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Welcome to Conversations where today

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we have Mr Corey Cummings , an

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entrepreneur and coach . He is CEO

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of Cummings Solution , which

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works with individuals and organizations

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to identify and realize their full

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potential . His team also works

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with organizations to solve complex

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problems through custom technology

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solutions . For all you . Strengths

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, enthusiasts , Corey leads with Activator

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, Futuristic Ideation , Command

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and Self-Assurance . Welcome

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to the show , Corey . How are you today

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?

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Great Thanks for having me .

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Absolutely . Where in the world are you coming

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from today ?

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North Carolina . Right in the middle of North Carolina

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it's a little small town called Liberty , I

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think .

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We have three stop lights now , so

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we're growing a little bit , so

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yeah , so right in the middle of North Carolina , so

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today we're talking about artificial intelligence

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and I have been trying to understand

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that a little more and I know for

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you as a technologist and a coach

1:00

, you probably have it more figured

1:02

out than me , so

1:05

I'm just learning about it and really going

1:07

to be leaning in here and trying

1:09

to have you explain to

1:11

me , as well as the listeners , a little

1:13

bit more about the space that it

1:15

seems like is top of mind

1:18

for people , and

1:20

part of that is that

1:22

we're confused , right

1:24

.

1:25

Well , I think with coaching there's

1:27

a real , a very

1:30

real human aspect that needs to go into coaching

1:32

, right . So when you're working with a client

1:35

, you're asking powerful questions

1:37

, yeah , you're going through and helping them

1:40

maybe understand , through assessments , some of

1:42

their own personalities , their own

1:44

strengths , those types of things

1:46

. What's scary about AI is

1:48

that you could ask

1:50

the AI tell me

1:53

this person's strengths and

1:55

how does that apply to this person ? So

1:57

a lot of that analysis that we're doing

1:59

manually my word manually

2:01

there AI can do

2:04

for you , right

2:06

. So the fear is okay

2:08

. If AI can do these things , if

2:11

AI could ask questions contextualized

2:15

, then why do you need a coach ? So

2:19

it's the same idea of look

2:21

at McDonald's when they had

2:23

the boards come out you could order on the board

2:26

. Cashiers

2:28

were intimidated because what about us

2:30

? So what does that do for us ? So I

2:32

think that's kind of if I had to kind

2:34

of guess and look into . Maybe

2:37

causing some of that fear is

2:39

where does the coaching profession go

2:41

in the age of AI ? Right

2:44

, and then individually

2:47

, there's for certain

2:49

coaching task , the reality

2:51

is an AI could do it better . So

2:54

analyzing , for example

2:56

, a Clifton Strengths assessment

3:00

would be a great example . You've

3:03

been doing that for years , but for

3:05

some of us that haven't been doing that quite as long

3:08

, being able to upload a

3:10

Clifton Strength profile and

3:13

then just ask questions about it , right

3:15

, help have the AI kind of almost

3:17

use a work-esure calculator to

3:20

go and just really contextualize some of these

3:22

things and give you some insights into

3:25

a person based on a certain assessment . Yes

3:28

, it's scary , but it's also powerful . You

3:31

look at mathematicians when the calculator

3:33

came out right . It's

3:36

a very similar concept and I think it's exciting

3:38

, but it could also be intimidating

3:40

if you let it .

3:44

Yeah , I think when

3:46

I think about it , I think

3:48

about AI as more partnering

3:50

with me to for those tasks

3:53

. Now there's

3:55

a difference when we start bringing into AI

3:57

into the coaching conversation

4:00

whether it be apart from

4:02

us , maybe in between sessions

4:04

or something like that that

4:06

to me , I

4:08

get a little frantic about it . It's like I

4:10

won't know necessarily how

4:13

that's going , or will I . Do you happen

4:15

to know anything about that ?

4:18

I think the question is regarding

4:20

AI replacing

4:23

a coach in a coaching session . Did

4:25

I understand the question correctly ?

4:26

Yeah , so what I've heard of is

4:29

these chatbots . If

4:31

you deploy these , so

4:33

it's in between sessions

4:35

I may show up and have a great session

4:37

with you , and in between I may have

4:40

a chatbot that then maybe

4:42

takes over for the next

4:44

few weeks until I see you again .

4:46

Okay , I understand what you're saying . I think there's

4:49

some power in that , particularly

4:51

if you're working with a client on

4:53

achieving certain goals . Just

4:56

say , for example , that we have a coaching session

4:58

and out of that session the

5:00

client comes up with a . You

5:03

work with them , they come up with a plan to

5:05

go and make it up

5:07

, unless you're what the thing is . But

5:09

we have a four-step process we're going to go

5:11

through together . Some of the

5:13

value I can see is in the automation

5:15

and particularly with AI . If AI

5:18

knows about that plan , being able

5:20

to text them encouraging messages

5:22

along the way , being able

5:24

to check in with them when they haven't have

5:27

you done your devotionals today ? We have a goal of

5:29

creating a consistent habit of

5:33

30-minute devotionals every day . Having

5:35

that checkup in between that , frankly

5:38

, I forget to do I

5:40

think is a powerful tool . I

5:43

wouldn't be intimidated by that . Now

5:46

. What I wouldn't appreciate if the

5:48

AI then tries to do a coaching

5:51

with the client , right , I

5:53

think that crosses a different line , particularly

5:56

when you're not in control of it or you're not aware

5:58

of those things happening . But I think , as

6:00

long as you can kind of understand what's

6:03

going on , what

6:05

the AI tasks are , it

6:07

can be helpful .

6:10

Yeah , I think coaches still need to have

6:12

their finger on

6:14

the pulse of things with

6:17

their clients for sure

6:19

.

6:20

Sure , and then just looking at things like

6:23

you know , if I'm coaching it with

6:25

a client and we're working

6:27

on self-awareness right , so we do

6:29

an EQ assessment and we realize

6:31

there's a challenge here . You

6:34

know there are apps out there now that

6:37

you could actually record . How

6:39

am I feeling today ? You know you

6:41

go from green smiley to red mad

6:43

face , right , and you click a button . Or

6:46

if I'm , throughout the day , start

6:48

feeling upset or I have some

6:50

type of emotional response

6:53

that to something that doesn't feel

6:55

right , I can record that

6:57

I click the button on the app . Why

6:59

am I feeling this way ? I feel blank

7:01

because blank , right . So we're

7:03

kind of recording this and what

7:06

you could do with that data and

7:08

with AI is if that data is being

7:10

saved like somewhere where the

7:12

coach and the client can collaborate

7:14

on that data , right . So we're looking at over

7:16

the past three weeks . I'm seeing a lot

7:19

of red faces at

7:21

3pm on Tuesdays , right

7:23

, and that's where me looking at

7:25

the data . First you got to be able to collect the data , but then

7:27

me eyeballing the data and trying

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to pull information out of it and

7:32

I feed that data anonymously

7:34

. Obviously we want to protect people's identities , but

7:36

, hey , I have a client who

7:38

has , you know this , these

7:40

patterns of you

7:43

know reporting how they're

7:45

feeling , help me find some , make some sense

7:47

of that . And that's where AI

7:49

could come in and say , hey , this person

7:51

on Tuesdays at 3 o'clock is a lot

7:53

of orange faces , right . So

7:55

now that creates a coaching moment for

7:58

the coach to go in and say , okay , let's talk about

8:00

that , let's talk about that 3 o'clock . Oh

8:03

, I get this when I get my emails from

8:05

my clients about this project

8:07

update , right , so we can dig a little bit deeper

8:10

into some of that . So I'm

8:12

not sure if that necessarily answers the question , but when

8:14

you , when you look at kind of being

8:16

able to have that tool set that

8:19

says , hey , I'm collecting data so

8:21

that I can help move my client from point A

8:23

to point B , right , and

8:26

then being able to have the AI contextualize

8:28

some of that so that my mind doesn't I

8:30

can't look at data and very easily

8:32

pull patterns out of it , but an AI

8:35

can .

8:37

How do you think coaches can get more comfortable

8:40

using tools like this ?

8:42

I think you got to try them right . I

8:44

mean , for example , you

8:46

know I can share a few here

8:48

just on my screen , so

8:53

just I can . There's a couple that are very

8:55

easy to go and play with . Can you see my screen

8:57

?

8:57

Here it can .

8:59

Here's a tool right now is tied in with chat GPT

9:02

, it's called askyourpdfcom . Right

9:04

, you would go in , you

9:06

create an account and you can actually upload

9:09

documents to that

9:11

site , right , askyourpdfcom

9:13

? So what I've done ? If you're looking

9:15

at my screen for those of you that are I've

9:18

uploaded several different

9:21

documents my CliftonStrengths

9:23

document , spiritual gifts assessment

9:25

and so forth . So if I were

9:27

to go in and just click new conversation

9:29

within this context , I

9:31

can actually have a conversation about

9:35

this document with an AI

9:37

. So you

9:40

know what are

9:42

this client's top

9:45

strengths and

9:52

then it's like a chatbot , right ? So as it

9:54

goes in , it reads the document and

9:57

it tells me the strengths , where it got

9:59

the information and

10:01

then you know , based on this , what

10:06

are some things I should

10:08

be aware of when

10:12

setting goals with

10:14

this

10:16

client , right

10:28

? So it's just so the footage that

10:30

can't see the screen . I asked the question

10:32

. Basically , this is a CliftonStrengths

10:35

results . I asked it to

10:37

look at the result , read the document

10:39

for me and , based on

10:41

the top strengths , give me

10:43

some things I need to keep in mind . How

10:45

can I help them meet their goals by

10:48

leaning into those strengths ? And you're seeing

10:50

the screen . For those that aren't , it's top

10:52

three . Number one leverage

10:54

their positivity . Number two

10:56

engage their intellect . Number

10:59

three tap into their input . Number four

11:01

recognize their developer talent . So

11:04

by using these

11:06

strengths , if I'm working with this client

11:08

, you know this particular

11:11

tool , this particular AI , was

11:13

able to very quickly help me

11:15

pull some strategies together that

11:17

I can apply in my coaching sessions

11:20

. If you take this

11:22

a step further , I'm not going to

11:24

go too deep into it , but let's say that I wanted

11:26

to say , okay , I have CliftonStrengths , but

11:29

I also had the Emotional Intelligence 2.0

11:32

, and I have a spiritual gifts assessment . Each

11:36

of these documents have an ID

11:38

that you can actually use within chat

11:40

, gpt . You can say

11:42

hey , based on these three assessments

11:45

, give me some deeper insights

11:47

into this person . So

11:50

that's just kind of where some of these can tie together

11:52

to be able to provide

11:55

you more information and contextualize

11:58

information so that you could go out and

12:00

potentially do a better job coaching

12:02

.

12:03

Yeah , that's amazing . So

12:06

that leads me to now that I'm seeing

12:08

that . How do you know which

12:11

technology which is

12:13

best for you to use ? Meaning , if we're

12:15

talking about the developers

12:18

behind it , I mean , it would be

12:20

like a shot in the dark for me to go on

12:22

and say , okay , I'm going to try this one

12:24

. Do you have any ?

12:26

Yeah . So one thing I would say is , you

12:28

know , whenever you're working with

12:30

technology databases

12:33

, you really want to understand their privacy

12:35

policies . So

12:37

, if I'm going well , don't share your client's

12:39

information in any of this . If

12:42

you're going to share an assessment , be sure it's anonymized

12:45

, those types of things . So

12:47

there's that . But then also , you want to kind of

12:49

look at how they're getting their data . So , for example

12:51

, chat GPT it's a Wild Wild

12:53

West , right . I can

12:55

go to the chat GPT , ask it a question and

12:58

it's going to find the first answer it comes

13:00

to and give you a really great sounding

13:02

answer . But it may be completely wrong

13:04

, right ? So what you don't want

13:06

to do is lean on chat GPT

13:08

to do certain

13:11

things for you and then just

13:13

assume that it's right , right , so you're going to have to validate

13:15

that information . One

13:18

thing that's been super useful for me when it comes to

13:20

academic research , as an example , is

13:22

chat GPT . They have a plugin

13:24

called Scholar AI . So

13:27

basically what it is , I can actually kind

13:29

of show you on the screen here . So

13:35

if I actually do scholar

13:40

AI , it actually

13:42

ties into academic databases

13:44

multiple of them , right

13:47

? So let's say

13:49

that you know , please provide me

13:51

. I'm asking chat GPT here . Please provide

13:53

me with five

13:55

recent academic

13:58

sources that

14:00

discuss increasing

14:04

self-awareness Right

14:06

. So we're trying to help a client do this by

14:10

using chat GPT alongside

14:13

the scholar AI plug-in .

14:19

Thinking .

14:23

So you see it's using scholar AI . So now what it's

14:25

actually doing is it's going and searching

14:27

that academic database

14:29

, just like you would if you had

14:31

access to your university's database , and so forth

14:34

. So now it's

14:36

finding several

14:38

articles about

14:41

increasing your

14:43

self-awareness . You can go take out

14:45

those articles . It gives you an abstract right

14:48

. So I'm just for

14:50

the sake of time , I can stop this thing

14:52

and say , based on

14:54

the

14:58

sources you are finding , create

15:02

a five-step process

15:07

for

15:09

increasing self-awareness

15:13

.

15:18

Certainly .

15:19

it says Yep , so

15:21

here's , a .

15:21

Of course I will Right .

15:25

So it gives you just a nice outline

15:28

of some ways that we can

15:30

work with our clients , potentially based on the academic

15:32

research that exists today . How

15:35

to go and help you , how to go and do this . So

15:38

, just for those can't see it , the steps it came up

15:40

with is engage in perspective talking

15:42

. Participate in reflective activities

15:44

. Increase knowledge on global issues

15:46

, self-assessment and feedback

15:48

. Engage in collaborative activities

15:51

. Now , you may hate some of these , you

15:53

may love some of these , you can reorganize

15:55

and so forth . So , going back

15:57

to the question which tools , I think chatGPT

16:00

is a good one to start with . Look

16:03

at some of their plugins , like

16:06

ScholarAI . There are others , like Ask

16:08

your PDF . I

16:10

think those types of tools are probably

16:12

a good starting point , but

16:14

they're literally tens , thousands

16:17

, hundreds of thousands of startups

16:19

right now trying to leverage

16:22

UI for this , this or that . So I

16:24

think that when you try to get in too many of those

16:26

things , I think it gets

16:28

kind of dangerous . So I would stick today

16:30

with chatGPT , chatgpt

16:33

plugins , and then maybe , as

16:35

time goes on , some of these tools get

16:37

more proven . You could kind of dip into some of

16:39

those .

16:41

Now with chatGPT , I saw

16:43

that you were using as at the 4.5

16:46

or 4.0 . It's

16:48

not the free version , it's the

16:50

paid , correct .

16:52

Yeah . So the free version gives

16:55

you some very good answers , but

16:58

the paid version introduced this plugin

17:00

, which I think is a game changer . So

17:03

you have third parties . If you pay , it's like

17:05

$10 a month . It's not super expensive , but

17:07

if you pay for that , you get access

17:09

to third party plugins

17:12

. So ScholarAI being probably

17:14

my favorite plugin that can actually

17:16

tie your chatGPT

17:20

session to real-time data

17:22

, which is where chatGPT3

17:24

doesn't have that . So it's basically

17:27

the knowledge cutoff of chatGPT3

17:29

is somewhere in 2021 , I think it is

17:31

. So now you're dealing with most

17:36

recent two or three-year-old

17:38

data , whereas with these plugins

17:40

, I could go get articles from 2023

17:43

that were written and published yesterday . So

17:46

that's the value that paying

17:48

for the upgraded version gives you

17:50

. Scholarai is just one they have , like

17:52

Expedia has one . There

17:55

are so many different . I looked the other day

17:57

. I think there were like 40 pages

18:00

worth of plugins . You can tie

18:02

all this power and contextualization

18:04

into real-time

18:07

data , so that's really a big

18:09

opportunity here .

18:11

Now would you still suggest people kind

18:13

of validate what it's saying

18:15

, like it gave you that article . Do

18:18

you just trust that that article

18:20

is in fact a

18:23

live article wherever it ?

18:25

I mean I don't . So what I

18:27

do ? I'm a doctoral student at

18:29

Regie University , so what

18:31

I do is anything that chatGPT

18:34

gives me . I look it up in that

18:36

database , so I kind of

18:38

have another tab open that I would then paste

18:41

the information that I would actually go into the article by myself

18:43

. Make sure you validate . 99.9%

18:47

of the time , though , it's correct . So

18:49

whenever you're using these plugins now

18:52

, chatgpt3 will

18:54

just make stuff up . It'll

18:56

create references . That

18:59

looks right , uses

19:01

real authors , the name looks like it probably could

19:03

be a thing , and then you go look it up but

19:05

it doesn't exist anywhere . So

19:08

it's always good to validate that

19:12

. Hey , this information is coming in is

19:14

real . I

19:17

have found that again using very

19:20

specific chatGPT4 with

19:22

scholar AI . 99%

19:25

of the time it is

19:27

that's correct .

19:29

It's good . It's good and I'm glad

19:31

to hear that you validate . Thank

19:33

you . So

19:37

we did talk about so . With

19:39

the free version of chat GPT

19:41

, that information is already old . So

19:43

when we take a look at , let's say , five years

19:45

down the road , what are things going to look

19:47

like from your view

19:50

?

19:51

Well , I think it's just going to get better . I mean , you look at

19:54

the

19:56

pace at which what

19:58

chat GPT has been around a

20:00

year as far as being available to

20:02

the public . You look at the pace at which

20:04

it's changing things . I

20:07

think that accelerates over the next few years . I

20:09

think what we're also going to see is potentially

20:12

legislation that limits the

20:15

use of AI , limits

20:17

its applications . I don't think you put

20:19

the genie back in the bottle . I think we're past

20:21

that point . You

20:25

look at even academic integrity , just

20:28

like that where you have . How

20:31

do professors

20:34

help their students

20:36

learn and

20:39

identify cheating ? That's

20:41

a big problem , I'm sure , right now in the academic

20:44

world . I don't know the answer to

20:46

that , but it's not going away . So I think

20:48

some mindsets are going to have to change . How

20:51

do we better help our students learn , for example

20:53

, in academia or in

20:55

coaching , in

20:59

annually looking at assessments

21:01

and trying to figure out and contextualize

21:03

data . It's going to be like doing

21:05

math by hand , so

21:07

it's being able to , five

21:10

years from now , thinking coaching . You have all these different

21:13

tools . The thing is going to be overwhelming

21:15

the number of tools that are out there

21:17

and , frankly , the

21:19

coaches that are going to do well , five years

21:21

from now , are the ones that are exploring

21:24

and experimenting today . What's

21:26

out there ? How does that look ? How

21:28

does that apply to me ? How do we maintain

21:31

ethics and maintain

21:33

integrity as a coach

21:35

and use the tools

21:38

? I don't think those answers are

21:40

out there right now . I think those are the questions being

21:42

asked , but I think that five years

21:44

from now , the groundwork that

21:46

we're doing now to put

21:48

some of those boundaries around AI are

21:51

going to be critical , because there's

21:54

no telling where it could be five years from now .

21:56

Yeah , and you did mention ethics . So let's go

21:58

there . When we talk about technology

22:01

and ethics and coaching and ethics , and

22:03

it seems like it's just

22:05

like you use the word wild

22:07

, wild west and that's what it seems to be

22:10

. So when you're thinking about

22:12

artificial intelligence

22:15

and ethics , what kind of bubbles up for

22:17

you in that arena ?

22:19

Well , yeah , ai is amoral

22:21

, right , it's

22:24

not good , it's not bad . So

22:27

I think the same criteria

22:30

we use today for

22:32

ethics has to apply to everything that you

22:34

do within AI . I think

22:36

there's also a reality that it's going to be a need

22:39

for personal ethics , being

22:42

able to create a , even

22:44

write it out . What are my personal

22:46

ethics around coaching

22:48

? It's

22:50

going to become harder and harder to differentiate

22:53

between humans and robots

22:55

and AIs . I shouldn't use

22:57

the term robot You'd think of Terminator but

22:59

it's going to be harder to differentiate between

23:01

human and AI . So I think one

23:03

is eternalizing . What is my ethical

23:06

code ? What is my personal code

23:08

of ethics ? And

23:10

then , specifically within coaching

23:13

, some

23:16

of these coaching organizations . I'll talk about

23:18

them in the next few minutes . I can't think of them . I

23:20

should be able to , but these coaching organizations

23:22

that are providing credentials , providing

23:24

training , they

23:27

need to be right now . I'm sure they are creating

23:29

. What are our code of ethics around AI

23:31

, the use of AI ? It can't

23:33

be so limiting that you don't

23:36

take advantage of the technology , right

23:38

, but then it can't be so free that

23:41

it continues to be the Wild Wild West . So

23:43

I guess the way

23:45

I would answer that question is twofold . One is the

23:47

personal code of ethics , internalizing

23:50

that as a coach . And then two is trying

23:53

to get ahead of this thing now as

23:56

organizations , coaching organizations

23:58

that says here is our stance

24:00

on AI , what we will

24:02

do , what we won't do .

24:06

And I also think that those codes

24:08

and Bellarm is going to be ours

24:11

is coming out within the next week and

24:14

I think it's a work in progress . I

24:17

think it's something that , as

24:19

we learn more and as

24:21

AI develops , and as

24:23

coaches , consultants , whatever

24:26

industry you

24:28

end up in , I think that , as

24:32

time goes on , we're going to be finding

24:34

out . I mean , as a Christian , I know what

24:36

my ethics , I have Christian ethics and

24:38

that's my guiding light . Those

24:41

are my boundaries and whatnot . But

24:44

I think that , as time goes on

24:46

, I think verbiage

24:48

is going to be different . I

24:51

think questions are going to be answered

24:53

as we start diving in and

24:55

start utilizing these tools and

24:57

having those aha moments , and how

24:59

can we then point it back

25:01

to ethics , whether we are going to

25:03

either be utilizing this or

25:05

not , and for what reasons

25:08

?

25:08

Yeah , and I think that that's another reason

25:11

to not be so scared of this stuff is to really

25:13

start digging in , because we want ethical

25:15

people trying the stuff out , right ? So

25:18

if you're afraid to get in there and play with it

25:20

and try it , experiment , then

25:23

you don't even know the right questions to ask , right

25:26

, and that's what I would encourage

25:28

practitioners , scholars

25:31

, get in there , play with this stuff , figure

25:34

out where it's going wrong so

25:36

that we can build those boundaries around it . But you

25:38

can't do that if you don't touch it , if you just

25:40

scared of it and don't get into it . So

25:43

, yeah , yeah .

25:46

And you did note about when

25:49

we talked about how do we know what

25:51

tools are best and you did

25:54

mention chat , gpt and

25:56

whatnot and to look at the privacy

25:58

. So , when

26:01

, if I were to look at a tool and look at their

26:03

privacy , what might

26:05

be something that would stand out to

26:07

me that I would say , yes , this is something

26:09

that perhaps I could

26:12

use and feel good about it

26:14

.

26:14

Yeah , one of the

26:17

things is , you know , with

26:19

chat GPT there's a private mode that you can go

26:21

into , because , basically

26:23

, chat GPT the way chat GPT works is

26:26

it actually all the data that you put

26:28

into it , all the inputs you put into it , become

26:30

part of this library , Right ? So

26:32

it's as you're interacting with it . It's continuing

26:34

to learn and get smarter , right ? But

26:37

there may be some information that you don't

26:40

want out there as part

26:42

of the public domain . Maybe it's proprietary

26:45

information that you want it to help you analyze

26:47

those types of things . So chat

26:49

GPT has a mode

26:51

that you can put it in where

26:53

it doesn't actually share that

26:55

data with the wide world

26:57

, right ? So that's very important and

26:59

they have it . I forget exactly how you get to it , but

27:01

they have documentation on what that looks like . If

27:04

you don't within the privacy policy , if

27:06

they don't have a data retention

27:09

or a data sharing policy , then

27:11

they could be selling that data , right , because

27:14

you data mining it , you know taking those prompts

27:16

and selling it . I think that it

27:19

might be okay in certain dynamics , but particularly

27:21

in a coaching relationship with a like

27:23

if you don't want that , right ? So I think

27:26

that's privacy policies is probably one of the

27:28

biggest concerns that I have Beyond

27:31

that . I mean you can kind of get into them and not all

27:33

these companies have documentation

27:36

like this but how do you get your data

27:38

? How do you ? You know where do you source your data

27:40

. You know chat , gpt

27:43

one of the complaints that early on and

27:45

still , frankly , some still an issue today

27:47

is kind of the

27:49

first data it comes to . You

27:52

know what I mean . It assumes that's the correct data . So

27:55

you know , as AI gets better , you

27:57

want to kind of look for things like hey , how many sources

28:00

are you looking at before you answer this question ? You

28:03

know those types of things . So privacy

28:05

policy , where

28:08

they source their data and then also

28:10

how they share the data .

28:14

That's a lot and I

28:16

feel like people just click

28:19

a button and you know they're not looking

28:21

at these things . It's just

28:23

well this looks cool . This

28:25

looks like it'll work , or this looks

28:27

like , whatever it is , and

28:30

I guess that's my it's

28:32

not a fear , but it's

28:34

when I think about the information that

28:37

it's gathering , even if it's wrong

28:39

, information that the chat GPTs

28:41

of the world is gathering to then

28:43

send out to people

28:45

, if it's learning from what their input

28:48

.

28:49

Then a lot of people are going to believe

28:51

wrong information . I mean , you know , I think the

28:54

there are a lot of

28:56

people that will

28:58

just buy whatever they see . But

29:00

I think it's up to us to

29:02

be wiser than that . Right

29:05

, meaning that everything

29:07

that comes out of these AI tools right , at least

29:09

right now it needs

29:11

to be validated . It needs to . You know

29:13

. It can't replace , you

29:17

know , research , it can't replace ethics

29:19

, right ? So I think it's just being

29:22

aware of it now , use

29:24

it , but then take everything with a grain of salt . I

29:27

think that's how you get through the next five years . Now

29:29

, I have no clue , five years from now , what all

29:31

this looks like , but it's going to be harder

29:34

, even harder then . So

29:36

the reality is , there's

29:38

no way around it . People are going to be fooled by

29:40

this stuff Bad

29:43

data they're just going to swallow it , and so we got to help them

29:45

understand and see . Okay

29:48

, I understand that you got this from here , but

29:50

doesn't necessarily mean that it's real or true

29:52

. Here's what is

29:54

.

29:55

Yes , A

29:58

lot to know , a lot to learn

30:00

. What do you say about ? You

30:04

know on social media that there's , you

30:06

know , pay whatever , or it's

30:09

a free course or a paid course

30:11

. What do you see out there

30:13

that where people should

30:15

go ? I mean , should they come to you ?

30:18

As far as like with learning AI . I

30:20

mean there's so much out there

30:22

I don't even know the right places to tell you to go . There

30:26

are a lot of good sites out there that have been

30:28

around for a while , that have taught other

30:30

technologies . I

30:34

can't think of you off the top of my head , but what I would say

30:36

is there's a brand new site out there that's trying

30:38

to teach you about AI . They want you to pay $500

30:40

. Let's stay away from that . But

30:44

if there are sites out there that have been teaching

30:46

technology tools for the last 20

30:48

years , a plural site comes

30:51

to mind as a good place

30:53

that , hey , they're not just

30:55

putting a website up , they have a track

30:57

record of teaching , yet they have courses

31:00

that are reviewed by real reviewers

31:02

that you can get into and start learning a little bit about

31:04

AI , about machine learning

31:06

. That's a good place . I will

31:09

put a shameless plug here a little bit

31:11

. I mean . So I'm working on software

31:13

now for coaches

31:15

and one of the key things that I'm working

31:17

on doing is integrating certain aspects

31:19

of AI into our

31:22

platform . So , just as an

31:24

example of a tool that we have , we

31:27

use disk driving

31:29

forces and EQ for

31:32

kind of our three main assessment

31:35

bases , if you will . So

31:37

one of the things that we've built into our

31:39

tool is the ability for me

31:41

, as a high D type

31:44

A activator , to

31:47

be able to write an email in

31:50

my voice how I would

31:52

say it , and then click a button

31:54

and it'll actually change that

31:57

wording of that email to

31:59

make it more palatable for another

32:01

personality . So

32:03

this is an example that the tools that we're working

32:06

with coaches on that's

32:08

available would be available . Other

32:11

things is being able to look at two personalities

32:13

and look at

32:15

where the conflicts , not just a

32:17

generalized . Well , this type of person

32:20

, Okay , based on a broader

32:22

understanding of who I am

32:24

and a broader understanding of who they are

32:26

. If I am trying to communicate

32:29

something clearly to them in this context

32:32

, what's my checklist ? What are the three , four things

32:35

I need to remember in that conversation ? So

32:38

those are the types of things that we're trying to empower

32:40

coaches with

32:43

technology but then also put a lot of guardrails

32:45

around that we have to put a

32:47

little flag next to some of these features and say , hey

32:50

, this is experimental

32:52

, Please validate

32:54

some of this information , et cetera . But

32:57

we're getting a lot of positive feedback , especially for people

32:59

like me who , at my

33:01

patient's level is not always the highest

33:03

, being able to really

33:05

get summarized , my

33:09

patient's tolerance is not super high

33:12

, but I value accuracy and

33:14

I value competence . So

33:16

there are these two parts of myself that are

33:18

always kind of battling

33:21

within myself , but this gives me the

33:23

ability when I'm coaching especially

33:26

if I have any type of assessments to

33:28

be able to get those key points from

33:31

this 70-page document , all

33:34

of which matters . So

33:36

, yeah , that's something that you can reach out to us

33:39

. Cummings Solutions is the website

33:41

. If they want to reach out , we'd

33:43

be more than happy to either , obviously

33:45

, they could use the platform or we'd

33:49

be happy to answer any questions coaches

33:51

have about some of this stuff

33:53

, for sure .

33:55

Now , are those available currently

33:57

for coaches ? Are you still in the experimenting

33:59

?

34:00

I would say we're in a beta phase

34:02

. We are open to new

34:04

coaches coming onto the platform . At this point

34:06

it would be on at this

34:08

point . Just reach out to us and

34:11

we'll get you on the platform . We don't have

34:13

an automated way to getting coaches in . It's intentional

34:15

. We want to make sure that the tools that we're

34:17

putting out there are vetted . We

34:21

want to make sure the features work . For

34:25

all the reasons that you and I have discussed about

34:27

ethics and different things . We want

34:29

to take that slow . If

34:32

anyone's interested , I

34:35

believe my contact information would be in this in here

34:37

, corey at Cummings Solutions , or

34:39

just come to our website , cummings Solutions , and

34:41

we have a form you could fill out . We can get

34:44

in contact with you .

34:45

Are you on LinkedIn ? Can people reach out to you on

34:48

LinkedIn ?

34:48

Yes , absolutely . I

34:52

think it's J Corey Cummings or something like that .

34:55

Awesome . Well

34:57

, mr Corey Cummings , your

34:59

wealth of information . I appreciate you . I

35:01

appreciate everything that you brought to this

35:03

conversation around AI , around

35:05

technology . My

35:08

hope here is that somebody who

35:10

was tuning in might reach out and try

35:12

something and be able

35:14

to not be so nervous

35:16

about stepping into AI , because

35:19

the truth is , a lot of the things

35:21

that people are already using is AI

35:23

. They just don't realize that . Right

35:25

, correct . Is

35:29

there any last words ? Any last words

35:31

from you You'd like to leave us ? I mean

35:33

?

35:33

it's just really exciting . You know , if you let it be

35:35

, this could be a really exciting

35:37

time for your coaching practice

35:39

. You know this

35:42

is not bad . You

35:44

know these are good problems to have

35:46

. So I would just encourage you to step

35:48

into it . You

35:50

know fear is never a good driver . Okay

35:53

, let's deal with reality , that's fine

35:55

. Put boundaries around it . Let's

35:57

really lean into this thing . I think it can really

35:59

catapult the coaching

36:01

industry further if

36:03

we let it . So I just encourage you to try

36:05

some things . Have fun doing it , that's

36:08

right .

36:09

All right , well , until next time , you keep doing

36:11

great things and we'll see you soon .

36:13

Thanks for having me .

36:14

Take care , bye-bye .