April 9, 2025 • 19 mins
In this episode of the Vera Shafiq Podcast, Vera takes a look at the latest advancements and features of ChatGPT as of April 9, 2025, with a focus on the newly released image generation feature. Vera discusses her experiences using ChatGPT for various tasks such as creating brand-consistent marketing assets, conducting deep research, managing long-term projects, and more. She also highlights the benefits of using these AI tools to improve productivity and competitiveness in marketing. Additionally, Vera touches upon the potential of integrating AI features into company technology and emphasizes the importance of transitioning from experimenting with AI to effectively utilizing it for professional purposes.
00:00 Welcome and Introduction
01:36 Exploring ChatGPT's New Image Generation Feature
07:45 Deep Dive into ChatGPT's Deep Research Feature
10:48 Streamlining Workflows with ChatGPT Projects
11:58 Leveraging Custom GPTs for Repetitive Tasks
13:45 The Future of AI: GPT Operator and Scheduled Tasks
16:52 Final Thoughts and Future Directions
Mark as Played
Transcript
Episode Transcript
Available transcripts are automatically generated. Complete accuracy is not guaranteed.
(00:14):
Hello everyone and welcome backto the podcast.
Welcome to the Vera Shafiqpodcast, and we are already in
the midst of April, 2025,already in Q2.
The year is flying by.
And of course one of the thingson people's minds as this year
progresses is ai, generative aiand all of the advancements that
(00:38):
are happening in that arena.
And when I started this season'spodcast, I promised that I would
be talking.
About AI tools and really how AIcan help to supercharge your
efforts as a franchise marketeror a marketer in general.
And I've talked about it alittle bit, but not every single
(00:59):
podcast that I've released hasbeen about ai.
Because as we know, there are alot of other things to talk
about, but today I'm gonna focuspurely on the experiences that
I've had in chat GPT.
So today's gonna be all aboutchat, GPT, the features that it
currently offers as of, I'mrecording this on Wednesday,
(01:20):
April the ninth of 2025, and Iwanna talk about.
The wonderful things that ChatGPT's really been able to help
me with.
And, looking forward into whatpotentially it's gonna be able
to offer in the future.
But I wanna get started with afeature of chat GPT that was
released pretty recently.
(01:41):
Probably a couple weeks ago,which is the new image
generation feature.
So chat, GPT moved away from theDALLE image generation.
It still has DALLE as an imagegeneration option, but the 4o
image generator is just handover foot, head over heels, head
over, whatever you wanna callit.
(02:01):
Way better than the DALLE imagegeneration, in my opinion.
You've probably already tried itout and you've probably already
realized that the photorealismis amazing.
So whereas before DALLE used togive, images that were
realistic, but they reallydidn't look like photographic
(02:22):
images.
Now the photo realism is therewith chat, GPT-4o image.
And the great thing about it is,the consistency, the image
consistency that we are gettingnow with this feature.
So for example, I'll give you anexample of how I've used it
recently is I've given it anexample image of a brand's
(02:45):
marketing creative, right?
So I took a Facebook.
ad for a specific brand that I'mworking with and I told Chat
GPT, here you go.
Here's an image.
Please pay attention to thebrand guidelines.
And I called out some of thebrand guidelines, the colors,
the fonts, the logo, the styleof the images, and then I asked
(03:07):
it to give me some similarassets that had different scenes
going on in there, but with thesame brand guidelines, and it
did a phenomenal job.
Of generating alternate versionsof the image that I gave it.
So you know, what this allows usto do now is to.
(03:29):
Be able to give a seed image tothe AI and then have it generate
images that follow the samestyle or even use the same
person.
So say you have a spokespersonor a person that features
heavily in your creative, youcan ask it to create images of
that same person in differentposes, different situations,
(03:50):
different scenarios.
And it does a really good job ofit.
The other great thing is itfollows directions really well
in terms of, for example, if youhave a uniform, so I'm working
with a home services brand,right?
They have a specific uniformthat their team members wear
specific colors, specificstyling, specific pieces of
(04:12):
apparel that they wear.
You tell chat GPT that you want.
The character in the image to bewearing that specific uniform
and it follows it to a tee.
So now you can createadvertising assets, marketing
assets that have peopleuniformed in your specific brand
(04:33):
apparel.
So that is a game changer.
The other thing is, if you havean image that has something in
it that you need to correct.
You can tell GPT-4o hey, takethis piece of the image.
You can circle it.
You can actually select a pieceof an image and say, please
(04:54):
change this piece of the image,but leave everything else as is.
It can correct your colors andyour fonts.
What I've found is that the logocan sometimes be hit or miss.
So if you ask it to replicate.
An overlay of a logo on top ofan image, it sometimes gets the
logo slightly wrong.
(05:15):
It's never spot on.
So what I recommend is have itgenerate the image and then
overlay the logo yourself inCanva.
It's really easy just to uploadthat image and take your logo
and slap it on there in Canva.
The other great thing is thatit's now really awesome about
text overlays.
(05:37):
So whereas before it used tomess up with text, it couldn't
spell things right, it used tolook like Russian or some weird
language on there.
Now if you ask it to overlay acaption or a slogan or a tagline
on the image, it does anexcellent job.
That is, the really excitingthing for me is while there are
other image generation AI toolsout there, and I've talked about
(06:00):
Ideogram.
Ideogram is a really great imagegeneration tool.
They have a free option as wellas a paid option, and it's
really great of photographicimages.
It gets all the fingers doesn'tgenerate.
People with six or eight fingerson their hands, it gets all of
that, right?
It doesn't have the ability foryou to upload a seed image and
(06:21):
then get the output, which is.
As accurate as what chat GPT'sdoing right now, in my opinion.
Other honorable mentions forimage generation in ai, I would
say imagen 3 which is Google'smodel is a great one, so you can
get that for free.
If you just go on Google, do asearch for imagen 3 and you
(06:44):
will.
Get sent over to that specificmodel.
That's a great one.
It also does generate reallygood photographic realistic
images.
There are certain things itwon't do.
It won't create things inlikenesses of other people.
It won't create images ofchildren or babies.
So there were some kind of.
Caveats there, but right now I'mhaving a lot of fun using Chat
(07:09):
GPTs 4o model.
Granted, when you ask it togenerate an image, it does take
a little bit of time to do it.
It's not instantaneous and itcan take up to a few minutes to
generate the image.
I don't know if it's because I'musing the plus version of chat,
GPT maybe.
Pro users are getting a betterexperience on that.
(07:31):
But I would say if you haven'ttried it yet, definitely try it
because it is going to reallydrive efficiencies for your
advertising and marketing, assetcreation system and processes.
All right, let's move on toanother feature of chat GPT that
I'm really enjoying.
And it's an older one, it's beenaround a bit longer, but if you
(07:55):
haven't tried it again, this isa really great one.
It's the deep research feature.
So you can go in there, selecton the deep research tab, and
then ask chat GPT to do any kindof deep research that you want.
And what it will do is it willgo back.
Do a bunch of research.
(08:15):
It'll take, 10 to 15 minutessearching the web, doing all
kinds of research and reasoning,and coming back with a really
solid, substantial,comprehensive output.
I'll give you some examples ofwhat I've used deep research
for.
So I've done it to researchmarketing agency, so I've asked
it to provide me a full report.
(08:37):
On the offerings of a couple ofdifferent marketing agencies,
I've asked it to give me thestrengths and weaknesses of
those agencies, provide pricingplans dig deep into reviews of
those agencies and clientfeedback, and then provide me
comparison tables.
So it went away, took about 10minutes, came back and gave me a
(08:59):
really awesome outline of, whatthese agencies do, pros and
cons, cost benefit analysis whatI should be aware of, what I
should, be looking at in termsof if I'm gonna ask them follow
up questions.
And the key to deep research isthat you wanna give it as
detailed of a prompt as you can.
(09:20):
So as with all ai, generative aithe prompting is really
important.
Give it a really detailed promptand then it will still come back
and ask you more qualifyingquestions.
So that's the beauty of deepresearch is after you prompt it,
it will say, okay, just tocheck.
I wanna make sure you want this,and this.
(09:41):
And then.
Ask some more questions just tomake sure it's really
understanding what you want outof the research.
And then as I said, it goesaway, does the research and
comes back.
I've also done this for deepresearch on competitive analysis
for a brand gone in and asked itto go in and do a really deep
dive on not just the nationalcompetitors for the brand, but
(10:03):
also.
The local mom and popcompetitors at the local
franchise level, and it's done areally great job of digging deep
into all of the data that's outthere on the web.
Something that, you know, if Itried to do that myself, would
take me several hours.
It goes into the Reddit posts,it goes into forums.
(10:25):
It goes to G two crowd, all theB2B kind of platforms, depending
on what the search is for,right?
Or the research is for, it goeseverywhere and then brings back
all of the data and it evenprovides you the links to where
it found the data.
So you can fact check it andmake sure that everything it's
come back with is actuallylegit.
(10:46):
All right, so that's deepresearch.
Let's move on to projects.
Okay, so chat.
GPT has a feature calledprojects.
This has been around for awhile.
I've used this a lot, reallyjust to streamline my workflows
when I know that I'm gonna beworking on something on a
long-term basis, and I want chatGPT to remember everything about
(11:11):
this project so that I can buildon it.
Over time, I create a project.
Then I ask it all the questionsand prompts that I need.
And the beauty of the project'sfeature is that you can provide
a set of instructions in thereto give it a foundation of what
you want it to do going forwardin that project.
So you can give it a backgroundon, say for example you're
(11:32):
working with a specific brand,give it the background on the
brand, on the project, thebrief, if there's a brief
involved.
And it keeps a memory ofeverything that's being held in
that project so that anythingyou do in that project is going
to be additive and build on theprevious history.
So that is an awesome feature.
Again, if you haven't used it, Ihighly recommend you give it a
(11:56):
shot.
The next feature of chat, GPT iscustom gpt.
These have been around since dayone, and again.
It's not a new feature, but Idefinitely wanna call it out
that it's something that canreally provide value if you are
looking to do something again ona repetitive basis.
(12:16):
For example, ad creation, right?
I have created a custom GPT, forexample, on meta ads.
So if I want to create a set ofmeta ads.
On an ongoing basis and, for aspecific brand, it could be for
a specific brand or another, abunch of brands.
But what you can do is you cancreate this custom GPT.
(12:37):
It's similar to a project, butit's slightly different in the
sense that you give it a set ofinstructions, you give it the
guidelines that you want it todo, so you give it a very clear
outline of how you want it tooutput the results.
And then you can go back and usethat custom GPT again and again
for different results, right?
(12:58):
So I can say, Hey, I have aspring meta campaign that I need
to run for X, Y, Z.
Here's the target audience,here's the geo targeting that I
wanna do.
Here's the website that I wannasend traffic to.
Please provide images.
Copy for meta ads that areconversion, objective, et
(13:20):
cetera, et cetera.
So you give it the backgroundand it will spit out some really
great, ideas for meta ads ingeneral.
So custom gpt definitely usethat for things that are, things
that in your workflow that youdo a lot of and require a
specific format in the output.
(13:42):
Moving on to the next feature.
This is a feature I haven'treally been able to test because
it's only available on the$200 amonth pro plan.
And I'm too cheap to purchasethat.
I, this can't justify spending$200 a month right now.
I probably should give it a shotfor at least a month, but, I
haven't tested it out, but Ihave friends and contacts that
(14:06):
have and are using it.
And that's GPT operator.
So that's the feature that.
Essentially goes out and surfsthe web just like a human being
and can go and do things, fillin forms, make appointments,
make book appointments, makephone calls, et cetera, do
things on the web just like ahuman right.
(14:28):
It's called operator.
It even fills in the CAPTCHAfield of online forms.
So you can tell it to go out andbook, an appointment or go out
and.
Do some research and fill outsome forms based on your
specific preferences.
Again, this is a feature that Ihaven't tested, but it's the
(14:48):
beginnings of what is happeningeverywhere right now in
generative ai operator likefunctionalities now coming out
of Google.
I believe it's coming out ofAnthropic as well.
So this type of agent reallythat acts on your behalf and
goes on the web is somethingthat's becoming a staple part of
(15:10):
generative ai, but definitelyexciting and I'm sure it's gonna
get better over time.
But that's another feature chat,GPT that I'm excited about.
And then finally, the lastfeature that it has been around
again for a while.
I've been using it.
I'm not as stoked about it assome of these other features.
I'm not as excited about it, butI'm sure it's also gonna get
(15:32):
better.
And that's scheduled tasks.
So you can go into chat, GPT andask it to do something on a
regular recurring basis.
And this is helpful for thingslike if you wanted to on, give
you daily updates on ai, forexample.
So I have a daily update whereit will go out.
And look for franchise marketingrelated AI developments that
(15:57):
it's been able to find and comeback with the top five
developments for that day.
So every day at 7:00 AM I get anotification from chat GPT that
it's done this schedule task.
And gone out and found thelatest and greatest developments
in marketing AI for franchises.
I had to fine tune it a littlebit'cause it was going out and
finding me things on a globalscale and I was more interested
(16:20):
in things related to the US andCanada.
So I had to fine tune that.
It does have a tendency to comeback with the same thing day
after day, it doesn'tnecessarily come back with
unique output.
So I had to tell it, Hey, pleasegive me unique output.
It still keeps giving me thesame thing sometimes, so it's a
little bit finicky, but I cansee how it could be really
(16:42):
useful for just schedulingthings and getting things on an
automated kind of calendar or aschedule.
So give that a shot if youhaven't already.
All right, so that's pretty muchall I wanted to share today.
What I wanted to end thisepisode with is, this is great,
right?
All of these features that chat,GPT alone is now offering us.
(17:05):
And we might be on the forefrontof the leading edge of this
'cause, I can guarantee you thatwe are, if we are using these
features, we are probably.
Some of the very few people thatare I know marketers are gonna
be in that top echelon of AIusers right now, we might have
an edge over our competitors.
(17:26):
Because we are using thesefeatures right now.
But what happens when everybodystarts doing it right?
This is gonna get democratizedand it's gonna become more and
more of a staple tool thatpeople use.
So what do we need to thinkahead for in terms of using AI
right now?
You just using it is gonna giveyou that really great
(17:49):
competitive edge, get you aheadof the competition.
And really create theseefficiencies in your workflows,
but eventually it's gonna betime to bake these types of AI
features into your tech, right?
And that's the thing that'sgonna be really exciting is once
everyone has it and it's nolonger a differentiator anymore,
(18:12):
where you're really going tohave to make those moves is to
start putting AI into yourtechnology, into your
underlying.
Company technology.
Start thinking about that aswell, especially if you want to
get ahead as a brand and as abusiness.
And then I'll leave you with afinal thought, and that is
(18:32):
there's a time to test andtinker with ai and there's a
time to use AI to get your jobdone better than your
competition.
So if you are still in thattesting and tinkering phase
where you're not.
Really using it to do anymeaningful work or getting
anything productive done, thenthink about taking that leap and
(18:55):
moving away from the testing andplaying around phase And putting
a plan in place so that you canstart using AI to get you
places, get you someproductivity, get some things
achieved, and actually put it towork for you in your
professional day-to-day life.
(19:17):
That's it for today.
Thanks for listening.
Tune into the next episode andplease subscribe to and review
this podcast if you liked it.
Catch you next time.
Hello everyone and welcome backto the podcast.
Welcome to the Vera Shafiqpodcast, and we are already in
the midst of April, 2025,already in Q2.
The year is flying by.
And of course one of the thingson people's minds as this year
progresses is ai, generative aiand all of the advancements that
(00:38):
are happening in that arena.
And when I started this season'spodcast, I promised that I would
be talking.
About AI tools and really how AIcan help to supercharge your
efforts as a franchise marketeror a marketer in general.
And I've talked about it alittle bit, but not every single
(00:59):
podcast that I've released hasbeen about ai.
Because as we know, there are alot of other things to talk
about, but today I'm gonna focuspurely on the experiences that
I've had in chat GPT.
So today's gonna be all aboutchat, GPT, the features that it
currently offers as of, I'mrecording this on Wednesday,
(01:20):
April the ninth of 2025, and Iwanna talk about.
The wonderful things that ChatGPT's really been able to help
me with.
And, looking forward into whatpotentially it's gonna be able
to offer in the future.
But I wanna get started with afeature of chat GPT that was
released pretty recently.
(01:41):
Probably a couple weeks ago,which is the new image
generation feature.
So chat, GPT moved away from theDALLE image generation.
It still has DALLE as an imagegeneration option, but the 4o
image generator is just handover foot, head over heels, head
over, whatever you wanna callit.
(02:01):
Way better than the DALLE imagegeneration, in my opinion.
You've probably already tried itout and you've probably already
realized that the photorealismis amazing.
So whereas before DALLE used togive, images that were
realistic, but they reallydidn't look like photographic
(02:22):
images.
Now the photo realism is therewith chat, GPT-4o image.
And the great thing about it is,the consistency, the image
consistency that we are gettingnow with this feature.
So for example, I'll give you anexample of how I've used it
recently is I've given it anexample image of a brand's
(02:45):
marketing creative, right?
So I took a Facebook.
ad for a specific brand that I'mworking with and I told Chat
GPT, here you go.
Here's an image.
Please pay attention to thebrand guidelines.
And I called out some of thebrand guidelines, the colors,
the fonts, the logo, the styleof the images, and then I asked
(03:07):
it to give me some similarassets that had different scenes
going on in there, but with thesame brand guidelines, and it
did a phenomenal job.
Of generating alternate versionsof the image that I gave it.
So you know, what this allows usto do now is to.
(03:29):
Be able to give a seed image tothe AI and then have it generate
images that follow the samestyle or even use the same
person.
So say you have a spokespersonor a person that features
heavily in your creative, youcan ask it to create images of
that same person in differentposes, different situations,
(03:50):
different scenarios.
And it does a really good job ofit.
The other great thing is itfollows directions really well
in terms of, for example, if youhave a uniform, so I'm working
with a home services brand,right?
They have a specific uniformthat their team members wear
specific colors, specificstyling, specific pieces of
(04:12):
apparel that they wear.
You tell chat GPT that you want.
The character in the image to bewearing that specific uniform
and it follows it to a tee.
So now you can createadvertising assets, marketing
assets that have peopleuniformed in your specific brand
(04:33):
apparel.
So that is a game changer.
The other thing is, if you havean image that has something in
it that you need to correct.
You can tell GPT-4o hey, takethis piece of the image.
You can circle it.
You can actually select a pieceof an image and say, please
(04:54):
change this piece of the image,but leave everything else as is.
It can correct your colors andyour fonts.
What I've found is that the logocan sometimes be hit or miss.
So if you ask it to replicate.
An overlay of a logo on top ofan image, it sometimes gets the
logo slightly wrong.
(05:15):
It's never spot on.
So what I recommend is have itgenerate the image and then
overlay the logo yourself inCanva.
It's really easy just to uploadthat image and take your logo
and slap it on there in Canva.
The other great thing is thatit's now really awesome about
text overlays.
(05:37):
So whereas before it used tomess up with text, it couldn't
spell things right, it used tolook like Russian or some weird
language on there.
Now if you ask it to overlay acaption or a slogan or a tagline
on the image, it does anexcellent job.
That is, the really excitingthing for me is while there are
other image generation AI toolsout there, and I've talked about
(06:00):
Ideogram.
Ideogram is a really great imagegeneration tool.
They have a free option as wellas a paid option, and it's
really great of photographicimages.
It gets all the fingers doesn'tgenerate.
People with six or eight fingerson their hands, it gets all of
that, right?
It doesn't have the ability foryou to upload a seed image and
(06:21):
then get the output, which is.
As accurate as what chat GPT'sdoing right now, in my opinion.
Other honorable mentions forimage generation in ai, I would
say imagen 3 which is Google'smodel is a great one, so you can
get that for free.
If you just go on Google, do asearch for imagen 3 and you
(06:44):
will.
Get sent over to that specificmodel.
That's a great one.
It also does generate reallygood photographic realistic
images.
There are certain things itwon't do.
It won't create things inlikenesses of other people.
It won't create images ofchildren or babies.
So there were some kind of.
Caveats there, but right now I'mhaving a lot of fun using Chat
(07:09):
GPTs 4o model.
Granted, when you ask it togenerate an image, it does take
a little bit of time to do it.
It's not instantaneous and itcan take up to a few minutes to
generate the image.
I don't know if it's because I'musing the plus version of chat,
GPT maybe.
Pro users are getting a betterexperience on that.
(07:31):
But I would say if you haven'ttried it yet, definitely try it
because it is going to reallydrive efficiencies for your
advertising and marketing, assetcreation system and processes.
All right, let's move on toanother feature of chat GPT that
I'm really enjoying.
And it's an older one, it's beenaround a bit longer, but if you
(07:55):
haven't tried it again, this isa really great one.
It's the deep research feature.
So you can go in there, selecton the deep research tab, and
then ask chat GPT to do any kindof deep research that you want.
And what it will do is it willgo back.
Do a bunch of research.
(08:15):
It'll take, 10 to 15 minutessearching the web, doing all
kinds of research and reasoning,and coming back with a really
solid, substantial,comprehensive output.
I'll give you some examples ofwhat I've used deep research
for.
So I've done it to researchmarketing agency, so I've asked
it to provide me a full report.
(08:37):
On the offerings of a couple ofdifferent marketing agencies,
I've asked it to give me thestrengths and weaknesses of
those agencies, provide pricingplans dig deep into reviews of
those agencies and clientfeedback, and then provide me
comparison tables.
So it went away, took about 10minutes, came back and gave me a
(08:59):
really awesome outline of, whatthese agencies do, pros and
cons, cost benefit analysis whatI should be aware of, what I
should, be looking at in termsof if I'm gonna ask them follow
up questions.
And the key to deep research isthat you wanna give it as
detailed of a prompt as you can.
(09:20):
So as with all ai, generative aithe prompting is really
important.
Give it a really detailed promptand then it will still come back
and ask you more qualifyingquestions.
So that's the beauty of deepresearch is after you prompt it,
it will say, okay, just tocheck.
I wanna make sure you want this,and this.
(09:41):
And then.
Ask some more questions just tomake sure it's really
understanding what you want outof the research.
And then as I said, it goesaway, does the research and
comes back.
I've also done this for deepresearch on competitive analysis
for a brand gone in and asked itto go in and do a really deep
dive on not just the nationalcompetitors for the brand, but
(10:03):
also.
The local mom and popcompetitors at the local
franchise level, and it's done areally great job of digging deep
into all of the data that's outthere on the web.
Something that, you know, if Itried to do that myself, would
take me several hours.
It goes into the Reddit posts,it goes into forums.
(10:25):
It goes to G two crowd, all theB2B kind of platforms, depending
on what the search is for,right?
Or the research is for, it goeseverywhere and then brings back
all of the data and it evenprovides you the links to where
it found the data.
So you can fact check it andmake sure that everything it's
come back with is actuallylegit.
(10:46):
All right, so that's deepresearch.
Let's move on to projects.
Okay, so chat.
GPT has a feature calledprojects.
This has been around for awhile.
I've used this a lot, reallyjust to streamline my workflows
when I know that I'm gonna beworking on something on a
long-term basis, and I want chatGPT to remember everything about
(11:11):
this project so that I can buildon it.
Over time, I create a project.
Then I ask it all the questionsand prompts that I need.
And the beauty of the project'sfeature is that you can provide
a set of instructions in thereto give it a foundation of what
you want it to do going forwardin that project.
So you can give it a backgroundon, say for example you're
(11:32):
working with a specific brand,give it the background on the
brand, on the project, thebrief, if there's a brief
involved.
And it keeps a memory ofeverything that's being held in
that project so that anythingyou do in that project is going
to be additive and build on theprevious history.
So that is an awesome feature.
Again, if you haven't used it, Ihighly recommend you give it a
(11:56):
shot.
The next feature of chat, GPT iscustom gpt.
These have been around since dayone, and again.
It's not a new feature, but Idefinitely wanna call it out
that it's something that canreally provide value if you are
looking to do something again ona repetitive basis.
(12:16):
For example, ad creation, right?
I have created a custom GPT, forexample, on meta ads.
So if I want to create a set ofmeta ads.
On an ongoing basis and, for aspecific brand, it could be for
a specific brand or another, abunch of brands.
But what you can do is you cancreate this custom GPT.
(12:37):
It's similar to a project, butit's slightly different in the
sense that you give it a set ofinstructions, you give it the
guidelines that you want it todo, so you give it a very clear
outline of how you want it tooutput the results.
And then you can go back and usethat custom GPT again and again
for different results, right?
(12:58):
So I can say, Hey, I have aspring meta campaign that I need
to run for X, Y, Z.
Here's the target audience,here's the geo targeting that I
wanna do.
Here's the website that I wannasend traffic to.
Please provide images.
Copy for meta ads that areconversion, objective, et
(13:20):
cetera, et cetera.
So you give it the backgroundand it will spit out some really
great, ideas for meta ads ingeneral.
So custom gpt definitely usethat for things that are, things
that in your workflow that youdo a lot of and require a
specific format in the output.
(13:42):
Moving on to the next feature.
This is a feature I haven'treally been able to test because
it's only available on the$200 amonth pro plan.
And I'm too cheap to purchasethat.
I, this can't justify spending$200 a month right now.
I probably should give it a shotfor at least a month, but, I
haven't tested it out, but Ihave friends and contacts that
(14:06):
have and are using it.
And that's GPT operator.
So that's the feature that.
Essentially goes out and surfsthe web just like a human being
and can go and do things, fillin forms, make appointments,
make book appointments, makephone calls, et cetera, do
things on the web just like ahuman right.
(14:28):
It's called operator.
It even fills in the CAPTCHAfield of online forms.
So you can tell it to go out andbook, an appointment or go out
and.
Do some research and fill outsome forms based on your
specific preferences.
Again, this is a feature that Ihaven't tested, but it's the
(14:48):
beginnings of what is happeningeverywhere right now in
generative ai operator likefunctionalities now coming out
of Google.
I believe it's coming out ofAnthropic as well.
So this type of agent reallythat acts on your behalf and
goes on the web is somethingthat's becoming a staple part of
(15:10):
generative ai, but definitelyexciting and I'm sure it's gonna
get better over time.
But that's another feature chat,GPT that I'm excited about.
And then finally, the lastfeature that it has been around
again for a while.
I've been using it.
I'm not as stoked about it assome of these other features.
I'm not as excited about it, butI'm sure it's also gonna get
(15:32):
better.
And that's scheduled tasks.
So you can go into chat, GPT andask it to do something on a
regular recurring basis.
And this is helpful for thingslike if you wanted to on, give
you daily updates on ai, forexample.
So I have a daily update whereit will go out.
And look for franchise marketingrelated AI developments that
(15:57):
it's been able to find and comeback with the top five
developments for that day.
So every day at 7:00 AM I get anotification from chat GPT that
it's done this schedule task.
And gone out and found thelatest and greatest developments
in marketing AI for franchises.
I had to fine tune it a littlebit'cause it was going out and
finding me things on a globalscale and I was more interested
(16:20):
in things related to the US andCanada.
So I had to fine tune that.
It does have a tendency to comeback with the same thing day
after day, it doesn'tnecessarily come back with
unique output.
So I had to tell it, Hey, pleasegive me unique output.
It still keeps giving me thesame thing sometimes, so it's a
little bit finicky, but I cansee how it could be really
(16:42):
useful for just schedulingthings and getting things on an
automated kind of calendar or aschedule.
So give that a shot if youhaven't already.
All right, so that's pretty muchall I wanted to share today.
What I wanted to end thisepisode with is, this is great,
right?
All of these features that chat,GPT alone is now offering us.
(17:05):
And we might be on the forefrontof the leading edge of this
'cause, I can guarantee you thatwe are, if we are using these
features, we are probably.
Some of the very few people thatare I know marketers are gonna
be in that top echelon of AIusers right now, we might have
an edge over our competitors.
(17:26):
Because we are using thesefeatures right now.
But what happens when everybodystarts doing it right?
This is gonna get democratizedand it's gonna become more and
more of a staple tool thatpeople use.
So what do we need to thinkahead for in terms of using AI
right now?
You just using it is gonna giveyou that really great
(17:49):
competitive edge, get you aheadof the competition.
And really create theseefficiencies in your workflows,
but eventually it's gonna betime to bake these types of AI
features into your tech, right?
And that's the thing that'sgonna be really exciting is once
everyone has it and it's nolonger a differentiator anymore,
(18:12):
where you're really going tohave to make those moves is to
start putting AI into yourtechnology, into your
underlying.
Company technology.
Start thinking about that aswell, especially if you want to
get ahead as a brand and as abusiness.
And then I'll leave you with afinal thought, and that is
(18:32):
there's a time to test andtinker with ai and there's a
time to use AI to get your jobdone better than your
competition.
So if you are still in thattesting and tinkering phase
where you're not.
Really using it to do anymeaningful work or getting
anything productive done, thenthink about taking that leap and
(18:55):
moving away from the testing andplaying around phase And putting
a plan in place so that you canstart using AI to get you
places, get you someproductivity, get some things
achieved, and actually put it towork for you in your
professional day-to-day life.
(19:17):
That's it for today.
Thanks for listening.
Tune into the next episode andplease subscribe to and review
this podcast if you liked it.
Catch you next time.
Popular Podcasts
Las Culturistas with Matt Rogers and Bowen Yang
Ding dong! Join your culture consultants, Matt Rogers and Bowen Yang, on an unforgettable journey into the beating heart of CULTURE. Alongside sizzling special guests, they GET INTO the hottest pop-culture moments of the day and the formative cultural experiences that turned them into Culturistas. Produced by the Big Money Players Network and iHeartRadio.
On Purpose with Jay Shetty
I’m Jay Shetty host of On Purpose the worlds #1 Mental Health podcast and I’m so grateful you found us. I started this podcast 5 years ago to invite you into conversations and workshops that are designed to help make you happier, healthier and more healed. I believe that when you (yes you) feel seen, heard and understood you’re able to deal with relationship struggles, work challenges and life’s ups and downs with more ease and grace. I interview experts, celebrities, thought leaders and athletes so that we can grow our mindset, build better habits and uncover a side of them we’ve never seen before. New episodes every Monday and Friday. Your support means the world to me and I don’t take it for granted — click the follow button and leave a review to help us spread the love with On Purpose. I can’t wait for you to listen to your first or 500th episode!
Dateline NBC
Current and classic episodes, featuring compelling true-crime mysteries, powerful documentaries and in-depth investigations. Follow now to get the latest episodes of Dateline NBC completely free, or subscribe to Dateline Premium for ad-free listening and exclusive bonus content: DatelinePremium.com