's HIPPA, there's PII, there's
all of that that you've got to be very very
(48:13):
careful that that.
Speaker 5 (48:14):
Is not shared. And then so if you're using.
Speaker 6 (48:21):
AI generated content, be transparent about it. You know, as
a business owner, you know, I need to be transparent
where I'm using AI generated content.
Speaker 5 (48:34):
First, I need to check and make sure that what
it's given me, is it.
Speaker 6 (48:39):
Can be validated and verified and that the information I've
got is true, So always check that. But then also
with with people that I'm working with, say, you know,
you know in AI now you can actually clone yourself.
You can actually you know, film a video of yourself
(49:00):
well and then actually use that, you know, to in
a video to other people. But don't be don't let
them assume that that's actually you.
Speaker 5 (49:12):
That even though it's you, all of that, this is
my my AI assistant.
Speaker 4 (49:20):
Oh oh yeah, you know.
Speaker 3 (49:25):
Uh, I mean I've told you earlier that I'm in
a band, and I I don't. I mean, I've written songs,
but they're just for me. And it comes up into
this whole thing where I saw I saw a demonstration
somewhere that was write a song about you know, sunshine.
(49:45):
I'm just making this up in the style of you know,
x y Z artist, you know, and I thought, you know,
that just doesn't feel right, you know, so you know,
the the artistic thing, how does that, how is that
(50:08):
going to work?
Speaker 4 (50:09):
Or is that something that's still being sort of figured out?
Speaker 6 (50:14):
Yeah, And and I have to say that I don't
have enough information on the TET to reply with confidence
or you know, an intelligent answer.
Speaker 5 (50:26):
I'm sure that.
Speaker 6 (50:28):
You know around that type of stuff that you couldn't
you couldn't trademark in anything that's trademarked or.
Speaker 5 (50:37):
Probably uses like like like a derivative of that or
like a you know, a lyric.
Speaker 6 (50:49):
I think that that would run up against royalty issues.
Speaker 5 (50:54):
And that you will Yeah, that's yeah. I think you're
you know you are you are tiptoeing a fine line
if you're.
Speaker 4 (51:02):
Doing Yeah, yeah, I mean that certainly.
Speaker 3 (51:08):
Raises some some questions.
Speaker 4 (51:10):
I mean, you know, the.
Speaker 3 (51:14):
Music historically, you know, is generated from the heart, you know,
I mean, it's just this extension of people, and you know,
I can just see where I mean, there are times
when artists have written songs that sound like X y
(51:38):
Z song.
Speaker 4 (51:39):
They didn't mean it, but some songs are just so.
Speaker 3 (51:43):
Sort of burned into your mind that you know, and
it sounds good and you like that artist, and then
you know you've got a song and it's you know,
you're getting sued for plagiarism. So yeah, I mean, they're
definitely and I can certainly see. And in health, in
the health and wellness area, you know, you've got sensitive information.
Speaker 4 (52:05):
Same with life insurance.
Speaker 3 (52:06):
You know, these things have to be internal, they can't
be shared and so forth. So so yeah, I mean,
just like just like everything, you know, I mean, driving
a car, you need to be responsible, right, you know,
don't text and drive, don't drink and drive, all those things,
because the car is a tool and it can be dangerous.
(52:29):
And I imagine that AI can be dangerous in some
regards as.
Speaker 4 (52:35):
Well in our lives a few. Yeah, I'm sorry, go ahead.
Speaker 5 (52:40):
That's a great analogy. I mean, you know, it is
a tool, and you have to you know, like you said,
you have to be.
Speaker 6 (52:48):
Ethical, you have you have to understand that and understand
that you've you've got something like with the car, You've
got something that's a powerful tool and you have to
use it responsibly, just like with AI.
Speaker 5 (53:04):
Yeah.
Speaker 3 (53:04):
Yeah, and then you know, finally, you know, this whole
idea about AI taking people's jobs. I went to a
conference and I listened to I can't remember his name,
but he started a company called Signal, and he said
that that AI, that it's the people who leverage AI
(53:30):
who are the ones that are going to get ahead.
And if you don't, if you are slow to the table,
you know, understanding AI and and using it as the
powerful tool.
Speaker 4 (53:42):
It is your.
Speaker 3 (53:43):
Advantage that you're going to be left behind. And you
know when I you know, after today, and you know,
looking at all the things we've we've touched, you know
it certainly makes sense. I mean, you know, we get
back to life insurance. You know, So how many more
cases can an underwriter or a medical director get through
(54:06):
in a day if you can leverage AI to accurately
review the medical record and pull out the pertinent information
about the condition the medical condition that you're looking at.
I mean, so it makes you can help make you
(54:28):
better at your job. And I think you know, at
least for me, understanding AI and figuring out how I
can leverage it to make myself more efficient makes me
a more valuable person for the company or for my
own business.
Speaker 4 (54:47):
You know, I'm I to this date.
Speaker 3 (54:52):
So this afternoon, this evening, rather at six thirty, I'm
doing a webinar on food sensitivities. Well, I wrote the
entire thing, and but for this one, I didn't run
it through AI to clean it up because I had
just done it and and I liked it, so I
was like, I'll just leave it. But I can see,
(55:13):
you know, using AI to to make what my work
really shine, you know, to do my work.
Speaker 4 (55:25):
But I do see how you can get AI to
generate things.
Speaker 3 (55:29):
But you know, then you know, like you said, you know,
if you didn't do it, then you should at least
admit that you didn't do it right. But for folks,
just before I forget, if you go to m Wellness
Solutions and go to programs and click on webinar, you
can get access to the webinar tonight at six point
(55:49):
thirty on food sensitivities the hidden.
Speaker 4 (55:53):
Cause of what ails you. Robin, we have one minute
to go. Oh, folks, I encourage you.
Speaker 3 (56:04):
To go to Robin Whitley's website deem dash, mystify, ai
dot com. You know, if you're a small business person
or you're working with a nonprofit in particular these you
need to you need to take a look here and
(56:25):
see how you can be more efficient, especially in this
day and age where.
Speaker 4 (56:32):
You know funding for so many things is being cut,
so it means you.
Speaker 3 (56:35):
Have to work smarter, not harder, and it seems to
me that AI is the solution to that problem.
Speaker 4 (56:45):
Robin. Any final comments start last thirty seconds.
Speaker 6 (56:49):
I think with this, the final message is AI can
be your time multiplier, but only if you give it
a job today. You've got to ask it and prompt
it in the right way, use it ethically. But yeah,
I think that what it'll do is take a lot
of the things that are drudgery to do administrative types
(57:14):
of things, and take that off your plate to where
you can do, you know, the real job and focus
on the stuff that matters.
Speaker 3 (57:22):
Yes, I mean just that's you know, just the thought
of that applied to reading a thousand pages of medical
records just makes me salvy. It would be so wonderful
to be able to do that. Thank you again, and
thank you so much for stepping up.
Speaker 4 (57:39):
At the last minute.
Speaker 3 (57:40):
I mean literally, we talked this morning and she agreed
to come on and bail me out. And you know,
del Maine, I think I think we should do a
workshop because I want to know more about doing this.
Speaker 4 (57:57):
I'm sure people out there do.
Speaker 3 (57:59):
As well, because you know time, you know, time is precious,
and if we can get back in an hour to
do something for our own health and wellness or a day,
you know, enhance our relationship, improve our productivity. I mean,
how fantastic is that, so thanks folks.
Speaker 4 (58:20):
Thanks for tuning in.
Speaker 3 (58:23):
If you know anyone that might be interested in this,
it'll be posted tomorrow on healthy life dot net on demand,
and so share it with people. I think it's a
really important topic, so thanks so much,