7/1/2025 - Building AI Workflows: A Raccoon, a Goat, and Google's Vo3

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0:01 Are you ready
0:03 to fall in love?
0:08 To fall in love right now.
0:19 [Music]
0:28 [Applause]
0:31 There's been something maybe I'm trying
0:34 to say.
0:38 Didn't seem to know.
0:44 Past and a future now surrounding me.
0:47 [Music]
0:49 Surren
0:51 can be found.
0:54 There's been a little trouble
0:58 since you came to my rescue.
1:02 [Music]
1:05 And if you like all of the rest, I would
1:08 have quit you long ago, but I couldn't
1:10 do that.
1:14 [Music]
1:16 Oh, tell me now.
1:18 Why never went to
1:23 make a man crazy and make him cold as
1:25 hell.
1:29 I don't know that you wish me well.
1:33 But in spite of your try, still going to
1:36 have to find my way through.
1:42 [Music]
1:44 Like a distant morning, my dream remains
1:51 hanging in the burnt fields of my
1:52 memory.
1:54 [Music]
1:58 Time is a chorus of your disdain.
2:05 left behind me.
2:08 We're searching solutions on the double
2:12 on this two telephone home.
2:18 My friend says you ain't got no real
2:20 troubles.
2:22 There's too many choices that you're
2:24 left undone.
2:30 My friend says, "Put an action to those
2:32 words." Put an action to those words and
2:36 it all go.
2:38 [Music]
2:41 Oh, tell me now. Wonder why I never went
2:45 to Well,
2:49 make a man crazy, make him pot as hell.
2:52 [Music]
2:54 I a woman that you wish me well,
2:58 but I'm spotted trying.
3:01 Still going to have to find my own way
3:05 through.
3:09 [Music]
3:15 Oh, good people. What is happening? Hope
3:17 you're all doing well.
3:19 Had a lovely AI salon tonight. I am
3:22 crispy as a critter. So, but we have a
3:25 Tik Tok question
3:28 from
3:30 I can't say your first name. Bishop.
3:33 Wait, can I say your first name? Ros.
3:35 Russ. Risk.
3:39 Rick. Rick. I can't say your first name.
3:42 Bishop. Um, did you know they've banned
3:46 AI in courts in the UK use in the UK
3:49 because it's transmitting I assume this
3:51 means personal data. I didn't although I
3:54 couldn't see it.
4:00 [Music]
4:27 Um, no, I did not see that. It doesn't
4:29 surprise me.
4:31 Um,
4:35 there's a really cool new tool out
4:37 called um,
4:40 Cluey. I think it's called Cluey.
4:44 And basically what it is is it's a layer
4:46 that sits on top of your computer
4:50 and it looks at everything.
4:52 So, it looks at you using your email and
4:54 it looks at you using the tools you use
4:57 and then it's sending everything that
5:00 you're doing off to the Cluey servers to
5:03 be analyzed and then in real time it's
5:06 giving you
5:08 intelligence, which on the surface
5:10 sounds really cool, but I'm like, I
5:13 can't even [ __ ] test that because
5:15 it's like I've got client data and [ __ ]
5:18 I can't have a system that just looks at
5:21 all my [ __ ] and sends it off to some
5:24 [ __ ] server on the internet.
5:28 So, I don't know how these like these
5:30 super slick technologies are slick and
5:34 cool, but how's anyone going to use
5:36 them? Nice hair. Yeah, I know. I know. I
5:39 listen here. I'll put a little coffee in
5:41 it.
5:44 Is that better? No.
5:48 Well, you get some nights you get hair,
5:51 some nights you get Buster Po. Dexter
5:54 Source Camp is in the house.
5:59 You don't want to say the first half of
6:00 my username? [ __ ] [ __ ] Bishop.
6:04 I'll say it.
6:07 What are we in? Junior High. Yeah, I'll
6:10 say it. I couldn't read it. I didn't
6:13 know what it said, but it was
6:15 interpreted by producer Brandon. So,
6:17 yeah, I don't mind saying your name.
6:21 You've never been here before, have you?
6:23 I swear like a sailor. I don't give a
6:25 [ __ ]
6:28 This is not the uh
6:31 this is not the uh evangelical network.
6:36 [Music]
6:40 what we're doing here.
6:46 Just trying to figure out how this AI
6:48 shit's going to rock our world and be
6:53 rocking AI rather than have it slap us
6:56 upside the head.
7:00 You're gonna get banned on LinkedIn.
7:08 LinkedIn.
7:11 Yes. Hello. This is a uh this is a
7:13 public relations uh uh representative
7:16 from Microsoft Corporation. Of course,
7:18 we uh we we uh are are the uh majority
7:21 owners of the uh of LinkedIn, which is a
7:25 a business networking environment. Uh we
7:28 prefer for that network to be uh what we
7:30 would call uh abide by professional
7:32 standards. And uh it's come to our
7:35 attention that on on your AI learning
7:37 lab uh live situation uh there were
7:41 profanities used uh within a a span of
7:45 uh 7.6 uh two minutes that uh that
7:50 exceeded the community guideline uh
7:52 acceptable uh uh requirements for for
7:57 acceptable language in a professional
7:59 setting. And uh with this just let know
8:03 that this call serves as a warning.
8:06 Nothing will happen to your account
8:07 right now. Uh but you do have one
8:09 demerit and if we reach three demerits
8:12 for community guidelines uh standards we
8:15 we we can and will we reserve the right
8:19 to uh restrict uh the the channel the
8:23 reach of the channel. Uh basically no
8:25 one would see it. Just to be clear, not
8:28 to use fancy technical language,
8:30 restrict access. No, no. Just no one
8:32 will see it. Uh for a period of seven
8:34 days or uh what one week if you're in
8:37 the United States, that that's what they
8:38 would call a week is a se it would be a
8:40 work week would be five days, but this
8:42 would be a full seven days. Uh including
8:44 uh two days, which may fall on the what
8:47 you would consider a weekend.
8:50 All right, I won't [ __ ] do it again.
8:53 I promise.
9:00 Ah, Side Hustle Mimi, what's happening?
9:03 And Murphy's in the house.
9:06 Do you mourn the dash of the loss of the
9:09 M dash because AI detectors flag it?
9:11 Actually, I do. I you know
9:15 the M dash
9:17 is is actually an important piece of of
9:21 grammatical functionality
9:24 and and yeah the fact that everyone's
9:26 like oh it's got an M dash in it must be
9:28 AI well or not
9:31 someone who understands English
9:34 and and words and grammar
9:41 Ethan Mullik did a piece on on it where
9:43 he was like, he's got to switch all of
9:44 his m dashes to commas or whatever,
9:47 semicolons, whatever the [ __ ] he uses.
9:51 [Music]
9:54 As an English major, I completely agree
9:56 with you on the analysis of M dashes.
9:59 Yeah, we
10:01 Yeah.
10:06 [Music]
10:15 Hello.
10:17 Hello.
10:19 Hello.
10:21 [Music]
10:33 Well, I heard that there was a secret
10:39 [Music]
10:40 David played and leaves alone.
10:45 [Music]
10:47 You don't really care for the music, do
10:50 you?
10:54 Goes like this. The fourth, the fifth,
10:58 minor fall and a major lift.
11:02 Baffful king composing.
11:05 Hallelujah.
11:07 [Music]
11:10 Hallelujah.
11:11 [Music]
11:15 Hallelujah.
11:16 [Music]
11:19 Hallelujah.
11:20 [Music]
11:22 Hallelu.
11:28 [Music]
11:35 Um. All right. What are we going to talk
11:37 about tonight? EU death of the M Dash.
11:40 What else we got? What else we got? What
11:44 are we doing? Hey, James Duter with
11:46 shaking
11:48 [Music]
11:54 and Murphy coming up to talk. Are you
11:57 ready for AI? Let's do it. Let's bring
12:00 it up. I think I have an Are you ready
12:02 for AI banner
12:04 now that I think about it? My mouse
12:07 isn't working, so that's frustrating.
12:11 [Music]
12:12 Look at that. Look at that. Look at that
12:15 right there.
12:17 Uh, let's talk about what didn't happen
12:19 today. We didn't get chat GPT5 today. I
12:22 didn't see any major releases today. I
12:24 didn't see anything that was interesting
12:26 that was released.
12:28 Oh, yeah. Or that that one.
12:35 [Music]
12:38 So
12:41 beautiful. So, uh, if Ann's coming up
12:44 here, we'll bring her on up.
12:47 Um, we can talk about that.
12:51 I got to get my mouse working. There we
12:53 go.
13:05 [Music]
13:20 couldn't get chatbt to agree on the
13:22 world's best soccer player. Well, it's
13:25 not going to. It's I mean, it's been
13:28 programmed to want to please you and if
13:30 you if if it declares love for one
13:33 player, then you're gonna it's going to
13:35 piss off someone else. So, I could see
13:36 it not doing that.
13:40 All right, Ann Murphy, get your ass up
13:41 here.
13:44 What's shaking?
13:47 As long as I know C, obviously. I know.
13:50 Jeez. I know, right? You are, you know
13:54 what I was thinking is you are a you are
13:56 a person who is perceived
13:59 much more than the average bear is
14:02 perceived cuz you're out here and people
14:04 are just like perceiving you all the
14:07 time. Perceiving me how though? Well,
14:10 adoration obviously. Oh, adoration
14:14 because there's a lot of ways you could
14:16 perceive me and many of them are not
14:18 good.
14:20 like like your character from LinkedIn.
14:23 He's he he's perceiving you. Yeah. Well,
14:26 there was that was that was you get in
14:28 trouble. I I was I apparently cussed a
14:31 little much and producer Brandon said
14:32 LinkedIn's not going to be happy about
14:34 that and then it just made me think
14:35 they're owned by Microsoft and of course
14:37 they're not going to be happy with it.
14:39 No, they're not going to be happy with
14:41 it. But guess what? like to helpers.
14:45 They're letting some for real [ __ ] Oh,
14:47 there's some real for real [ __ ] up
14:50 [ __ ] happening. Way to get me kicked off
14:52 at LinkedIn again.
14:55 You realize I have to manage this,
14:56 right? When I get the call from the
14:58 Microsoft representative. Yeah, they're
15:01 gonna somebody's going to call you
15:02 specifically. That's it. They're gonna
15:05 be like this guy. Okay, but listen. Um
15:09 the AI readiness program. what I was
15:11 thinking about. Yes. Do you want to say
15:13 something about it? Because then I have
15:14 a couple a couple things to say. Well,
15:17 so let me So, so for those of you that
15:19 don't know, Ann and I around the turn of
15:21 the holidays did this thing called AI
15:23 Festivus where we had 34 speakers come
15:25 in and speak on AI over a 24-h hour
15:28 period. Really remarkable event. We had
15:30 three 3,300 people sign up, 2500 people
15:34 show up. We had a we had a concurrent
15:36 average of like 540 people for 24 hours.
15:39 It's amazing. Um the the talks were so
15:44 good that the participants were like,
15:46 "Can you please turn this into a
15:47 training?" And so we have spent the past
15:50 pile of months um working with uh Vicky
15:55 Baptiste to to organize the videos in
15:59 logical groupings and then develop a
16:02 whole curriculum around it. That course
16:05 launched today. And so if you go to are
16:08 you readyforai.com, if you could pop
16:10 that up, Brandon, the big old juicy. And
16:13 by the way, this is our quiet launch
16:16 because we're having a real launch.
16:19 Yeah, this is we're in pre-launch, but
16:21 we're always in pre every at some point
16:25 we'll launch. Well, what we do is we
16:27 launch, Ann, and then we're like, maybe
16:28 we should figure out what we're doing.
16:30 Well, like we'll we'll call this
16:31 pre-launch until then.
16:33 We'll make it We'll make it seem like we
16:36 This is exactly how we planned it. It
16:38 was all planned. Everything is all
16:40 planned within five minutes of it
16:43 launching.
16:45 [Music]
16:48 Um,
16:50 so here's what I want to say about it.
16:52 So, peeps. So, this is a You just call
16:55 me Pete. Peeps. Peeps. Oh, Peeps. Okay.
16:58 I thought you called me Pete. I was
17:00 like, "Pretty sure she knows my name." I
17:03 have a um I have a joke to tell you.
17:07 Go on. I have a feeling this is going to
17:09 be a regret. This is going to be worse
17:11 than worse than being perceived.
17:14 Pete and repeat fell off the boat.
17:18 Who was
17:20 wait? No. No. Pete. Pete and repeat. How
17:23 does it go?
17:25 Repeat. We're on a boat and Pete fell
17:27 off. Who was left?
17:30 Repeat.
17:32 I was supposed to say repeat and then I
17:35 tell the joke again. Oh. Oh, I see. I
17:40 get it. Yeah.
17:42 Wow. Okay. Listen. So, the AI readiness
17:46 program, what I wanted to say about it,
17:48 this uh this public service
17:49 announcement, just don't let your
17:51 parents do drugs.
17:53 [Laughter]
17:56 I'm sorry, Ann. Did I interrupt you? Go
17:58 ahead, please. You did. Yes. Yes. So,
18:02 I was actually just going through all of
18:05 the curriculum because I want to make us
18:08 like a project or a GP like a knowledge
18:10 bank, you know, to to go back to.
18:13 And I just first of all, the job that
18:16 Vicki has done in putting the content
18:18 together is incredible. But I was
18:20 thinking about how
18:22 of all of the faculty who we had and
18:26 we've been able to pay attention to
18:28 their like you know their movements
18:31 since festivist so late December pretty
18:34 much beginning of this year the
18:37 accomplishments of oh yeah just in the
18:41 last six months you know think about Kim
18:44 Offford had her playground pastime film
18:47 festival film film contest. Like, yeah,
18:50 that is a huge undertaking. Like, Joy
18:52 Party seems to get accepted into every
18:55 creative program that exists out there.
18:58 Yep. Think about how people's artwork
19:01 has gone from like Oh, or then also just
19:04 the number of reps. Kelly um Bosch,
19:07 Kelly Bosch, is that her last name? Yep.
19:10 you know, or the daily AI show folks
19:13 like we're talking what
19:17 180 more reps for everybody of the
19:20 things that they do daily like you and
19:22 it's just like the compounding effect
19:25 and then like the network of these
19:27 faculty because I think one of the
19:29 things that people really liked about
19:30 Festivist was how down to earth AI
19:33 festivist is how down to earth everybody
19:35 is. Yep. They were so relatable and here
19:40 we go. Like we're watching all of them
19:43 and invested in their success, but like
19:46 we feel like we're along with them.
19:49 Yeah. Yeah. No, we are. We are. So cool.
19:52 Yeah. It's so cool. It's so cool. So
19:55 anyway, so go check out are you
19:56 readyforai.com
19:59 and yeah, I guess this is not the
20:01 official launch, but it is now live. So
20:03 what you can help us do is troubleshoot
20:05 it. See if Yes. No, for real. Connected
20:07 correctly and, you know, all that sort
20:09 of stuff. We need like a couple of, you
20:12 know, a couple of freakouts before we go
20:14 live live. So, yeah. Yeah. Yeah. And
20:18 then, um, another thing is that Vicky
20:21 Baptiste will be on the AI readiness
20:25 project on I think um,
20:31 15th, 7th, somewhere in there. Okay. and
20:35 she'll be on to talk about the program
20:37 so people can look forward to that.
20:39 That's awesome. Very cool. You're just
20:42 You're just booking all the right
20:44 guests. I know. I know. I've got friends
20:46 in high places. You know what I'm
20:48 saying? Producer Brandon said it's the
20:50 16th when Vicki is on our show. Okay,
20:53 perfect. So, we're recording on Sunday.
20:55 She'll be on on the 16th. And then you
20:58 guys have a a AI salon on the 15th or on
21:02 the 17th?
21:04 Whatever's the third Tuesday.
21:07 Okay. So, that's the one I want to
21:09 invite Sheille's AI to because it's a
21:12 meet and greet and half of our people
21:13 are good. Oh, that would be awesome.
21:15 It'd be awesome to have a whole bunch of
21:16 new folks in there. New folks will have
21:19 you're gonna have to, you know, get your
21:21 girlies all fired up. I know. I know.
21:25 You know, yeah, we need our sales squad.
21:28 We We probably should have an affiliate
21:30 program, but anyh who, what's it? Um,
21:33 and then the other thing is I was
21:35 wondering if you could take as an
21:37 exercise on the show sometime
21:40 you created a really cool document
21:44 that's 10 steps of AI readiness.
21:49 Could you like do something cool with
21:52 that that we could send to people when
21:54 they buy the course? Was that was that
21:57 the five stages of AI adoption or was it
22:00 something different? 10. If you look up
22:02 in your in your files,
22:06 is it in Yeah, it would be because you
22:08 probably made it with Chad GBT. Yeah. Um
22:12 10.
22:14 Yeah, you actually made it into a
22:15 graphic, so I don't know. And it was
22:17 before Oh, that was did that for uh for
22:22 the Washington DC trip. Yeah. And we
22:25 used it. Yeah, exactly. Right.
22:29 I'm pretty sure because it was right
22:31 around that time that I got it
22:36 and we sent it to people who joined the
22:38 waiting list and I think I had to
22:41 Photoshop it so it should be on my
22:43 machine here somewhere. M
22:47 look at me remembering J2Z12.
22:52 I think it's really called like image. I
22:54 know I'm not sharing my screen. AI
22:57 readiness.
23:00 [Music]
23:03 No, that's not it.
23:07 Hang on. I can share my screen. I got to
23:10 go find it, though. I'll go find it.
23:13 Okay. And then maybe make a make a movie
23:16 for us for a promo. What do you mean
23:18 make a movie? What's that mean? I don't
23:20 know. Make a VO3. Like on the Tik Tok
23:23 Oh, a VO3.
23:25 We could We could do that.
23:28 What am I sharing? Oh, that.
23:32 Who's the one that's had the gummies
23:34 here? You. My brain is not working. I
23:38 wish I had gummies. It couldn't be me.
23:41 Couldn't be you. It's definitely not
23:43 you.
23:47 [Music]
23:49 Project promotional collateral.
23:52 Oh, program curriculum. Promotional
23:55 collateral. Now, that feels more
24:02 I could actually uh DM it or some give
24:06 it to you right now very easily.
24:09 You could, but but that's not as fun.
24:11 That would defeat the purpose of me
24:14 trying to pretend like I have some form
24:15 of executive function
24:19 readiness. Uh oh. Oh, here comes here
24:23 comes producer Brandon hopefully to the
24:25 rescue. Oh boy. We're not talking about
24:27 the five stages of AI adoption, are we?
24:29 No, we're not. That's on the homepage.
24:32 It's this is the 10 stages. Keep track
24:34 of the number of stages here.
24:38 No, wait,
24:42 wait. Is this the thing you're talking
24:43 about, Ann? Wait. Yeah, this this thing.
24:47 No, not that.
24:49 But this is I think maybe that thing
24:52 that you're showing me might be newer.
24:56 All right, then. I don't know what it
24:58 is.
25:01 I'll send it to you. I think this thing
25:02 is better anyway, so it doesn't matter.
25:05 the the 10 thing or that thing? The
25:07 thing that you just put up there, the
25:08 five thing. Well, maybe I'll figure out
25:12 what the you know,
25:14 it's just like how many people are in
25:16 here? There's 37 people here and 28
25:19 people on YouTube just listening to us
25:21 have a conversation about trying to find
25:23 a file.
25:26 Oh my gosh. Remember when Josh said that
25:29 all we are are people who get paid to
25:31 make files?
25:33 We don't. We get We don't get paid to
25:35 not make files. We get We get paid to
25:38 make files, but we never find the files
25:40 we make. Like, yes, it's our job. Wait,
25:43 we I didn't realize we'd have to find
25:45 the files again. I didn't realize there
25:47 was going to be a test. That's so
25:48 boring. Oh my god. Um, so anyh who, it's
25:52 like a a video or, you know, like
25:56 something something fun. All right.
25:58 Yeah, that's good. All right. I'll get
26:00 on it. And you're leaving, right? Where
26:02 are you going? You're trapesing off to
26:04 some tropical destination. No, it's a
26:07 family road trip to Wisconsin from from
26:10 Oregon. Oh, good lord. You're eating
26:12 cheese curds. You're driving to eat
26:14 cheese curds. We go We go camp in the
26:18 northwoods of Wisconsin every year.
26:20 We're just going to make a family fun
26:21 trip out of We're gonna Yeah, that's
26:24 nice. Yeah. All right.
26:26 Get some fried curds for me. I'm not
26:30 leaving for a few days, so you're stuck
26:31 with me. We have we have send me that
26:34 point and I'll remember what it was.
26:36 What's that ter tomorrow on the podcast
26:39 tomorrow as scintillating as this
26:41 conversation is we actually do this on
26:43 purpose once a week and it's it's
26:47 tomorrow it's called the AI readiness
26:49 project and we talk nearly as coherently
26:52 as we are here tonight. So 4 pm and yeah
26:57 Tara's going to be on there. What's she
26:59 gonna be talking about?
27:01 Um, I think she's gonna be talking I
27:03 think she's going to be talking about
27:04 making stuff and how important it is if
27:07 you're learning to make stuff. Yeah.
27:10 Beautiful. Yeah. All right. Love it.
27:13 Okay. Tio. Bye everybody. See you later.
27:16 Thanks for thanks for popping up. See
27:18 you later.
27:20 All right.
27:22 That was one Ann Murphy. Absolutely
27:24 hilarious. She's talking about files.
27:28 Silver Fox.
27:31 Oh, good lord. Good lord. Good lord.
27:34 Okay. Um, what are we going to do
27:38 tonight? Who's got any questions,
27:39 thoughts? 40 people still still here.
27:42 Must be a slow night. Really? Really? No
27:45 one's No one's got a a uh a hot pocket
27:49 simmering in the microwave. Apparently,
27:51 they're still here watching Ann and I
27:53 try to find a file.
28:01 AI readiness 10 elements of AI
28:03 readiness. I don't know. I just don't
28:07 know people. Let me go look again.
28:12 Search chats
28:17 this framework
28:38 AI readiness accelerator strategy.
28:42 Show scripts.
28:45 Yeah, I don't know. I don't know where
28:46 it is. I got nothing.
28:50 Could it be that?
29:02 Oh, I'm not sharing my screen anyway.
29:04 Doesn't matter. Doesn't matter. Does not
29:07 matter. All right. Who's got questions?
29:10 Who has questions?
29:15 It's on your LinkedIn. Is it?
29:18 [Laughter]
29:23 But see, now I'm going to go look for it
29:24 on my LinkedIn. This is This is like bad
29:27 chat add.
29:29 Too bad we were banned from LinkedIn.
29:35 AI readiness
29:37 10 steps.
29:40 Is it 10 steps?
29:46 Nine skills to learn.
29:52 Ann is DMing me
29:55 where
30:00 uh readiness 10 steps Kyle Shannon
30:04 that's my name. I'm Kyle Shannon.
30:06 Welcome to the AI learning lab
30:10 where we're going to talk about AI
30:11 readiness.
30:15 Oh, yeah. It was an article, wasn't it?
30:20 It's there now.
30:24 What's where
30:28 and
30:30 with complete lack of context, it's
30:32 there now. I don't know what it is. I
30:34 don't know where where there is and I
30:37 barely know where now is. Slack. Ah.
30:40 Okay.
30:47 Okay. All right. Let's see. 10 steps to
30:51 AI readiness. Did I write this?
31:02 Oh, yeah. I did.
31:07 Listen, listen people.
31:11 This is an important lesson. It's what
31:14 they call beginner's mind or monkey
31:16 mind.
31:17 In the beginning, you have an idea.
31:21 You you articulate that idea. You put
31:23 that idea in the world and then you
31:26 forget about it. You just walk away.
31:28 [Laughter]
31:31 10 steps to AI readiness.
31:34 10 steps to finding the 10 steps of AI
31:37 readiness.
31:40 Step one, start with a problem, not a
31:43 tool. I still agree actually
31:46 and and to anyone else listening it
31:48 literally says by Kyle Shannon listen
31:51 listen
31:53 shuk
31:56 this is a really interesting test of
31:59 intellectual integrity. Nah me and
32:02 intellectual don't really go together of
32:06 intellectual continuity.
32:12 Do I still agree with these 10 steps?
32:14 Okay. Step one, start with the problem,
32:15 not a tool. Totally agree with that.
32:18 Embrace the beginner's mindset. Approach
32:20 AI with curiosity and willingness to
32:22 experiment. Yes,
32:24 just start using it and brain dump.
32:28 Absolutely agree with this. Who wrote
32:30 these? These are genius. These are so
32:32 good. So good. Step number four, focus
32:36 on practical, quick wins. Look for
32:39 small, manageable wins.
32:42 Don't redo the Don't Don't recreate
32:45 Salesforce as your first project. Make
32:48 like an email writer, an outof office
32:50 vacation thinger.
32:53 Kyle, oh, look at me go.
33:00 Listen, listen. I'm pleased with I'm
33:03 pleased with a version of myself that I
33:05 literally can't remember.
33:10 Okay. Five. Use free AI tools to get
33:13 started. Yes. Mo, there are enough free
33:15 tools out there. You don't have to pay
33:16 for [ __ ] Leverage AI to enhance your
33:19 zone of genius. Yes. Feed your prompt.
33:21 You is another way to put that, which
33:23 has now become a best-selling New York
33:26 Times bestselling book that hasn't been
33:27 written yet.
33:29 Be aware of data privacy and security.
33:32 Absolutely. Don't be a [ __ ] idiot. Or
33:36 how I would say that on LinkedIn is
33:38 don't be a d'shgarn dash gosh darned
33:41 idiot.
33:44 See, I so can't not swear that when I
33:47 try to not swear, I can't pronounce
33:49 words.
33:51 It's not good. All right. Seven. Uh,
33:53 eight. Build your AI in intuition.
33:56 That's be a Rick Rubin. Nine, build
33:59 community or join a community. Yes. 10.
34:03 Focus on adaptability quotient AQ and
34:06 emotional quotient EQ.
34:09 Whoever wrote these
34:12 brilliant
34:13 I 100% agree. Let me look at the by line
34:16 by it was me. It was me. I wrote them. I
34:21 the Yes. What he said. What whoever was
34:26 in my head at the time these were
34:28 written. I agree with that person.
34:35 I'm glad we had this PDF. I'm glad there
34:38 was proof of this, Ann, because Ann,
34:40 quite honestly, I was like, I don't know
34:41 what she's talking about.
34:47 Oh, they came from the presenters. Oh,
34:49 fine. I But why does it say I wrote
34:53 them? Because I curated them, right? So,
34:55 if you're the curator, you're the writer
34:57 of history, then you're the most
34:58 important one. Great. Got it. Love it.
35:01 Perfect. It's exactly what I wanted.
35:04 That's the confirmation I needed
35:07 that I've got no original ideas. I just
35:10 repackage things. I like it. It's solid.
35:14 I think his name was Markdown.
35:20 It was Jason. JSON Markdown is who wrote
35:23 this.
35:29 Oh, good lord. Where's that shock
35:31 collar? We need it. Kyle Kate has it.
35:34 Okay, we found it now. It's We got it.
35:36 It's good. It's good.
35:39 I like it.
35:47 Oh my god. I think I should go.
35:51 I feel I feel drained. I feel like that
35:54 was an accomplishment.
35:57 to have someone else find the document
36:00 that I wrote
36:02 to comment on it and maybe reuse it in
36:05 some sort of meaningful way.
36:08 Okay. Having chat GBT decipher a crop
36:12 circle
36:15 if it's in ASKI one of the symbols.
36:18 Delete error. That's cool,
36:21 huh?
36:23 Every ship needs a captain and ours is
36:26 just a little off. Well,
36:29 a little. It depends what the definition
36:32 of little is.
36:37 That makes you Yeah, I'll I'll be the
36:39 captain. You be Gilligan. Hey, little
36:42 buddy.
36:45 Oh my god.
36:49 Um,
36:52 I was going to try to do some thinky
36:54 work tonight, but that's not going to
36:56 happen, clearly.
36:58 [Laughter]
37:01 H.
37:07 Oh.
37:19 Oh, you know what we could do?
37:30 I know what we could do.
37:33 No, no, Kyle. What?
37:39 No, I got something here, Brandon. Let
37:41 me let me let me run down this rabbit
37:43 hole for a second. Okay.
37:52 [Music]
37:54 Okay. So, what we're going to do
37:58 is we're going to say,
38:01 "Hey, I want
38:05 you to
38:10 consolidate
38:12 everything you know about the AI
38:18 readiness training program
38:24 and give me I don't know
38:28 a short punchy
38:32 description
38:35 and
38:39 10 key
38:41 bullet points
38:43 of
38:47 value to someone
38:51 taking the course.
38:54 All right, let's get some let's get some
38:57 AI readiness training program summary.
39:00 High impact hands-on sprint,
39:04 creative capacity,
39:06 critical thinking, practical skills
39:08 through guided experimentation, peer
39:10 learning, and real world prototyping.
39:12 It's not about learning AI, it's about
39:13 becoming AI capable.
39:17 Um,
39:19 hands- on prototyping,
39:22 digital advisors.
39:32 I think you just made this [ __ ] up. Did
39:35 you just make this all up?
39:41 Look for
39:46 conversations
39:48 involving
39:50 AI festivus
39:53 and the
39:55 subsequent
39:58 training program.
40:04 Don't Oops. Well, whatever.
40:40 All right, that seems to understand what
40:41 it is. Okay, great. So now
40:44 now we need to
40:50 I want you to research
40:55 the
40:57 top 10
40:59 most successful
41:03 ads that involve
41:07 talking animals.
41:11 All right, let's let's see. Let's see
41:13 what we get here.
41:15 So, what we're going to do is we're
41:16 going to go over to VO.
41:23 The Budweiser frogs. Oh, right. Remember
41:26 the frogs? The Taco Bell Chihuahua.
41:29 Compare the me the mircat. The Russian
41:32 accented anthropomorphic Mircat on UK
41:34 TV. The Affleac duck. Coca-Cola polar
41:38 bears. creature. Okay. So now what we're
41:41 going to say is
41:43 I want you to come up
41:47 with
41:50 a creative brief
41:55 for the next hit commercial
42:00 series inspired
42:04 by those
42:08 great spots.
42:13 We need a campaign
42:17 featuring talking animals
42:24 saying how important AI readiness is.
42:31 And the AI
42:34 readiness training
42:37 will make you
42:43 super awesome too.
42:48 Write that brief.
42:52 Okay.
42:54 D. So if you don't know what I'm doing
42:57 right now, don't forget the Geico Gecko.
42:59 Pretty sure it was in there. Um,
43:02 campaign title, animals get ready. AI
43:05 readiness is wildly important. I like
43:07 it. Um, if you don't know what I'm doing
43:10 here,
43:11 so Ann Murphy,
43:14 who definitely didn't eat a gummy
43:17 earlier,
43:19 she did not. She definitely did not.
43:23 She came on here and she said, "Hey,
43:25 Kyle, maybe you could do some something
43:28 with those 10 steps of AI readiness,"
43:31 which I knew exactly what she was
43:32 talking about. I just wanted her to, you
43:34 know, feel get the flop sweats like like
43:37 she couldn't find it, which was fun.
43:40 And then she said, "Maybe you could make
43:42 some one of them VO videos." And if you
43:45 don't know what VO is, VO is the new
43:47 video model from Google, VO3,
43:50 that can do like talking [ __ ] like
43:53 talking animals. And so now
43:56 rather than me having to use my brain to
43:58 come up with some animal,
44:01 I'm having chat GPT do it. Why? Because
44:04 why not? Okay, AI readiness is no longer
44:07 optional. It's the new literacy. But
44:09 most people either feel overwhelmed or
44:11 they think it's only for tech people. We
44:13 want to flip that script with a campaign
44:15 that's unexpected, wildly entertaining,
44:17 and emotionally sticky. Just like the
44:19 AFLAC duck or Taco Bell Chihuahua, we'll
44:22 use talking animals to deliver a
44:24 surprisingly smart message. You can get
44:28 AI ready, too. And if a raccoon can do
44:30 it, so can you. A raccoon.
44:34 That's that's right down the irregular's
44:36 alley. We got Cindy [ __ ] doing the
44:38 raccoon thing. Raccoon's perfect to
44:41 drive awareness. Okay.
44:45 Mid-career professionals creative
44:47 concept. We can just do it. Okay. Wait.
44:52 A short a series of short form spots 15
44:57 to 60 seconds. Okay. Uh okay. Let's see.
45:02 Um
45:04 VO3
45:06 can only pro
45:10 produce
45:12 8 second videos,
45:15 but they can have more than one
45:19 character.
45:24 What
45:26 if we have
45:30 a persistent
45:33 character
45:36 across all spots
45:39 and interviewing
45:46 some
45:47 um animal on the fail
45:55 animals,
46:00 you know, like man
46:03 on the street.
46:06 I really like if
46:10 we can do it,
46:13 you can do it as a tag.
46:19 So the setup and joke jokes jokes need
46:24 to be short and sweet and funny.
46:32 Funny.
46:33 Did I mention they need to be funny?
46:40 Question mark. No, seriously.
46:43 If they are not funny,
46:47 Ann Murphy
46:49 will fire me.
46:52 I missed a meeting today
46:56 and she is already pissed
47:01 and
47:04 she
47:06 is headed
47:09 out on a
47:12 cheese curd adventure
47:18 which she takes
47:20 very very
47:24 seriously.
47:27 So, make them
47:30 funny.
47:32 Rewrite the brief.
47:40 Go with lemurs. Lemurs aren't bad.
47:43 Creative brief redux.
47:45 If we can do it, you can do it.
47:48 to get people laughing, clicking,
47:50 signing up for AI readiness training.
47:52 8-second video spots, VO3 max,
47:56 one recurring host, a chipper golden
47:59 retriever. No,
48:02 the persistent
48:06 animal
48:08 is a raccoon.
48:10 Come on, raccoons are cute.
48:16 A raccoon is chef's kiss. already looks
48:18 like it's been up all night. Heck. Okay,
48:21 whatever.
48:26 Rocky the raccoon.
48:29 Isn't Rocky a trit
48:33 hackmeid
48:37 name for a raccoon?
48:42 B
48:44 be original.
48:54 [Music]
48:57 Scuzz nibs. Vince Crispen.
49:03 Echo.
49:12 Just write
49:15 me a complete
49:17 creative brief.
49:25 Scrim the raccoon. AI readiness
49:27 correspondent. Hello. This is Scrim the
49:29 raccoon. All right. I like it. Fine.
49:32 Fine people. Fine. Fine. Fine. Fine.
49:35 Fine. Fine. Fine. Fine. Fine.
49:39 Target audience, mid-career
49:40 professionals, curious creatives, people
49:43 who are secretly overwhelmed, and Ann
49:46 Murphy, who is serious about cheese
49:48 curds and not messing around.
49:58 Oh my god. Okay. So,
50:05 yes, five scripts.
50:12 Here are five complete 8-second video
50:15 scripts starring Scrim the raccoon and
50:17 his rotating cast. Goat goals. Scrim to
50:21 the camera. Scrim here. This goat just
50:24 automated its entire life. I built five
50:26 AI workflows. I don't know what they do,
50:29 but they do it. If we can do it, you can
50:32 do it. That's not horrible.
50:35 Um,
50:37 we're
50:39 writing prompts
50:42 for VO. So,
50:46 I need you to
50:49 research
50:51 best prompting
50:54 practices
50:56 for VO3.
50:59 So, I don't look like a loser.
51:06 You know, one of the ways you can not
51:08 look like a a loser, put on a pink bow
51:11 headband and put it on correctly. The
51:13 ladies will tell you this is wrong, but
51:17 mark my words, this is how you do it.
51:21 Okay.
51:23 Structured prompts like a director's
51:25 blueprint. Yeah. Okay. Great.
51:33 I want these to be photo realistic
51:41 like we live
51:44 in a world where animals
51:50 can talk and learn AI.
51:57 write the five
52:01 scripts as
52:05 prompts I can paste directly into VO.
52:11 All right, we're going to be making
52:12 videos here any old second now. I know
52:15 you're excited about it.
52:20 Thank you, Silver Fox.
52:24 Well, AI can talk to cats now. Oh, did
52:26 they figure out cats?
52:28 This is gold.
52:32 And Murphy's still here. I thought she
52:34 would have passed out by now. Nope. She
52:37 She's in for the long haul, kids. Okay.
52:45 Okay. uh
52:48 rewrite the prompts
52:53 so that any
52:56 dialogue only uses
53:00 single quote marks.
53:02 So, one thing you need to know about V3
53:05 if you're going to make anything on it
53:07 is if you use double quote marks, it
53:09 creates subtitles that do not resemble
53:12 what's being said on screen or what's
53:14 being said by the people.
53:16 Okay, if we can. Okay, got it. Great.
53:19 Copy. So, now we're going to go. So,
53:22 wait, where am I? I'm there. And then I
53:24 think I have a flow.
53:27 Uhuh.
53:28 [Music]
53:31 Let's take this one.
53:34 Flow.google.
53:38 Flow. Create with flow.
53:41 If you have not seen flow,
53:44 I think I need to sign in with my my
53:48 other Gmail, not my work one.
53:54 All right, new project. By the way, if
53:56 you've not seen V3 here, hang on. Let me
53:58 let me switch out my my Sharon my screen
54:01 sharing
54:03 screen sharing like Sharon Stone.
54:12 I eat organic. I compost my poop. And
54:15 y'all still think I'm a myth.
54:19 All right. So, we I eat organic. I
54:21 compost my poop. And y'all We've made
54:24 hilarious videos in the past. Let's make
54:27 another one, shall we? Okay. We're going
54:30 to go
54:33 Oh, wait.
54:36 Why can I not do
54:39 new project
54:45 model? Oh, okay.
54:48 V3 quality. We're going to paste in our
54:51 first prompt. Let's read through it
54:53 before I just go rendering some [ __ ]
54:56 Early morning in a rustic b backyard
54:58 with a picnic table and power cables
55:00 hanging overhead. A scruffy raccoon
55:03 wearing a tech startup hoodie. That's
55:05 good. Stands holding a microphone. A
55:08 goat with earbuds and a laptop. Choose
55:11 calmly besides a router. Camera handheld
55:15 closeup on the goat's face. Quick rack
55:18 focus to scrim reacting.
55:20 But wait, a scruffy raccoon.
55:26 God damn it.
55:28 Okay. a scruffy raccoon
55:32 named Scrim,
55:40 wearing a a startup hoodie
55:47 that reads
55:51 AI readiness
55:55 training
55:59 Hama stands holding a microphone.
56:04 Closeup on the goat's face. Quick rack
56:06 focus to scrim
56:10 reacting. Goat choose slowly looks up
56:13 confidently and says, "I built five AI
56:15 workflows. I don't know what they do,
56:17 but they do it. I don't know."
56:22 That's fine. Scrim laughs and leans into
56:25 the frame saying, "If we can do it, you
56:26 can do it.
56:29 All right, here we go. We're making a
56:32 commercial, people. This is This is
56:36 exactly what a professional creative
56:38 director does,
56:40 except they do it with skills
56:45 and education
56:47 and intelligence.
56:50 This is the AI learning lab. We have
56:53 none of those. But what we lack in
56:55 intelligence and talent, we make up for
57:01 in persistence. We show up. We show up.
57:05 We don't need talent if you show up.
57:08 Which actually I kind of believe.
57:12 Just [ __ ] show up. Just show up. Show
57:15 up to this channel. Show up to your job.
57:17 Go [ __ ] learn AI at some dinner party
57:20 where they're like, "We don't want to
57:21 hear about AI anymore. Tell them more
57:23 about AI. Just show up.
57:26 You know what's gonna happen? Lots.
57:30 Stuff's gonna be good.
57:36 I have not put my black box up and
57:39 people must be frustrated to to all
57:42 sorts of imagination.
57:59 We're up to 42%. People just calm down.
58:04 Everybody's like, "Well, if I were
58:05 running this channel, I would do it
58:06 different." Well, yeah, you'd do it
58:08 different.
58:14 Not everyone's got my supermodel good
58:16 looks.
58:19 You would do it the way like a peasant
58:21 does it,
58:23 but not like when you win the genetic
58:26 lottery like I have.
58:31 You got to do things a certain way.
58:33 People expect it of you.
58:36 They're like, "Oh, I didn't realize he
58:37 was that good-looking."
58:40 So that's why we do things a little
58:42 differently around here. You understand?
58:46 If you were doing this, you could make
58:48 lists. You could have an agenda.
58:52 Some people call that, what do they say
58:55 in the business world? Professional.
58:58 That's not what we do here.
59:02 Okay.
59:03 Now, if you want to hire me,
59:06 that would be more.
59:09 You get something different than this.
59:20 We're up to 80%.
59:22 You think we're going to get quality?
59:24 Quality.
59:26 Oh, we got a goat. We've got a goat.
59:31 All right, here we go, people. Here we
59:33 go. Do we have a commercial? Ann Murphy,
59:36 are you ready for our commercial for AI
59:37 readiness? I built five AI workflows. I
59:41 don't know what they do, but they do it.
59:44 If we can do it, you can do it. I built
59:47 five AI workflows. I don't know what
59:49 they do, but they do it.
59:52 If we can do it, you can do it. I built
59:55 five AI workflows. I don't know what
59:57 they do, but they do it.
1:00:00 If we can do it, you can do it. I built
1:00:03 five AI workflows. All right, let's go
1:00:05 get another one.
1:00:08 Uh, and I'm gonna go with I'm gonna go
1:00:10 with cheap. cheap. No, I'm gonna go with
1:00:13 uh fast turbo. I Whatever. Doesn't
1:00:17 matter. Just shut up, people. Let me be.
1:00:21 All right, get rid of that. We're going
1:00:23 to do this. We're going to do this.
1:00:25 We'll come back and read that in a
1:00:27 second.
1:00:31 We're going to go V3
1:00:34 turbo
1:00:36 V3 fast.
1:00:40 Okay.
1:00:42 Let's go read our script. Suburban
1:00:46 crosswalk in front of a small town
1:00:47 library. Scrim the raccoon stands beside
1:00:50 a proud chicken wearing glasses and a
1:00:53 satchel holding a small tablet with a
1:00:55 GPT 4.5 sticker. Camera slow dolly in on
1:01:00 the chicken as she speaks. Cut to
1:01:03 Scrim's shocked reaction. Chicken adjust
1:01:06 adjusts her glasses and says, "I built a
1:01:08 GPT to explain why I crossed the road. I
1:01:13 won a Webbby." Scrim looks at the camera
1:01:15 and says, "If we can do it, you can do
1:01:17 it."
1:01:19 And we have a [ __ ] campaign here.
1:01:21 This is good.
1:01:25 I built five AI workflows. I don't know
1:01:27 what they do, but they All right, that's
1:01:30 going to be good. All right, it's going
1:01:32 pretty quick. 7% 9% 10. It's going good.
1:01:37 It's going good, people. All right.
1:01:40 Quality.
1:01:44 What is an AI workflow? Ashley whispers.
1:01:48 Okay.
1:01:50 So, an AI workflow, you can have formal
1:01:53 AI workflows or formal automations where
1:01:56 you string a series of tools together.
1:01:58 But you can also define an AI workflow
1:02:01 as
1:02:03 the jobs that need to get done
1:02:07 to
1:02:08 make a something. So in the current in
1:02:12 the current thing that we're making,
1:02:13 we're making these video files. Step one
1:02:16 in the in the in the AI workflow was
1:02:20 know that we wanted to create a V3
1:02:23 commercial.
1:02:24 So V3 is the Google video tool that can
1:02:26 do talking animals. We knew we wanted
1:02:29 that.
1:02:31 Um,
1:02:34 we knew they needed to be 8 seconds long
1:02:36 because that's all the longer they can
1:02:37 be and still talk.
1:02:40 We needed a script. So, we went to chat
1:02:42 GPT
1:02:44 and we had it remember what the AI
1:02:47 readiness program was. And then we had
1:02:50 to write a creative brief
1:02:52 for this series. And this is good.
1:03:01 And then uh
1:03:08 oh my god. Okay. And now we're over in
1:03:12 in flow flow. Google where v3 is making
1:03:15 videos. So the workflow is that is that
1:03:18 series of things that are chained
1:03:20 together to be able to make a seemingly
1:03:22 simple thing.
1:03:24 All right, this is good. All right, you
1:03:28 ready, people?
1:03:30 I built a GPT to explain why I crossed
1:03:33 the road. It won a webbby. If we can do
1:03:36 it, you can do it. That's screwed up. I
1:03:39 built a GPT to explain why.
1:03:42 Let's see.
1:03:44 We got to go back to chat. GBT. We got
1:03:46 to fix the prompts. Um,
1:03:50 okay. Your
1:03:52 prompts lack
1:03:56 character consistency.
1:04:01 So I want you to
1:04:04 give scrim
1:04:07 the same description
1:04:11 ever every every time.
1:04:16 And then each
1:04:20 starring
1:04:23 animal
1:04:25 should
1:04:27 have one too.
1:04:30 Every uh scrim
1:04:34 should have an AI
1:04:38 readiness
1:04:40 training.
1:04:44 Uh uh uh uh uh
1:04:50 shirt on and the other animals
1:04:54 should be dressed
1:04:59 comically funny.
1:05:07 Also
1:05:10 include a consistent
1:05:15 creative
1:05:17 cinematic
1:05:19 style across
1:05:22 all prompts.
1:05:24 Be sure it is included in each prompt.
1:05:33 Okay,
1:05:35 so we're having it fix our prompts
1:05:37 because it was giving us shitty
1:05:39 character consistency.
1:05:44 Common elements. Okay.
1:05:47 Camera, action, cinematic style.
1:06:09 Copy.
1:06:12 Let's go to flow. Oh, you you weren't
1:06:14 seeing any of that. Well, that doesn't
1:06:15 matter.
1:06:21 All right, there's that one. I built a
1:06:23 GPT to explain why I That's That's
1:06:26 pretty funny. I built a GPT to explain
1:06:28 why I crossed the road. It's pretty
1:06:30 funny. It's pretty good. All right,
1:06:32 chicken logic. Copy.
1:06:35 Go back here. Paste.
1:06:41 [Music]
1:06:44 Thank you very much for the gift. What's
1:06:46 that say? That was some sort of up
1:06:47 arrow. We can only go up from here. I
1:06:50 think that's what that that gift was.
1:06:53 That was the we've hit rock bottom gift
1:06:56 from side hustle Mimi.
1:07:02 All right, it's 10 o'clock, people. We
1:07:04 got to get out of here. Let's look at
1:07:05 these two videos.
1:07:11 VO. Yes, these are from VO. If you want
1:07:14 to see the videos that we have created,
1:07:16 they're not bad.
1:07:18 They lack a little consistency, but they
1:07:20 are not bad. I built five AI workflows.
1:07:23 I don't know what they do, but they do
1:07:25 it.
1:07:27 If we can do it, you can do it. I built
1:07:30 five AI workflows.
1:07:32 Pretty good.
1:07:34 Um, and then here's the chicken one.
1:07:38 I built a GPT to explain why I crossed
1:07:40 the road. It won a webbby. If we can do
1:07:43 it, you can do it.
1:07:46 I built a GPT to explain why.
1:07:49 Pretty good. Pretty good. Pretty pretty
1:07:51 good. Pretty pretty good.
1:07:57 I like this one. I like this one.
1:08:03 I built five AI workflows. I don't know
1:08:06 what they do, but they do it. If we can
1:08:09 do it, you can do it. I built five AI
1:08:13 workflows. I don't know what they do,
1:08:15 but All right, so it looks like [ __ ]
1:08:18 chat GPT reintroduced double quotes. No,
1:08:22 it didn't. All right, so we just gota we
1:08:25 just got to redo that one. Copy. So, one
1:08:27 of the things with VO is that it
1:08:30 sometimes adds subtitles. Now you should
1:08:33 be able to tell them to go screw
1:08:35 themselves and you're not going to I
1:08:37 built a GPT to explain why I crossed the
1:08:39 road. It won a webbby. If we can do it,
1:08:42 you can do it. All right, let's go see
1:08:45 the chicken one now. Oh, this one's
1:08:47 good. Look at this. Look at this
1:08:50 chicken. Ann Murphy, tell me that's not
1:08:52 hilarious.
1:08:54 If anyone in this live is stoned, don't
1:08:57 look at the chicken. You'll laugh. I
1:08:59 built a GPT to explain why I crossed the
1:09:02 road. It won a Webbby. If we can do it,
1:09:05 you can do it. I built a GP. Where's the
1:09:08 raccoon?
1:09:10 God damn it. Did it Did it write that
1:09:13 prompt wrong?
1:09:16 You know, it's almost like you have to
1:09:19 pay attention.
1:09:22 Chicken
1:09:24 scrim.
1:09:26 Scrim the raccoon.
1:09:28 Good lord. I I You know what, people? I
1:09:32 just I can't be held accountable
1:09:35 for shitty prompting.
1:09:38 Well, you're the one that's prompting.
1:09:39 Maybe you shouldn't prompt so shitty.
1:09:41 Shut up.
1:09:44 Scrim the raccoon.
1:09:55 Yeah. See
1:09:59 Here's the deal. You actually have to
1:10:01 pay attention to this [ __ ] And I can't
1:10:02 do that here.
1:10:06 This is not It's not about the tools,
1:10:08 though. This is totally about the tools.
1:10:14 This is totally about the tools.
1:10:26 All right, let's see.
1:10:29 I built five AI workflows. I don't know
1:10:31 what they do, but but they do it. If we
1:10:35 can do it, you can do it. I built five
1:10:38 AI workflows. I don't know what they do,
1:10:40 but they do it.
1:10:43 All right.
1:10:47 Um,
1:10:50 I don't know why I'm choking out.
1:10:53 AI readiness logo.
1:11:00 Uh, uh, uh, uh, I ain't got no logo,
1:11:05 but I know it exists somewhere. All
1:11:07 right,
1:11:10 I think this one's good enough. If we
1:11:11 can do it, you can do it. I built five
1:11:14 AI workflows. I don't know what they do,
1:11:17 but but they do it. If we can do it, you
1:11:20 can do it. I built five AI workflows. I
1:11:24 don't know what they do, but but they do
1:11:26 it. If we can do it. Oh, yeah. This
1:11:29 about workflow. I built five AI work.
1:11:32 Yeah, this is like automations. That's
1:11:33 they're talking about automations here.
1:11:36 Okay. Um,
1:11:39 we'll play with this again tomorrow. Let
1:11:41 me get on out of here.
1:11:45 So today is Tuesday. We just had the AI
1:11:48 salon. Tomorrow we've got the AI
1:11:50 readiness project podcast at 4 PM
1:11:54 Mountain time. AM Murphy's going to be
1:11:56 there. I'm going to be there. We're
1:11:57 going to talk semicoherently.
1:12:00 Then at 5:30 Mountain time,
1:12:04 you've got the AI Salon Life hacks in
1:12:07 the uh in the in the AI Salon
1:12:11 mastermind. If you are not part of the
1:12:12 AI salon mastermind, what are you
1:12:15 thinking?
1:12:17 You should get in there. Um,
1:12:23 what else? I think that's it. Go join
1:12:26 the AI salon. If you go to the URL on
1:12:28 screen, the salon.ai, click on join our
1:12:31 community. Go join. Go introduce
1:12:33 yourself. Go have fun. Go be generous.
1:12:37 Go learn [ __ ] go not be intimidated
1:12:40 because it's not an intimidating in it's
1:12:43 not an intimidating group. I'm the most
1:12:46 intimidating person there.
1:12:54 There you go. That'll tell you
1:12:56 something. All right. He's not very
1:12:58 intimidating.
1:13:00 Does he think when he wears the pink bow
1:13:02 that's intimidating? I don't understand.
1:13:05 I don't understand. I came to this
1:13:07 channel I is this is is this the one
1:13:10 that's called the AI learning lab?
1:13:13 This is the one where because I was
1:13:17 trying to figure out how does anybody
1:13:19 learn anything here and it it it seems
1:13:25 it seems like there's an attempt at at
1:13:27 entertainment certainly. Certainly
1:13:30 there's sometimes funny voices. I mean
1:13:33 not mine.
1:13:34 I've got a perfectly normal voice.
1:13:36 Right. Right. It's just but for the for
1:13:41 there are voices that are made that seem
1:13:44 to be done in a in a in a in a comedic
1:13:46 attempt
1:13:49 much like uh SNL
1:13:53 uh if SNL weren't funny. Well, SNL is
1:13:56 not funny. That's not that's a bad
1:13:58 example. It's not that's not the point.
1:14:00 It's not the point. But just I had a
1:14:03 question. When when am I gonna learn
1:14:05 something here?
1:14:08 That's my biggest question. How does
1:14:11 anybody learn something here?
1:14:15 Okay, fantastic, Bob.
1:14:19 Hope you had fun. Peace out, everybody.
1:14:21 I will see you tomorrow. Tomorrow is
1:14:23 Wednesday. I think it's a normal start
1:14:25 time, 8:00 PM. We won't do this janky
1:14:28 900 PM start [ __ ] I did tonight and
1:14:30 not really know what to say and bring
1:14:32 Ann Murphy up and not be able to find
1:14:34 the file and then make a goat with a
1:14:38 raccoon,
1:14:39 you know. All right.
1:14:42 See you.