AI Learning Lab

4/8/2026 - Preserving Family History with AI Generated Recipe Books and Digital Stories

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Live Stream2026-04-091:17:1066 views

Description

Mid Week Madness in the world of AI Kyle and Brandon dive into the world of "vibe coding" to showcase how natural language is transforming app development through projects like Recipe-Kin and VibeGreeting. Brandon explains how these tools use the Gemini multimodal API to preserve family legacies by turning old stories and handwritten cards into professional cookbooks. The pair demonstrates the power of rapid iteration, showing how bugs can be identified and patched in minutes rather than weeks. The discussion expands to the broader AI landscape as Kyle tests ChatGPT’s new "thinking" modes and navigates the complexities of agentic browsing. They explore the shifting nature of marketing, noting that as technical execution becomes easier, the human element becomes the primary differentiator for new brands. This session provides a practical look at how creators are using accessible AI tools to build, test, and launch products at high speeds. #VibeCoding,#AI,#RecipeKin,#ChatGPT,#GeminiAPI,#SoftwareDevelopment,#Innovation,#AITools Chapters: 00:00:00 Musical Opening 00:03:24 Community Greetings 00:05:36 Emotional Reflections 00:08:13 AI Project Intro 00:10:16 Recipe App Origin 00:13:01 Print on Demand 00:15:16 Testing YouTube Imports 00:17:53 Development Speed Comparisons 00:19:51 Upcoming AI Sprint 00:21:30 Vibe Coding Reality 00:23:53 Successful Recipe Generation 00:26:51 Breaking Software Quickly 00:29:14 App Security Hardening 00:32:03 Family Avatar Concepts 00:34:59 Event Assembly Lines 00:37:42 Vibe Greeting Project 00:41:47 Marketing AI Deliverables 00:45:07 Interface Design Feedback 00:48:05 ChatGPT Interface Review 00:51:13 Agent Mode Testing 00:53:31 Perplexity Hackathon News 00:55:31 AI Music Tools 00:59:36 Testing Agentic Browsers 01:03:26 Marketing Service Brands 01:12:39 Collaborative Hackathon Teams

Chapters

Transcript

0:18 You want this?
0:19 You want that, Champy? Come on.
0:22 Come lay down.
0:24 Come lay down.
0:28 Are you going to Are you going to sing
0:29 for me tonight? Are we going to sing?
0:46 Hallelujah.
0:51 David played and it pleased the Lord.
0:54 You don't really care for music, do you?
1:00 Who's black is the fourth fulfilled?
1:04 A minor fall and a major lift.
1:07 The baffled king composing
1:09 Hallelujah.
1:13 Hallelujah.
1:16 Hallelujah.
1:19 Hallelujah.
1:22 Hallelujah.
1:26 Hallelujah.
1:32 Well, your faith was strong but you
1:34 needed a proof.
1:36 She saw her bathing on the roof.
1:38 Her beauty and the moonlight overthrew
1:42 you.
1:45 She tied you to the kitchen chair. She
1:48 smashed your throne and cut your hair
1:51 from your lips. Shadrach.
1:54 Hallelujah.
1:57 Hallelujah.
2:00 Hallelujah.
2:03 Hallelujah.
2:06 Hallelujah.
2:10 Oh, yeah.
2:22 Same way suit and tie. Does he work at
2:26 the Dairy Queen?
2:28 Does he listen to rock and roll? Does he
2:31 feed the mean singing Hallelujah.
2:36 Hallelujah.
2:38 Hallelujah.
2:41 Hallelujah.
2:45 What about Jesus?
2:47 Don't need a tutor, yeah. Hang out with
2:51 the prostitute.
2:53 Just have a drink, too.
2:55 Public example of what mama said it in a
2:58 hymn. She said one ounce of action
3:02 beats a ton of words.
3:05 Singing Hallelujah.
3:07 Mama said there would be angels.
3:10 Hallelujah.
3:12 Mama said there would be sun. Yeah,
3:15 yeah.
3:22 Happy Wednesday, good people of the
3:24 TikTok.
3:26 Two people.
3:28 Valerie and Silverfox.
3:33 Welcome.
3:35 It'll be an intimate gathering tonight.
4:40 >> I love dogs joined.
4:42 You like Champy?
4:44 You love Champy. Champy's the best.
4:54 That Champy is one good doggy.
4:59 He's a lover.
5:01 Are you a lover, Champy?
5:17 Is this place
5:19 I can rest my forehead?
5:25 Gather my thoughts in sweet silence.
5:33 And is this place where the feelings are
5:37 laid?
5:40 From an old exposure to violence.
5:45 This is place I can slowly face the only
5:50 one I truly can know.
5:54 These tears from a long time ago.
5:58 I got these tears from a long time ago.
6:02 I need to cry 30 years of soul.
6:07 I got these tears from a long
6:09 time ago.
6:13 go.
6:30 Table for three tonight?
6:36 Hello Danielle.
8:10 >> All right. Let's get working on the old
8:14 AI here. What is happening? What is
8:17 happening on the AI?
8:20 Um
8:25 no recipes yet.
8:29 So, I want to show something fun. Might
8:31 as well start out with something fun.
8:36 Crawford's in the house. What's
8:38 happening, Sharon? What's going down?
8:41 Archetypal's in the house. We got
8:42 Valerie, got Todd Waller,
8:45 producer Brandon, of course, Danielle,
8:50 Silver Fox, Eric Trung.
8:54 Welcome, everybody.
8:57 Let's go ahead.
9:03 So, if you point your browser to
9:10 recipe
9:14 Well, that came on strong, that little
9:16 yawn.
9:17 recipe-kin
9:21 .com
9:23 What this cool thing is
9:25 So, I think this was a Brandon, do you
9:27 want to talk about this? Like the origin
9:29 of this was in life hacks, right?
9:33 That is correct. You want to tell us
9:36 like the origin story of it?
9:38 Yeah, we were playing around with
9:40 Lovable last year and uh
9:43 Yeah, last year it was it was last fall
9:45 and uh
9:47 I just kind of threw it out to the group
9:48 is anybody have any ideas and and Gwen
9:51 said
9:53 you know, what if we had a app that
9:55 preserved people's recipes, but not just
9:58 the recipes like the story behind it.
10:00 You know, like your grandmother used to
10:01 tell that story while she made the
10:05 uh made the information or made the
10:07 recipe. There's all that history in
10:10 there and what what if we captured that
10:12 and turned that into a virtual cookbook.
10:16 And such the idea was born and
10:20 we played around with it for a few
10:21 months
10:22 and we got it to the point where we're
10:24 pretty comfortable that it was going to
10:26 turn into something.
10:28 And then
10:29 about uh a month ago Gwen says, "Hey, I
10:32 signed up for an event at my
10:34 congregation mid-April and we're going
10:36 to sign up a bunch of people. It'll be
10:38 ready by then, right?" I said, "Yeah,
10:40 sure. Why not?"
10:43 And so uh So did you So you just went
10:46 off and vibe coded it or was it already
10:48 started?
10:49 No, we we we started in Chat GPT and
10:51 they we iterated on it and um
10:54 came up with a concept and then took
10:56 that into Lovable and ran with it. Huh.
10:59 And did you Was it like a like it was
11:01 like a a website in Chat GPT that you
11:04 coded or you were just describing it
11:06 there? No, we were just iterating the
11:08 idea of we knew it was going to be a
11:10 Lovable site and so
11:13 we basically distilled the idea down
11:16 inside of Chat GPT and ideated on it and
11:19 got it down to kind of a a Lovable
11:20 prompt and then took that prompt into
11:23 Lovable and started from there. That's
11:25 very cool. That's very cool.
11:28 I dig it. I dig it. I dig it. I
11:31 dig it.
11:33 As the initial recipe idea has evolved,
11:39 we took it from just video submissions
11:42 to now you can do video, audio, visual,
11:47 or YouTube.
11:48 >> So, you've got four different types of
11:51 uploads.
11:52 >> You can upload like a handwritten recipe
11:53 card. That's cool. Yep.
11:55 Audio or YouTube. Nice.
11:59 And then from there it uses the Gemini
12:03 multimodal API to analyze the content
12:06 Uh-huh.
12:07 >> and come up with the recipe card.
12:09 That's very cool. So, when is
12:12 When is Gwen's event? Did she already
12:13 have it? Uh no, it's coming up on the
12:15 18th. So, Oh, wow. we encourage all of
12:19 our regulars to hop over and beta test
12:22 it and give us feedback so we can make
12:24 sure that we uh that it's working.
12:27 putting our best foot forward as we take
12:29 this thing out of beta. Yeah.
12:31 >> And I will tell you we talked about it
12:33 in the Life Hacks Club tonight and we
12:34 already had like four enhancements.
12:36 So,
12:37 >> Well, of course. Like once you start
12:39 something, it's like, "Well, you know
12:40 what else it could do? Well, you know
12:41 what else it could do?"
12:43 Yeah. And the the the most difficult
12:46 part of this was
12:49 around 2 months ago we came this concept
12:52 of well, what if we actually wanted to
12:53 turn this into a
12:56 actual cookbook.
12:58 And so, I tasked GPT with ChatGPT with
13:01 finding out how to do print-on-demand
13:04 one-off small-format books. And it came
13:07 up with a uh
13:09 a third-party partner called Lulu,
13:11 lulu.com,
13:13 that has an API. And I followed the
13:15 instructions and put gave it my API key.
13:19 And once you get to the point where you
13:22 have uh a handful of recipes, you can
13:25 actually order a physical cookbook.
13:28 Wow, really?
13:31 That's pretty cool.
13:33 And in the spirit of bad coding, it
13:36 only took 10 tries of ordering books
13:40 before it Before you can actually order
13:42 a book? Before you can actually order a
13:44 book. And um
13:47 you know, it was I hooked it up to
13:49 Stripe and it was uh
13:52 it was entertaining because
13:55 I got an email from Stripe today that
13:57 says, "Good news. You made $100 in book
14:00 sales." I'm like, "Yeah, that was me.
14:01 That's my money. Give it back."
14:04 Yeah, that's hilarious.
14:06 You're trying to find a recipe? Yeah,
14:08 I'm trying to find a recipe.
14:11 Just like Mom used to make.
14:14 Gluten-free, nut-free. No. No.
14:17 You don't make gluten-free, nut-free
14:19 peanut butter cookies.
14:24 Hillbilly kitchen. I'm trying to get
14:26 just a
14:27 >> Todd Waller on TikTok is logged in and
14:29 looking around. We're going to create
14:31 inside of the AI Life Hacks space a
14:33 place for feedback, but if you see
14:34 anything out of sorts,
14:36 um please email and let me know. And uh
14:42 There we go.
14:43 >> If you check on the Irregulars,
14:45 uh I'm sorry, if you check in Life Hacks
14:47 space, there is a if you do decide to
14:49 get up to 36 pages and you want to
14:51 actually print something, uh there's a
14:53 special promo code that you to a 20% off
14:57 Is it one page per recipe or like you
14:59 got a recipe that spans two pages?
15:02 No, one page per recipe.
15:06 And does the the system control that? It
15:09 It keeps the text below a page worth?
15:13 Yep. Mhm. Wow, that's cool. Okay, wait.
15:16 Let me go back to here.
15:18 So, I'm going to upload my first video.
15:20 I'm I'm to put in a YouTube URL.
15:23 It's going to be amazing to watch this
15:24 fall on its face and not work cuz we've
15:26 made so many changes to it in the past.
15:29 Yeah, okay. So we got the YouTube video,
15:31 that's good. Yeah, YouTube video's in
15:33 there. Can you play it? Oh, that's a
15:35 that's a bug or a fix.
15:38 You should be able to preview
15:39 >> call that an enhancement.
15:42 It's a bug.
15:45 Who let the angry Gen Xer into the
15:47 office?
15:49 You can't import a YouTube video and not
15:52 be able to play the YouTube video.
15:54 That's a bug.
15:57 You can't do it. You need a angry Gen
15:59 Xer in the corner office for exactly
16:02 this reason. I'm Listen, here's the
16:04 deal.
16:05 Sure, it's humiliating now, but
16:08 it's going to save you headaches in the
16:10 future when this becomes grandma's
16:11 biggest recipe bucket.
16:14 All right, here we go. How quick is it?
16:16 Is it decently quick? Yeah, it works out
16:19 pretty quick. It takes just a just about
16:21 a minute to analyze it. Generation
16:23 failed.
16:24 Ah, see? Yeah, I told you you'd break
16:27 it.
16:28 This is why we test. This is why we
16:29 test.
16:30 But um
16:33 I want to call out something that Heaven
16:35 knows on AI effects that was pretty
16:36 cool.
16:37 is
16:38 when in her early testing
16:41 figured out that when we displayed the
16:44 um
16:46 information on
16:48 the cookbook
16:50 So even though the generation failed,
16:51 here's what the end result looks like.
16:53 So if you click on view
16:55 Oh, wait.
16:57 Um
16:58 And then you can edit that recipe.
17:02 Oh, cool.
17:03 >> Uh
17:05 >> And you can In case the AI hallucinates
17:08 something that grandma misspoke, you can
17:11 add in
17:13 all of the pertinent details and fill it
17:15 in. It's supposed to be designed to fill
17:16 in the gaps, not write the entire thing,
17:19 but in case of a
17:21 failure
17:22 uh to launch, it it does
17:24 that.
17:25 >> Um but when we were working on this
17:27 >> is a view. Oh, no.
17:30 Oh, yeah. Here's the Here's the Oh, here
17:32 you can play it. Yes.
17:35 There you go. All right. And then if I
17:37 go to edit, it it doesn't reload the the
17:40 YouTube video.
17:42 It should.
17:44 Do you want to just make a list and send
17:46 it to us tomorrow?
17:52 Um but I want to call out something in
17:53 the Life Hacks Club. So, Gwen was
17:55 testing it and one thing she noticed is
17:57 when we generated the pricing, it didn't
18:00 draw out that pricing was
18:04 inclusive of printing
18:06 shipping and handling. It was just
18:08 showing you a price.
18:10 Uh
18:10 >> And so
18:12 we needed to add that in and so I asked
18:14 Lovable to add that in and it added it
18:17 in like the fine print. I'm like, "No,
18:18 no. It needs to be bigger."
18:21 And so I moved it and I made it bigger
18:23 and I said to Gwen, I said, "Like that?"
18:25 cuz we were on uh the meeting together
18:27 and she was, "No.
18:28 We need to make that more pronounced."
18:29 So, I said, "Hey, Lovable.
18:31 I really want to know that this thing is
18:34 you know, inclusive." Inclusive, yeah.
18:36 >> "Absolutely." And it made it bigger and
18:38 it made it perfect and it took maybe 4
18:39 minutes. And I was just thinking, I've
18:41 had a web design company for 20 years.
18:43 The amount of back and forth
18:46 Yeah.
18:46 >> iterations you'd have with a client just
18:48 to move that one line of copy up to the
18:51 right spot was probably 2 weeks of work
18:53 in the early 2000s. Just by you have the
18:57 coders do it, send it back to the client
18:59 for approval, they'd mark it up for
19:00 changes, you'd take it back to the devs,
19:02 they'd swear and throw their coffee cup
19:04 across the wall and say, "No, it's fine
19:06 the way it is." And you're
19:07 right.
19:10 Can't be done.
19:11 >> fixed it.
19:12 This whole process just got condensed
19:14 down into 4 minutes.
19:16 Yeah. I'm actually insufferable when it
19:19 when I get the feedback it can't be
19:20 done. I I have no tolerance for that.
19:24 But if you click on community
19:27 uh at the top, you'll see like the
19:29 classic vanilla recipe cup recipes. This
19:32 is the what a finished recipe looks
19:34 like. So this is my daughter's school
19:36 project that she did.
19:39 So cool.
19:41 And uh and and then you can edit that
19:43 and put the back story in.
19:45 Well, that's cool. recipe-tin.com
19:48 uh
19:49 and then I I guess we should probably
19:52 tell the listeners here
19:54 that if you are intrigued by this
19:58 for mastermind subscribers in the AI
20:00 salon in May, we're going to be doing a
20:03 four-week sprint
20:06 uh for lovable and working with lovable
20:09 coming soon.
20:10 >> That's so cool.
20:13 It'll be starting next month.
20:15 There's such good things going on in
20:16 mastermind. We've got um
20:18 the other thing you should pay attention
20:20 to Andy's um
20:22 workshop on
20:24 um
20:25 unhooking your identity from your job,
20:27 your job from your identity. Um that
20:29 starts on the 14th, I think. So mid next
20:32 week. So if you haven't signed up for
20:34 that and you're in the mastermind,
20:36 please go do that.
20:39 You know, if and if and you want to
20:44 explore that, which I think would be
20:45 fascinating. Like one of the things that
20:47 hit me when we were doing the great
20:48 repurpose stuff when we were coming up
20:50 with it.
20:52 Like in my mind I was like, oh my my
20:54 identity's not tied to my job. And then
20:57 I started thinking about like how I
20:58 introduce myself at parties and it's
21:00 like
21:01 it's totally tied to my job.
21:04 It's totally tied to the stuff I do. And
21:08 uh and that's what we're all going to be
21:09 confronting, which is just wild.
21:13 Um
21:14 Let's go look. If anyone has anything
21:16 they want to talk about, pop that over
21:18 in the
21:19 Rick Olson's in the house. Cheers,
21:21 everyone. Hello, Rick.
21:23 Welcome. Welcome. Welcome.
21:25 And And Aunt Gert uh
21:27 on TikTok, all good. Trying over and
21:29 over again. It's like riding a bike. It
21:30 really is. You know, you have to
21:32 um everybody thinks that AI and vibe
21:35 coding is
21:36 one prompt magic where you just
21:39 Yeah.
21:39 >> type in a prompt and get a response. And
21:41 And it it this is we're all nearly 200
21:46 um prompts in on this project for just
21:49 one site.
21:51 Yeah.
21:52 Yeah.
21:53 And that's, you know, listen, it's it's
21:55 the same HT Snowday was talking about
21:58 this la- last night on the salon that
22:00 it's
22:01 um
22:02 like the the coding part itself happens
22:05 much faster,
22:07 but the curation, like what what we're
22:09 now spending most of our time on is is
22:12 it what we want it to be, which, you
22:14 know, in the end, that's a lot of what
22:15 coding is, too, right? You know, yes,
22:18 that technically works, but it kind of
22:19 sucks. And let's tweak it till it gets
22:21 better. We're just doing that with
22:23 English language right now, which is
22:25 which is very cool.
22:27 Um I'm just looking on on the Twitter to
22:31 see if there's anything interesting.
22:35 All right. And I am uh
22:37 I'm going to duck out here backstage in
22:39 just a minute. But before we do, in the
22:41 spirit of vibe coding,
22:43 if you
22:44 count to 10
22:47 and then go back and uh refresh Recipe
22:51 here.
22:53 Um If I go to recipe
22:55 >> updating the site to to match that. And
22:59 if you grab that URL
23:01 and uh
23:03 go back through and try to create a new
23:04 recipe um
23:07 using that same YouTube video.
23:10 Oh, Lovable seems to think that it's
23:12 fixed all of your concerns.
23:14 Let's see.
23:16 Let's see what it says.
23:19 Nope.
23:23 Mhm. Yep.
23:28 All right, so she's talking now. Let's
23:31 see if we get the
23:33 the big error.
23:38 Generated.
23:39 All right, let's see.
23:45 Mhm. What's the story?
23:52 These classic peanut butter cookies are
23:53 beloved family favorite passed down
23:55 through generations with the perfect
23:56 balance of sweet and savory.
23:59 They're sure to bring a smile to
24:00 everyone's face.
24:02 And I also want to point out that you
24:03 are in editing mode.
24:06 And you can watch the video in editing
24:08 mode, which was another one of your uh
24:10 Yep, that was a gripe. That's been
24:12 fixed.
24:12 >> And you can also change your visibility
24:14 from either private, so it's only
24:16 available to your login,
24:18 or public, or private with a link. So,
24:21 just like Google Docs, you can either
24:23 share it through link or share it
24:26 publicly to the community, or share it
24:29 to everybody.
24:32 All right, there's Grandma's cookies.
24:34 Okay, so here's another you want to you
24:35 want to um
24:37 uh whatchamacallit?
24:39 Uh a gripe?
24:41 Not a gripe. This is not a gripe. This
24:42 is This is a nice-to-have.
24:44 Um either generate or have a thumbnail
24:47 on the on
24:49 all of the recipe cards recipe card.
24:52 Uh-huh.
24:53 And then here's This is a gripe. Um you
24:55 should be able to
24:57 um delete like this is this is a failed
25:00 one, but I can't delete it. If you if
25:03 you go into view it,
25:04 you should be able or edit it, you
25:07 should be able to delete it from the
25:08 editing. My concern we had actually
25:10 actually that was something Yeah, we had
25:11 the trash can in the corner. My I didn't
25:13 want somebody to fat finger recipe
25:15 >> Yeah, yeah, yeah. Yeah, yeah, yeah.
25:18 Okay, I'm I'm I support that.
25:21 Um dessert cookies so it automatically
25:23 tags it. This is very cool. Add your
25:25 story.
25:30 So cool.
25:34 Half a cup of unsalted butter,
25:37 cup of peanut butter.
25:40 Yep.
25:45 So if I go edit,
25:50 I'm going to say one fork.
25:58 One fork. You got to have a fork.
26:02 I know it's not an ingredient, but it
26:03 is.
26:06 See, using a fork.
26:12 I swear if you cook save and it breaks
26:13 the system, I'm deleting Lovable.
26:18 Save.
26:20 Boom, recipe successfully saved.
26:24 So that's So here here would be a a nice
26:27 to have interface live wise. When you
26:30 save it, it dumps you either into
26:31 preview mode or
26:34 it dumps you into view mode. Probably
26:36 preview mode.
26:39 But that's super cool.
26:42 Looking forward to seeing the rest of
26:43 your feed you and
26:45 Grandma Jean's feedback in the AI Life
26:48 Hacks section of the AI Salon.
26:51 Kyle the hacker. I don't I do have So So
26:55 one of the things that is a I have kind
26:57 of a reputation in Storyvine and I had
26:59 this at agency.com and I had this back
27:02 when I worked for Eastwest Creative. Um
27:06 I can break software within 5 minutes.
27:10 This actually this No nothing here
27:12 really broke. There were just some
27:13 little minor enhancements. Nothing
27:16 really broke, but I'm really good at
27:18 breaking stuff quickly.
27:20 I don't know what it is. I just I I
27:22 think it's cuz of my ADD. I move fast
27:24 and when when you move fast, you do
27:26 things in a different order than
27:28 people that think about [ __ ]
27:31 Yeah, and that is
27:33 um
27:34 the power and
27:38 I guess kryptonite of Lovable is it
27:41 moves at the speed of ADD and Yeah. it
27:46 makes it very hard to
27:49 walk away from projects because
27:52 you could just keep generating, keep
27:54 creating.
27:55 Yeah. Yeah. Yeah. Keep iterating.
27:58 Yeah.
27:59 Um here's something I thought would be
28:02 interesting to do tonight.
28:06 It seems pretty apparent I've heard as
28:09 early as tomorrow or next week that
28:12 we're going to get the new the latest
28:14 model from OpenAI
28:16 which apparently is going to redeem them
28:18 for how shitty their last models were.
28:21 Um
28:22 and it's it's apparently mythos quality.
28:25 That's That's what I'm hearing. I think
28:27 that's
28:28 probably a lie.
28:30 But
28:32 um let's see. Chat GPT
28:40 When testing, I love breaking things.
28:41 Devs love me. Devs actually do like it
28:44 when you break stuff.
28:48 Um I love this app, Brandon. If you ever
28:51 need help hardening the application, let
28:53 me know. Dude,
28:55 um, so here's the thing. I would take
28:58 Gareth up on that, um, unless you've
29:00 done a hardening pass on your own, but
29:03 that implies to me that Gareth's in
29:04 there hacking, and he's probably got
29:06 your social security number, Brandon.
29:09 Uh, I would take him up on
29:11 I will say Lovable gave this a One thing
29:15 Lovable does really nicely is it does
29:18 give it a free security review and allow
29:21 you to try to plug up It'll run an AI
29:24 analysis on your site before you publish
29:27 it. Oh, that's cool.
29:29 >> deems that you have
29:31 flaws or holes, it will offer to fix
29:35 them without charging you
29:37 credits. So,
29:38 >> smart. early on, they were like, people
29:40 were publishing leaking sites because
29:43 they didn't have the credits to fix them
29:44 and patch them. So, Lovable says, "We
29:46 got to fix that."
29:47 So, they allow you to fix them for free.
29:49 That being said, I trust Gareth more
29:51 than I trust Lovable AI. Yeah.
29:54 >> Gareth, you feel free to, uh, help me
29:56 harden that because we're going to have
29:58 a bunch of, uh, Jewish grandmas testing
30:01 this thing a week from Saturday, and I
30:04 really need to make sure that they have
30:06 a good experience with it. Yeah, that's
30:08 really good. And he said he'll help with
30:10 with bugs bugs as well. So, that's
30:12 really cool, finding and patching bugs.
30:14 Super cool. Well, you got my angry Gen
30:16 Xer things. I just want things to look
30:18 less unfinished. Um, Gareth can actually
30:21 go in there and make sure [ __ ] shit's
30:22 working.
30:24 I I I told everyone in the, uh, Life X
30:27 Club that once we hit our first 100,000,
30:30 we're paying dividends to everybody who
30:32 participated and helped us, uh,
30:34 bring the app to life.
30:36 That's beautiful. All right, so so
30:38 here's actually a serious question. Are
30:39 you going to launch it in any way? Is is
30:43 is there is there an aspiration to turn
30:45 it into something that
30:47 is a you know
30:49 a freemium model or you do a
30:53 uh
30:53 an iPhone app as well like like how
30:55 ambitious are you going to get with it?
30:58 Yeah, you know, the I think the early
31:01 uh response that we're going to get from
31:03 friends and family are going to tell us
31:04 a lot about the appetite in the market
31:06 for it. Uh-huh.
31:08 At some point my
31:11 Gemini Cloud account is probably going
31:13 to get depleted to the point where I'm
31:15 going to throw
31:16 at least some sort of paywall at a
31:18 certain number of recipes up there just
31:21 because I've got to cover hard costs.
31:23 But, you know, if there's a potential of
31:26 and there's a need in the market for it,
31:28 we we see it being something that could
31:30 be
31:31 commercially viable and you know, I
31:34 don't think any of us did it to make
31:36 money with chat GPT, but if it solves
31:38 the problem and there's profit to be
31:40 made, then we will gladly solve that
31:43 problem and reap the rewards.
31:46 I have a feature idea. Do you want one
31:47 or you tight you are you like can we
31:49 just launch this thing now?
31:51 No, we've got six in the can. I mean,
31:53 come on. It's it's it's
31:55 five coding. I mean, we might build it
31:56 in the marathon or the the not marathon
31:59 the sprint inside of the lovable
32:01 workshops if you give it to me.
32:04 I'll give you the here's the idea.
32:06 Um
32:09 create
32:10 um like family member
32:13 like like avatars. So, you could have
32:15 like grandma, mom,
32:17 you know, daughter, you know, so so
32:20 basically you create a family of people
32:23 and then under those people are their
32:25 recipes. So, basically when you when you
32:27 create a
32:29 a person tied to a recipe, that becomes
32:32 a user that shows up in like a family
32:34 panel. So, like a view could be the the
32:36 family view and you have like grandma
32:38 and then you have her recipes listed
32:40 under her and then mom and her recipes
32:42 listed under her. It's it would it's
32:44 kind of a internal family leaderboard.
32:53 Oh, yeah. Like
32:55 No, no, no. The uh
32:57 I I was waiting for you to finish your
32:58 thought and also processing it. So, it
33:00 it's uh
33:02 you know, almost like
33:03 a sorting method instead of having all
33:06 the recipes you could group you could
33:08 group them under grandma and have AI
33:11 representation of grandma that talks
33:13 about her
33:15 her collection of recipes. Yeah,
33:17 something like that. Yeah. Yeah,
33:18 exactly. Yeah, it's it's basically a
33:20 filter filtering and sorting thing, but
33:22 you do it as a family unit. And it would
33:24 sort of encourage people like well, if
33:26 mom has a spin on grandma's recipe or we
33:29 have great grandma's recipe. Like you
33:30 could that would be really cool have
33:32 generational recipes in there. And maybe
33:35 dad's got his, you know, barbecue meat
33:39 you know, putting putting ribs on the on
33:42 on the smoker recipe.
33:44 Um yeah, that'd be pretty cool.
33:47 I love it. It it is it is a Frankenstein
33:50 project of the community and so
33:53 >> Yeah. you know, we've had at least
33:56 12 different people that have been
33:59 transient in the AI Life Hacks that have
34:01 had a hand in building this over the
34:02 past 6 months. So, it is one of those
34:05 that takes a village type of situations.
34:07 So, thanks everyone. We really
34:09 appreciate your support. And we'll be
34:11 meeting our next Life Hacks Club meeting
34:13 is the 22nd, which is Earth Day. So, You
34:17 know, you know what's you know, let me
34:18 throw another another idea out there.
34:20 This is this is not about the app
34:21 itself. This is about how you
34:24 Like I don't know how Gwyn's going to do
34:26 this, but like one of the things that
34:27 could be kind of fun. You know how you
34:29 do have sessions? Well, like these
34:31 things, right? I come on and I show you
34:32 how to build stuff with whatever
34:35 um that that I occasionally still do.
34:38 Um
34:40 having Gwen or you or someone
34:44 like do us do a like a half-hour session
34:46 or or a, you know, a 15-minute session
34:49 where you actually walk people through
34:51 the app and show them how to use it and
34:53 then maybe even get them to log in and
34:55 create an account and
34:56 like do do a hands-on thing
34:58 would be really cool. So the the the
35:01 event on the 18th is is a larger
35:04 symposium and they're going to have a
35:06 booth there and they've got an assembly
35:08 line planned where
35:12 the first person's going to register
35:14 them and help them set up their username
35:15 and password and write it down and then
35:18 the next person's going to be sitting
35:19 there with an a camera and record their
35:22 first recipe and then log in and upload
35:25 their first recipe. That's the cool
35:27 part.
35:28 They're going to have like this assembly
35:29 line and actually
35:31 we were talking about how the fact that
35:33 Lovable tends to remember your login
35:36 credentials over multiple browser
35:38 sessions, which is good except if you're
35:40 trying to do a high volume throughput
35:42 like that. Yeah. So
35:45 between the end of Life Hacks an hour
35:47 ago
35:49 and now and fixing your YouTube thing, I
35:52 also created an event registration link
35:54 that's buried in the site. So if you go
35:56 to recipe
35:58 -kin.com/event
36:00 you just have a a portal that you could
36:02 just sit there and put people's name,
36:04 email, and password and then it just
36:06 registers them in the database in the
36:08 back end without actually logging you
36:10 in. So she's able to just turn and burn.
36:13 That's really cool. That's so cool.
36:16 I love that idea. I love You know what's
36:18 really cool about the the assembly line,
36:20 getting people signed up and trained up
36:22 and all that sort of stuff is
36:26 it's not about AI. Right? This has got
36:28 nothing to do with AI. This is about
36:30 grandma's recipes, right? And like
36:33 making it easy for people to share
36:34 those. It's like it's really a gift. And
36:37 then at some point if someone goes, "How
36:38 did you make that?" You can tell them,
36:40 but it's like that's not what it's
36:41 about. Which seems right. Like that
36:43 seems like where we're going.
36:45 Yeah. Garrett, I live in Claude.
36:51 This is a great opportunity for UX user
36:53 research. I would agree with that.
36:58 Yeah, this is going to be a beast,
36:59 Brandon. You're going to have to I think
37:01 you might have to pit pass the tin cup
37:03 to get to get some extra lovable credits
37:06 cuz I have a feeling you're going to be
37:08 blowing through some credits. Once you
37:11 get this thing in the wild, this just
37:13 happened to us at Storyvine. I was I was
37:15 in Orlando with our our client there.
37:17 And uh you know, we had like
37:20 I don't know, probably 70 or 80
37:22 different sales reps download our app
37:24 and use it and film and test videos and
37:26 things like that.
37:28 And uh
37:29 man, you you think you cover everything
37:31 in testing, but new.
37:33 You learn all sorts of new things.
37:37 I'll give you one more that we haven't
37:38 publicly talked about yet, but it's it's
37:40 ready for prime time. If you open a new
37:42 tab and go to vibe greeting.com.
37:44 Uh-huh.
37:50 This is my other side project that I've
37:52 been working on that actually turned
37:53 into a real thing.
37:55 Oh, cool.
37:57 Make it real 99 occasion.
38:01 We'll go
38:01 >> What this is is a Yes. Uh an AI
38:05 creation. So, you remember the kiosks
38:08 back in the 90s at like
38:10 whatever CVS used to be, Revco, or
38:13 Walgreens where it was in the American
38:15 Greetings aisle where it would actually
38:18 custom and print a card
38:21 for you. Have you ever seen see those?
38:23 Yeah. So this is basically that concept
38:25 where you're taking an AI generated
38:27 image and AI generated
38:30 uh
38:33 greeting on the back.
38:36 And
38:38 then I'm using a third party called
38:40 Handwritten which prints it on demand
38:43 and actually mails out the card. And so
38:47 as my final test before I took this
38:49 live, I did one for my parents for their
38:52 anniversary and sent them a
38:55 greeting card with a caricature of them
38:57 on vacation
38:59 and a the greeting on the back that I
39:01 edited after the AI came up with it and
39:03 I just sent it to them in the mail
39:05 without telling them that it this was
39:07 happening.
39:08 And they're like, "So we got an
39:10 interesting card in the mail today."
39:12 I'm like, "Cool, cool, it worked."
39:15 That's great.
39:17 Did they care if it was AI?
39:20 They asked me how I got their likeness.
39:22 They like, "Did you use that AI stuff
39:24 you're telling us about?" I'm like,
39:25 "Yes, I did."
39:27 That's really funny. That's hilarious.
39:31 And how did you get Is this side if is
39:35 the size of the cards being pulled from
39:38 the print on demand API?
39:41 Uh yeah, it it looks at the size that
39:43 it's doing in it and it previews it
39:45 accordingly. That's really cool.
39:48 Regenerate.
39:51 Is this Nano Banana the back end? Yep.
40:02 That's funny.
40:20 >> So, the next effort around this is going
40:23 to be to figure out and to spend some
40:26 time with AI
40:29 trying to figure out how to market these
40:31 and
40:33 like this one in particular, I want to
40:35 throw some like
40:37 sponsored Facebook ads around it, but
40:39 I'm going to let AI help me analyze
40:42 where the cost run is cuz, you know,
40:44 when I'm only charging $10 to send the
40:46 card, most of that is tied up into the
40:49 production, shipping, mailing of the
40:51 card. So, the margins aren't huge. It's
40:54 a volume play. Yeah.
40:56 But,
40:57 we're
41:00 trying to figure out like you see these
41:02 all the time of the these sponsored ads
41:04 on Facebook. Like, I got to make sure
41:06 that I'm not spending $1,000 to sell one
41:09 greeting card. Like, that's not going
41:11 Um and you could very easily do that
41:13 with AI with marketing. Um and Facebook
41:16 budgets and Google Ads. So, and the next
41:19 iteration of this is to try to use AI to
41:22 figure out how to optimize towards
41:25 exposure because it used to be that
41:29 ideas were easy, execution is hard.
41:32 Execution is becoming easier, but
41:35 delivery and that last mile and telling
41:38 people about the thing in the sea of
41:40 noise that is the internet has become
41:42 the new difficult part of this. No, it's
41:46 this is really important and and one of
41:48 the things I would encourage you to do,
41:50 Brandon, is
41:51 make videos and you might even have a
41:53 video on the on the homepage.
41:58 Like, rather than that being a generic
42:00 thing, like maybe that generic thing
42:02 there, but maybe down here
42:05 or or maybe maybe you do two do dual
42:07 columns or something like that where
42:10 you've got a video of of you saying,
42:13 "Hey, I'm Brandon. You know, here's
42:15 here's why I made this." Because I I
42:18 think we're coming into this place where
42:20 everyone's going to be able to copy
42:21 every site. But like only Brandon can do
42:24 Brandon's vibe greeting maker. You know
42:27 what I mean? Like I would find a way to
42:28 get your voice in there, whether it's a
42:30 video or or, you know,
42:33 "I'm Brandon and and, you know, I love
42:36 my family and this is in the spirit of
42:38 that and, you know, click here to learn
42:39 more about me" that takes you in.
42:41 Something that right up front doesn't
42:43 make it just a generic vibe greeting
42:45 thing. That it's that it's your vibe
42:48 greeting thing. That that feels
42:49 important to me. I'll have my HeyGen
42:51 avatar do the interview and then I can
42:53 do it in multiple languages. There you
42:55 go.
42:56 You're right. It's it's it's
42:57 personalization at scale. Yeah, exactly.
43:01 >> the audience, you know, the if you build
43:03 it, they will come mentality only goes
43:05 so far.
43:06 Yeah. But yeah. Yeah. Vibe greeting and
43:08 recipe kin, two of the latest
43:10 innovations from the AI life hacks test
43:12 kitchen.
43:13 That's so cool.
43:16 It really is cool.
43:21 And not for nothing, somebody's got a
43:22 birthday coming up, so.
43:26 There you go. Maybe you're going to Go
43:28 go make some greetings. Go make some
43:30 cards and so does it when you make a
43:33 greeting and go to send it, you put in
43:35 the person's address and and the the API
43:38 site does all that? Mhm. That's super
43:41 cool.
43:46 Real robotic handwriting. Oh, I have a
43:49 Do you want another um
43:51 Do you want another whatchamacallit?
43:54 Sure.
43:58 Um
44:00 Describe the message.
44:03 Optional, heartfelt. Let's see.
44:06 Describe look and feel.
44:08 Um a peanut
44:11 butter jar
44:14 and a half-eaten
44:17 spoon of peanut
44:20 butter.
44:24 And then we'll say describe the message.
44:28 Um
44:29 Stop eating
44:31 out of the
44:33 peanut butter jar.
44:39 So, uh
44:40 it it for Aunt Gert and Jason in uh
44:44 TikTok, it absolutely like Mr. Deeds
44:46 working on
44:48 uh cards uh trying to send them to
44:51 American Greetings. If anybody has a
44:52 contacted American Greetings, they want
44:54 to buy this site from me and and turn it
44:56 into an American Greeting and American
44:58 Greetings
45:00 uh site, I would be happy to uh sell out
45:03 to them. There you go. Or Walmart.
45:06 Um
45:07 so, it would be good to have Yeah, you
45:10 can't do it. It would be good to have
45:13 You have described the message as
45:14 optional and then the tone. It would It
45:17 would be good to have like some sort of
45:19 toggle here that I could like a a
45:21 checkbox that says
45:23 just put this exact text into the card
45:26 rather than generating the the text of
45:28 the card. Like if I'm a writer and I
45:30 know what I want to write, I could write
45:31 it right in there and then I not have to
45:33 edit it after.
45:35 And then the other thing, this is a
45:36 subtle one, but but it it'll be a good
45:39 one, I think.
45:41 Let's Let's let it generate yield card.
45:50 May your New Year be filled with much
45:52 sweetness and comfort as your favorite
45:54 midnight snack. You are the heart of
45:56 this home, but for the sake of your
45:58 health health and our shared pantry,
46:00 please start using a spoon instead of
46:02 your fingers. Life is better with you by
46:04 my side, especially when we're sharing
46:07 everything except the germs of the
46:09 peanut butter jar. That's pretty funny.
46:11 Um,
46:11 so here's the thing. So I'm in classic
46:13 script. When I go edit message, it
46:15 changes the font.
46:17 And same with this.
46:18 You have it have it have the the when
46:22 you edit have it be in the same size and
46:24 font as the the preview.
46:27 Especially when you have something like
46:28 this where it's a big font and then you
46:30 go to edit it and it's much smaller.
46:34 Cuz people will write
46:36 too much
46:37 in the small thing and it will truncate.
46:41 But it's also just it'll just be less
46:43 jarring.
46:45 Get it? Jar, peanut butter jar.
46:48 Get there?
46:50 This is very cool. Very cool, man.
46:54 Love it.
46:54 >> Yeah, and if you want to learn more
46:56 about the process, mastermind next month
46:59 will be will be walking through all of
47:00 it
47:01 live and on demand.
47:04 Beautiful.
47:04 >> Watch the beautiful beautiful beautiful.
47:06 Pull the producer card and say go to
47:09 community.thesalon.ai
47:11 and head over to AI life hacks and
47:14 share your thoughts. Yeah. Perfect.
47:17 Beautiful. And that's a mastermind
47:18 class, the lovable one, right?
47:21 Yes, but
47:22 today's AI life hack session, which will
47:24 be posted shortly, is the
47:28 TLDR version of that, the the readers
47:31 digest version of that. It's it's the
47:33 entire four-week course crammed into one
47:35 uh fever dream of an hour-long session.
47:39 Right. Cool.
47:44 Beautiful.
47:47 Thank you for your assistance, David.
47:52 Oh, interesting. All right. Um,
47:55 here's what I thought might be fun. What
47:57 I'm not going to do a ton of this.
47:59 But like I haven't gone and looked at
48:01 the chat GPT options in a long, long
48:04 time.
48:06 Um
48:09 So I figured we'd just click around the
48:11 interface. This might be good to just
48:13 click around the interface and
48:16 and see what the hell's going on here.
48:23 Notebook LM is now in Gemini, right?
48:26 Yeah, yeah, yeah.
48:30 All right, maybe we'll play with that
48:31 tomorrow.
48:34 Um okay. So remember the the pull-down
48:38 menu for chat GPT models used to be this
48:41 nightmarish complex of of all the
48:44 different model types.
48:47 What they've done here is pretty smart.
48:49 There's just instant for everyday chats,
48:51 thinking.
48:53 And let's see. I can turn that off.
48:58 And I assume I can turn it on.
49:03 No.
49:05 Oh, I see what I did. Okay, I see what
49:07 you do. So you go thinking.
49:11 Oh, this is interesting. So you either
49:14 go instant for everyday chats like um
49:17 write me a sonnet
49:20 about
49:22 um packing tape.
49:31 It's not wicked fast, is it?
49:34 And that's not a sonnet. Oh, yeah, it
49:35 is.
49:38 4 4
49:46 Three sets of four and a two, is that
49:48 right? Maybe.
49:49 A humble roll translucent taught and
49:52 grace. Taught with grace. Okay.
49:54 Um
49:55 So, you go instant gives you quick, and
49:59 then
50:00 you go thinking, and now there's a
50:02 thinking menu, and you can go thinking
50:04 standard, thinking extended. So,
50:06 thinking extended is going to blow
50:08 through your your tokens more, but um
50:11 that's that's interesting.
50:13 And then if you click on the plus button
50:15 here, add photos, recent files. That's
50:18 cool.
50:19 Add from library.
50:35 Huh.
50:38 All right. What else? Create image,
50:41 deep research, web search.
50:44 I don't know the difference between
50:45 those two.
50:47 Add sources, canvas.
50:52 This is still a mess, this menu here.
50:54 Agent mode.
50:56 More available on April 17th. 39 agent
50:59 modes left.
51:03 Huh.
51:09 I want you to find me
51:13 health care agencies in
51:17 San Fran
51:20 cisco
51:28 that are small to mid-sized,
51:35 and
51:42 then find
51:48 phone numbers
51:50 emails
51:52 for
51:54 top strategy people and or
51:58 founders.
52:02 Top strategy people,
52:05 innovation people,
52:11 and or founders.
52:14 Compile
52:16 this into
52:18 a
52:20 CSV.
52:23 Gareth on YouTube.
52:30 The Daily AI show with Beth Bryan and he
52:34 joins at 7:00 a.m.
52:37 Why use agent mode when you can use
52:41 Atlas?
52:44 Um
52:48 I don't know. I've never used Atlas. Is
52:50 Atlas good?
52:51 I downloaded Atlas when it came out.
52:54 Gareth is going to be joining their
52:57 daily AI show starting tomorrow and
52:59 he'll be on as a guest periodically is
53:00 what he was saying. That's what I was
53:01 saying.
53:01 >> Oh, cool.
53:02 That's awesome.
53:04 Oh,
53:05 Atlas. We There's something else we
53:07 forget, Kyle. Atlas is the ChatGPT
53:10 browser. Yeah, I know.
53:12 I downloaded it and never really used
53:14 it. So.
53:19 I also posted in challenges and
53:21 competitions that um starting next week
53:26 uh Perplexity is
53:29 doing a The billion-dollar idea?
53:33 Yeah.
53:34 uh hackathon. Eight weeks to a
53:36 billion-dollar idea.
53:38 And it's you're putting teams together,
53:40 right?
53:41 Uh yeah, but it could be a a single
53:43 person
53:44 you know, you just have to
53:46 compete
53:47 be competitive. But, they want you using
53:49 paper
53:50 >> coolest to put together like like salon
53:53 cohorts, you know?
53:55 Four or five person teams where there's
53:58 people who are good at different things.
54:01 That'd be kind of fun.
54:03 Rick McCauley and I are going to be back
54:04 down hacking at a Lovable event next
54:07 weekend actually. Uh, trying to
54:09 >> In Miami?
54:11 Yeah, in Miami. Trying to bring a a a
54:13 cancer uh
54:15 uh treatment uh
54:17 AI assistant to life.
54:19 Oh, wow. That's cool.
54:21 Um, my suggestion about um
54:24 getting together small teams seems to be
54:26 generating some excitement. Jason's
54:28 like, "Who wants to be on my team? I'm a
54:30 thinker." Dr. Jay, yes. Silver Fox into
54:33 it.
54:34 I exclusively use it now in beta testing
54:37 Google Disco browser and it's decent.
54:40 But, it crashes a lot.
54:43 Salon Vikings, GPT Atlas browser.
54:48 Um
54:52 Atlas. I wonder if I have it.
54:56 I don't.
54:58 All right, let's go get it.
55:00 Like, what's good or bad about it?
55:03 Gareth.
55:11 AI Salon hackathon
55:15 Chat GPT Atlas, download for Mac OS.
55:29 What program would I be able to make my
55:31 own music like 30-second songs for
55:33 background in videos?
55:35 Um
55:38 For for background music, there used to
55:40 be
55:41 a site called Refusion,
55:44 which was kind of a loop
55:46 an AI-powered loop assembler that was
55:48 really good for that kind of stuff.
55:51 That got eaten by and became
55:54 producer.ai.
55:56 So, there's there's three major ones.
55:58 You can do it a little bit with Gemini,
56:00 but it kind of sucks right now. There's
56:03 Suno, which is the big mac daddy.
56:06 There's
56:08 um
56:09 Udio. Both of those got acquired by
56:13 major music labels, and they have weird
56:16 ownership stuff now.
56:18 And then there's producer.ai. Those are
56:20 the three biggies that I know of.
56:22 And then there's some open-source stuff
56:24 just came open.
56:25 Uh
56:28 some open-source music stuff. I I see
56:30 people po- posting about it. But if you
56:32 want to do open-source,
56:34 you have to be you have to be geeky.
56:37 You have to understand what GitHub is
56:38 and how to,
56:39 you know, pull down repos and do
56:41 whatever the [ __ ] you need to do there.
56:44 Um set up your new profile.
56:47 Continue.
56:49 Allow.
56:52 Sure, we'll import from Chrome.
56:55 We'll grab that. Oh, let's do Let's turn
56:58 all these off.
57:01 Import.
57:06 It does everything in the chat GPT, but
57:09 it also has agent mode, so it's an
57:11 agentic browser.
57:13 Allow access to the keychain.
57:28 Every search is a chat GPT conversation.
57:51 Um
57:53 isn't there a
58:14 Isn't there a chat GPT mode?
58:19 Find the best restaurants near me.
58:25 Have you tried Google Google Gemini's
58:27 new music generator? I haven't, it
58:29 sucks.
58:31 Unless
58:32 it got better.
58:33 Which is possible.
58:35 Safe prompts in chat GPT Atlas.
58:39 Oh, that's cool. So oh, safe prompt.
58:42 Nice.
58:44 Chat search, images,
58:50 videos,
58:55 news.
59:00 Does Cartesia do um music? I thought
59:03 Cartesia just did voice.
59:12 Everything does everything now. Yeah, I
59:14 know.
59:32 >> So, ask anything.
59:34 Um
59:36 How
59:39 What is the best
59:42 dumpster price for my house?
1:00:05 TikTok been
1:00:07 My son is a software engineer and would
1:00:08 lose his mind if I told him I was in a
1:00:13 Hang on.
1:00:15 in a hackathon. Oh, you definitely have
1:00:17 to be in a hackathon and tell him you're
1:00:18 in a hackathon. That's awesome.
1:00:21 That is beautiful.
1:00:23 Um
1:00:25 All right, Atlas is interesting. I'm
1:00:27 probably not going to use it just
1:00:28 because I don't
1:00:32 really know. Let's How's this thing
1:00:35 doing? Is it done?
1:00:37 No.
1:00:41 Understood. I'll research
1:00:44 health care agencies in San Fran that
1:00:46 are small to mid-sized.
1:00:48 I'll gather phone numbers and emails.
1:00:52 All right, it's doing its thing.
1:01:05 I mean, I think if you're smart, you
1:01:07 should grab Gareth
1:01:10 or Brandon or
1:01:13 Vicky
1:01:15 or Danielle. Like, there's a bunch of
1:01:17 people in here who've done some cool
1:01:18 vibe coding.
1:01:22 I'd get on a with someone clever.
1:01:27 You know what I just realized?
1:01:31 Not that you care.
1:01:32 But you know I've been like sort of like
1:01:36 sick for five nights where my
1:01:39 my face just fills up. Now I just
1:01:41 realized I've got like fluid in my left
1:01:43 ear and it was my left sinus that was
1:01:45 getting all
1:01:46 crunchy. So whatever's whatever's in me
1:01:48 is just
1:01:49 traipsing around my skull.
1:01:52 So after final fi- several layoffs, AI
1:01:55 made my life weird. AI made my life
1:01:57 weird. Oh. I finally got the job to sell
1:02:01 software for a company.
1:02:07 The software is easy. That's super cool.
1:02:10 Sorry Kyle, that sucks. I know, right?
1:02:13 Truth be told.
1:02:15 A little I just realized it's making
1:02:17 clicking and popping sounds in there.
1:02:19 Um
1:02:21 AI made my life weird. Put Put in there
1:02:24 what that what that means.
1:02:26 Why How did it make it weird?
1:02:29 Oh dang, I wasn't finished typing. You
1:02:31 can finish typing.
1:02:36 I'll shout you out then. I thought it
1:02:38 it's a cool story. Congrats that you got
1:02:40 a job.
1:02:41 Cuz it's weird right now, man.
1:02:46 Oh, scroll up. I typed the rest.
1:02:53 To build
1:02:55 Should I copy them and sell my own?
1:02:57 Um
1:02:59 Yeah. Everyone else is going to do that.
1:03:04 You should.
1:03:06 But you know you got to figure out where
1:03:09 your ethics boundaries are, right? If
1:03:10 you're selling for them, you know, don't
1:03:13 poach their
1:03:15 their lead list. I wouldn't do that. I
1:03:17 wouldn't go that far.
1:03:19 Um
1:03:21 but but what you could do So So there's
1:03:24 there's a couple of things.
1:03:27 So what you're hitting on gets to a new
1:03:29 marketing theory I have that's it's not
1:03:31 a new marketing theory. It This is as
1:03:34 old as the hills, but
1:03:36 I think this is going to be only the
1:03:38 only thing. If you're marketing
1:03:41 the service service itself,
1:03:45 so let's say you're working for this
1:03:46 company. You're selling their thing.
1:03:47 You're like, this is easy. I can make
1:03:49 one of these. You're going to make one
1:03:50 of these and you're going to add some
1:03:51 features to it.
1:03:53 And then you're going to start talking
1:03:54 about yours as being better than this
1:03:56 one. But then someone's going to see
1:03:57 yours and copy it and and probably copy
1:03:59 it in six ways to Sunday.
1:04:02 So everyone's going to be talking about
1:04:03 their thing thinking that their features
1:04:05 matter, but no one's paying attention to
1:04:06 features anymore.
1:04:08 But if what you did was you said, "Hey,
1:04:10 I used to work for this company and they
1:04:12 had this thing and it was really cool
1:04:13 and it was very simple and I liked it.
1:04:16 But I've been in the sales game for a
1:04:18 while and I know how it could be better
1:04:19 and so I'm going to tell you about my
1:04:21 version of this sales tool that takes it
1:04:23 to the next level."
1:04:25 Right? I think that starts to be how we
1:04:28 start marketing things where human
1:04:31 beings are what are what elevate brands
1:04:34 above the noise so that you can actually
1:04:36 consider them.
1:04:38 Um
1:04:40 let's see.
1:04:43 Jump in here. We're going to open this
1:04:45 numbers.
1:04:47 Hello numbers.
1:04:49 Hello numbers.
1:04:52 Agency name.
1:04:54 School of thought Abra Marketing.
1:04:58 Key contact person.
1:05:01 Oh, this is cool.
1:05:05 Huh.
1:05:10 I I it for things in in San Francisco.
1:05:15 And it got me one in Houston.
1:05:20 That doesn't help. With a 212 phone
1:05:22 number. I have a feeling that phone
1:05:23 number's wrong, too.
1:05:27 It only got me eight options. No.
1:05:30 1 2 3 4 5 options.
1:05:37 Let's go try the same thing in GenSpark.
1:05:42 I have a feeling GenSpark's going to
1:05:44 kick
1:05:45 ChatGPT in the ass.
1:06:03 Steve Jobs said everything I
1:06:04 accomplished in my life will be
1:06:06 be meaningless in 20 years, irrelevant.
1:06:09 Yeah.
1:06:11 Um
1:06:12 Some things, you know, some things
1:06:14 endure.
1:06:16 Some things endure.
1:06:26 Your first AI employee from $9.99 a
1:06:28 month.
1:07:10 >> Panda, do you have your hand raised?
1:07:13 You don't have to raise your hand.
1:07:16 Are you waving?
1:07:18 I think you might be waving.
1:07:26 Parallel search.
1:07:33 Oh, it's Garrett saying you moved over.
1:07:35 Okay, got it.
1:07:44 TikTok pen. I'm trying to basically sell
1:07:47 AI phone calls, AI marketing, AI social
1:07:49 media, etc.
1:07:53 Um like I said, everyone's going to be
1:07:55 selling everything and it's all
1:07:57 everyone's going to sound the same.
1:07:59 So, anything that you can do
1:08:02 to establish yourself connected to that
1:08:05 service.
1:08:06 Where you say, "Hey, I'm the best in the
1:08:08 world at knowing what sales people
1:08:10 need." And so this stuff I'm selling
1:08:12 you, I'm really good at this. I'm really
1:08:14 passionate about this. I'm
1:08:16 a contrarian. I'm an innovator. Like
1:08:19 there's a thing that you do that's sort
1:08:20 of the best in the world.
1:08:23 Right? And so why you're selling this
1:08:25 stuff or why you developed your tool is
1:08:28 because you saw a better way.
1:08:32 Like with Storyvine, I talk about
1:08:35 you know,
1:08:37 I don't have the attention span to do
1:08:39 really good video editing. And so I
1:08:41 thought there's got to be a better way
1:08:43 to make short-form video that doesn't
1:08:45 suck.
1:08:48 And so I talk about
1:08:50 that all the time and
1:08:53 you know, that's part of part of our
1:08:55 brand is is, you know, talking about the
1:08:57 origin story of like why it exists.
1:09:00 I I going to be very powerful.
1:09:03 I saw a guy AI went wild and called some
1:09:06 do not call list. The fine is $1,000 per
1:09:09 call.
1:09:10 ChatGPT says to stay for a few weeks.
1:09:17 I mean
1:09:18 if if I am an engineer
1:09:21 and I just quit and sell it myself
1:09:25 or do I wait and learn sales for a few
1:09:27 weeks? I would wait. Here's the thing
1:09:29 with waiting and if if you don't know
1:09:31 sales
1:09:33 if you're
1:09:35 you know
1:09:36 learn to sell for them and and you know,
1:09:39 figure out what's good about it, what's
1:09:41 bad about it. Maybe you like it, maybe
1:09:42 you don't.
1:09:45 So, yeah, I would go do that.
1:09:54 Sales is the hardest part by far.
1:10:05 All right, it looks like it looks like
1:10:08 Jen Sparks already found more than Open
1:10:10 AI did.
1:10:48 New nickname dropped.
1:10:55 Thank you AI Grandpa. I'll stay for a
1:10:58 few weeks.
1:11:00 Douche.
1:11:02 AI Grandpa. It's It's not bad. I'll take
1:11:05 it, but
1:11:07 A, I'm not a grandpa. B, I don't feel
1:11:10 like a grandpa, but you know, I'm old,
1:11:12 so what are you going to do?
1:11:14 Uh-oh, that's the main reason I was
1:11:16 working for a big company because I hate
1:11:18 the sales part of it.
1:11:21 I just like creating the tool [ __ ]
1:11:23 Yeah, I know. Sales is Sales is a beast.
1:11:26 Although, if you can partner up with
1:11:28 someone who's really good at the sales
1:11:30 and loves the sales, and you can just
1:11:31 nerd out on the product. This Listen,
1:11:34 here's I think if if you want to
1:11:36 understand the reason I said
1:11:39 um for the Perplexity hackathon
1:11:42 groups of like four to eight people in
1:11:45 the AI Salon should get together to do
1:11:47 those things. I think a unit like that,
1:11:50 plus or minus seven so like between five
1:11:53 and nine people
1:11:55 Imagine getting together with a group of
1:11:57 people where you've got complimentary
1:11:58 skills, you all like each other, and
1:12:01 everyone's doing AI, and you sort of
1:12:02 figure out, "Okay, I'm good at finance
1:12:04 stuff. I'm good at sales. I'm good at
1:12:06 product. I'm good at,
1:12:08 you know, making sure shit's secure, and
1:12:10 we're going to, you know, no one's going
1:12:11 to get sued cuz our
1:12:13 code is shitty."
1:12:15 Um you get that group together, and you
1:12:18 just start iterating on ideas, and sort
1:12:20 of putting ideas out there. I think a
1:12:21 group of of five to seven
1:12:24 seven or eight people could do some real
1:12:26 [ __ ] damage in a good way.
1:12:35 Done. Here's your CSV. 10 companies.
1:12:39 Download the CSV.
1:12:44 Let's go grab it.
1:12:58 >> Organization, Arena, Healthcare,
1:13:01 AI medic- medication intelligence,
1:13:04 Careem Health,
1:13:06 value-based specialty care,
1:13:09 GoGoGrandparent.
1:13:22 Hm.
1:13:28 Co-founder and head of data strategy.
1:13:35 Huh.
1:13:38 All right, we'll download that.
1:13:41 All right, kids. Are we trying to get
1:13:43 rich over here? No, I'm just my
1:13:45 co-founder's heading to San Francisco.
1:13:47 If anyone here's in California, if you
1:13:49 know anyone in San Francisco
1:13:51 that's in pharma or healthcare
1:13:54 that would be interested in or or
1:13:57 potentially AI, but healthcare-related
1:13:59 would be better.
1:14:01 My
1:14:03 co-founder's going to be out there next
1:14:05 Wednesday, and she's got some time she
1:14:07 wants to fill.
1:14:09 I'm kind of sad about Sora ending in
1:14:11 April. I continue making my AI videos
1:14:14 with simplicity. Yeah, that sucks.
1:14:16 I saw some video on how AI is teaching
1:14:18 coding, but not vibe coding like a
1:14:20 course on the side on the side of the
1:14:22 screen.
1:14:24 Yeah, there's going to be all sorts of
1:14:26 really cool apps that are developed as
1:14:28 as
1:14:29 AI gets better and human beings get
1:14:31 better at figuring out what they want,
1:14:33 we're going to see all sorts of new
1:14:35 kinds of
1:14:36 uh
1:14:37 software formats that I think are going
1:14:39 to be awesome.
1:14:42 Um
1:14:44 let's do that.
1:14:46 All right, I'm going to get out of here.
1:14:48 I'm a little crunchy still and now that
1:14:50 I have water in my ear, I want to go
1:14:52 deal with that.
1:14:54 Sora was burning money. It was. We just
1:14:56 need to figure out what we want. That's
1:14:58 the big the billion-dollar question for
1:15:01 all of us is who are we and what do we
1:15:03 want?
1:15:04 What do you want?
1:15:06 It's a brutal question.
1:15:09 Maybe not for you. For me it was a
1:15:10 brutal brutal question.
1:15:15 All right.
1:15:19 Better than tonight is trust me. Yeah, I
1:15:21 so do not
1:15:23 envy that.
1:15:24 Tell the subs I said hi.
1:15:27 When the peroxide is in your ears.
1:15:31 Get well, Kyle. Thank you everybody.
1:15:33 Thank you for the kind wishes. All
1:15:34 right, cool. I will see you tomorrow and
1:15:37 I appreciate you all being here. Bye.
1:15:41 Oh, wait. The regulars before I go. Hang
1:15:43 on.
1:15:44 Brandon just saved it y'all.
1:15:49 Let me reload.
1:15:57 This one?
1:15:58 Which one?
1:16:00 Oh, the trouble duet.
1:16:07 What am I looking at?
1:16:08 One more refresh.
1:16:10 Although trouble sounds good.
1:16:11 I did.
1:16:17 More activity?
1:16:20 Reload.
1:16:22 Are you sure you hit submit?
1:16:24 I did.
1:16:26 Are you in chat maybe?
1:16:29 No.
1:16:31 My internet works just taking its time.
1:16:34 Oh, there we go.
1:16:37 Get off my ass generated the line.
1:16:43 Champy's now a pitbull.
1:16:47 My favorite part of that is if you look
1:16:50 down, the grass is just like Yeah.
1:16:54 text.
1:16:56 That's awesome.
1:16:59 Cool, yeah.
1:17:00 All right, thank you, sir. Thank you,
1:17:01 producer Brandon. Thank you, mods. Um I
1:17:04 will see you tomorrow night. I'm going
1:17:06 to go drink water, maybe a tea. All
1:17:08 right, later.