Episode 15

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Published on:

18th Jun 2025

The AI Readiness Project with Anne Murphy and Kyle Shannon

In this no-guest episode of The AI Readiness Project, Anne Murphy and Kyle Shannon dig into the real obstacles keeping people from embracing AI—fear, overwhelm, and the “I’ll deal with it later” mindset. They share candid stories, hard truths, and a new framework called Feed Your Prompt, designed to help you get the most out of yourself with AI. From janky tech moments to practical strategies for making AI personally relevant, this conversation blends empathy, tough love, and actionable advice for anyone stuck on the sidelines.

Transcript

0:03

forget trying to keep up with AI it's moving too fast it's time to think differently about it welcome to the AI

0:11

readiness project hosted by Kyle Shamim and Anne Murphy they're here to help you build the mindset to thrive in an

0:17

AIdriven world and prepare for what's next [Music]

0:26

ann Murphy ann Murphy hello how are you i'm good i We Listen we gotta We gotta

0:32

just start right off and just say I I want to get into the spirit of Embrace the jank we We've had a janky start

0:39

we've had a We've had a janky start yep i logged out weird i couldn't log back in weird we We got setting setting

0:46

settings settings messed up so everyone's trying to make it happen and just janky software this is the world we

0:52

live in this is the world we live in and this is why we always say you have to be

0:58

curious and you have to be willing to be vulnerable and um you have to accept that this is the worst that it will ever

1:05

be and sometimes that is very the whole genre we feel like it should just work

1:11

oh I'll tell you what last night on my live so we had we had the AI salon last night it was lovely we did a meet and

1:18

greet we met lots of lovely people i missed it again i know i know it's It's painful but you know it's okay i know

1:24

you don't love us that's okay listen so So I go to my live after the salon

1:31

and just it it was a combination of not only did everything I try not work I had

1:38

no patience for it so like you know you know how normally I'll just sort of blast my way through

1:43

i was just it was a bitter salty mess so so so I think it's appropriate that this

1:50

started out a little janky i think it is too and I think that it's important to normalize that because this

1:58

is not a space where we want to act like oh no big like it's all just like smooth

2:04

sailing there are areas of our lives where we want to act like everything's fine right we want to be like the duck

2:10

we want to be the part above water while the other you know while the feet are flapping around nobody sees it but in

2:16

this case it's better I think to just be honest that sometimes this stuff just

2:21

doesn't work the way you want it to and there are going to be days where you're hangry you're underslept you haven't

2:27

exercised and you just want things to work yep and you're live that's the best

2:33

you know it's hilarious you're live in front of the world and you know it's a little stressful exactly well so so

2:40

that's where that's that's where we are in the moment but let's let's dig into

2:46

how ready for AI are we this week it it sounds like you've had some interesting

2:51

meetings this week um I'm I'm in the middle of what we're

2:58

going to talk about here today this sort of new reframing of how to think about prompting and thinking about AI so I'm

3:05

kind of swimming and stuff but you you gave some presentations i'm curious how where are you this week with with your

3:11

AI readiness where I am this week is kind of I'm having sort of an attack of

3:20

mama bear and just really being worried about my friends my colleagues people in

3:28

my industry who aren't yet getting off the sidelines to the level that would

3:34

satisfy me yeah well which would be everyone jumps in and joins AI

3:41

but it feels like what I'm not hearing is ongoing objections when we talk about

3:48

the ethics of AI we kind of we've been able to clear those right to some extent

3:53

there's it's still there's a lot of stuff lot of you know the parade of

3:59

horribles is is real there are a lot of bad things but we clear those and we

4:05

start talking about actually implementing AI as individual contributors

4:10

let alone enterprise adoption and you know I have nice conversations you know

4:16

I do these presentations I do these these small trainings and we're in conversation things are going well if I

4:23

didn't know better I would think I'd converted everybody in the room right it's like oh yeah d you know I put QR

4:32

codes on all of my things and I invite people to download stuff and to connect with me on LinkedIn and to use my DMs as

4:38

their personal AI help desk and when I go and I look at the clicks and the

4:44

downloads like not very many people are taking me up on it it may be that they

4:51

just want to tinker on their own and they don't want my 105 words that AI has

4:57

ruined so that you can upload those and not sound like a ninny right i don't

5:03

know but it worries me because how are they learning if they're not in a

5:08

community and they're not willing to spend time and they're not

5:17

like willing to download a resource like I just have been in this mama bear mode of I'm just worried about my friends who

5:24

are going to lose their jobs or whose jobs become so unrecognizable and they won't like those jobs yeah

5:33

so I'm just worried on there because I mean what what pops to mind for me so so I've been thinking a lot about this as

5:39

well and the only thing that pops to mind for me like one of the things I'm

5:45

experiencing with storyvine is that people are overwhelmed with

5:51

their jobs and if

5:56

if AI getting a little echo if AI lands as oh

6:02

this is another thing I have to learn to do my job then it's another thing on top

6:08

of a job as opposed to where a lot of us started with this stuff was just start

6:13

playing with it play play first right so that the thing we talk about in the salon play first start with that

6:21

like maybe there's something there where it's they're seeing it as oh this is something I have to do and something I

6:28

have to do overwhelms me and I'm just like I'll just how about I just I'll get laid off that would be better than me

6:34

having to deal with anything right now like you know what I mean like I don't know we're the worst at predicting what

6:43

future self needs we're horrible at it this is like a

6:48

thing we're horrible at knowing what future self needs probably including

6:54

a job and most of us need jobs not everybody i

6:59

understand some people work for fun and but most of the people I know in my

7:05

field are working for money and I I I wonder

7:10

if I were in their shoes it would just take half a day you know

7:17

maybe if their bosses or you know that you know that I know that they how do I

7:22

make it clear enough though I this I don't know

7:28

well you know what so Maybe as I walk through feed your prompt today yes

7:34

so so so one thing oh crap I'm late vickiy's late let's just let's just call it out to be clear vickiy's late

7:42

it's okay Vicki we started janky we We started late because because I logged out of something to try to fix something

7:48

then I tried to log back in so it's okay we'll forgive you we working for fun

7:54

it's so:

7:59

like this is this is I think a lot of what's going on so the fact that you know someone could get up to speed in

8:05

four hours in half a day if someone's in cognitive overload

8:10

then that's not going to feel like a reality to them

8:17

so I don't know it's not going to feel real the other thing is how do we

8:27

chat GPT has been out for two and a half years now and everyone predicted oh it's going to eat all the jobs it's going to

8:33

eat all the jobs it's going to eat all the jobs hasn't eaten all the jobs yet it's eaten some jobs but not all of the jobs right and there hasn't been kind of

8:40

big news headlines that oh the jobs are going away so maybe there's a sense of security

8:46

that oh it's going to be okay this actually that AI stuff it's going to be like NFTTS it's just a fad it's not going to

8:52

take my day you know maybe there's a maybe I'll just Ann's great yeah she really inspired me you know what i I'll

8:59

do that next month you know what I mean maybe that's part of it too that there's not a sense of urgency of what's coming

9:06

i don't know like I I don't I got nothing so

9:12

this this this vignette uh Yeah 100% Rick um I will share this vignette with

9:22

so much compassion for the person who shared it with me it was shared in a public setting so hopefully that's okay

9:28

um their institution has just signed a contract with OpenAI they're one of

9:34

those and this person has never logged into

9:39

Chat GPT and they just signed a deal with OpenAI

9:45

open AAI that's the reality of it and I know that they are in the cognitive

9:50

overload reality um so if that doesn't get somebody is it

9:58

just Yeah I think you're right i think people don't feel the pain enough yet when their phone stops ringing and when

10:06

they real they see PD position descriptions that include you know you've got to be AI ready AI they'll

10:13

probably use AI literate or competent or whatever whatever words the HR comp HR

10:18

group comes up with but maybe at that point it'll sink in i wonder how many

10:24

people think they will ride it out to the end of their career well there could be that right well I've only got five

10:30

years left till retirement maybe it won't hit until then there could be some of that

10:35

um boy I just don't know there was a PWC uh

10:41

jobs report that came out this week and one of the findings in it that I thought was interesting you know one was like

10:47

this is going to de decimate knowledge jobs like it you know there was some bad news in there some of the short-term

10:54

good news is that AI literate employees on average had a 56% higher salary than

11:02

nonAI literate employees so there it's telling you the market right now is valuing AI literacy or AI readiness

11:10

let's call it because literacy is a fallacy at this point they're they're valuing someone being AI forward as a

11:17

50% more valuable employee than not so nothing else like maybe just

11:25

do the selfish thing of like hey maybe if I learn AI um I can get moved into a role where it pays more or something

11:31

like that maybe that I mean people do you know want raises and need raises so

11:37

there's that there are also the people who are uh kind of like rootbound in

11:43

their careers there isn't the next level job they could add AI to their repertoire and become that person and

11:49

make more money and have more responsibil Isn't it funny how in our careers a lot of especially in employee

11:55

life you're like I just want more responsibility you know what I mean like I just want more work to do isn't that

12:00

weird yeah so maybe AI and making life slightly easier and being a better

12:06

collaborator and doing your best work and doing things faster maybe it's not motivating enough and I do understand

12:12

like I've I've had tech rollouts that kind of like happened to me before where

12:18

you're just kind of annoyed and it's just like a thing you have to do and you're like eye rolling about like the

12:25

middle managers telling you to do stuff um but the fact of the matter is job

12:30

loss unfortunately is a short to medium-term reality and

12:36

they're going to have to hang around till things get better again so I just I have a lot of compassion for it and also

12:43

as you know I know you've been here before where it's a little bit just like exasperating yeah you get tired of the

12:51

of like the gassing people up to use AI it does take a lot of empathy units

13:00

to do that that's good i like the term empathy units it does it takes a lot of empathy units

13:07

and it's almost it's almost worse than just like you know I'm not ready for it it's almost like there's an active

13:12

resistance to learning it right and that that starts to become right upskill USA yeah exactly upskill USA the other thing

13:19

is okay and this is just like I am sharing this total vulnerable moment

13:25

that I'll be in sessions and I feel like I'm crushing it like I'm telling people

13:32

all the things i've got my slide deck that I've used for training 4,000 people everything is beautiful and someone will

13:39

raise their hand and they'll go "How can where can we go to get training

13:44

for this?" And I'm like I literally can't even say without

13:51

sounding so condescending like who TF do you think I am like I have 140 women who

13:59

would train you in a second you see that i'm training you right now where I know

14:05

all the things like here's my email here's my text you know like and I'm

14:11

just like maybe there's something fundamentally about humanity that I don't understand and now we've now we've

14:16

entered into Ann's therapy session of the AI readiness project but yes exactly

14:22

an riskreward in the decision-making process pain of change isn't big enough yet yes Rachel absolutely and that's and

14:30

that's the thing i think that's where your you know your mama bear comment about about being heartbroken that

14:37

listen I don't want you to have to get laid off to get that this is a big deal right yeah and yet it's kind of what

14:44

they're ch choosing to do um that said so so today's going to be a

14:52

bit different we don't have a guest today i'm in the middle of working on a new brand a new framework um for how to

15:00

think about AI how to approach AI and how to have AI effectively function as a

15:06

superpower like a jetpack right yes

15:11

and so so I've been thinking a lot about this stuff and I think we'll go through

15:17

it so we're gonna we're going to jump in here in a second and I'm going to walk through it and I think what I'd like to

15:23

do an is rather than me just giving the talk because I'm in the middle of writing it i think what might be good is

15:30

I'll sort of you know sort of give the talk of a slide and then if you're like "Yeah makes sense just move on great

15:36

i'll move on." But if not like if there's something to talk about or you have questions maybe as we go go through it just ask me and I'll unpack stuff as

15:43

we go through perfect does that work okay um

15:50

and I don't know that this I don't know that this solves in any way some of the resistance that you're

15:57

feeling but but where I am try what what I am

16:04

trying to do with this framework is make AI personally relevant to every person

16:10

in the room yes not just saying this this technology is going to change

16:15

things and you should learn it but more here's what's in it for you and so maybe if we can go through this today and you

16:22

know anyone who's watching you know feel free to pop things in the comments we'll we'll look there as well um

16:29

you know I'd love to just get some feedback on is it working

16:35

yeah one of the things I really like about Feed Your Prompt and what I've heard you talk about um so far and what I heard

16:45

today from someone was the people who are quote unquote good at AI are the

16:51

ones who figure out how to put context in and that is exactly what you're

16:57

talking about right how do you put your own special unice into AI and

17:06

as a result get much I think what you're going to be talking about is yeah how to

17:11

amplify your own very own self yeah that that Yeah so so well let me

17:20

let me jump in so Oh so where do we start

17:29

for the past let's call it two years no for the first

17:34

two years since Chat GBT came out I was asking this question

17:41

how do I get the most out of AI and what that looks like is well I learn

17:46

the tools and I learn prompt engineering and I learn that this and I and I keep up with the tools and I and then I'm

17:52

going to get the most out of AI and then I'll get the most out of AI and that's going to be good i don't think that's the right question

17:59

what's hit me what what what happens you and I experience in our communities

18:06

on a regular basis people's people whose lives are fundamentally transformed

18:16

because of how they've engaged with AI mhm and the thing that suddenly hit me

18:21

in the past it's been forming in the past six months and it's come into focus in the past month and a half is this

18:29

start asking the question how do I get the most out of myself with AI

18:34

and this is where I think it starts to change i think what happens in our communities is that people have

18:41

instinctively gotten to this place when you start playing with AI and you you

18:47

you're willing to go past it being a little janky then what you instinctively do is say

18:53

"Well no I don't like that answer i want an answer that's more like how I would think about it." And then it will say to

18:59

you "Well how do you think about it?" Right and it sort of it sort of forces you down the path of talking about

19:05

yourself your point of view and so I think if you can start with this thing of how do I get the most out of myself

19:11

with AI it's a very different framing and your relationship with the tool shifts um

19:19

so this idea of the prompt being hungry i think one of the expectations that I've seen in the world is that AI is a

19:25

genius and and what I mean by that is I think people have the expectation that no

19:31

matter what they put into it what they're going to get back is brilliance mhm and what they get back is like a

19:37

generic disappointing thing they're like "Well I could have written that better that doesn't sound like what I sound like." And and so they say "Oh I tried

19:44

chatbt it didn't work." Because I think the expectation is that it's a genius i don't think it's a genius i think what

19:50

AI is is an amplifier and the prompt is hungry and no matter

19:55

what you feed it it's going to reflect that back at you so if you put in a prompt that's cold and generic you're

20:01

going to get back cold disappointing results but we get to choose what we have it

20:08

amplified so if you put in yourself your point of view it will amplify you and

20:13

that's that's what this whole thing is about so I'm I'm I've I've coined what

20:19

I'm calling an IT prompt when you treat AI like an it like this tool off to the side and and you just say you know make

20:26

me a LinkedIn post about job loss it will make you a LinkedIn post about job loss but it will feel cold and generic

20:31

and disappointing but when you put in a U prompt when you feed it you that's

20:37

when generative AI wakes up and it amplifies your genius and so what does that mean put you in there well put in

20:44

your ideas put in your challenges your questions your point of view your personality

20:49

um and and so so that's the that's the big idea is is how do you feed the prompt so

20:56

thoughts questions well I was just thinking back to how I

21:03

became integrated with AI and it was because my brain wasn't working very well at all

21:10

because I had long COVID oh oh wow i That's right i remember you telling me that right and the only way for me to be

21:17

able to do Jack's squat to launch a whole company and like figure out my

21:23

life as an entrepreneur and blah blah blah was for me to use AI like a second

21:29

brain and so instinctively I was like and then and also and here's something

21:36

you need to know because I literally couldn't do it myself yeah and I wonder

21:41

if we like removed our egos from it it's

21:47

because I was pretty I was kind of decimated you know what I mean like I wasn't Well you you weren't in a place

21:52

where your ego was in the fight my ego wasn't Yeah

21:58

right you you you were clinically you your your ego was clinically removed

22:03

right my ego was clinically removed and I was like you know mercy please someone

22:09

sam Alman God the universe I don't know fairy godmother somebody help me and so

22:15

I was willing to just say all the things in hopes that

22:20

something would come back that I could use and and you instinctively discovered a place okay so so this is good so let

22:29

me let me put two example prompts here so an example of an IT prompt would be

22:34

something like write a blog post for designers right it will write a blog post for designers

22:41

but now imagine the result you're going to get back from chat GPT if you put in this prompt

22:47

i'm a confident early career coach that used to be insecure write a blog post in my voice for ear

22:53

early level entry-level designers focusing on confidence using a tone that's warm but direct right so if you

23:01

put in a prompt that is that that gives the context of who you are and your

23:08

point of view you're going to get back something that is much closer to who you are right and so that's kind of the

23:14

shift here um so what I'm about to shift into the the

23:20

the presentation is is about halfbaked right now i've got a whole new idea here

23:26

so what I'm about to walk through is the first three stages of a fivestage

23:32

um experience um and and hang on i think I want to

23:39

show you I'm going to show you a slide that's not ready yet

23:44

but I but I actually think it's really important and it's this one can you see that i

23:53

can't see oh no oh I see i changed something here hang

23:59

on rege left a Reg GFX left a comment ai

24:05

hallucinations prompts without a process exactly exactly if you want to live in

24:11

confabulation you know land use crummy prompts don't

24:17

tell it anything if you if you don't want to have confabulations then write a

24:22

good prompt give it context and then also if you're the human in the loop or

24:28

the expert in the loop you're going to know you're going to see those so many people think that they shouldn't use AI

24:33

because of hallucinations honestly have you ever talked with a human being

24:38

they just flat out lie [Laughter]

24:44

exactly so So I'll talk about this i but I I wanted to so this slide isn't really

24:50

this slide isn't really baked yet but but I'm about to go into a five-step process for how to be really intentional

24:57

with AI okay what hits me though is you okay as human

25:04

beings there's some interactions we have where you're like in the grocery store and you just meet a stranger and you're

25:10

like oh hey how's it going oh I'm doing really good right it's a very low-level um kind of crappy interaction right you

25:18

can absolutely have low-level crappy interactions with AI sometimes you just want to log into Chat GPT and go "Oh

25:23

make me a high coup about whatever i don't care." Right that's sort of like eating Skittles they're not nutritious

25:28

they're tasty but they're hollow then there's other times where you're like I want to log in with AI and and maybe do

25:34

something and that's kind of more of an appetizer you're sort of a deeper level of of engagement and then you know you

25:41

sort of get to the meal and that's like okay I want to actually get something done here and what I'm about to talk

25:46

about goes sort of a step beyond this which is more like a feast where you're

25:52

going to log in and you're you really want to get something done and you really want to have it be there and so that's what I'm about to walk through

25:58

this five-step process um but I think we sometimes conflate you've got this

26:05

incredibly powerful tool that can solve PhD level problems sometimes you just want Skittles you don't need to solve

26:11

PhD level problems and that's okay so what I'm about to talk about is when

26:16

you're sort of at a deeper level of engagement so that's that's this slide is is kind of turned off for the deck

26:23

but um okay so step one I'm calling set the table

26:30

and and this is the thing that was inspired by CJ Fletcher um which is sit

26:36

down at your prompt the first thing you do right if we're gonna if we're gonna take this food metaphor all all the way

26:42

down first thing you're gonna do is you're gonna set the table so you're gonna think about okay what do I want

26:48

the experience to be be like tonight who's going to be at this table um what do I want them to eat what kind of

26:53

experience do I want them to have so if you sit down at your prompt before you start typing and dive in ask

27:00

yourself well what what do I want out of this right what do I what do I want to generate who's it for what are my goals

27:08

right so step one is actually to know what you want one of the biggest

27:15

disappointments with AI is people sit down and maybe in their head they know what they want they type in a prompt and

27:21

it gives them something that's not even close and they give up because they haven't really thought

27:26

about what is it that they want in this session so that's kind of step one make

27:31

sense yes okay step two is like the ingredients

27:40

um the ingredients for the for the prompt right and you might have

27:48

and this the metaphors here are kind of wrong but but your ingredients are like okay I want

27:55

this to be a marketing plan and I want it to be for this kind of audience and that kind of thing you can start with

28:01

really simple prompts or you can get more sophisticated and we'll talk about that but but kind of step two is once

28:08

you understand what you're trying to accomplish then you can say okay you

28:14

know my core ingredient here is chicken right and then I've got these other ingredients I'm going to put in that

28:20

make it special and I've got these spices and those other ingredients might be things like um who's the audience

28:26

what are the goals what's the output type things like that and so the step two is to actually craft the prompt to

28:33

think about the prompt make sense yep and then stage three is

28:42

not to expect the result of that prompt to be done that that what you actually

28:49

are entering into is a collaboration so if we if we take the the restaurant metaphor it would probably be Gordon

28:55

Ramsay instead of Rick Rubin when you enter into a collaborative relationship like this you're the chef

29:03

and we've all seen the bear right the the the restaurant show the bear right or we've seen Gordon Ramsey what does

29:09

everyone in the in in the kitchen always say yes chef yes chef what the chef is

29:15

doing so you're the chef and AI is your sue chef and so you've thought about

29:22

what you've wanted you've put in a prompt and now it's generated something and then now you interact with it and

29:28

you interact with it like a collaborator like a producer like you're you're the boss you're the chef no that's not quite

29:35

what I wanted yes chef oh you burned the onions that's awful yes chef right so you get to now tell AI

29:43

what it's done good what it's done bad and

29:50

you don't have to settle for what it gave you you enter into this collaboration and there's another piece

29:56

of this that is sometimes if if the if the sue chef burned the

30:02

onions right it was they were just supposed to caramelize them but they burned them and they got crispy

30:07

and then Gordon Ramsay picks it up and he's like "What is this crap you burned the onions." And then he bites them and

30:13

it's kind of tasty and it's like nothing he's ever tasted before he's like "Wait a minute this is maybe not bad burn the

30:20

onions on purpose and let's let's try to build that in." So one of the one of the joys that happens with AI is it gives

30:27

you something and you get a happy accident and as the chef as the producer as the Rick Rubin you can go "Oh that's

30:34

a happy accident let's run down that rabbit hole and see see how it goes." So now you're in sort of preparing the meal

30:41

right and then when you get it to where you want the the steps four and five that I don't have slides for step four

30:48

is okay now that you've got what you want you refine it and plate it right which is maybe I take the images that

30:54

were created and I go into Photoshop and make them better or maybe I put all these ideas into a PowerPoint i'm going

30:59

to go present you know whatever was created to the world i'm going to put it in the actual email that I'm going to

31:04

send out and then step five is talk about what you learned right the learn

31:09

out loud piece say "Hey I just had this really remarkable interaction with Chat GPT and

31:16

you know we're off to the races and it it did really good at this it did really bad at that and what you're doing in

31:23

sharing it with the world is you're establishing yourself as an expert you've got some credibility things like

31:28

that so that those are the those are the five steps so so step one think about

31:33

what you want step two craft a prompt that is all the ingredients you need to

31:38

have that meal that you want four is this collab or three is this collaborative phase back and forth with

31:45

the chef yes chef yes chef here's here's everything that you need and then put it all together and put it in the world and

31:53

then talk about your experience so that's kind of the that's kind of the new the new thinking um and then the the

32:01

other thing that I'm thinking about with this presentation is the ability to the

32:07

the way it's set up right now this is for an individual to experience AI and to experience it in this in this you

32:13

know less machiny kind of way in this more amplifying kind of way you can also do that for a team so rather than saying

32:20

here's what I want you could say here's what my team needs here's what my company needs right so you can take that

32:26

same personal point of view and put it in a Wii format and now all of a sudden

32:31

you're getting that same personal benefit and the same control that you get when you're doing it individually

32:37

but you can now do that for your team or your company yeah and that's like building the recipe

32:44

that's gonna stand the test of time but that like each person may add their own

32:49

little flare to it well and there might be multiple people working right if it's

32:55

if you're doing a little dinner for two that's very different than I'm doing a dinner for a thousand right like it's

33:01

it's going to be a completely different more complicated mechanism but you can still take the same very personal point

33:07

of view approach um and then this is basically it when you feed your prompt with p purpose personality and potential

33:14

when you feed it you it will change amplify your genius yep

33:21

so everything about this I think makes so much sense and I love that it's a

33:29

metaphor that everybody can understand and it's such an important

33:36

distinction between treating it like a genius and treating it like a you know a

33:41

collaborator someone something that is hungry for

33:47

background context they want to do a good job right like the super smart intern metaphor like they're going to

33:53

run through a wall for you but you can't like they're they could do so much damage if you don't tell them what to do

33:59

i feel like there's maybe another part of the metaphor which is um like if

34:05

let's say you you're like yeah I want to I'm going to go try some different kinds of food

34:12

and you go to Baja Fresh to do that like you're going to get something yummy

34:17

there's no question we all probably have our favorite things at different fast casual restaurants but let's say

34:22

somebody gives you a gift certificate that expires in at the end of the month

34:28

for like the French Laundry or Zoney Cafe or like you know whatever some fancy multicourse over-the-top just

34:36

delicious place everything is ridiculously expensive you would never go there right but you knew that you had

34:45

to spend the money you had to spend the gift certificate so you're like well I'll just order the left side of the

34:50

menu right it's like that because I you know we've

34:56

talked about before like I feel that one of the limitations with people feeding

35:02

their prompt is that they've never been asked for their input for their context for

35:09

their perspective point of view personality like they've been they've come up in a setting where their context

35:19

was not important to anybody wasn't part of the plan and so if you think about

35:24

there's some kind of like a a m a mental shift mindset shift toward you can have

35:33

the multicourse meal you can have the most delicious dessert if you want it

35:38

but you have to ask for it and here's how you ask for it and and you deserve it you deserve to have this delicious

35:45

thing so tell us all the things so you can get it

35:51

well I wonder if the this is this is the the the thing where

35:58

this is part of the code I haven't cracked yet and Kelly Camp talks about this a lot you and I have talked about this a lot

36:06

i think that it is impossible to describe to someone what the feeling is like when you have that Kevin Mallister

36:12

moment with AI when you have that moment where you're like it can do that

36:18

you it's impossible to describe that to someone in a way that they will experience that revelation right and so

36:27

the the your point about listen someone could exper you know someone could transform themselves in four in four

36:33

hours you know they could learn enough about Chachi PT to totally transform themselves in that four hours they would

36:38

likely experience some re Kevin Mallister moment this aha moment right

36:44

what I don't quite know is how to make it you know sort of instantly apparent

36:50

that that it can change someone's life i was talking to someone today that's

36:55

working with me on this branding stuff and they said she she was asking a question she was asking a clarifying

37:01

question about like why am I doing this what am I trying to frame and she was starting to get it and she goes "Oh." She goes "I've got a friend and she's

37:09

going through a phase right now with her son where he won't eat anything round."

37:16

Which oh my god poor honeys which which I thought oh my god that's perfect right

37:21

like like because that is exactly the kind of thing where you could go into chat GPT and you could say I'm a mom

37:30

this has been going on for six months i'm at my wit's end my son won't any eat

37:35

anything round here are the things that are out of bounds here are the things that have inbounds like give me a

37:40

strategy and give me a shopping list for the week right like that is totally something chat GPT could instantly get

37:47

so like like I'm either thinking that what needs to be a part of this presentation is

37:54

examples like that yeah or just do some danger living and bring someone up on

37:59

stage and maybe bring someone up on stage who is a skeptic

38:04

just learn something about them and learn someplace that they're stuck right

38:11

yeah exactly and Yeah what what how do

38:16

you do that how do you how do you because

38:23

you know how that you know that saying about aspirin versus vitamins like you know people want aspirin they don't want

38:29

vitamins vitamins we kind of sort of think they work like you can kind of tell when you're taking them maybe I

38:35

don't know so I sp I mean like you know omega3s and whatnot like they're

38:42

expensive I don't feel I don't know $45 for one of 17 supplements I need how

38:48

about No I know exactly how about I'll just be deficient in that yeah right i mean I've done it before and they don't

38:55

make pill boxes big enough for the number of vitamins we're supposed to eat exactly but when I have a headache and I

39:01

take the aspirin and I feel better it's like now I understand yeah and maybe

39:07

that's it maybe there's some way about

39:13

connecting like the the the promise of this approach is if you learn to feed your prompt you you will get superpowers

39:21

which sounds good on a t-shirt but it's like what does that actually mean and I think it's like could we actually s show

39:28

someone getting superpowers in real time right if if if we brought that mom up on stage and she's like "Yep I'm

39:35

exasperated here's the thing." And we just went into chat GPT live and said "Okay come up with a non-round menu."

39:42

And bang out come recipes out come the right foods to buy up come to prepare them

39:48

and then just ask her "Would this make you look like a superstar you know to your son?" She would be like "Uh yeah."

39:53

Yeah and that's a lot like I can just go do this now all right yeah i'm ready to go to the store right now right so well

40:02

but however the I think an example of your progression from from Skittles

40:09

which my mouth still waters every time even though I've already seen the Skittles now I say it I'm Pavlov's dog

40:16

now my mouth starts watering again skittles through appetizer through

40:22

through meal the Skittles version is send me nonround foods the appetizer

40:29

version is send my son you know you are a wonderful chef for children with uh

40:37

eating peculiar peculiar specificity whatever um the the the interest the

40:44

thing of the day is no round foods also keep in mind I've already tried all

40:51

square foods so don't send me you know square foods aren't as interesting to my son other shapes are good and by the way

40:59

if it includes a vegetable all the better well yeah but that could be a thing i still want him to eat nutritious

41:05

i still like I want creative solutions right yeah the context i've already

41:10

tried baked chicken it doesn't work so you know he seems to like some meat if

41:17

it's stewed or whatever like so that then you're going to pop out you know a

41:23

solution that is like "Oh that's something that she hasn't tried yet that fits with all the context that she gave

41:30

it." Versus if people say "Send me non- round foods." They're going to get foods

41:35

that that may they're not round it's true they're definitely not round but

41:41

they may not be right up her son's alley but if she feeds her prompt very much

41:47

more likely right yeah yeah and she was saying it was it was like a very peculiar peculiar kind of round like

41:54

hamburgers were out you know but but like maybe an orange was in if it was cut right or something

42:01

like that so um so anyway but but there there could be because

42:09

if you think about AI as an it what that mother might have

42:15

heard is oh chat GBT can make recipes and she's like oh okay great it can make recipes do you know I'm dealing with a

42:22

kid here that won't eat round food like like I don't care about your stupid chat GPT right because I don't care if it can

42:28

make recipes that's not what I'm dealing with right now yeah so then maybe part of it is well but you could if you fed

42:34

it you it would give you the thing and so you're what you're talking about is if you give it more and more context

42:40

your solution will get better and better and better so I think there's something about you

42:47

know either is there an example or two that are so crystal clear so crystal clear that that it makes it apparent to

42:55

for someone you know how to put their context whatever they're trying to

43:00

accomplish into this thing or just design into the presentation we're going

43:06

to do it live we'll do it live we'll do it live so one of the things that I

43:12

notice when I do like hey who what tell me what's on your to-do list what's a big project what's a deliverable that

43:19

you're working on people people will automatically break it down to tasks

43:25

right they'll be like "Oh well I have to write a letter you know?" And you're

43:31

like "Well for what?" and they're like "Well you know we're having this big event with all these elected officials

43:36

and blah blah blah blah blah and I need to recruit them blah blah blah." And you're like "Well your desired outcome

43:41

is actually having that person there to deliver a speech that motivates your

43:48

audience to take action which is vote or something like that." And that's that's

43:53

step one of this five-step process step one is Yeah don't get out of the tasks

43:59

for a minute yeah and figure out what are you trying to accomplish right so one of my one of my co well Louisa

44:06

Milano she taught me don't stop thinking about how not with AI but in general in

44:14

life don't worry about the how the how will figure itself out but if you are

44:19

focused on the how you're not going to get that big dreamy vision you're going

44:24

to get this you know smaller

44:29

less impactful version of stuff so like it's kind of like that with AI like you don't have to tell it how you just have

44:37

to tell it about it this thing Steo just put I just ramble into the chat hole let

44:43

Chat GBt figure it out we go back and forth till it works and I always ask what would you change to make it better

44:49

right that's that idea of treating it like this this collaborator in the kitchen right and it really like like

44:56

the I think the chef metaphor is a good one because the the yes chef thing I feel like chat GPT is very much yes chef

45:03

what can I do for you what can I do for you what can I do for you and and if you just keep you know sort of meandering

45:10

meandering your way towards something especially if you know what it is you will get there

45:16

you know how samoes will talk to you about your pallet and

45:22

like where the the the whatever tera and all those words they're kind of a

45:29

consultant right about it they're learning i don't know herwah terw

45:37

or or or hills I don't know one or the other um but a samoleier

45:44

draws that information out of you their job is to make sure that you don't send

45:50

back a $1,000 bottle of wine because they poured a centimeter of it and you didn't like it because it's for they

45:56

forgot to talk to you about the teroir ter so if it's if you kind of think

46:02

about it as AI is a little bit like the samoier in order to give you a

46:08

recommendation that you really like that's a home run that's Kevin Mallister you have to confess you have to tell

46:14

them what you need what you like what the story is right y maybe one time you

46:20

went to a wedding and you drank way too much froze frozen rosé and you just

46:26

can't drink that anymore right they need to know that and check or AI in general

46:31

needs to know the backstory

46:37

give me three options yeah Rick I do that and I also do the thing at the end where it asks you Yeah ask what you

46:43

didn't think of i like that Rick i also do um ask me three questions one at a

46:49

time to help us be successful in this project because I forget to tell them stuff you know what was that one

46:57

oh terra kind of territory where wine cames from just in case you wondered here we go see see I did I did wonder my

47:05

My husband would die he's a wine snob i don't listen my brain turns off it's

47:11

like giving me directions yeah when you talk about wine I'm just like

47:16

no longer listening are you pouring it yet no I'm good

47:22

so what else about feed the prompt what are you gonna do with this

47:27

information that you're working on um it's going to become a book it's going to become a keynote

47:34

um the I'm working with this branding agency and their whole thing is you get

47:41

to sort of this core essence that is the start of everything and so feed the

47:46

prompt is that thing and then everything else flows out from that oh and so it is

47:52

a it is a very nonAD kind of approach because my approach would be all right

47:58

I'm excited about feed the prompt this week but next week it's going to be ski your ski over your tips and then the

48:05

next week it's going to be boat in in rough seas the box metaphor

48:12

yet right like it's always some new thing and so this is a new approach for

48:17

me to like take a single thing really refine the crap out of it and then have everything flow out of that yeah that's

48:23

what we're supposed to do yeah and and what I'm excited about is it it very much starts with the individual but it

48:29

it scales out to the team and then this can be you know deep training can all

48:36

sorts of stuff can come out of this so nice but again I I think the thing of

48:44

and and this goes back to the very beginning of the conversation where you started with your you know the your your

48:49

colleagues that are kind of not stepping up to this is how do we get people from

48:56

seeing AI as a thing that they have to deal with as opposed to a thing that

49:02

they're lucky enough to get to use right like if if you know that this tool is

49:07

going to amplify who you are and it's going to make all of your ideas bigger and better and it's you you're going to

49:14

be able to start a business you're going to be able to keep that job you're going to be able to do all the stuff you wanted to do like how do we get people

49:21

in touch with that and not feel like it's this non

49:28

like nonh human I'm not it's not a human thing but it is

49:34

it's an it's an augment it's an amplifier it's an amplifier of you but

49:39

only if you treat it that way i I don't know I don't have the answer yet

49:44

okay well here's one thing it is a bit of an antidote to

49:53

perfectionism in that it's going to allow you to do the very best work of

49:59

your life so if you're like or maybe you're an external validation person

50:05

right so let's say you're wanting a client you're wanting your boss you're wanting somebody to be like "Wow that

50:12

person produces amazing work product." This is how you're going to do it you're

50:18

going to create the most amazing work product you're going to like you know move the needle for people you're going

50:23

to take all of your expertise the hard one expertise and now you're going to take it to the next level which you

50:29

thought you could never possibly do like so many well the Gen Xers right we've

50:34

got 20 30 years of subject matter expertise what more do we have to learn in our fields not that much but you take

50:41

AI and all of a sudden you've got this new reservoir of excellence so for the people who are like typeA

50:48

right who are who have always gotten A's who can't accept a B who can't accept a

50:54

B minus right for those people like this is how you're going to get to the very

50:59

tippy top of self-actualization right is by being able to do the very

51:05

very best work that you've ever done also if you like money like if you like

51:12

money but a lot of what you're talking about though is selfarters

51:18

entrepreneur types like how does how does this translate to

51:24

someone to your point who's never given their point of view who doesn't know

51:30

who's not ambitious they just want to keep their job how do we get them excited about it i

51:36

don't like that's the piece

51:41

this does require some level of ambition some level of curiosity so is there a

51:47

way maybe this is the maybe this is a question I need to ask myself as I'm working on this is there a way to get

51:52

someone who is either completely unaware of of that AI is even here or they're

51:58

actively against it how quickly can I get them from no or I don't care to huh

52:07

that's interesting i'd like one of the I'd like that yes right like I feel like

52:13

what is the shortest distance between to your point starts talking and you're

52:19

like I'm out the minute someone starts talking about AI they're like I'm out

52:24

i'm here because the boss told me to be here right yeah how do we get those people in that room within five minutes

52:32

to be on the other side of that like huh I don't know you pamela makes a really

52:39

good point in the comments and I know what I know kind of the context of what she's referring to once worked in a role

52:45

where requirements were she had to you know that that people had to say what they thought they needed people

52:52

struggled to articulate it and for those of us who do this kind of stuff for a living we know that what people want is

52:59

very far often from what they need so getting people to think about that

53:05

and articulate that is challenging but yeah I think time time to value and it's

53:12

got to be really a light lift i don't know but on the other hand you know what

53:18

don't you think people who are starting out with AI

53:23

we're used to valuing things that are hard if it's hard it's good if it's easy

53:29

it's bad i I I think absolutely i think this is industrial revolution hangover

53:34

it takes if it takes you four hours to do something it is worth more money than if it takes you five minutes right right

53:41

and I think that is a I I think that could be a thing when they're like "Oh

53:47

if if you're saying "Hey I can do it in five minutes then I know it's not worth anything because I know that this takes

53:53

me four hours little miss you know." Yes right yep yeah yeah vicki's like "Sell a

54:00

solution." Absolutely i think so i heard the other day um this woman her is uh

54:07

Christa Tippet or Kristen Tippet she's like a kind of a meditation

54:14

like her podcast is called onbeing and she's pretty famous she's been around doing this stuff since the beginning of

54:20

time but she also knows a lot about technology and like she interviewed Reed Hoffman and during that conversation she

54:27

was talking about how she feels like AI is really a placeholder term

54:32

like we're you know it's we we use that as like the thing the protagonist and

54:41

really it's just a solution we're really selling the solutions and we're trying not to sound like charlatans when we do

54:49

se arguments about the web in:

54:55

the language of the web and not call them web pages because if you call them web pages people are going to design

55:01

pages but if you call them things like entrances you're going to design a space

55:07

um people still call them pages so I I think the what we should call AI versus

55:13

what people will call it like I think that ship is sails but if we can get them to associate AI

55:21

is this magical thing that that gives me superpowers

55:27

and and that like is there a way to say this is this is actual magic is there a

55:34

way to say that this is like superpowers are not fictional anymore i like I don't know

55:47

i feel like I need to talk to somebody who really understands the way

55:54

humans work like on a biological basis for moving toward things that are

55:59

positive versus running away from things that are negative i got to figure this out because But the but they're not i

56:06

know it's why the news is the news i know it's why the the the news stories

56:14

are See I told you AI is going to kill you here are three examples where people

56:19

were using it for you know therapy and they and it went bad why was it that

56:24

story instead of the you know 10,000 stories where it went good because no

56:29

one will read the 10,000 no no don't read the other story yeah exactly

56:35

exactly so you know maybe it maybe it has to do with

56:42

empathy and being willing to kind of hold people by the hand and bring them

56:48

along and sit with them have an experience together being handson being

56:53

in a goes back to community it goes back to community you can't do

56:59

this stuff by yourself you have to be able to rap with other people about it you don't have enough hours in the day

57:05

to figure everything out yourself

57:10

speaking of communities do you want to spend our last 120 seconds talking about our communities go yes go okay um so she

57:20

leads pick it up lady we only have two minutes the mission of Sheile Leads AI is to

57:26

unite accomplished women to advance AI for global prosperity so that is some pretty good stuff and we do it in a

57:33

number of ways including our membership community which I've got women I've got

57:38

women Rachel and Pamela are here in the chat everybody every other woman in AI

57:44

is warmly welcome to join us um and we do peer-led education which is where the

57:51

good stuff is happening that's where all of the all of the juice is at it is not

57:57

on LinkedIn it is oh by the way I talked to Josh Houston today and he said that

58:03

they're pretty convinced that the people who are having who are being successful with Agentic AI

58:11

are puppyguarding it from everybody else and that's why you don't hear the success stories oh interesting that

58:18

doesn't surprise me at all so those are the kind of things you learn when you're in community when you're talking to your friends who are AI nerds as well so she

58:25

leads AI you should come and join us people women similarly AI salon um

58:30

that's the uh address to our mighty networks community um so go join there

58:37

we just added the mastermind area which is if you want to level up and be in a tighter more focused community um that's

58:43

starting to grow it's it's really exciting what we're doing in there um so go come join us um and with that um as

58:51

always this was a super pleasure um this was a super pleasure thank you for your feedback um you know like like I I'm

58:59

this was a bit of watching the sausage be made in terms of messaging but that's just where I am right now with it but

59:05

I'm I'm super excited about it because there's something about making it accessible and and getting people in

59:11

touch with they can improve themselves dramatically using this thing that if I

59:17

can crack the code of how to get them on the other side of it maybe we can you know I don't know dissolve some of this

59:23

malaise of wanting to try it change the world nothing short of it you know all

59:30

right fine fine fine i'll change the world fine

59:36

thank you everybody in the comments for hanging out with us today there's so many good tips in here i don't know if

59:43

you can grab these Kyle from from YouTube but like these are good for the for the feed your prompt uh initiative

59:52

beautiful all right everybody thank you so much thank you so much for hanging out with us beautiful evening and we

59:59

will see you next time bye

::

[Music]

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About the Podcast

AI Readiness Project
Forget trying to keep up with AI, it's moving too fast. It's time to think differently about it.
The AI Readiness Project is a weekly show co-hosted by Anne Murphy of She Leads AI and Kyle Shannon of The AI Salon, exploring how individuals and organizations are implementing AI in their business, community, and personal life.

Each episode offers a candid, behind-the-scenes look at how real people are experimenting with artificial intelligence—what’s actually working, what’s not, and what’s changing fast.

You’ll hear from nonprofit leaders, small business owners, educators, creatives, and technologists—people building AI into their day-to-day decisions, not just dreaming about the future.

If you're figuring out how to bring AI into your own work or team, this show gives you real examples, lessons learned, and thoughtful conversations that meet you where you are.

• Conversations grounded in practice, not just theory
• Lessons from people leading AI projects across sectors
• Honest talk about risks, routines, wins, and surprises

New episodes every week.

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Anne Murphy