Episode Transcript
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Colette Mason | Clever Clo (00:00):
Some
things I do with people is I
(00:02):
always like to train thingsrather than rely on prompts
because otherwise, it's gonnaguess and it's gonna guess
wrong.
So things you could do would beto upload your priorities for
this week, this quarter and tellit you've got the tendency where
you tend to wander off and itwill hopefully say to you, well,
we were supposed to be workingon the website wording today,
not logos, come back to whatyou're supposed to be doing.
(00:23):
So if you keep reminding you andit to stay on track, then I
think you get better results.
Brooke (00:28):
Welcome to How I AI the
podcast featuring real people,
real stories, and real AI inaction.
I'm Brooke Gramer, your host andguide on this journey into the
real world impact of artificialintelligence.
For over 15 years, I've workedin creative marketing events and
business strategy, wearing allthe hats.
(00:48):
I know the struggle of trying toscale and manage all things
without burning out, but here'sthe game changer, AI.
This isn't just a podcast.
How I AI is a community, a spacewhere curious minds like you
come together, share ideas, andI'll also bring you exclusive
discounts, and insiderresources, because AI isn't just
(01:12):
a trend, it's a shift, and thesooner we embrace it, the more
freedom, creativity, andopportunities will unlock.
Have you just started exploringAI and feel a bit overwhelmed?
Don't worry, I've got you.
Jump on a quick start audit callwith me so you can walk away
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(01:33):
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Join my community of AI adopterslike yourself.
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Or try my How I AI companionGPT.
It pulls insights from my guestinterviews along with global
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Follow the link in thedescription below to get
(01:53):
started.
Brooke (2) (01:54):
My guest today,
Colette has over 40 years
building systems, frominvestment banks to the UK
government.
Now she's using the sameprecision to help business
owners build collaborative AIteammates.
In this episode, we talk abouther seven AI archetypes, how to
stop juggling half finishedideas, and what it means to make
(02:16):
technology work with us, notagainst us.
If you've ever felt overwhelmedby creating the right prompts or
burnt out by automation, thisconversation will remind you
that AI can be helpful and evena little bit healing.
Alright, let's dive in.
Brooke (02:31):
Today I have a very
special guest joining us from
Great Britain, Colette Mason, acollaborative AI consultant with
over 40 years in IT and threeyears of hands-on AI
implementation.
Colette, welcome.
I'm so happy to have you.
Colette Mason | Clever Cl (02:47):
Thank
you very much.
Yes, thank you.
Brooke (02:49):
For us to just start
this conversation, i'd love to
hear a little bit aboutyourself.
If you could share withlisteners how you ended up where
you are today.
Colette Mason | Clever Clo (02:59):
Yes.
I probably don't look old enoughto have 40 years uh, computing
experience, so I suppose I oughtto start there.
I didn't start in the pram.
It was a little bit older thanthat.
My dad was an engineer and hebought me things like meccano
when I was small and when homecomputers first came out he sort
of got one and told me thiscould be pretty good fun.
So for my birthday, my firstcomputer turned up and I was,
(03:22):
yeah, I was 12 years old and youhad to plug it into the TV'cause
there were no monitors backthen.
And, and I just loved it.
I, I was an only child and I wasused to making my own
entertainment and so it wasgreat to have this machine'cause
it could do so many things.
And um, I started from, youknow, I started from there and
then a couple of years later,dad saved up for the next
(03:42):
computer, which was um, incolor.
I still plugged into the tv, butit was in color.
And from there I got my firstcomputing job because I'd had a
couple of years experience bythen and I'd been helping a
local business like a littlewholesaler, and I started to
help them with their customerlists and stock.
And then I kind of moved on,moved on from there in uh, in
(04:03):
IT.
Brooke (04:05):
Very cool.
I love speaking to people thathave those natural curious minds
in their origin stories.
It usually starts somethinglike, oh, I, I was sitting
around playing with my Legos andSudoku and wanting to build
since day one.
So thank you for sharing that.
So bring us to where you aretoday and the type of clients
(04:26):
you support and thecollaborative efforts that you
are doing with AI.
Colette Mason | Clever Clo (04:31):
Yes.
So just before I sort of gotinto the eighth, the I stuff, I
was doing lots of stuff forinvestment banking.
Brooke (04:37):
Mm-hmm.
Colette Mason | Clever Clogs (04:37):
I
did the, I looked after London
Underground's email system or10,000 email addresses and I did
lots of big corporate projects.
And as part of that, somebodyactually thought, wouldn't it be
really good if we asked theusers how this thing worked?
And I started to transition intousability.
And that's where now when I'm inai, I'm much more into, well,
how does it feel to use this?
(04:58):
Does it do what we want it todo?
How do we feel about it as asociety in a slightly wider
sense than you might just do.
Trying to automate yourself.
So that's where the, thecollaborative part bit came
from.
And also I think there's a bitof a technical limitation.
It's, it's not as good as ev themarketing brochures would have
us believe.
And it still makes lots ofmistakes and things.
So I think it's pretty criticalthat you have a, a person in
(05:21):
there when you're makingjudgments.
Logic not so much, but when it'sactual judgements, when there's
gray areas, then I think youdefinitely still need a person.
Brooke (05:28):
Yes.
You and I in our intro call,talked a lot about just the
system and processes and AI andautomation and how it's all
different.
Colette Mason | Clever Cl (05:37):
Yeah.
Brooke (05:37):
If you could maybe touch
on that inner nuance and why
it's so important to understandwhere we are now and the current
limitations and how we need tostill be supporting it.
Colette Mason | Clever Clogs (05:47):
I
think the biggest advancements
we've seen this year are in theSTEM types of ai, where it's
maths and physics and there's aright and wrong answer and
things with humor and empathyand real good bedside manner.
Those things are really hard tofind out what works and what
works for somebody might notwork for somebody else.
(06:08):
And so it's hard for the machineto learn to do it.
And they're quite thorny issuesas well where you might offend
somebody or lose a customer ifyou get it wrong.
It's not just run the equationagain.
And I think that slows, slows usdown a little bit.
Or people just get a bit gliband they get tired of checking
when it keeps doing it wrong andthey'll wave it through.
I'm not sure that's the best,the best idea to do it that way.
(06:30):
So I don't, for the more humanthings, it's just not really
good enough to be leftUnpoliced.
Brooke (06:36):
Yes, you've done such a
great job and a grounded way of
bringing, merging AI withframeworks that you've put
together.
Colette Mason | Clever Clo (06:45):
Yes.
Brooke (06:46):
and one of my favorite
things that you've done is
you've created these.
AI archetypes, which I wanna dig
Colette Mason | Clever Clo (06:52):
Yes.
Brooke (06:53):
Do
Colette Mason | Clever Cl (06:53):
yeah.
Brooke (06:54):
in teaching?
What inspired you to wannacreate AI archetypes?
Colette Mason | Clever Clog (06:59):
I'm
a master NLP practitioner and
I'm a hypnotherapist'cause I'mquite a bad certificate junkie.
And so, and I was interested inhow mines worked and a lot, I'm
a quite an optimistic person andlots of people would come to me
for advice and I thought, well,maybe I ought to learn a bit
more about minds and thatcombined with sitting next to
people for a very long time whenI was doing IT support, I had a
(07:22):
really good understanding ofwhat, what makes people get
things a little bit wrongwithout really noticing.
And I thought of these seventypes of, of things that I'd
seen either myself doing, if I'mhonest, or I'd seen other people
struggling with them.
So, for instance, one of theexamples I've called this person
a juggler and they've got lotsof tasks that are about 90%
(07:42):
finished.
And it's nearly done and the AIwill say, oh, wouldn't it be
really good if we just amendedthe slides that go with this,
you know, with, you know, withyour voiceover or whatever.
And, oh, and then you startwandering off and fixing the
slides and the voiceover's notquite finished.
And then, oh, we better tellpeople this is on.
And then you're doing an emailjob.
And so for the jugglers,although it's being helpful and
making sure they don't drop theball, it's actually putting more
(08:03):
pressure on them, starting offmore jobs that aren't quite
finished, and it's so easy.
It's comes up with these tinylittle good ideas that you
think, oh, don't take me fiveminutes to do that, and by the
end of the day, nothing'scomplete.
So that was one of my first onesthat I identified that I'd
certainly felt with it, whenit's always trying to be helpful
at the end of a chat.
(08:23):
Lots of bad things can happen atthat point.
Brooke (08:26):
I relate so much to that
because I get pulled in so many
different directions.
Right now, I'm, I'm a bit of asolopreneur, as they call it,
Colette Mason | Clever Cl (08:36):
Yeah.
Brooke (08:36):
and I'm using AI as my
co-pilot every day, but it is
always pulling me and suggestingall these different directions
to go.
So how do you overcome that?
Colette Mason | Clever Clo (08:48):
Some
things I do with people is I
always like to train thingsrather than rely on prompts
because otherwise, you know,it's, it's gonna guess and it's
gonna guess wrong.
So things you could do would beto upload your priorities for
this week, this quarter.
And so, and you can sort of sayand, and tell it you've got the
tendency where you tend towander off and so.
You know when you're wanderingoff and it will hopefully say to
(09:10):
you, well, we were supposed tobe working on the website
wording today, not logos, comeback to what you're supposed to
be doing.
So if you keep reminding you andit to stay on track, then I
think you get better results.
And, and once you've found outwhat these problems are, you're
less likely to make the mistake,you know?
Although it's like a bit of aforehead slapper and it's
obvious, you think, ah, yeah, Ido do that.
And I just need to be aware.
(09:31):
I don't move on to somethingelse until the thing that's on
my post-it note is, is finished.
Brooke (09:36):
Beautiful.
I'm gonna make that note andmaybe update my instructions for
my GPTs.
Colette Mason | Clever Clo (09:43):
When
I talk to people about what do
you want this thing to do, Ithink it's important to say what
you're good at and what you'rebad at so that it can give you
the right amount of support.
So the, the opposite of ajuggler is somebody who will, is
a relentless machine, and theywill compete.
Every task there, but they'lldo, and then they'll complete
that task and then the next taskand then, and then it's three
o'clock in the morning and theAI's going, oh, and now we can
(10:04):
move on to this.
'cause it doesn't get exhaustedlike you do unless you hit your
subscription buffer.
There's no end to the amount ofthings it'll say.
And now we'll do this, and nowwe'll do this.
And so, but at least theWarriors complete things, but
they have the same poor qualityof life because it gives them so
many potential things to do.
Brooke (10:22):
Is that one of the other
seven archetypes?
Would you
Colette Mason | Clever C (10:24):
That's
one of my other, the others,
okay.
Yes.
Um, The next one I've got is thevisionary.
Um, And I see this a lot when Igo to the entrepreneurial
conferences, a speaker will saysomething, the person who I'm
sat next to will suddenly thinkI'm gonna pivot my whole
business.
Because if that sentence thatthat person on stage just said,
and the AI can say to you.
Oh have you, have you looked atit this way and, and you think,
(10:46):
oh, I haven't, or, or, whydidn't you make a course out of
this book?
You could sell the course andmonetize your knowledge better,
and you think, oh, I could do acourse.
I've never done one before, butlet's go.
And the book doesn't getfinished because there's this
huge big project, not a tinylittle, send that email reminder
type project, and it's so allconsuming and you don't want it
to fall out of the back of yourhead.
That you know, you need to sayto your assistant, can we just
(11:08):
jot down the framework of howthis works?
I'll park it somewhere in aGoogle doc, and then I'll, then
I'll go back to what I wassupposed to be doing.
And then you've got the luxuryof storing that light bulb that
could be really effective, butyou are not got that sinking
feeling of, oh, I should reallybe doing the shiny thing.
It makes you stay on what you'redoing.
The next people are the tweakersand they, they're
(11:29):
perfectionists.
They like external validation.
They'll be the sort of personwho would print out a project
and then say to their colleague,oh, could you just go through
this?
I'll put the kettle on.
Tell me what you think to myPDF.
And they, they speak to the ai,go, let's make this slightly
better.
Let's make this slightly better.
And it will always find animprovement, won't it?
So you need to, in thatsituation, it's handy to say,
(11:51):
um.
this is 98% good enough, and itexists and it's ready to go, and
it can be perfect in your mind,but nobody will find out about
it.
So you can encourage it to letyou send things out, even if
it's not pixel perfect orwhatever your, you know, your
foible is for detail.
So I like to build avatars in myassistance so that you can say,
(12:12):
you know, would, would abeginner find this the right
level of detail?
Or, you know, is it interestingenough?
Is the pacing okay?
And that can help with thosetweaker traits.
It's just like pulling the fruitmachine going, oh, I need to get
three of the same.
And you keep pulling it, pullingit, pulling it till all your
time's gone rather than yourmoney.
So that's my next one.
Uh, The next people are hermitsand they are the sort of people
(12:35):
who are building, you know,they, they're wondering what
strategy to take.
So it's not necessarily adeliverable, like a new webpage,
it's more, you know, should Iget into public speaking or
should I start a podcast and youhaven't really got a sounding
board to say, what, what wouldbe good for me?
And if the hermits get a bitlost, and then they'll start
Googling for, well, which isbest, and then half a day
(12:56):
disappears.
And I think it's helpful forthem to say, I'm, you know, I
need some help with likelaunching a podcast and bring in
somebody like Mr.
Beast to talk to you and giveyou some ideas on how to capture
attention with a with a podcast.
Um, There's just a couple more.
There's the Escapists.
The escapists want to automateeverything.
They hate computers.
They hate um, they want freetime.
(13:17):
They want pina coladas on thebeach.
But unfortunately the escapistsprobably aren't the people who
can automate things'cause itneeds quite a lot of technical
skill.
You've, you've got to model whatyou do.
You've got to build what you doin reality and then you've gotta
check, it doesn't fall over.
And if it does fall over, youmight have to fix it really
quickly.
So there's a lot of technicalmoving parts there.
(13:37):
And I think automation's beenavailable for 30 years.
Everyone's sort of, you know,Zapier for tens of years.
So these tools have been there,but people didn't use them'cause
it was difficult.
And if you think, well, AI'sgonna help me automate
everything by Tuesday, if you'venot done it before, then you
haven't got those muscles yetand you.
It probably won't.
So those are the escapists andthe final one are the
(13:59):
architects.
And they're always buildingsystems and tweaking them.
So I'll use the example, youknow, they're building a swan
sanctuary for white swans, andthen they suddenly see a black
swan, I think, oh, that swancould get really hot in the sun.
I better build an extra swanshelter for the black swans.
And then there'll be anotherrequirement, and another
requirement, and anotherrequirement.
And it never gets finished'causethey're building for all these
(14:22):
tiny little scenarios that mightnot happen.
And I think it's important for,again, for the ai, like the
perfectionist to step in and go,well we're looking after, you
know, a thousand swans.
If one of them gets a bit hotthen they'll have to lump it.
And it's the same with yoursoftware projects.
Um, But it, you know, it isdifficult to do'cause you want
to build a robust thing.
And I think having thepermission to sometimes not be
(14:43):
absolutely perfect is quite anice sort of added bonus of
having an assistant.
Brooke (14:49):
Wow.
I feel like I just sat through abit of a AI business therapy
session.
That was wonderful.
I could see myself in some ofthose, if not all of them.
And it's such an interestingtime because a lot of people are
stepping into that space ofbeing entrepreneurs for the
first time, building apps forthe first time.
(15:13):
And I could see how each andevery one of us could get caught
up in one of those spaces.
Colette Mason | Clever Cl (15:19):
Yeah.
Brooke (15:20):
so much for, for diving
into that.
And going back to automation,you said automation takes not
only technical skills toautomate it.
But then we need to like buildit.
We need to, write out this stepby step.
And then there's the managingprocess.
And I'm at that point my AIimplementation where I'm
(15:44):
weighing these pros and cons ofDIYing it or paying a
professional.
Then it comes to those likemonthly reoccurring fees to have
it sustainable.
So curious if you can touch alittle bit more on how you've
been able to support foundersand the type of collaborative
(16:05):
efforts that you're bringingforth.
Colette Mason | Clever Cl (16:07):
Okay.
Um, Let's think.
So one example would be somebodywho was doing a lot of trauma
work and very difficult subjecton social medias, nobody's
going, that happened to me.
And so you haven't got that youknow engagement to push you
along when you, when you'recreating content every day to
get known and get people in yourfunnel and your free lead
magnet.
(16:28):
And so the first thing I did forher was I helped her build a
content plan and then to makethe content to go in it, which
sounds kind of, well yeah.
But that freed her up enough tostart a PR campaign and she
ended up on national televisionfor 10 minutes so it wasn't just
the content creation, it was theextra brain power to do
something else, which was reallyhelpful.
(16:49):
So that would be, that would beone example.
Another example on the creativeside of things is somebody's
doing public art sculptures andthey need to get materials and a
place for this art to be, theyneed to speak to officials and
material suppliers, the localcommunity, lots of different
people to speak to.
And they've used the AI to speedup doing that process, so then
(17:12):
they're not so drained when theyactually meet people in person.
That's another, another example.
In my own life, I've used it,I've saved the government, you
know, 130,000 pounds in a weekby going what features are we
using at the moment intoauditing how a business works?
And sort of told the ministers,no, you can't have your hobby
website with four pages on itfor 50,000 pounds a year.
(17:35):
It's not a good use of money.
And so I've helped to look, lookfor savings for people because
they can't always afford a VAthey can't always afford.
But some of the tools I seewhere there's, there's a tool
that where you can have a, asurvey with somebody and it'll
give you a report at the end ofit saying, well, you are this
type of person and it was 99pounds a month for this thing.
(17:55):
And I thought, well, all it'sdoing is a quiz and, and put in
the scores at the end.
And I didn't really think it wasa good value for money, so I
used my assistant to build that,which has saved me 1200 pounds a
month.
So I do a little audit to workout which of those profiles you
are, and that would, you know,that would've been 99 pounds a
month.
And I built it with Sheldon withquite a lot of coffee, swearing
(18:16):
a biscuits in a day.
So that was a good, that was aday rate of 1200 pounds, I
guess.
So that's, you know, I thinkreplacing a lot of the tools is,
is quite a good, a good thing todo.
Mm-hmm.
Brooke (18:29):
sharing those case
studies.
I, I love hearing stories of howit's actually being implemented
so that people can becomeexpanded in their own business.
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(18:50):
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Let's bring it back down topersonal more with you of how
you first started implementingai.
(19:11):
I know you've been in this spacefor quite some time where maybe
you can kind of just bring us tothe present day and
Colette Mason | Clever Cl (19:16):
Yeah.
Brooke (19:17):
is your, what does your
day to day look like with AI as
your co-pilot?
Colette Mason | Clever Cl (19:20):
Okay,
so the thing that got me into it
was during COVID, I startedwriting fiction books as
something you could do at home.
I ended up doing quite well atthat.
I sold a million pounds worth ofbooks, which was quite good,
considering I didn't like thesubject matter at all.
But I'd done lots of computerdocumentation for big companies,
and so I was used to wranglingwith boring documents, and so I
(19:41):
had to start using the AI towrite books three years ago.
They're only just about startingto do it reasonably well now if
you know what you're doing.
In terms of uh, what I do withit now.
I use it a lot for confidence,decision making certainty.
Been using it for, I've beenfeatured in the press twice this
week, so I've been using it tofind news articles.
(20:03):
It was about when we'll be ableto use AI as a financial advisor
rather than just looking at youknow, investment documents and
working out, if it's spendingmoney on rainforest
deforestation, things you don'tagree with, that's fairly easy.
But actually work, working witha portfolio is about five years
away.
So I got featured in twonewspapers about that last week.
(20:23):
So it's helping me researchthings, fact check things in
multiple places.
I used different AIs to factcheck each other and go, oh,
this is created in that tool.
I bet you could do better.
And it really, like, it reallyresponds to that.
Um, so there's been a lot ofpositioning things.
I've, I've done the 18assistants and got the, dragged
(20:44):
the testimonials outta people,even though, you know what it's
like.
People love what you've made,but getting the testimonials out
and they go to ground andwithout the testimonials, it's
really hard to prove you, youknow?
'cause so many people arejumping on AI when they haven't
got a clue so gathering thetestimonials, nagging people for
testimonials, got automated.
And then consulting with peopleto put in assistants.
(21:04):
So I have to interview them,work out their requirements,
build the assistant to matchtheir strengths and weaknesses
and their business goals, theirbackstory and values is quite
important, I think a lot a lotof people in my circle use story
telemarketing, so you've got toteach it the stories for that to
work properly.
So I ask them about, the Hillthey call it the hill, they you
wanna die on here in the uk, sowhat's the hill you wanna die
(21:26):
on?
That goes in the system so itcan speak up for you a lot
better.
So it's, you know, working withpeople in that sense.
Brooke (21:32):
How many clients do you
have at one time?
Colette Mason | Clever Clog (21:35):
Not
too many hopefully.
I think uh, my years of supporttaught me that that's not the
best place for me to be.
But I'd say about five, at 10on, I think I, I built eight
assistants in one go.
So eight at once was, was, um itwas good to prove I could do it,
but I I wouldn't be running themevery quarter, let's say.
Brooke (21:53):
So now you have an AI
assistant or a agentic
marketplace where you have thesestereotypical agents that do
certain things that you sellpeople on.
Is that how it works?
Mm-hmm.
Colette Mason | Clever Clog (22:06):
put
that in, um, in a spreadsheet
and then that can becometraining, a distill version of
training, and then I can alsoadd in some more things to help
them.
So that's how I, that's how I dothose uh, in terms of building.
Yeah.
Brooke (22:19):
So I was just curious on
how people purchase your
services or products.
Colette Mason | Clever (22:24):
Alright.
Brooke (22:25):
Self living or is it
more like high touch?
Is it something that they justcan go in and buy an assistant
or an agent and, use it day today?
Colette Mason | Clever Clog (22:33):
So,
Brooke (22:33):
work?
Colette Mason | Clever Clogs (22:34):
so
I did it um, one to one and word
of mouth.
Really.
I'm in the lucky position that Idon't need a huge, you know,
empire.
I can do this as a lifestylebusiness.
So you know, maybe 30 people ayear would be plenty.
I'm not looking to do 800, youknow, people a year.
It wouldn't be for me.
So it's all referrals really.
And I think because I have towork with them so closely to get
(22:55):
the best result, I have to havequite a good measure of who they
are.
But I am gonna do some automatedversions um, where they can just
fit in there the onlineinterview, and then that can
become a fairly basic assistant.
I'm thinking more for, you know,companies with, I don't really
want to do it with the peoplewho are quite tech savvy already
because they've usually builtsomething with duct tape and,
(23:17):
and cardboard and it's like theydon't wanna move away from it.
Whereas it's much easier to workwith somebody who's not really
used AI at all.
Now they've not had thatsounding board experience.
So I think small business ownersrather than the ones who are
constantly online, are thepeople to, to go to next.
So I've been going to expos in,in London to try and network
with more, more people and, andthe press coverage again helps
(23:40):
them find me.
So, and then um, I've done theusual things that you do with
like, the book and the course tosort of replace yourself in that
way and I can gift that, youknow, to charities or I could do
good with it.
And that, and then it can justbe a regular commercial thing
that I offer.
Yeah.
Brooke (23:55):
Wonderful.
I always like to hear howdifferent people are embracing
this consulting with AI and techspace that's so booming and
growing right now.
Tell me a bit about pitchingyourself.
How, how did you find successwith that?
I know that's been a bigquestion that listeners have had
(24:16):
recently is PR and, and pitchingthemselves and getting placed in
in media.
I'm curious how you were able toget those two newspaper spots
response.
Colette Mason | Clever Cl (24:25):
there
is.
So I joined a group called uh,NewsPage Media, and they're
based in the UK an ex tabloidjournalist and another
journalist with probably 30years experience.
And they.
You know, PR can be reallyexpensive, you know, sort of
10,000 pounds a month for someof the best companies and for,
for a lot of us, that's just notfeasible.
(24:46):
You don't even know if you, if Ibought a 10,000 pound server, at
least I've got something to showfor it.
Whereas media, it may or may notcome off.
So I, I did it that way.
There's a quite good, there's agood group called Light Bulb,
which is um, six pounds a monthin the uk.
They have an American versionand you can, and it's full of
journalists and real people.
So not representatives of peopleand assistants.
(25:07):
It's proper experts and thejournalists.
And I've had a friend who's had40 pieces of coverage in there.
She's a physiotherapist ex armymajor.
Uh, So that was so light bulbwould be a place if you wanted
to do it that way.
And then I think you've gotta befairly opinionated.
You gotta have sound bites'causeyou're only gonna get a small
piece of small feature.
So it's, it's that sort of pithyjournalist type way of speaking
(25:31):
is something you have to have towork on.
I think having a press pack isuseful, so every time you do get
some coverage, whether it'sappearing on a podcast like this
or a guest blog you're a guestexpert in a group, start
building all those up to showthat you've got credibility and
authority.
Pair that up with thetestimonials as well.
And then concrete proof so I cansay how much I've speeded people
(25:54):
up by or what, how many problemsI've solved for them.
Try and try and make itnumerical so it looks good on an
infographic.
And I think a lot of people getsucked into exposure dollars
with people who want, you know,just not, they want mates rates
'cause they're a friend andthings.
So I think you have to be quitea bit tougher than you you might
want to be when you first startout.
(26:15):
Hmm.
Brooke (26:16):
You touched on building
infographics and and press kits,
and you shared a little bitearlier about just comparing
different LLMs to each other and
Colette Mason | Clever Clo (26:27):
Hmm.
Brooke (26:28):
them against one another
to get the best results.
Could you share more?
I assume maybe perplexity mightbe one of the tools that you
use.
What's your quote unquote techstack look like?
Colette Mason | Clever Clogs (26:38):
So
I use Claude the most for
writing.
But but I get very frustratedwith its hard limits on the
chat.
I've just about to hit my limitfor the week, which is a new
thing they seem to have put in,unless I've been a really heavy
user this week.
They seem very limiting.
I guess.
They, they want to be moreprofitable.
They've got a very small marketshare, so they have to watch the
(27:00):
pennies a bit more, I guess.
Um, So I do like Claude for itswriting style, but it gets it,
yeah, the limits.
But ChatGPT can go on forever,but it wanders off because it
can go on for so long.
It'll, it's like when you're aboy Scout over here and you're
taught to navigate to a place,you navigate a little bit to the
left, and then if you go off offtarget, then, you know, which
(27:20):
side the lighthouse you'reaiming for is.
Whereas AI can just wander offand you can, you just dunno
where you're gonna end up.
And I think ChatGPT does that alot.
So, and I find Gemini doesn'treally listen to what you're
saying at all.
It's it.
It's a bit of a, of a highmaintenance diva.
I think I find Gemini quitedifficult, but it's very good
for fact checking.
(27:41):
But I find, so when I'm doingthe press releases, I've found
Gemini's the best for, you know,did the IEE really say this
about electricity usage orwhatever I was looking up.
So I found Gemini good for that.
I've not bothered so much withperplexity, Comet or, I just, I
think you can lose a bit of timeworking out how other platforms
can work really well for you.
(28:01):
And sometimes it's easier tohammer away on a slightly slower
one that you know really wellthan look for a silver bullet
and a better one somewhere else.
But I've got fairly standardtasks to do, so I'm quite lucky
in that respect.
There's a, you know, it'susually just text, text, no
video or audio things to do so Ican, you know, I don't really
have to find anything tooexotic.
Brooke (28:19):
Thank you for sharing.
I think it's just interesting tosee what different
Colette Mason | Clever Clo (28:23):
Hmm.
Brooke (28:23):
towards.
I agree.
I think it's important to keepit simple.
I've also seen have seen thattrend where it does seem like
they are starting to watch theirpennies a little bit more across
the
Colette Mason | Clever Cl (28:35):
Yeah.
Brooke (28:36):
The beginning of this
year, it was a little different.
The answers were different and,it seems like it pauses a lot
more and it reaches capacity toreally produce good answers.
I've seen a shift in that in thelast handful of months.
Colette Mason | Clever Cl (28:50):
Yeah,
I think certainly when, when
ChatGPT five was launched, itwas meant to have a router that
put people to, that used.
'cause I, I would imagine peoplewere always using the Rolls
Royce model to do a simple task.
And so I could understand whythey put it in, but it didn't
work for the first 48 hours Ithink.
Brooke (29:06):
Yeah.
Colette Mason | Clever Clog (29:06):
And
so everyone got really
disillusioned because they, theydidn't think it was, you know,
working very well.
And even now it's supposed towork better.
I'm not convinced it was as goodas, as four was for the tasks I
was using it for with a lot,especially with the website copy
coming up with blog ideas andmodeling avatars.
I found it was really good forthat.
But now not so much.
Yeah.
Brooke (29:26):
I agree so.
I think the term you used wascertificate junkie,
Colette Mason | Clever Clo (29:32):
Yes.
Brooke (29:33):
certificate junkie.
I find that so funny because Ialso feel every three to five
years, I find myself wanting toreally reinvent myself and
gravitate towards just alwaysupskilling or learning whatever
my curiosity is following inthat moment.
Colette Mason | Clever Cl (29:51):
Yeah.
Brooke (29:51):
What's next for you?
Because a lot of people thinkthat this, even consulting um,
and AI is a bit of a bubble and,you know, the AI and tech and
how we're gonna automate thingsis gonna be so different in the
next couple years.
What do you feel like is nextfor you?
You, you've been an author, youhave such a, an amazing
(30:14):
background.
What's exciting you now?
Colette Mason | Clever Clogs (30:17):
I
have got some AI qualifications
to do'cause I fact they can getsome letters after your name for
like two of those.
I thought that'll be good.
So I was going to do thoseanyway, again, just to separate
me from the people who, who aregood marketers who don't know
that a mouse has got two buttonsto it.
Like I don't wanna be lumped inwith them.
So I'm not too sure.
I think I quite like following.
(30:37):
You know, how, how it's going towork.
So I was looking at theelectricity usage.
So I think a Gen AI is gonnause, for example, 15% of Japan's
whole power requirements.
So that's what, and then in 2030it's going to use all of the
power that Japan would use forone year to power all the data
centers.
And that's a huge amount ofresources and electricity.
(30:59):
And when I see people with poorprompts and creating terrible
videos on Sora just puttingtheir face on something because
they can.
And I did a quote um, a figureyesterday uses 2,776 times more
energy to do.
A video that's gonna sink downon Facebook.
'cause everyone's gonna thinkI'm not one of those, but I'm in
(31:21):
Sora videos again.
It just seemed to me a completewaste.
And I think, and I'm quiteconscious that some people are
gonna get left behind and partof me wants to speak up for,
let's use this for good and Iwant to research using it for
good things and maybe more of a,a thinker in that, in that
sense.
And helping people use it forthe best for them.
Brooke (31:44):
I did see that open AI
just put out its own free prompt
pack and suggested a bunch ofprompts,
Colette Mason | Clever Clo (31:51):
Yes.
Brooke (31:52):
specifically with that.
So,
Colette Mason | Clever (31:55):
Mm-hmm.
Mm-hmm.
Brooke (31:56):
into it yet personally.
I did interview a gentleman inGermany who founded this company
called POMA.
And we spoke a lot about justthe environmentalism impacts and
to your point, yeah using aRolls Royce to, to ask really
simple questions.
And I agree.
(32:17):
I think a lot of people are veryhaphazardly and even since that
conversation I had with him,I've noticed I really need to
jump into ChatGPT?
Can I really just Google thisnow?
Especially with AI summary.
And how can I tone theseresponses?
'cause for some reason it'sgotten to a habit to give me a
novel with every response, whichis just overwhelming to me.
Colette Mason | Clever Cl (32:40):
Yeah.
Brooke (32:41):
but on the opposite end,
using a lot of energy.
Colette Mason | Clever (32:44):
Mm-hmm.
Yeah.
Brooke (32:46):
Well, the next question
I wanted to ask, which kind of
is in tandem with where you'regoing at next, is just a fun
question
Colette Mason | Clever Cl (32:54):
Okay.
Brooke (32:55):
everybody since we're in
this time where we can create
anything.
If you were to build somethingtomorrow using ai, if you were
to create an app or a completelynew project what would you wanna
create?
Colette Mason | Cleve (33:09):
Something
that's been on the back burner a
bit is travel road trip travelplanners for people in camper
vans.
'cause I love exploring places.
I just did a 2000 mile one acouple of weeks ago.
And, and I, I sort of helpedplan it out with the tools
saying what I was interested inand I like to go off the beaten
track a bit.
And so I was thinking of one ofthe things in the UK I like to
(33:30):
do most is going to the placesthat nobody else really goes to.
'cause you've done Oxford andCambridge and Canterbury and
York.
And then, well, what do you dofor the next 50 years of your
life, you're gonna have to go toanother place.
So I, I was thinking of lookingat a region and saying, right,
give me something you could doon a Friday afternoon all day,
on a Saturday and a Sundaymorning, and then you travel
home and it automatically createtwo half days and a full day
(33:53):
plan for whatever you, whereveryou wanted to go.
'Cause,'cause I do a lot oftraveling.
And uh, but have it that I'dprobably have that as a printed
book, get the AI to help meorganize it a bit like having a
courier organizes the mostefficient route for parcels.
It's like, well, what's the mostfun route you could organize?
So it could, it might beslightly longer road, but it
might be more interesting road.
So I thought, yeah, I'll have adabble with that just as a fun
(34:15):
project.
Brooke (34:17):
It's very creative and
fun, and I could see a lot of
people really gravitatingtowards that.
I remember I was in DC about ayear ago, and I decided to
really lean into ChatGPT to planmy every step of the way and
tell me the best route forwalking.
I let it know if it was raining,and it was just my co-pilot as I
(34:39):
was traveling.
I love, I love a vista point andtaking the, the longer,
beautiful route so I could seepeople
Colette Mason | Clever Clog (34:46):
Um.
Brooke (34:47):
Towards that.
That's beautiful.
I listened to a lot of Gary Vee,who is a bit of a futurist when
it comes to just consumer trendsand also this age of the
solopreneur and everybodyleaning into creation.
Colette Mason | Clever (35:01):
Mm-hmm.
Brooke (35:02):
he always just talks
about how those are the, you
know, the very niche personalthings that are gonna explode
and leaning into that anddeveloping and creating things
like that are going to truly bethe way people are making money
in the
Colette Mason | Clever Clo (35:16):
Yes,
I think so.
I think COVID taught us howimportant it is to be with other
humans.
Um, We're seeing that, you know,AI's replacing people a little
bit on social media and we aregetting, you know, like we used
to have banner blindness whenthe back in the shouty days of
the internet with all theseanimated banners moving around
all the time.
I think we can see fake contentalong way away.
And I think Ernst and Youngcommented on it last week
(35:38):
saying, well, people just seethere's no like person behind it
and they just scroll on.
They scroll on past and don'tthink it's worth it.
So I think if you can somehowcombine uniqueness and and
connecting with you as a personin some way, like authors could
put people's names in a book orsomething like that, it's, you
don't have to meet them inperson, but you can make a
really personal and niceconnection.
(36:00):
I think being able to make thoseproducts that connect with a
person will work quite well.
And use AI just to scale it,because once somebody does it
really well, they'll, they'll doit faster than you.
So you've gotta get in first andyou have to do that use AI to
get in first these days.
So.
Brooke (36:17):
Absolutely.
Well, Colette, we went so manydifferent directions in this
conversation today.
I would love to round it outwith you to share what's one key
takeaway you would likelisteners to have from this
episode.
Colette Mason | Clever Clog (36:32):
Oh,
crikey.
Um, I, I, Well, I'd probably saytake the time to train your
assistant rather than giving itreally long prompts.
Having to start cold every timeyou start something, really
think about who you are, whatyou do, what you stand for, what
you sell, what pages are on yourwebsite, what your social media
links are.
Try and give it as muchinformation as possible so that
(36:55):
it doesn't make as manymistakes.
You get less frustrated, you getthings done more quickly, and it
uses less resource.
Brooke (37:02):
I love that key
takeaway.
What's the best way for peopleto connect with you?
How should they reach out?
Colette Mason | Clever Clogs (37:08):
So
I've got the website,
cleverclogsai.com.
I'm going to start usingLinkedIn a lot more, so you can
find me on LinkedIn.
And I've got a substack as wellwhere I've been putting some
ideas about, you know, universalwage and, you know, how, how
society's gonna transform.
So that's on a, a Clever ClogsAI substack as well.
So if you just want to get someinformation, you can go there.
Brooke (37:30):
Love that.
I'll tag your substack in thedescription and, and show notes.
It's something that's been on mymind to get into and I've seen a
lot of people gravitate towardsthere lately.
Colette Mason | Clever Cl (37:41):
Yeah,
I think it's got, it's already
got an audience and I thinkpeople, people who put the
information on there, it's a bitlike medium, I think they, they
think about what they'republishing, so it's got, it's
got a good reputation when youget there, I think.
So I thought, yeah, I'll make ahome there.
Brooke (37:54):
Well, thank you so much.
I really enjoyed this talk and Ican't wait to share all about
the archetypes with everyone.
It's so fascinating.
Colette Mason | Clever Clo (38:02):
Yes.
Yeah, you can do the little teston the website and it'll tell
you what your archetype is.
So you can find out, it's justthe four questions to answer, so
it's, it's really quick.
Yeah.
Brooke (38:10):
I'll do that next.
Colette Mason | Clever Cl (38:11):
Okay.
Lovely.
Thank you very much.
Brooke (38:14):
Thank you.
Take care.
Wow, I hope today's episodeopened your mind to what's
possible with AI.
Do you have a cool use case onhow you're using AI and want to
share it?
DM me.
I'd love to hear more andfeature you on my next podcast.
Until next time, here's toworking smarter, not harder.
See you on the next episode ofHow I AI.
(38:36):
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(38:56):
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