AI Empowered Fundraiser Live

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0:01 so hey everybody uh good morning or good
0:03 afternoon or good evening depending on
0:06 where you are right now and what time it
0:08 is um when you watch the replay um if
0:11 you're not here live um welcome um gosh
0:16 this this is probably G to be a little
0:19 bit of everything but we're certainly
0:21 gonna try to keep it on the rails of um
0:25 ai ai learning um Ai and
0:29 nonprofits uh the GPT store um and in
0:34 particular why and
0:37 how
0:39 everyone should not be on the sidelines
0:42 anymore but should be fully engaged in
0:46 what our future is going to be when AI
0:49 is as ubiquitous as oxygen and as
0:53 absolutely
0:54 necessary and I have one of my mentors
0:57 and I call Kyle my gateway drug to AI
1:01 [Music]
1:03 Kyle Shannon um uh and I'll I'll ask him
1:07 to introduce himself um in more detail
1:09 but um the one of the reasons why I
1:12 wanted to bring Kyle on is to introduce
1:16 you all from my communities if you don't
1:20 already know Kyle to him and to the way
1:23 that he is teaching how to learn AI
1:28 because that's really the thing that
1:29 I've learned the most is how to approach
1:32 it we learn about new tools every day we
1:35 learn about new techniques every day but
1:37 really the thing that I've taken away
1:38 from getting to know Kyle is just how
1:41 important it is to have a beginner's
1:43 mindset the fact that no one is an
1:46 expert and so it's okay to show up and
1:49 like not really know what the heck
1:51 you're doing it's okay to show up and
1:52 not even know what chat jpt is what open
1:55 AI is what a large language model is
1:57 what AI even is and Kyle will give you
2:01 an onramp to that um all you got to do
2:05 is show up on
2:07 LinkedIn every night like Kyle but even
2:10 Tik Tok every night sorry sorry Tik Tok
2:13 only Fridays um and so I'm gonna turn
2:17 Kyle I'm gonna turn it over to you and
2:19 have you do a little intro of yourself
2:21 I'm gonna check on LinkedIn to make sure
2:23 that we are everything is going smoothly
2:26 okay great
2:27 fantastic um so hey everybody uh yeah my
2:30 name is Kyle Shannon I'm an entrepreneur
2:32 and a um I guess an AI Community Builder
2:36 although that seems kind of squishy and
2:39 weird to me but but um my my
2:42 entrepreneurial background um I'm a
2:45 Storyteller by training I have a degree
2:46 in acting I moved to New York City out
2:48 of school to pursue a life in the Arts
2:50 um started and ran a theater company
2:52 wrote a bunch of screenplays uh and then
2:54 in the mid 90s um discovered the
2:57 worldwide web and kind of stumbled on it
3:00 and it was very very early um it it felt
3:04 a lot like what this AI stuff feels like
3:06 now and I co-founded agency.com which
3:09 was one of the first digital agencies
3:11 and I created Urban desires which was an
3:13 art and culture magazine which was one
3:15 of the first art and culture magazines
3:17 on the internet uh and then I also
3:18 started a group called the worldwide web
3:20 artist Consortium uh which sounds really
3:23 fancy uh and it ended up becoming a big
3:25 group but it the impetus for starting
3:28 the group was I knew that there must be
3:31 people that know more about this
3:33 worldwide web stuff than I did so I
3:35 figure if I start a group I'll get
3:37 people in the room that knew more than I
3:39 did and what I learned was that we were
3:42 so early that nobody knew anything that
3:44 everybody was trying to figure it out
3:45 you couldn't get a you know you couldn't
3:47 get a degree in web development you
3:49 couldn't get a degree in Internet other
3:51 than internet protocols right um so this
3:54 was this was a very new thing and and
3:56 what the worldwide web did was it kind
3:58 of opened the power of the internet to
4:00 to normal people people that weren't
4:02 developers people that weren't engineers
4:05 and programmers and
4:06 researchers um so I did that I
4:10 agency.com I was there for seven years
4:12 but uh we ended up building a lot of the
4:14 websites for the Fortune 500 so really
4:17 amazing time to be part of riding that
4:20 that wave up I thought that would be the
4:23 last time in my life that that happened
4:25 turns out that that's not the case um I
4:28 sold that in 200 2 to Omnicom and uh in
4:33 2012 started storyvine which is my
4:36 current company and it's a video
4:38 storytelling platform so had an epiphany
4:41 about short form video back when YouTube
4:42 first came out in 2005 and that became
4:45 Story vine and and uh the last year I've
4:48 been as I've been learning more and more
4:50 about AI um I've been thinking about how
4:54 how I incorporate that
4:55 into you know an almost 12-year-old
4:58 company without throwing the baby out
5:00 with the bath water um which is which
5:01 has been really fascinating at least for
5:03 me and uh and then um over the past year
5:08 uh a week after chat GPT launched I
5:12 started the AI salon and I
5:15 started a Tik Tok Channel because at 58
5:18 Why not start a Tik Tok
5:21 channel so I did that and what the Tik
5:24 Tok channels become has become a nightly
5:27 just jam session with people that are
5:29 curious about Ai and so we have a lot of
5:31 people that show up there regularly and
5:32 we have a lot of people that just pass
5:34 through and then the AI Salon um is is a
5:37 is is a more sort of permanent home
5:40 where you can hang out with other people
5:43 that are curious about this AI stuff and
5:45 to your point an about you know learning
5:47 how to learn this
5:49 stuff again the lessons I'm bringing
5:51 from the worldwide web we're so early in
5:53 this that it feels like oh I've got to
5:56 learn this tool and you know like one of
5:58 the big talking points in 2023 is you've
6:01 got to become a prompt engineer it's
6:02 going to be the job of the
6:04 future and like now we're starting to
6:06 see that as we go into 2024 these
6:09 systems are going to be doing the
6:10 prompting for you you just need to sort
6:12 of know what you want and and a lot of
6:14 the prompting is going to happen so
6:16 everything is Shifting all the time so
6:18 the only way that you can realistically
6:20 be in this game right now is to just be
6:23 in that sort of beginners mindset
6:27 perpetually and just build stuff knowing
6:30 that you're going to what you're going
6:31 to build is going to be crappy it's
6:33 going to be Obsolete and out ofd two
6:36 months or two weeks or two days from now
6:38 that doesn't matter Build It Anyway
6:40 launch it assume it's awesome know that
6:43 it's not and then um Ju
6:47 Just understand that you're sort of
6:49 stepping on a hamster wheel that is that
6:52 is speeding up and and and and that's
6:54 the only thing and and know that you're
6:56 not as far behind as you think you are
6:58 you know more than you think you do and
7:01 and you're never going to be able to
7:02 catch up never like ever like I feel
7:06 more clueless and less educated today
7:09 than I did a year ago and i' it's all
7:11 I've been doing essentially 247 for
7:14 seven days a week for for a year and a
7:16 half
7:17 yeah yes so a couple of like jumping off
7:22 points for me from from your share just
7:25 now like
7:27 I I'm like working my butt off to learn
7:31 all this stuff and I'm so invested in
7:34 like catching up I've had to let go of
7:37 that because it's actually a trap
7:40 because catching up to who catching up
7:41 to what catching up to who to what in
7:44 what in what regard and so like I
7:47 actually was sort of bitter that open AI
7:50 snuck in the announcement about the
7:52 teams thing like here we all we're
7:54 watching for the store and then all of a
7:56 sudden we find out little teams and we
7:58 don't know what we're doing and the
8:00 nerve of them to not tell us or leak it
8:03 or something so that we would know
8:05 within a few hours what the heck to do
8:08 about the teams thing and this is for
8:10 those who who aren't you know obsessed
8:12 with this stuff open AI which is the
8:15 company that hosts chat GPT which then
8:18 led to the custom gpts which then led to
8:21 the GPT store they opened this GPT store
8:25 this week which some people are
8:26 comparing to the early days of the um
8:30 Apple App Store so but then at the same
8:34 time they dropped information about this
8:36 thing called teams where we can all work
8:40 together on gpts and other and chat GPT
8:44 and where our
8:46 information won't be used for training
8:49 the next models it has all sorts of
8:51 other bells and whistles that arguably
8:53 are a bigger deal even than the GPT
8:56 store um but because of my like Journey
9:00 of letting go of being an
9:05 expert I still had it had an attitude
9:08 about it because I was like oh my God
9:10 great now I have to drop everything and
9:11 learn it learn something new and I have
9:13 to start emailing every or you know
9:15 texting everybody and all the slack
9:16 channels to figure out what the heck is
9:19 going on there's there's even a thing
9:20 that they didn't drop that's also coming
9:23 which they're going to add persistent
9:25 memory to chat GPT so it's going to
9:26 start remembering your chats across
9:28 chats yes which is going to be a whole
9:31 another thing like there's a part of
9:32 that that's really good you won't have
9:33 to keep retraining it there's a part of
9:35 that like well wait if I'm just demoing
9:38 a chat to someone I don't want that to
9:40 go into my memory so how do you opt out
9:41 of it so like and that didn't launch so
9:44 like that could drop next week that
9:46 could drop next week and but again
9:49 that's that's the thing where I think
9:52 you really do just have to get Zen about
9:54 this and just keep letting it just keep
9:57 letting it go and just go okay yeah okay
9:59 so I don't know anything again let me
10:01 just learn enough about this to know
10:02 what to pay attention to and maybe maybe
10:05 that's kind of the skill right now is
10:07 just be educated enough to kind of know
10:09 where the boundaries are and then just
10:11 play Within the boundaries play Within
10:14 the boundaries and I think one of the
10:18 things that people could consider as
10:20 they kind of customize or curate their
10:23 learning on AI is to choose a couple of
10:27 thought leaders to follow and choose a
10:30 couple of tools to go kind of deep into
10:35 and to use the lens of your own use
10:38 cases the things that are thorns in your
10:41 side or opportunities that like make you
10:43 stop and go oh my God I could this is an
10:47 area for me to grow as a person an area
10:51 for me to grow my business grow as a
10:52 thought leader grow grow grow grow as a
10:55 um you know as a member of Civic Society
10:58 so that's one thing I would recommend
11:01 and and while we're here Kyle I think
11:03 it'd be helpful for us to let people
11:05 know who we learn from um so why don't
11:09 you share your list of folks who you
11:12 find most um informative for you I've
11:15 got I've got four that I recommend
11:17 pretty consistently um first one is
11:19 Ethan mullik who is uh Wharton business
11:22 school Professor um he's got a Blog
11:25 called um one useful thing is it one
11:28 useful thing I think it's one thing .org
11:31 um but Ethan mullik you should follow
11:32 him on LinkedIn you should follow him on
11:33 Twitter and you should follow him on the
11:35 on his blog he posts mostly daily um and
11:39 really insightful stuff he cites studies
11:41 things like that next guy is David
11:44 Shapiro on
11:45 YouTube Dave shap D- a VAP p on YouTube
11:51 he's a bit more geeky but about once or
11:54 twice a week he'll do like a like a long
11:57 form presentation on sort of what's the
12:00 world going to be like when AGI gets
12:02 here and then he talks about what AGI is
12:04 and what the implications are so if you
12:06 want to geek out he's got open source
12:07 projects you can join he's very
12:09 technical but his higher level stuff is
12:13 very well thought out he just did one it
12:15 on the impact on education like what
12:17 happens to education when AGI gets here
12:20 really interesting dude um then you've
12:22 got Paul rater R OE TZ ER from the
12:26 marketing AI Institute um the marketing
12:29 I institute was started five years ago
12:31 and considering that chat gpt's only
12:33 been here for for a year they were way
12:36 early so he's very very thoughtful about
12:38 this stuff and then the the fourth one
12:40 is Rachel woods from Tik Tock who uh is
12:43 very much about AI operations and
12:45 bringing AI into your business in a
12:47 responsible way so those are the those
12:49 are the four that I follow perfect I'll
12:51 share a couple a couple Reflections on
12:54 those folks and then um a couple more
12:55 that I've started following um so Rachel
12:58 Woods is her community is called the AI
13:01 exchange and that is a very rich
13:04 Community for learning including the
13:05 fact that um they do member-led Jam
13:08 sessions so that brings a ton of
13:10 diversity into the learnings and they
13:12 have courses so for example I learned
13:15 the master prompting method through that
13:18 course which taught me all sorts of
13:20 things that I didn't know it's it's a
13:22 little bit it's pretty sophisticated
13:24 like let me put it this way if you
13:26 understand the master method you can
13:28 modify it you can write really you know
13:30 cheap and cheerful prompts and get what
13:32 you want or if you need to do something
13:34 sophisticated you have the skills to do
13:35 that in the format and Etc and you get
13:37 to try them out with other people who
13:39 are learning at the same Pace that you
13:41 are so that Community is really awesome
13:44 um I'd also add I have for some reason I
13:48 haven't um dove in with David Shapiro
13:51 I'm going to especially because the
13:53 education piece um but I like tried to
13:58 focus and so so um Ethan mik is one of
14:02 my like absolutely everything he writes
14:04 and drops I read um Paul rer absolutely
14:08 I'm actually going to the conference in
14:11 October in
14:12 um um Cleveland yeah so that's really
14:16 cool um I also follow Connor grenan
14:19 closely I find his stuff to be super
14:22 relevant like it's not too high level
14:24 it's not too like not just practical
14:26 it's like right there in the middle um
14:28 and relevant to hire at his you know
14:31 he's at NYU um as a professor in I in
14:35 the business school maybe
14:38 management and I love his stuff and I
14:40 love the people who follow him as well
14:42 so like on LinkedIn his comment section
14:45 tends to be like I feel like my people
14:47 My Level and stuff so that's really good
14:50 and then I wanted to share share oh the
14:53 AI breakdown is a podcast I listen to
14:55 every morning before I even get out of
14:57 bed because I work with so many people
14:58 on the East Coast toast and Nathaniel
15:00 drops those every single day there's a
15:03 seven minute version and then there's
15:05 like a 15minute version and I just kind
15:07 of get my like quick hit and again never
15:10 to feel like an expert but at least I
15:11 feel like I'm not behind the eightball
15:13 when I wake up um because I'm on the
15:15 west coast so and then a new one that I
15:19 think has a lot of legs that people can
15:22 get in on the ground floor and help
15:24 shape the content is um this guy who is
15:29 um on LinkedIn his name is Dan Sanchez
15:32 he just launched a podcast called AI
15:35 micro
15:36 skills and that kind of goes back to
15:38 what I was saying about you know using
15:40 your own most important use cases so his
15:43 take is you know there are a lot of
15:45 people out here talking like high level
15:48 right and a lot of people talking about
15:49 like why it's bad but where the kind of
15:52 Gap can often be is like how do you
15:55 actually use this stuff like tell me
15:57 what is the name of the company what is
15:59 the name of the website what are you
16:01 doing with it and so he had me on to
16:04 talk about applications in the nonprofit
16:07 sector which by apply to everybody else
16:09 you know I talked about you know
16:11 recording meetings and doing meeting
16:14 followup and blah blah blah so that's
16:17 one that's kind of neat for people to
16:18 get on they have it's on Spotify and
16:20 it's on YouTube and on LinkedIn so
16:23 that's AI micro skills and is Dan I got
16:27 you inspired me I've got one more
16:29 what is it so there's a guy he's not an
16:32 AI guy necessarily but Robert scoel um
16:35 on on
16:36 Twitter um he's been he's been kind of a
16:39 tech a tech leading voice and just sort
16:42 of you know Tech commentary for for
16:45 decades he was a an apple Fanboy um but
16:49 what he's done is he's got all sorts of
16:53 lists so if you go to Twitter and you go
16:54 to Robert scoble and go to his lists
16:57 he's got ten or 11 or 12 lists of like
17:01 AI companies AI CEOs you know uh AI
17:05 thought leaders whatever he's got all
17:06 these different um AI artists AI
17:09 musicians um so just go find his lists
17:12 and follow those lists if you wna if you
17:14 want to up your Twitter game just go
17:17 follow list like that and then you can
17:20 also set up tweet deck on on Twitter on
17:23 X um which which is this column based
17:26 thing where you can make each one of
17:27 these lists a Colum
17:29 and so you can have a single dashboard
17:31 of all these different feeds basically
17:33 pre oh my gosh yeah wait let me write it
17:37 in the chat what's that how do we find
17:39 that yeah tweet deck nobody knows about
17:41 tweet deck and he's always talking about
17:42 it Twitter acquired tweet deck years ago
17:45 so I think it's I hang on let me see
17:48 what it
17:53 is so while you are doing that I will
17:56 share um the there are a couple of
18:00 principles from the AI Salon that have
18:03 been particularly meaningful to me and
18:05 one of them is inclusion and how
18:08 important that is for all the work that
18:11 we do and sometimes what that looks like
18:13 in my life is sharing about AI in spaces
18:18 where I know I'm not winning any friends
18:21 by talking about it and being I think
18:26 it's being willing to say the stuff that
18:30 people don't want to hear uh an example
18:33 for me has been you know I I've been
18:37 paid to write my whole life I've been in
18:39 we could call it a writing
18:40 apprenticeship my whole life right I
18:42 went to college I went to grad school I
18:45 then got a job that's marketing adjacent
18:47 or do fundraising I always have to write
18:49 effectively and people have paid me to
18:51 perfect that
18:52 craft I've begun my grieving process
18:56 it's not that the written word is not
18:58 continuing to be important but what I
19:01 generate from the depths of my soul from
19:04 the recesses of my intellect is not as
19:08 valuable unless it is unless it provides
19:11 insights and knowledge that can lead to
19:13 second order thinking and most of that
19:17 can be significantly up leveled by
19:20 working with large language models Y and
19:23 so you know if you if you link it into
19:26 like how AI is being used in education I
19:30 think that's a critical component so
19:33 inclusion in education involves totally
19:37 changing the way that we teach and I get
19:40 that and I empathize with my colleagues
19:42 in higher ed I empathize with people who
19:46 have made their bread and butter by
19:48 writing and encourage everybody to start
19:51 thinking about like real fast what that
19:53 means for your career and we have a
19:55 question about careers here but what
19:57 does that mean for your career and a use
20:00 case that I'll provide is we've started
20:02 working with writers who are trained in
20:05 AI who are um shifting their careers we
20:10 are now hiring the those people to work
20:13 on our content we are not hiring anyone
20:16 and we're just a little organization
20:17 like we're just a little company but
20:19 we've already gotten to the point where
20:21 it's actually not affordable for us to
20:23 hire people without generative AI skills
20:25 because then we have to teach them yeah
20:28 and and you also have the turnaround
20:30 time is you know 10 times as long or a
20:32 100 times as long right so
20:35 so I that idea of you know being AI
20:39 literate right now is going to get you
20:41 jobs in the next 18 months just because
20:44 you're AI literate we used to joke in
20:45 the 90s that if you could spell HTML you
20:48 could get a job right and I feel like
20:50 it's it's even easier now if you can
20:52 spell AI you can get a job right because
20:55 increasingly people are going to be
20:56 looking for not just some someone to
20:58 come in and do the work but someone
21:00 who's got that mindset of oh you're
21:02 paying attention to this because I'm not
21:04 can you come in and help us pay
21:06 attention to that so I I think that's
21:09 that's a big thing to the to the
21:10 inclusion and the diversity and the
21:12 empathy
21:13 thing why I think that's really
21:15 important is that a lot of people are
21:18 afraid right now a lot of people have
21:19 their guard up right that they're
21:21 they're afraid of AI they think the
21:23 robots are going to kill us because
21:24 Hollywood told them so um they think
21:27 they need to be a Stanford meth ician to
21:29 be able to do AI so that I'm not smart
21:31 enough so so they a lot of people have
21:33 the defenses
21:35 up in talking with them empathetically
21:38 like taking them in and say yeah I get
21:39 that you're scared can I just show you
21:41 something cool and just in spite of
21:43 knowing that they don't want to hear it
21:45 showing it to them anyway what will
21:47 happen is one of those guards will drop
21:50 and then they'll actually go look at it
21:51 and go oh I didn't know it could do that
21:54 or I didn't know that's what it was oh
21:56 this is really exciting and then all of
21:58 a sudden one more person isn't scared
22:00 and that's it's kind of the whole point
22:01 of of my Tik Tok Channel and the AI
22:03 Salon quite frankly is to create a safe
22:06 place where people who are curious about
22:08 this can come and invite other people
22:11 who might not be as curious to come and
22:14 and in a safe way not be judged that
22:15 they're just beginning not be judged
22:17 that they don't have a math degree from
22:19 Stanford right you can I I've got a
22:22 degree in acting you can even have that
22:24 and be welcome in our
22:26 community theatricals wel
22:30 yeah exactly exactly um let's see so yes
22:36 the other thing that I wanted to
22:37 highlight um is empathy and that's
22:40 actually where I have found on my
22:42 journey I fall down I I don't I need to
22:47 do some personal work on this but I find
22:50 myself less and less empathetic to the
22:54 naysayers and um but I'm working hard
22:58 I'm
22:59 consciously yeah I yeah my strategy has
23:02 just been acknowledge whatever their
23:05 cynicism is and essentially just ignore
23:07 it and keep talking just ignore which is
23:09 not super empathetic but you know I at
23:11 least acknowledge it so it's in the
23:13 neighborhood of empathy yes yes it's in
23:15 the neighbor it's empathy empathy
23:18 adjacent um one of the reasons why I got
23:22 into this whole thing and one of the
23:24 like primary core values of the that I
23:28 founded with other AI leaders called
23:30 light magic AI we um are here because
23:35 we're passionate about upending the
23:37 power structure knowing that so many of
23:39 the people who have power and proximity
23:41 to power are not going to be the early
23:43 adopters meanwhile those of us who are
23:48 hungrier for that power potentially or
23:51 willing to show up and make fools of
23:53 ourselves right like some people in
23:55 positions of power they literally cannot
23:57 show up and make a fool themselves they
23:59 must be the smartest person in the room
24:02 whether they've trained themselves to
24:03 that to be or their stake their their
24:05 stockholders need them to be that way
24:07 yeah um but by putting these tools in
24:11 the hands of people who have been
24:14 marginalized and allowing them to do all
24:19 the things right to choose their own
24:20 path and to start providing them with
24:22 like like coaching on how to craft a
24:25 career out of this stuff I think that is
24:27 where we're going to see
24:29 one of the most cataclysmic changes in
24:32 our society and it's what we're like
24:34 super excited about yeah totally yeah
24:37 that's that's one of the things I'm most
24:38 excited about because it's all you have
24:41 to do is sort of get over the hump of I
24:45 can't do this or this thing's evil or
24:48 like you just need to try it and then
24:51 when you try it within whatever it is
24:53 five minutes a half an hour the first
24:55 hour you'll have what we lovingly call
24:58 your Kevin mallister
25:02 moment and then when you have that you
25:04 really can't go back from it like you
25:06 actually understand oh it can do that
25:09 yeah wait what else can it do certainly
25:11 it can't do what I'm expert at oh it can
25:13 do that too and then and and then at
25:16 that point then you discover you've got
25:18 access to this world of knowledge and
25:21 this world of
25:22 skills that that this thing can level
25:25 you up on and I think for people that
25:28 you know have been disenfranchised the
25:30 the the amount of level up is
25:33 proportionally higher in fact Ethan
25:35 mullik one of the studies that he cited
25:38 basically said within an
25:40 organization they gave access to chat
25:43 GPT to all the
25:45 players and they all leveled up
25:47 significantly but the underperformers
25:50 leveled up like two and a half times
25:53 what the high performers did so it
25:55 basically you know brought the low
25:58 performers up in parody with the high
26:00 performers like that's massive that is
26:03 massive that's massive so kind of um
26:07 jumping off here to address one of the
26:09 questions in the um in the comments
26:13 so those people are now GNA find
26:17 themselves as go-to resources for people
26:22 at all AI literate people the AI
26:24 literate people right the ones who have
26:27 gone from here to here because they've
26:29 they've taken they put in the work to
26:32 learn how to use the tools they're going
26:34 to be the ones who spot the janky
26:37 content right they're gonna be the ones
26:39 who go to a colleague um I can tell you
26:43 cut and pasted that straight from chbt
26:45 it has the word the words unleash Beacon
26:50 it uses Symphony
26:52 metaphors
26:54 exactly like come talk to me I'll teach
26:57 you a couple of my hacks with chat GPT
27:01 now you're in conversation with people
27:04 above above you in an organizational
27:07 chart so to Grant's question it's basic
27:10 but that's one of the ways that you can
27:12 grow your career is being in proximity
27:14 to people who historically you may not
27:17 have and who are now putting you in
27:19 their minds in the box of expert right
27:23 in the box of someone who's very very
27:25 helpful the analogy I'll use
27:28 is a lot of us who've been employees
27:31 probably and who are like you know gen
27:34 xish um probably remember an era where
27:38 you learned who in your organization
27:41 didn't know how to use
27:43 Excel right you're like there's the
27:46 people who know how to use Excel and
27:48 then there's the people I want to work
27:50 with right there's the people who don't
27:51 know how and then there's the people who
27:52 can get done yeah it's like that
27:55 but on steroids it's like that but on
27:57 steroids I like Hunter canning said
27:59 Enigma mine is always Enigma yeah it you
28:02 you will absolutely feel like an enigma
28:04 right now where people will tell you
28:06 they're tired of hearing this crap they
28:08 they will they will you know say ah we
28:11 can't do that here
28:13 um just lean into being the Enigma lean
28:18 lean into doing it the other thing that
28:20 that I'll I'll share and that um one of
28:24 the things that that strikes me about
28:27 this stuff is anyone that I knew know
28:29 that is AI literate that's using these
28:31 tools
28:33 regularly they don't use it like
28:36 Google meaning meaning when you first
28:38 start using it because it kind of looks
28:40 like a Google search box um you just
28:43 type in your prompt and you expect an
28:45 answer and so one of the early mistakes
28:46 is you type in your prompt write me a
28:48 business letter or write me a blog post
28:50 and it gives you a blog post and you
28:51 copy and paste it because that's how
28:53 we've used Google in the past right give
28:55 the prompt do the thing this isn't like
28:58 that everyone that I know that uses this
29:00 it's more like chat GPT is is a
29:03 collaborator and there's a lot of Back
29:05 in Forth right give give me a thing read
29:08 the thing oh that's kind of crappy in
29:09 fact I just did for Cindy she's
29:12 working on a book project and I took a
29:15 um a talk that I gave I took the
29:17 transcript of it I had chat GPT um
29:20 translate that transcript into an
29:22 outline for a chapter of a book then I
29:25 had it write the chapter of the book I
29:27 thought oh that's really good except it
29:29 was missing some little detailed stories
29:31 so I had to put brackets in where I'd go
29:33 fill in my detailed stories when I
29:36 actually started adding in my stories I
29:38 essentially rewrote the entire thing
29:41 from the ground up I kept almost none of
29:43 what chat GPT wrote other than the
29:45 skeleton because as I started to add in
29:48 real writing I was like oh well this is
29:50 redundant now oh it's actually repeated
29:52 this thing three times like there were
29:53 just big chunks of it that I just copied
29:54 and pasted and threw out right and so
29:57 it's the the work is almost always like
29:59 that right now I think over time it will
30:02 get more automated but right now it's
30:04 still very much a collaboration with the
30:10 tool totally agree I'll share like how I
30:14 gosh I mean to to talk about the whole
30:17 Arc of how to use AI for a project like
30:20 that is too too much like that could be
30:22 a five hour lesson but I will share that
30:26 like one of the things that I like to do
30:27 is just organize the thoughts and ideas
30:31 into headings so let's say you've got a
30:33 talk that you've given and an article
30:37 and you know some emails you wrote to
30:39 random people about a particular concept
30:41 put all that stuff in the chat jpt and
30:43 just say what is this what's the thread
30:47 here what are the headings right like
30:50 because sometimes I don't even know like
30:53 what my point
30:55 is what's the thesis of this this like
30:58 what's the takeaway and we do that we
31:01 consider it one of our like boring use
31:04 cases but boring is our word of the Year
31:06 boring use cases is you know taking our
31:09 meeting transcripts and talking to them
31:13 because it's such a huge level up like
31:15 yeah like um we did a session yesterday
31:19 with Suzanne um Welker Jurgens and Kelly
31:24 camp and I took the transcript from that
31:27 and I created a download for everybody
31:28 on how to make your gpts better and I'll
31:31 post we had 20 recommendations just
31:33 baked in there and it did it in what 30
31:36 seconds and now you know my coordinator
31:38 is making it look nice yeah take a
31:41 couple minutes and now there's a
31:43 resource that everybody who's into the
31:45 GPT store can use it's the thing it's
31:48 the thing that I think is the it's the
31:50 most
31:51 under under talked about thing that chat
31:53 gbt does everyone talks about it writing
31:56 stuff because I think that's the fan
31:57 fasy is you push the button and it makes
31:59 crap right yeah what it's really good at
32:02 is analyzing other stuff you've got and
32:04 and you know sort of reformulating that
32:06 other stuff you've got you know the
32:09 program is called it refactoring the
32:10 code right we're going to refactor it
32:12 from this to that well you can do that
32:14 with writing as well right refactor from
32:16 transcript to blog post Bang there it is
32:19 or to recommendations really good at
32:21 that so a concrete use case for people
32:24 who historically haven't been in
32:27 positions of appr proximity to power is
32:28 to raise their hands right to say
32:31 formally like I want to be part of
32:33 creating a framework for our company for
32:36 how we use Ai and how we don't use AI I
32:39 want to be part of um an AI Council
32:42 which Can Begin by you putting an hour
32:45 on your own calendar and thinking about
32:48 this then you can add one person then
32:50 you can say to your your bosses and your
32:52 colleagues hey here are some things that
32:54 we've been batting around can we have
32:57 you know can can can we do like a lunch
32:59 and learn and just share and and it goes
33:03 from there and then all of a sudden you
33:05 know the vice presidents are talking to
33:08 you yep and now and that may happen
33:11 sooner than later like the minute you
33:13 start talking about this stuff you don't
33:14 know who's listening and you don't who's
33:17 you don't know who is like trying to
33:18 figure this stuff out because this is
33:20 again back to the early days of the web
33:23 a lot of times in in the very early days
33:25 you know someone come in ah we want a
33:27 web
33:28 like okay why why do you want a website
33:29 well I was golfing and my buddy Bob you
33:31 know he runs this big company and he's
33:33 got a website so we need a website right
33:35 and so that's gonna start happening with
33:37 this
33:38 AI that that someone's like oh you gotta
33:41 get into AI we're not into AI who knows
33:43 anything about AI I don't know Sally was
33:46 talking about it the give me Sally you
33:49 know they won't know who Sally is but
33:50 all of a sudden Sally's meeting with the
33:52 CEO or some VP um where where they
33:55 wouldn't have before so yeah that that's
33:57 the the value of just being the Enigma
34:00 is that as as people get hungrier to
34:03 figure this stuff out they're going to
34:05 look for experts oh this is something I
34:06 wanted to say about
34:08 that to the person in the AI salon and
34:12 in my AI Tik toks to the
34:16 person everyone that has come in and
34:18 said oh I got tapped on the shoulder to
34:21 go be the expert to go give a workshop
34:23 to go give a webinar to go talk to the
34:25 VP to a person they've all said I don't
34:29 think I'm ready I'm not a leader I don't
34:32 I'm not an expert why did they pick me
34:34 because you know more than they do even
34:38 if it's this much more don't discount
34:41 the fact that if you know this much it's
34:44 way more than most people know I'll give
34:46 you a stat McKenzie just released a
34:48 report two months
34:49 ago um at the beginning of
34:52 2023 87% of people had not used chat GPT
34:58 so we had a year to use it at the end of
35:01 2023 it had gone from 87% haven't used
35:05 it to 82% haven't used it so that means
35:08 18 one 18% of people have used chat BT
35:12 which means at least half of them
35:16 haven't used it they used it once and
35:18 never again right so so we're talking
35:20 singled digigit people even know what
35:22 chat GPT is right and and so as little
35:27 as you think you know 90% of the people
35:30 out there no
35:32 less so just forgive yourself for not
35:35 being the expert just go be the expert
35:38 and literally you just showing them
35:40 here's how chat GPT works write a poem
35:42 make a table write some code those three
35:45 um parlor tricks will blow people's
35:48 minds right yeah we're the fifth graders
35:52 to the fourth graders like that's that's
35:56 totally Yeah well yeah you don't need to
35:59 be a a PhD student you can just be fifth
36:02 grade good no because the fourth graders
36:04 are just panicking right now I wish I
36:06 could be as cool as the fifth graders I
36:08 wish I could be as cool as the fifth
36:10 graders they have you know back in the
36:11 day like the Welcome Back Cotter
36:14 lunchboxes yeah um so can you say a
36:17 little bit more about how you think
36:19 people will level up in their careers
36:22 and also become more valuable on a
36:24 personal level that to Grants question
36:27 which he also added do you suppose it's
36:30 like 10% input 80% GPT 10% editing so
36:36 maybe talk a little bit about writing as
36:38 well okay um okay so two two very
36:43 different things I I'll come back to the
36:44 GPT one because that one's really
36:46 interesting um yeah the leveling up
36:49 thing is fascinating so I think here
36:52 here's what
36:55 shifts if you're a Lial Arts
36:58 major and for your entire career you
37:00 have not been valued because you're a
37:02 horizontal thinker and the real the the
37:05 real valuable people are the vertical
37:07 you know tactical execution people the
37:10 Specialists that script is about to flip
37:13 the implications of that are is you may
37:16 be good at one or two things you know at
37:19 sort of a 100% of your capacity and then
37:21 there's three or four things where
37:22 you're at 80% and then there's a bunch
37:24 you know it goes down it's a bell curve
37:26 right
37:27 what AI allows you to do is level up on
37:30 things that you were really horrible at
37:33 to like an 80%
37:35 degree um so I would say if you're
37:37 thinking about Reinventing yourselves
37:39 one of the possibilities with AI is that
37:43 um you get to now choose if you want to
37:46 do a career that you maybe couldn't have
37:50 gone back you would have historically
37:51 had to go back to school for right
37:54 because oh I don't know enough about
37:55 history but I really want to do this
37:57 history thing well now you've got access
37:58 to all this knowledge you could probably
38:00 do that job now so I would say if you're
38:03 thinking about leveling up your career
38:04 don't just think about what your career
38:06 is right now but what it could be what
38:07 are your interests what are the things
38:09 that really turn you on and and maybe
38:12 you really love making art but you're a
38:14 horrible artist well now you can make
38:16 good art so so that's that um just just
38:21 expect to level up in in lots of areas
38:23 not just
38:24 one with the GPT writing thing so it
38:27 it's almost what you said
38:30 Grant what I find with chat GPT is chat
38:33 GPT or you know insert your large
38:35 language model here will get me to 80%
38:38 of what I want to create within about
38:40 five
38:42 minutes getting from 80% to the 100% is
38:46 not just like 10% effort it's like so if
38:49 I have two hours set aside for writing a
38:53 piece in the olden timey world you know
38:55 2022 and before
38:57 in the olden timey world that two hours
39:00 would have been taken getting me to the
39:02 80% and maybe to sort of 90% like the
39:05 two hours would have taken me to get to
39:07 the first draft what I'm finding now is
39:10 that I get to that first draft within
39:12 about five minutes and it still takes me
39:15 two hours to finish the piece because
39:18 because it got me there so fast that
39:20 maybe it gives me new ideas or or maybe
39:22 I go oh wait a minute this one area is
39:25 not researched enough let me go do some
39:26 research on that so I'm doing that in
39:28 chat GPT and then I'm adding that to it
39:30 and then all of a sudden I've got this
39:31 Frankenstein creation that there's a
39:34 story somewhere in there and so it's
39:37 still net taking me about the same
39:40 amount of time for for significant piece
39:42 for if it's short stuff that's much
39:44 quicker but if you're talking about like
39:46 a significant writing piece takes me
39:48 about the same amount of time but
39:51 it's much well structur it's much uh
39:56 much better in its structure it's much
39:58 better in its content it's much better
40:00 in its scope than it ever was in the
40:02 past but it still takes the same amount
40:04 of work it's just it's at a very
40:06 different level so that's been my
40:08 experience similarly like I used to be
40:13 obsessed with my work product like the
40:16 thing that has been written is the thing
40:18 of beauty now I see
40:23 that as
40:25 a it's like a piece of a portfolio of
40:29 commun it's I'm looking at it as like is
40:31 it effective communication or was it
40:34 just a piece of writing like did I move
40:36 anything did I change anybody's mind did
40:39 I start something or move something
40:41 forward versus it's just a bunch of
40:44 really good writing what I consider my
40:47 work product is the work that I'm doing
40:50 with chat GPT or another language model
40:53 it's it's my prompt that allows me to be
40:56 an eff Ive Communicator again and again
40:59 and again right so not just your but
41:03 also also the critical thinking of once
41:07 you've done the prompt looking at the
41:08 output and just putting your critical
41:10 thinking mind on it right and and you
41:14 know improve improving it even outside
41:17 of the
41:20 prompting for me for me the critical
41:23 thinking thing is is the that becomes
41:26 the the new superpower so I do critical
41:29 thinking to say here's the kind of story
41:31 I want to tell then I jump into chat GPT
41:33 I generate some crap then I look at it I
41:36 put my critical thinking hat back on and
41:37 I'm like is this good or not no it's bad
41:39 and
41:40 historically I wouldn't just throw
41:42 something out if it was bad because it
41:44 would have taken me another two hours to
41:46 get to the next first draft so I just
41:48 kept working on the crappy thing you can
41:50 go generate a thing Ah that's not the
41:52 right thing but it's Clos but let me try
41:53 something else throw that out try
41:54 another one oh that's it right that's
41:57 that's all that's all the thinking in
41:59 between the prompting that I think is
42:01 where the skill is or or where the skill
42:03 of the future where the value is where
42:07 the value is like and and those of us
42:11 who are dabbling in this and willing to
42:14 have it not work right this is a this is
42:18 a good segue into talking a little bit
42:21 about the GPT store and the GPT for good
42:24 challenge because um those of us who are
42:26 willing to do it and have it not work
42:29 are going to be able to communicate more
42:33 effectively and more consistently right
42:36 we're GNA be able to be you know how
42:39 sometimes like at at least you know in a
42:41 work environment you kind of have to say
42:43 the same thing over and over again yeah
42:46 well and in marketing it's like you know
42:48 you got to tell them you gotta you got
42:49 to tell them what you're GNA tell them
42:51 you got to tell them you got to tell
42:52 them what you told them like yeah how
42:54 about the opportunity to not invest
42:57 not feel like attached to an outcome
43:00 because you didn't spend four days
43:02 working on a marketing plan you just did
43:05 it right and like with with Grant's
43:10 question to how do you make yourself
43:12 more valuable on a personal level an
43:14 example that I'll use is is much like
43:17 that not feeling attached to the outcome
43:20 of whatever I've done planning a weekend
43:23 adventure for my family where I know
43:26 that I'm GNA have to pitch it right like
43:29 once everybody gets out of bed I'm GNA
43:31 be like we're going to the coast but now
43:36 I've spent some instead of getting all
43:37 the guide books out and doing all the
43:40 research on Open Table and what is the
43:42 weather and all this stuff I very
43:44 quickly put in you know so and so didn't
43:48 bring boots so and so want clam chowder
43:52 so and so won't go in the car for more
43:55 than 60 minutes and still have a good
43:57 day blah blah blah and then I get an
44:00 itinerary that I've already I've beaten
44:02 them to the punch and because I didn't
44:05 spend all that psychological energy on
44:07 it I'm like if they don't want to go
44:08 that's cool we can change the plan so
44:11 that's an example Grant I use it in my
44:13 personal life to add value and then
44:15 mom's happy when you know happy wife
44:18 happy life like I'm not bitter because
44:21 yeah yeah yeah they didn't love my
44:24 itinerary I spent a week on yeah exactly
44:27 the other
44:28 thing the other advantage of doing that
44:32 kind of work an is
44:35 um the the troubleshooting that you did
44:38 to get the Family Planning itinerary
44:40 right the next time you do something for
44:43 work you'll run into the same problem
44:45 you're like oh I know how to solve this
44:46 I just solved this last week with the
44:47 kid like the the the problem Sol solving
44:50 skills are transferable so it it
44:53 literally doesn't matter what activity
44:55 you're doing in AI it will will serve
44:56 you at some point in the future so just
44:59 do stuff with it like start with a
45:00 problem and say how can I solve with AI
45:03 and just and maybe you fail and I would
45:06 also argue if you spend two hours trying
45:09 to solve a problem with AI and fail and
45:12 have to start over with not AI I would
45:15 argue that that that's two hours better
45:17 spent than just solving it in the first
45:20 place without AI that what you will have
45:23 learned in learning what it can't do is
45:25 as valuable as learning what it can
45:28 do 100% And I would be surprised if you
45:32 spent two hours and didn't have your
45:35 Kevin mallister moment
45:38 exactly um so can you talk a little bit
45:42 about the GPT for good challenge that we
45:45 did and then let's talk a little bit
45:46 about gpts in general and the um and the
45:49 store and before we do that you asked
45:51 about the QR code this is my favorite
45:54 GPT oh so if people want to try it it's
45:59 um it is a thank you letter generator
46:01 for fundraisers that can also be used as
46:04 like a congratulations letter A
46:06 condolence a thank you for a friend but
46:10 it's optimized for donors and I would
46:12 love to have people use it and send me
46:14 feedback at the very end it gives my
46:16 email address so give it a whirl um it's
46:20 it's showing up when you put um if you
46:23 didn't have this QR code you would put
46:26 fundraising thank
46:28 you note and when you hit when you put
46:33 thank in it should come up and it will
46:35 say buy empowered fundraiser in in the
46:38 GPT store in the GPT store if you have
46:41 it and you can use this if you have GPT
46:45 plus yep GPT plus cat GPT plus and how
46:48 you get there if you go to chat GPT if
46:50 you haven't been to the chat GPT store
46:52 it doesn't say GPT store click on the
46:55 explore GP G pts button that will take
46:57 you to what they're calling the GPT
46:59 store and it's not really a store it's
47:01 more like a directory and it's a crappy
47:03 directory but that's a whole separate
47:04 conversation let's talk about GPT for
47:06 it's
47:08 horrible it's it will get better just
47:11 you know right now everything is
47:13 janky so GPT for good so within the AI
47:17 Salon people were getting very very
47:19 excited about making gpts and and the I
47:23 was I was also showing people how to
47:24 make them on my Tik Tok lives one of the
47:27 things that struck me that open AI did
47:31 better than everyone else so far is they
47:33 made in my opinion the first true no
47:37 code application developer so you've got
47:40 things like zappier and make and bubble
47:43 um and and even uh creating bots within
47:47 po all of those tools even though you
47:49 don't need to learn a programming
47:51 language you need to you need to
47:54 understand programming logic to be able
47:56 to stick the Lego Parts together and
47:59 understand what an API is and all that
48:00 sort of stuff what open AI did was they
48:03 they put a front end on it they put an
48:06 interface on it where you can literally
48:08 just say I want a GPT that educates
48:11 people about hedgehogs and it will make
48:13 you a hedgehog specific GPT it is it's
48:17 like it is truly no
48:19 code and then in talking with you an one
48:22 of the things that you said is there's
48:24 such fear in the nonprofit space that I
48:26 you and I both recognize that these AI
48:29 tools the the amount of impact that they
48:32 can have on organizations that are
48:34 chronically underst staffed is like like
48:37 astounding right and but what you said
48:40 is every time you talk to these there's
48:42 so much fear there they're not even
48:44 willing to try it so so the idea with
48:46 the GPT for good challenge was could we
48:49 in a 24hour period inspire people to
48:53 just try making a GPT we'll teach you
48:56 how to do it we came we came up with a
48:58 little cheat sheet for how to do it and
49:00 then you and I
49:01 alternated every 3 hours over a 24-hour
49:04 period and gave these little classes and
49:07 the AI Salon Community came together and
49:10 created 150 gpts for nonprofits in that
49:14 24hour period it was absolutely
49:16 remarkable I still don't think I've
49:18 caught up on my sleep um but but really
49:21 really inspiring and and I think the
49:22 thing that was most inspiring for me is
49:25 how many people intended to come to one
49:28 or two sessions and make one or two gpts
49:31 that came to like a lot of the sessions
49:33 and made like a dozen gpts or 20 gpts
49:37 like just absolutely amazing so you know
49:41 that that that was it and I I just you
49:43 know I'm so glad we did
49:45 it me too and it was real Revelation for
49:49 me at a at a time when I was starting to
49:51 feel a little bit worried like man
49:54 what's it going to take you know for
49:56 people to adopt because I like to I'm
49:58 thinking about 2024 as like the year of
50:01 adoption but then I started to think ah
50:03 maybe I'm a little bit you know
50:05 polyana but what I learned through the
50:07 GPT challenge was a little bit more of
50:12 what it takes to overcome some of the
50:16 worry which by the way I I do empathize
50:19 with the worry um with the worry and
50:22 some of the like frustration barriers
50:25 that people might hit what I learned is
50:27 that having a purpose for doing
50:31 something is critical so like if you if
50:34 you do start with like you know
50:36 something that you actually need to have
50:37 happen like you need an itinerary for
50:40 your family because you're going to a
50:41 place that you've never been before and
50:43 everybody wants to be well fed or
50:45 they're going to be crabby or blah blah
50:46 blah so you have a purpose for it and in
50:48 our case it was nonprofits and people
50:51 came to the table with the things that
50:53 they were utterly passionate about
50:55 whether it was you know animal rescue or
50:57 Alzheimer's disease or cancer or missing
51:01 persons or domestic violence or like
51:04 tools for nonprofit workers to use so
51:07 they all had a purpose and that was why
51:10 we had people who were literally on with
51:12 us for 24 hours there were five people
51:15 who came to pretty much
51:17 everyone so did you hear what happened
51:20 to
51:21 TK what she got she got offered
51:24 executive director of the firef
51:26 Museum no she didn't
51:29 yeah sh well she said I got offered role
51:33 of Ed at the firefighters Museum because
51:36 because of what she did in the GPT
51:40 challenge so TK is this amazing leader
51:45 and and she has a a a multigenerational
51:48 connection to fire safety including
51:51 she's on the board of this firefighters
51:53 Museum in her um in her region she came
51:57 to the table with a headful of steam
51:59 ready to make gpts to support this
52:02 nonprofit which she did and they were
52:04 fire and um another pun intended they
52:09 were fire pun intended of course um and
52:13 um she also won the prize which was a
52:16 $250 gift to the
52:18 museum whoever won the prize the raffle
52:20 so man she won she winning she yeah so
52:25 hi freaking love see that's the thing
52:28 like we're seeing those kind of
52:31 connections right and left and not to
52:34 not to diminish like like it's every day
52:36 like
52:38 TK who knows she she she earned it but
52:42 that there's another there's another
52:43 benefit to to doing AI stuff for other
52:48 people is that it takes the pressure off
52:51 you to become the master of AI right
52:55 right if you sit down in front of chat
52:57 GPT and just see that that bar and know
52:59 that it can do anything it's very
53:01 intimidating but if you have a friend
53:03 that's trying to start up a crocheting
53:05 business and they're stuck on how to
53:07 come up with a name for the business
53:09 whatever it doesn't matter what it is if
53:10 you say hey I can help you do that you
53:12 know I'm trying to learn AI do you want
53:14 me to help you come up with that and
53:15 we'll do it together oh sure that would
53:17 be great it takes the the attention off
53:19 you and you learn so much more because
53:23 they will have you problem solve things
53:25 you wouldn't have done on your own so
53:27 it's just so there's there's there's
53:29 even a selfish benefit for you know put
53:32 put the attention on someone else
53:34 they'll get some really good benefit out
53:36 of it but you'll get all this learning
53:38 so yes oh my goodness gracious that like
53:43 made my day slash weekend oh my
53:46 goodness um okay so that was the GPT for
53:49 good challenge and the GPT convos
53:51 continue so if folks on this call or on
53:54 the replay want more information
53:55 information about gpts and how to build
53:57 bangers go look at a video from
54:00 yesterday where I interviewed two of our
54:03 friends from the AI salon on how to make
54:05 really good gpts particularly for the
54:09 store so we are crowdsourcing a GPT for
54:12 how to make
54:14 gpts but we're we also made a PDF of how
54:17 to make them specifically for the store
54:19 for
54:21 example keywords are critical so I
54:25 changed the name of mine just so I could
54:27 have fundraising as the first word
54:29 interesting and then I bumped up in the
54:33 searches interesting before that I was
54:35 calling it personal lovely thank you
54:37 note or something like that not getting
54:40 me anywhere um another one is uh for
54:44 sure a call to action so if you're using
54:47 your GPT as like a front door for people
54:49 getting to know you if you include your
54:52 contact information a call to action and
54:54 maybe even a link to another
54:57 GPT you're building a relationship with
55:00 people and along those same lines I
55:03 after our conversation yesterday made
55:05 some edits to my GPT because um Kelly
55:08 Camp recommended giving yours more of a
55:11 personality more of a voice and so I
55:14 went in and changed the language in my
55:16 GPT to how I would talk to a friend on a
55:21 weekend rather than I'm here it was like
55:25 hey I'm an I made this for you you know
55:28 if you don't like it cool or whatever
55:30 like that in your prompt or in the call
55:32 to action in my promp yeah so so you got
55:35 the tone of the GPT itself to be more
55:38 close to you I think that's just
55:39 brilliant like anything that takes these
55:41 things away from feeling like generic
55:43 GPT is where they get quite powerful so
55:46 that's awesome
55:48 Yes um let's see I just dropped I
55:52 dropped the link to our website because
55:56 one of the but I don't know if it
55:57 actually popped up but one of the things
56:00 that is kind of an enduring at least for
56:04 now Legacy of the GPT for challenge is
56:06 that we have a free directory of really
56:09 good gpts that can help now you know who
56:13 knows what will be monetized in the
56:15 store but one thing we know from our
56:18 project is that we have a bunch of them
56:20 that are going to be for that will
56:21 always be for free and some of them are
56:23 like oh my gosh so amazing
56:26 so hopefully this went through there's a
56:28 bitly link um that will get you to our
56:31 directory which I don't think it went
56:34 through you might want to try I
56:36 know also we just learned that you have
56:39 comments on yours and I have comments on
56:41 mine which we didn't somehow or another
56:43 know so who knows um so whenever I'm
56:47 looking off screen I'm like leaving
56:50 comments in here and we've got um some
56:53 really good ones so what I'm wondering
56:55 is Okay so we've got three minutes yeah
56:59 and I've I've got I've gotta leave right
57:01 at the top of the hour okay perfect uh
57:04 why don't you talk a little bit about
57:06 like
57:07 um some use cases for Story vine so how
57:11 have you used this to change the change
57:14 some of your um work that you've done
57:18 and I'll share like a couple of use
57:20 cases we had someone ask about where to
57:22 go to find use cases and I really think
57:24 in some cas it's conversations like this
57:27 but I will also add that I have a whole
57:29 big long list if you're interested yeah
57:31 and it it the the the the crappy answer
57:35 to that question is every every use case
57:38 like what again where I would start is
57:40 what's a problem that's bugging you in
57:42 your life try to solve it with AI right
57:45 like you can likely do some major damage
57:49 to the problems you're you're dealing
57:50 with with AI in the case of Story vine
57:53 we have a platform that automatically
57:54 generat generates um authentic video
57:57 storytelling at scale we have an app
57:59 somebody answers questions in an app
58:01 goes up to the cloud it makes a video
58:03 well one of the things that we've always
58:05 wanted to do was be able to leverage
58:07 that video really powerfully so we built
58:09 a tool called the authenticity engine
58:12 where you upload a video you take a
58:13 Story vine video it then creates a
58:16 transcript it chapter IES the video it
58:19 gives you key messages from the video it
58:21 generates a Blog for the video social
58:23 posts hashtags and and pull quotes
58:26 automatically within about 60 seconds so
58:29 we we went from you know you output a
58:32 video to you output this whole world of
58:34 content around that story so anyway it's
58:37 one I have to take off so sorry to leave
58:40 so quickly thank you Kyle and thank you
58:43 everybody for watching appreciate you
58:45 and um I'll see you on Tik Tok tonight
58:47 okay great see you later bye everybody
58:50 bye every