Meeting Title: Onboarding - Sam - Luke Date: 2025-12-18 Meeting participants: Samuel Roberts, Luke’s Notetaker, Luke Scorziell
WEBVTT
1 00:01:10.600 ⇒ 00:01:12.189 Luke Scorziell: Hey, Sam, how’s it going?
2 00:01:14.660 ⇒ 00:01:15.480 Samuel Roberts: Hey!
3 00:01:17.000 ⇒ 00:01:18.340 Samuel Roberts: Alright.
4 00:01:18.900 ⇒ 00:01:19.780 Samuel Roberts: There we go.
5 00:01:20.180 ⇒ 00:01:22.479 Luke Scorziell: Sweet. Good to… good to meet you.
6 00:01:22.480 ⇒ 00:01:23.880 Samuel Roberts: Yeah, you as well, how are you?
7 00:01:24.540 ⇒ 00:01:28.810 Luke Scorziell: Colonel Arts can, the day I kicked off.
8 00:01:28.810 ⇒ 00:01:30.120 Samuel Roberts: Where, where are you located?
9 00:01:30.400 ⇒ 00:01:32.920 Luke Scorziell: I’m in, Los Angeles, so…
10 00:01:33.060 ⇒ 00:01:33.700 Samuel Roberts: Okay.
11 00:01:33.890 ⇒ 00:01:35.060 Luke Scorziell: How about you?
12 00:01:35.280 ⇒ 00:01:36.450 Samuel Roberts: Cleveland, Ohio.
13 00:01:36.750 ⇒ 00:01:39.409 Luke Scorziell: Oh, cool. Is that an Amber mug you’re using?
14 00:01:39.410 ⇒ 00:01:43.730 Samuel Roberts: It is, yes. It actually is not charged, I… but yes, it is.
15 00:01:43.730 ⇒ 00:01:49.330 Luke Scorziell: That’s funny, my dad is big on them, and then my…
16 00:01:49.550 ⇒ 00:01:52.059 Luke Scorziell: I got one for my girlfriend,
17 00:01:52.730 ⇒ 00:02:03.269 Luke Scorziell: last year, and then she got one for her mom after that, and then now I’m kind of… I started drinking coffee more this past year, so then I was like, you could get me one for Christmas, so…
18 00:02:03.270 ⇒ 00:02:08.049 Samuel Roberts: I’ve got… I’ve got a few now, because my… I had one, and I think I bought another…
19 00:02:08.440 ⇒ 00:02:15.099 Samuel Roberts: Another one to have a base, like, one spot, and then in my office, and so I can keep them charged. And then my uncle was just like.
20 00:02:15.330 ⇒ 00:02:22.939 Samuel Roberts: didn’t like his, so I have a third one now, too, but I had to unplug this for plugging something else in, and it just… yeah.
21 00:02:23.170 ⇒ 00:02:23.780 Luke Scorziell: Yeah, no, no.
22 00:02:23.780 ⇒ 00:02:25.680 Samuel Roberts: A few more outlets near me, but yeah.
23 00:02:25.680 ⇒ 00:02:30.130 Luke Scorziell: That makes sense. So, cool. Well, thanks for connecting. I know.
24 00:02:30.130 ⇒ 00:02:30.810 Samuel Roberts: Totally.
25 00:02:32.190 ⇒ 00:02:37.539 Luke Scorziell: Robert just gave me kind of a list of people, not too much context on…
26 00:02:37.540 ⇒ 00:02:38.080 Samuel Roberts: Okay.
27 00:02:38.080 ⇒ 00:02:43.020 Luke Scorziell: each of them, so I started as a kind of a go-to-market consultant What?
28 00:02:43.400 ⇒ 00:02:45.899 Luke Scorziell: last two weeks ago now? .
29 00:02:45.900 ⇒ 00:02:46.520 Samuel Roberts: Okay.
30 00:02:47.150 ⇒ 00:02:48.150 Luke Scorziell: And…
31 00:02:48.430 ⇒ 00:03:01.600 Luke Scorziell: the hope, I think, on maybe each of our sides is kind of all get some context on the company, learn about the services, learn about, like, what we’re doing, obviously, and then be able to help organize and potentially lead the go-to-market team.
32 00:03:01.790 ⇒ 00:03:05.860 Luke Scorziell: Like, next year. And so…
33 00:03:06.350 ⇒ 00:03:14.379 Luke Scorziell: So yeah, so I’ve just been doing, like, some discovery, exploratory calls, and then also trying to, like, bridge the engineering marketing gap a little bit to.
34 00:03:14.380 ⇒ 00:03:15.040 Samuel Roberts: Right.
35 00:03:15.080 ⇒ 00:03:23.069 Luke Scorziell: Because I… it seems like that can be a silo that… that gets created, so… So yeah, I’d love to hear just, I don’t know, about you and your,
36 00:03:23.910 ⇒ 00:03:25.750 Luke Scorziell: Your role, like, how long you’ve been
37 00:03:25.860 ⇒ 00:03:29.089 Luke Scorziell: been a brain forge what you do, what you… I don’t know, it’s just…
38 00:03:29.270 ⇒ 00:03:33.680 Samuel Roberts: Yeah, yeah, totally. So I started, july-ish?
39 00:03:34.070 ⇒ 00:03:37.399 Samuel Roberts: Kind of coming in. At that point.
40 00:03:37.510 ⇒ 00:03:50.420 Samuel Roberts: so there’s… I mean, I assume you’ve talked to a bunch of people at this point, I don’t know what… like, it’s been a few weeks, I don’t know where you’re at in terms of, like, understanding the structure, everything, but when I was coming out onboarding, it was a little… you know, I was still getting my bearings for a while.
41 00:03:50.420 ⇒ 00:03:53.560 Luke Scorziell: Very, very self-driven. Yeah, exactly, exactly.
42 00:03:53.560 ⇒ 00:04:03.510 Samuel Roberts: But, yeah, basically the… the AI side of things on the engineering side. So, you know, if the… there’s the data side and the AI side are kind of the two…
43 00:04:03.610 ⇒ 00:04:06.339 Samuel Roberts: It’s like a split amongst the engineering team, if that makes sense?
44 00:04:06.870 ⇒ 00:04:07.400 Luke Scorziell: Yeah.
45 00:04:07.400 ⇒ 00:04:19.950 Samuel Roberts: So, like, I don’t come from a data background, I come from, like, a web dev product background. I’ve been in startups my whole career, mostly web dev, a little side journey in a hair care startup, but mostly,
46 00:04:20.200 ⇒ 00:04:26.570 Samuel Roberts: building products. And so, I forget how I got in touch with you, Tom, but,
47 00:04:26.990 ⇒ 00:04:28.699 Samuel Roberts: I was basically brought into, like.
48 00:04:28.910 ⇒ 00:04:34.939 Samuel Roberts: fill in for where he was kind of running the AI team, which is, at that point, Casey.
49 00:04:35.280 ⇒ 00:04:46.249 Samuel Roberts: And Mustafa, I don’t know if you’ve spoken with them at all, but, they’re, like, two of the engineers on the AI team. We brought in another guy recently named Pranav, but so it’s a pretty small team, but we…
50 00:04:46.460 ⇒ 00:04:53.130 Samuel Roberts: we were building, kind of, the internal platform, and supporting a couple clients that have some AI work.
51 00:04:53.190 ⇒ 00:05:08.490 Samuel Roberts: which I believe is going to be growing a little bit. We just got another client that’s, an AI client, basically, and less data. And so, yeah, it’s a little bit of a split between client work and sort of internal tooling, if you will.
52 00:05:08.490 ⇒ 00:05:09.210 Luke Scorziell: Yeah.
53 00:05:09.210 ⇒ 00:05:24.570 Samuel Roberts: I don’t know if you’ve used the Forge or the platform, whatever we’re calling it these days, but when I started, it was… that was in kind of a weird state, and I kind of brought it all together and got it. We made a few more tweaks to it, but it was hard to push changes, and I kind of refactored a bunch of stuff there.
54 00:05:24.570 ⇒ 00:05:35.080 Samuel Roberts: But there’s always a tension with, like, getting the internal work done and getting the client work done, because obviously, like, one of those pays the bills, and the other one is a little bit of a sink. But also, like, can…
55 00:05:35.150 ⇒ 00:05:40.220 Samuel Roberts: Increase, you know, efficiency in certain ways, but.
56 00:05:40.460 ⇒ 00:05:47.340 Luke Scorziell: Yeah, well, and… so tell me more about… because I’ve heard the split between data and AI, but, like.
57 00:05:47.340 ⇒ 00:05:47.780 Samuel Roberts: Yeah.
58 00:05:47.780 ⇒ 00:05:48.990 Luke Scorziell: What that means in a…
59 00:05:48.990 ⇒ 00:05:49.999 Samuel Roberts: Sure, okay, so…
60 00:05:50.000 ⇒ 00:05:50.620 Luke Scorziell: buff.
61 00:05:50.820 ⇒ 00:05:55.919 Samuel Roberts: Yeah, basically, there’s some clients that the work is…
62 00:05:55.930 ⇒ 00:06:12.159 Samuel Roberts: You know, they have data sources, they have, you know, analytics, they have all kinds of things, and it’s building those pipelines, you know, cleaning the data, organizing it, building the tables, building the models, all those sort of things that, like, you can use for
63 00:06:12.370 ⇒ 00:06:15.619 Samuel Roberts: you know, figuring things out. Based on the business, you know, there’s different ones.
64 00:06:15.620 ⇒ 00:06:16.090 Luke Scorziell: Yo.
65 00:06:16.090 ⇒ 00:06:20.410 Samuel Roberts: The AI side is more… a little more product-y, it’s a little more,
66 00:06:20.610 ⇒ 00:06:29.019 Samuel Roberts: So one of the… one of the clients is ABC, which we’re now starting to do some data work for on the other side, but initially it was… we built, like, a chat bot for them for their customer service team.
67 00:06:29.330 ⇒ 00:06:30.830 Luke Scorziell: They have…
68 00:06:30.830 ⇒ 00:06:36.450 Samuel Roberts: you know, all… tons of different departments, and they’re, you know, dispatching people to do all kinds… it’s ABC…
69 00:06:36.820 ⇒ 00:06:44.139 Samuel Roberts: home commercial, I forget the exact full name, but they basically have, like, all kinds of technicians and supervisors that go out and do, you know…
70 00:06:44.140 ⇒ 00:06:44.500 Luke Scorziell: Yeah.
71 00:06:44.500 ⇒ 00:06:47.299 Samuel Roberts: slew of different things, and so there’s different departments, and it…
72 00:06:47.430 ⇒ 00:06:53.199 Samuel Roberts: I started in the middle of that project, so there was, you know, a lot of stuff had already been kind of moved, but
73 00:06:53.490 ⇒ 00:07:07.599 Samuel Roberts: Google Docs all over the place, spreadsheets all over the place, and, like, for the customer service people to find that can be a lot of work, and so we’ve kind of streamlined that into a RAG system that you can just chat with the Google Chat bot called Andy, and
74 00:07:07.690 ⇒ 00:07:16.280 Samuel Roberts: it will query those documents, it’ll look up the people, right? And so that’s, you know, that’s kind of the AI side of things. It’s a little more product-y.
75 00:07:16.280 ⇒ 00:07:17.870 Luke Scorziell: So with that…
76 00:07:17.960 ⇒ 00:07:18.460 Samuel Roberts: Yeah.
77 00:07:18.460 ⇒ 00:07:19.410 Luke Scorziell: bet.
78 00:07:20.630 ⇒ 00:07:23.620 Luke Scorziell: Like, the problem literally was that…
79 00:07:23.770 ⇒ 00:07:29.989 Luke Scorziell: they just had a million Google Sheets, or Google Docs everywhere, and, like, no one knew how to access and, like.
80 00:07:30.380 ⇒ 00:07:47.659 Samuel Roberts: Yeah, so if you imagine, like, you’re getting a call, and someone’s, you know, wants their… someone to come out and work on their pool, or spray for mosquitoes, or whatever kind of thing, you have to be like, okay, who’s the tech that does this location, that service.
81 00:07:47.680 ⇒ 00:07:56.960 Samuel Roberts: Or, you know, what’s a certain flow like if they need to cancel something, or, you know, they’re… they’re upset about something? Like, what are the different things that,
82 00:07:57.350 ⇒ 00:08:11.249 Samuel Roberts: you know, especially for training these new people, like, you have to… if you’re an experienced one, you probably know exactly where to look in the right document and find the right language and stuff, but for, like, onboarding new people especially, it’s… it was just scattered.
83 00:08:11.830 ⇒ 00:08:15.089 Luke Scorziell: Yeah, yeah. No, I mean, that makes sense, like, even right now with Brainforge, it’s like, I’m.
84 00:08:15.090 ⇒ 00:08:21.239 Samuel Roberts: Yeah, I mean, and we’re, like, pretty… like, you know, there’s… you can go in and find meetings going back forever, but, like, still, like.
85 00:08:21.540 ⇒ 00:08:25.930 Samuel Roberts: getting that out and using it right is… no, it’s not trivial, like, there’s…
86 00:08:26.860 ⇒ 00:08:32.939 Luke Scorziell: Yeah, okay, okay, that’s… and then, so that’s the AI side, is kind of making maybe, like, custom…
87 00:08:33.690 ⇒ 00:08:37.690 Luke Scorziell: built, like, Products, so to say, for clients.
88 00:08:37.690 ⇒ 00:08:39.859 Samuel Roberts: Yeah, yeah, so, I mean, it’s… it’s…
89 00:08:40.179 ⇒ 00:08:42.920 Samuel Roberts: at this point, and I think that probably going forward, it’s like.
90 00:08:43.370 ⇒ 00:08:51.589 Samuel Roberts: kind of what we were doing internally, like, building our own platform that is, you know, takes the Zoom meetings, takes the transcripts,
91 00:08:51.670 ⇒ 00:09:00.329 Samuel Roberts: stores all that, you know, organizes it by client and stuff. Internal stuff, so the other project that I’m working on right now.
92 00:09:00.330 ⇒ 00:09:12.369 Samuel Roberts: is for Lilo, it’s a platform called Stitch. They’re, like, an ad agency, and so it’s, like, their internal, platform for them to talk over the data and stuff that they have in Klaviyo or Shopify or other things like that.
93 00:09:12.370 ⇒ 00:09:22.910 Samuel Roberts: So, you know, it’s still product-y, but it’s not, you know, SaaS scaling, which is a nice, nice little constraint to have, that it doesn’t need to go to millions of users, you know.
94 00:09:24.290 ⇒ 00:09:38.299 Samuel Roberts: But yeah, it’s… I mean, if you want to think of it as, like, products with, you know, specific use cases for our clients or for us, basically. You know, accelerating our efficiency, or, you know… We built a whole stand-up tool a little while ago, because UTAM was running, like.
95 00:09:38.590 ⇒ 00:09:48.260 Samuel Roberts: two giant stand-ups, and it was a lot of different clients, and so now that synthesized a whole bunch of stuff. Just little things like that, that we try to, like, add little, you know.
96 00:09:49.420 ⇒ 00:09:51.130 Samuel Roberts: these places, but yeah.
97 00:09:51.130 ⇒ 00:09:56.669 Luke Scorziell: And another term… so stand-ups are… this is another term that I’ve encountered… I’m like, I think I know what it means, but then.
98 00:09:56.670 ⇒ 00:09:57.929 Samuel Roberts: Yeah, yeah, sure, sure, sure.
99 00:09:57.930 ⇒ 00:09:58.750 Luke Scorziell: I don’t…
100 00:09:59.080 ⇒ 00:10:02.480 Samuel Roberts: So, like, classically, a stand-up is, like, part of,
101 00:10:02.830 ⇒ 00:10:15.670 Samuel Roberts: I think it’s, like, an Agile term originally. So the idea is, like, everyone gets together in the morning, literally standing around a circle, and just says what they worked on yesterday, what they’re working on today, and any blockers. And so it’s supposed to be, like, a very quick check-in
102 00:10:17.060 ⇒ 00:10:30.709 Samuel Roberts: that just gets everyone on the same page, makes sure that anything that’s blocking is surfacing, things like that. For us, it’s a little different, because there’s lots of different clients, and people are bouncing around, and so, you know, it kind of comes out of that, like, software development.
103 00:10:31.260 ⇒ 00:10:31.820 Luke Scorziell: Okay.
104 00:10:31.820 ⇒ 00:10:46.150 Samuel Roberts: term, but it’s basically just, like, the morning check-in, let’s see how everything went, what’s going on, you know, what tickets moved, what’s blocking, catching people up, keeping on the same page, especially as a remote company where you have to be very intentional about that kind of communication, otherwise…
105 00:10:46.610 ⇒ 00:10:54.179 Samuel Roberts: It can go… you can go days without talking to someone if you don’t have, like, a check-in kind of thing. And so, you know, we’ve gone through a few different
106 00:10:54.590 ⇒ 00:10:58.209 Samuel Roberts: phases, I guess, where we, you know, we had kind of team-based
107 00:10:59.000 ⇒ 00:11:05.739 Samuel Roberts: or, like, services-based, so, like, you know, we had an AI one, there’s a data one. Now… so now there’s the data, there’s the…
108 00:11:08.220 ⇒ 00:11:16.659 Samuel Roberts: what’s the other one? Yeah, like, the analytics, one, and now we have the AI. So, like, it’s kind of broken into those three services now. At one point.
109 00:11:16.770 ⇒ 00:11:20.940 Samuel Roberts: There was, you know, a per-client stand-up, which got…
110 00:11:21.580 ⇒ 00:11:26.450 Samuel Roberts: You know, not everyone was on every one of them, but some of us were, and it meant that you had four…
111 00:11:26.820 ⇒ 00:11:39.029 Samuel Roberts: back-to-back-to-back-to-back meetings in the morning that was just killing time, so we kind of have streamlined that a little bit more, but it’s really just, like, a check-in to make sure everyone’s on the same page, and that things are moving along, and things aren’t falling through the cracks.
112 00:11:39.130 ⇒ 00:11:40.829 Samuel Roberts: But yeah, that’s the idea there, so…
113 00:11:40.830 ⇒ 00:11:42.580 Luke Scorziell: Okay, sweet.
114 00:11:42.700 ⇒ 00:11:46.840 Luke Scorziell: Well, good… good to know, because I was like, I… does it involve the client? Is it a…
115 00:11:46.910 ⇒ 00:11:53.579 Samuel Roberts: Yeah, I just don’t know. Yeah, no, this is… this is a much more, internal thing. There’s other check-ins with clients,
116 00:11:53.750 ⇒ 00:12:04.329 Samuel Roberts: we tend to do, like, a weekly check-in with every client, at least the ones I’ve been on. Obviously, there’s slightly different cadences, but, you know, they’re all in Slack, too, so it’s…
117 00:12:04.570 ⇒ 00:12:08.919 Samuel Roberts: becomes really big on keeping them informed and keeping them in the loop on things.
118 00:12:09.150 ⇒ 00:12:13.600 Luke Scorziell: Yeah. But also having, like, a weekly stakeholder check-in so that it doesn’t go, you know.
119 00:12:14.440 ⇒ 00:12:19.390 Samuel Roberts: A month without, you know… Keeping them up to date about what’s going on,
120 00:12:19.440 ⇒ 00:12:37.659 Samuel Roberts: Or getting their input on what we’re doing, you know, keeping them in the loop for that, especially for, like, the product stuff. I imagine it’s similar for the data stuff. I don’t have a ton of insight into that, because that’s not my background, and I haven’t done a ton of it, but, you know, they’re asking questions, they’re getting ad hoc requests, they’re doing all kinds of things as well, in addition to, like, setting up those systems for people, so…
121 00:12:38.030 ⇒ 00:12:43.279 Luke Scorziell: So, okay, so then you sit more, and I guess you said this, on the AI side.
122 00:12:43.590 ⇒ 00:12:44.370 Samuel Roberts: Yeah.
123 00:12:44.780 ⇒ 00:12:50.720 Luke Scorziell: Okay, so, and then the data side, I guess, to the best of your knowledge, like, what is the difference?
124 00:12:50.950 ⇒ 00:12:55.649 Luke Scorziell: But, like, is that just more organizing, and shouldn’t…
125 00:12:56.170 ⇒ 00:13:02.469 Samuel Roberts: Yeah, I mean, yeah, so, like, you know, if we’re building, like, a tool or an interface that someone’s using, they’re…
126 00:13:02.770 ⇒ 00:13:05.589 Samuel Roberts: Taking, like, a bunch of data sources.
127 00:13:05.770 ⇒ 00:13:08.860 Samuel Roberts: You know, putting them into a data warehouse.
128 00:13:09.210 ⇒ 00:13:18.099 Samuel Roberts: Modeling all that data in a way that can actually be, like, queried well. Doing those queries, figuring out, and then the analysis side is then, like, using that data to
129 00:13:19.340 ⇒ 00:13:22.149 Samuel Roberts: Either make decisions, or find insights, or do whatever.
130 00:13:22.560 ⇒ 00:13:28.459 Luke Scorziell: And so, okay, so… Data warehouse. I’m just gonna… Yeah. You’re the…
131 00:13:28.520 ⇒ 00:13:36.680 Samuel Roberts: You’ve become my, my person to explain things to me. That’s fine, I mean, this is where you’re stretching a little bit of my expertise here, but yeah.
132 00:13:36.680 ⇒ 00:13:37.220 Luke Scorziell: Okay.
133 00:13:37.220 ⇒ 00:13:40.409 Samuel Roberts: It’s just a database, is really, you know, it’s, it’s.
134 00:13:40.410 ⇒ 00:13:42.929 Luke Scorziell: Because then there’s also, like, lake houses, or some…
135 00:13:42.930 ⇒ 00:13:54.969 Samuel Roberts: Yeah, there’s different ways of storing data. This is a little bit beyond my knowledge, so I’m not the one to answer everything here, but yeah, all these terms are things I’m… I’ve heard being, like, in the tech space, but haven’t dealt with
136 00:13:55.170 ⇒ 00:14:02.220 Samuel Roberts: explicitly. But yeah, like, a warehouse is sort of where you land a bunch of data. I think lakes are where you might get
137 00:14:02.670 ⇒ 00:14:05.160 Samuel Roberts: unorganized data?
138 00:14:07.080 ⇒ 00:14:14.089 Samuel Roberts: And, like, if you imagine, different sources have different formats and different schemas, they call them, for, like.
139 00:14:14.360 ⇒ 00:14:19.270 Samuel Roberts: How things are organized, and so a lot of it is,
140 00:14:21.230 ⇒ 00:14:35.359 Samuel Roberts: flowing those things in a way that, you know, if you’re pulling things from Shopify, and you’re pulling things from Klaviyo for the email, like, you kind of know which customers are the same customers, or, you know, mapping these things together, but, like, the schemas might be different, so you have to, like.
141 00:14:35.360 ⇒ 00:14:41.269 Luke Scorziell: figure what IDs, and I’m sure I’m oversimplifying things, because again, it’s not my area, but that’s the… that’s my, you know.
142 00:14:41.310 ⇒ 00:14:54.059 Samuel Roberts: If you’re trying to synthesize all these things together. But then there’s, you know, differences with the, quality of the data, making sure that things are matching what they’re supposed to match, and coming in the right way, and
143 00:14:54.540 ⇒ 00:15:12.289 Samuel Roberts: Yeah, it’s a whole… it’s a whole world, you know, that’s sort of… I think the start of Brainforge was really, like, a data consultancy that way, and it’s… we’ve branched a little bit more into this AI stuff, because we’ve come… we’ve been on AI, like, internally, and then starting to sell that to other, you know, customers that wanted to make use of it as well, so…
144 00:15:12.650 ⇒ 00:15:13.360 Luke Scorziell: Yeah.
145 00:15:13.900 ⇒ 00:15:17.079 Luke Scorziell: Well, cause I guess, like, yeah, for me, I’m,
146 00:15:19.290 ⇒ 00:15:23.980 Luke Scorziell: you know, I’m trying to understand the sales process a little bit better.
147 00:15:23.980 ⇒ 00:15:24.360 Samuel Roberts: For sure.
148 00:15:24.360 ⇒ 00:15:30.389 Luke Scorziell: Like, are the people that we’re selling to always up to speed on all of these different terms that, like, from an.
149 00:15:30.390 ⇒ 00:15:34.180 Samuel Roberts: No. No. That’s different. Like, there’s some…
150 00:15:35.010 ⇒ 00:15:38.510 Samuel Roberts: And I’m finding this, because I’ve not worked in, like, a…
151 00:15:38.610 ⇒ 00:15:51.580 Samuel Roberts: you know, multiple client kind of consultants environment before. I’ve done freelancing, but this is different, where there’s, like, wildly different knowledge bases, and, like, who knows what, and how technical people are, and, like, we’re working with,
152 00:15:52.620 ⇒ 00:15:56.420 Samuel Roberts: CTA, who runs, the CES conference. Yeah.
153 00:15:56.620 ⇒ 00:15:57.150 Luke Scorziell: Yeah.
154 00:15:57.150 ⇒ 00:16:16.210 Samuel Roberts: And so, the woman we’re working with there is way more technical than, you know, someone we’re talking to on another project that’s just like, I just don’t know where… like, I want to stitch my data together, make sure that I know, like, what I’m selling on Amazon versus what I’m selling in Walmart kind of thing. Where she’s, like, a data person, and we’re kind of helping her
155 00:16:16.290 ⇒ 00:16:26.329 Samuel Roberts: like, manpower do stuff that, you know, there’s a lot of sources, as you can imagine, for a conference like that, so… Yeah. I’m noticing there’s differences, and I’m sure when you’re selling today, like, you have to kind of…
156 00:16:26.620 ⇒ 00:16:32.079 Samuel Roberts: Catch that quickly, and… and know, like, oh, they’re where they are on the scale,
157 00:16:33.040 ⇒ 00:16:40.219 Samuel Roberts: of understanding of the data, of the AI, of the, like, what they even have, like, what they… what they’re looking for.
158 00:16:41.210 ⇒ 00:16:45.520 Samuel Roberts: Yes. I’m sure there’s a wild, range there.
159 00:16:45.730 ⇒ 00:16:48.980 Luke Scorziell: Yeah, well, because it’s interesting, because I think on the…
160 00:16:49.760 ⇒ 00:16:56.500 Luke Scorziell: And this is just my perspective coming in as, like, a non-engineering, non… like, just outside of a lot of these things,
161 00:16:57.630 ⇒ 00:17:00.870 Luke Scorziell: is… it feels…
162 00:17:02.140 ⇒ 00:17:10.460 Luke Scorziell: difficult to… even just the term data, I think, can feel difficult to approach, because you’re like… Yeah. All of a sudden, it’s… it just triggers in my mind, like.
163 00:17:11.390 ⇒ 00:17:14.199 Luke Scorziell: I don’t need to pay attention to that, because it’s, like, not…
164 00:17:14.200 ⇒ 00:17:15.900 Samuel Roberts: Right, right.
165 00:17:15.900 ⇒ 00:17:22.530 Luke Scorziell: Like, I don’t have a data problem. When the reality is, like, as, you know, you’re explaining things, and like, I run my own marketing agency.
166 00:17:22.530 ⇒ 00:17:23.349 Samuel Roberts: Okay.
167 00:17:23.349 ⇒ 00:17:28.130 Luke Scorziell: And it’s like… Yeah, like, that’s,
168 00:17:28.349 ⇒ 00:17:39.310 Luke Scorziell: I want to offer what’s best for my clients, and right now I have, like, you know, certain software that I use, and it’s, like, easy to just use only that software, because then all the data can be in one spot.
169 00:17:39.310 ⇒ 00:17:39.840 Samuel Roberts: Oh my god.
170 00:17:39.840 ⇒ 00:17:44.940 Luke Scorziell: kind of know everything, but then it’s like, I have Notion, or I want to keep track of finances, I have
171 00:17:46.460 ⇒ 00:17:56.869 Luke Scorziell: like, I send invoices through the agency software, like, you know, I have my business bank account, I have, like, all these different accounts, and all these different places where,
172 00:17:57.690 ⇒ 00:18:07.000 Luke Scorziell: Yeah, just where things are, like, kept, and… I think…
173 00:18:07.460 ⇒ 00:18:11.280 Luke Scorziell: a challenge that I’m maybe seeing is how do we…
174 00:18:11.540 ⇒ 00:18:15.920 Luke Scorziell: Stop using, like, on the external, like, marketing lens, like.
175 00:18:16.050 ⇒ 00:18:26.710 Luke Scorziell: some of the more, like, technical terms that are gonna attract engineers and people who are, like, maybe interested in working with Brainforge, and how do we start speaking more in the terms of,
176 00:18:27.250 ⇒ 00:18:35.370 Luke Scorziell: Of… Like… you know…
177 00:18:35.810 ⇒ 00:18:38.219 Luke Scorziell: Speaking to real-world problems that people experience.
178 00:18:38.570 ⇒ 00:18:44.070 Samuel Roberts: Yeah, I think… I can definitely see that, especially, like, different sizes, like, different clients of different sizes, where
179 00:18:44.180 ⇒ 00:18:47.850 Samuel Roberts: Who you’re talking to, who the stakeholder is, is gonna vary, so…
180 00:18:47.960 ⇒ 00:18:52.860 Samuel Roberts: You know, like, big e-commerce versus a small e-commerce company is gonna have, you know.
181 00:18:52.970 ⇒ 00:19:11.550 Samuel Roberts: someone whose job it is to do data stuff, but, like, a smaller one is just like, oh, I have my site, I have where I’m selling things, I have my email marketing. You know, it’s like, they might understand that there’s information to be gleaned from that, but not necessarily, like, the terminology is not the important part there.
182 00:19:11.550 ⇒ 00:19:17.069 Luke Scorziell: Yeah, huh. And then, so, obviously, yeah, the data is a little bit… not your…
183 00:19:17.070 ⇒ 00:19:17.610 Samuel Roberts: Yeah.
184 00:19:17.610 ⇒ 00:19:19.349 Luke Scorziell: Total domain, but with the…
185 00:19:19.700 ⇒ 00:19:27.160 Luke Scorziell: like, when you’re explaining, like, AI to clients, or explaining, like, how you’re gonna solve, like, their solutions, like.
186 00:19:27.460 ⇒ 00:19:37.039 Luke Scorziell: you know, maybe two questions, like, are they as up to speed at all? Or, like, well, how do you… how are you, like, explaining, this is what we’re gonna do for you, and, like, these are how… this is how we’re helping?
187 00:19:37.500 ⇒ 00:19:45.680 Samuel Roberts: Yeah, I mean, it varies, just like the data stuff. And AI is a little different, where things are moving so quickly, so, like, the state of the art, like, the current
188 00:19:45.970 ⇒ 00:19:51.200 Samuel Roberts: Best practices or whatever are changing pretty rapidly, even if someone is
189 00:19:51.380 ⇒ 00:19:54.169 Samuel Roberts: Technical, they might not be up-to-date on…
190 00:19:54.790 ⇒ 00:20:02.449 Samuel Roberts: the best tooling, or the best practices, or, the terminology. So, it’s definitely, like, a… you gotta feel them out a little bit.
191 00:20:02.730 ⇒ 00:20:03.300 Luke Scorziell: Mmm.
192 00:20:03.300 ⇒ 00:20:13.959 Samuel Roberts: like, the legal guys that we’re working with, like, they were working with another dev shop before, and they got, like, no technical documentation. They got no design documentation, which…
193 00:20:14.080 ⇒ 00:20:25.649 Samuel Roberts: they don’t really seem to care about, but, you know, we want to keep them in the loop, at least, so there’s definitely, like, an understanding of, like, okay, well, I’m not going to go into the nitty-gritty of what’s going on, but they know what an MCP server is in terms of, like.
194 00:20:25.650 ⇒ 00:20:37.750 Samuel Roberts: how they’re gonna talk to their data in Klaviyo or Shopify. So there’s, like, they know that that’s a thing, almost, and that they can do it, and they were doing it, and we need to fix it for them, but if I’m gonna get into the nitty-gritty of
195 00:20:38.200 ⇒ 00:20:48.980 Samuel Roberts: you know, the different models, or, like, different… I have to kind of understand where they’re at, and that’s something I’m still learning a little bit on different clients.
196 00:20:49.670 ⇒ 00:21:08.870 Samuel Roberts: I don’t have a good system in place for that, it’s really just, you know, we… I’ve been on a few sales calls with Utom where, you know, some people were, like, they knew exactly what to ask, they knew what tools, like, we were mentioning other tools, and like, oh yeah, we’ve looked at that, we’ve looked at that, we’ve done this, we’ve done that, and other calls where it’s… it’s just, you know, the other end where it’s…
197 00:21:09.000 ⇒ 00:21:13.049 Samuel Roberts: I’ve been told I gotta do some AI stuff from higher-ups kind of thing, and that’s…
198 00:21:13.050 ⇒ 00:21:13.520 Luke Scorziell: Huh.
199 00:21:13.520 ⇒ 00:21:15.410 Samuel Roberts: You know, they don’t really have much more than that.
200 00:21:15.920 ⇒ 00:21:20.760 Luke Scorziell: And who are the clients that you enjoy working with more, or do you have, like.
201 00:21:20.930 ⇒ 00:21:24.540 Luke Scorziell: Or just, like, the velocity or the efficiency?
202 00:21:25.000 ⇒ 00:21:30.469 Luke Scorziell: Like, are there clients that you’re like, oh, these, this, like, if I could have more clients like this, this would be better for the business?
203 00:21:31.020 ⇒ 00:21:33.500 Samuel Roberts: That’s a good question.
204 00:21:36.850 ⇒ 00:21:40.849 Samuel Roberts: I mean, one thing that’s interesting, we were just discussing this on our stand this morning, is, like, the legal guys.
205 00:21:41.240 ⇒ 00:21:47.099 Samuel Roberts: don’t necessarily want anything but, like, the output. They want their thing to work, they don’t care about, like.
206 00:21:47.110 ⇒ 00:22:02.010 Samuel Roberts: some of the planning as much, or going into that, whereas, like, some of the other clients, like ABC, for example, we’re keeping them up to date on a lot more progress and what’s happening and things. For me, I kind of like just getting the stuff done and getting it out, and that’s nice, and it’s,
207 00:22:02.190 ⇒ 00:22:04.169 Samuel Roberts: kind of why I got into…
208 00:22:04.430 ⇒ 00:22:10.129 Samuel Roberts: software in general is just that, like, iteration cycle and how quick it can go. And so…
209 00:22:10.180 ⇒ 00:22:14.729 Samuel Roberts: I mean, like, realistically, like, the best thing I like working on is a lot of the internal stuff for us, because…
210 00:22:14.740 ⇒ 00:22:31.530 Samuel Roberts: you know, we… it’s just us, there’s not as much risk to using the wrong tool, because obviously it can have a business effect, but it’s less of a, oh, we screwed this client by picking some… some startup that went under. You know, whereas we get to play with a lot more, like, cutting-edge stuff.
211 00:22:31.600 ⇒ 00:22:35.329 Samuel Roberts: In a way that’s a little more risky, maybe?
212 00:22:35.460 ⇒ 00:22:47.489 Samuel Roberts: But I think, you know, with a lot of this AI stuff, like I said, it’s moving quickly, it’s moving fast no matter what, so, you know, if you pick a tool that might have been the right tool a year ago, it’s not the right tool in a year, so, you know, who knows?
213 00:22:48.060 ⇒ 00:22:55.019 Samuel Roberts: So really, like, I’m just enjoying, like, this kind of internal tooling product stuff we’re selling to people, like,
214 00:22:55.320 ⇒ 00:23:00.709 Samuel Roberts: Like, the chatbot for… you know, it’s not a chatbot that’s going live on their site, where we have to worry about.
215 00:23:01.070 ⇒ 00:23:01.750 Luke Scorziell: Yeah.
216 00:23:01.750 ⇒ 00:23:15.099 Samuel Roberts: as many malicious actors, or… or scalability, or stuff like that, but it’s… it’s how do we, like, increase a certain type of role’s efficiency, or, give them the tools to be able to upsell. Or, like, it’s very, like…
217 00:23:15.250 ⇒ 00:23:23.619 Samuel Roberts: I mean, concrete’s not quite the right word, but I like the… the… Pieces we’re biting off aren’t…
218 00:23:23.760 ⇒ 00:23:28.249 Samuel Roberts: yeah, we can just build you a big AI thing. It’s like, no, no, no, you need this type of thing.
219 00:23:28.250 ⇒ 00:23:28.700 Luke Scorziell: orb.
220 00:23:28.700 ⇒ 00:23:47.090 Samuel Roberts: What are you looking for? Yeah, what are you looking for? How do we solve that? It’s… and… and the level of how technical they are is almost less important than what are they… what are they trying to do for their own business, and how can we help with that? And it’s… because it’s internal, I’m liking that a lot more. And so, so far, most of the stuff we’ve been doing has been that way.
221 00:23:49.210 ⇒ 00:23:55.720 Samuel Roberts: Which is a nice place to play in, because you don’t have, like I said, worry about scalability, you don’t have to worry about a lot of stuff that
222 00:23:56.000 ⇒ 00:24:04.359 Samuel Roberts: I mean, you have to worry enough about it to make sure that, like, it’s working, but you don’t have to be able to, like, turn on hundreds of servers overnight if something blows up, kind of thing, so…
223 00:24:04.510 ⇒ 00:24:10.019 Luke Scorziell: Yeah, yeah, yeah, well, I guess, like, you know.
224 00:24:10.730 ⇒ 00:24:13.490 Luke Scorziell: It’s probably been the most helpful.
225 00:24:13.730 ⇒ 00:24:15.810 Luke Scorziell: engineering side call I’ve had so far.
226 00:24:15.810 ⇒ 00:24:17.089 Samuel Roberts: Oh, okay.
227 00:24:17.090 ⇒ 00:24:23.379 Luke Scorziell: Thank you. Yeah. But, yeah, I think,
228 00:24:30.140 ⇒ 00:24:30.940 Luke Scorziell: Oh, what’s it.
229 00:24:31.480 ⇒ 00:24:37.190 Luke Scorziell: Like, the benefit… Or, like, my goal, you know, is to attract
230 00:24:37.430 ⇒ 00:24:46.119 Luke Scorziell: and get the, like, clients that are best for the business. And so… Yeah. So, like, you know, just in your mind, too, or just even as…
231 00:24:46.310 ⇒ 00:24:51.579 Luke Scorziell: I’d love to, yeah, maybe set another time, like, in a week or two to catch up. I know, obviously, it’s the holidays.
232 00:24:51.780 ⇒ 00:24:55.820 Samuel Roberts: Yeah, true, but yeah, I know I can give a little more thought to that, because I think, you know, we’ve…
233 00:24:56.410 ⇒ 00:25:00.130 Samuel Roberts: There’s only been a handful of, like, AI-heavy clients.
234 00:25:00.240 ⇒ 00:25:12.620 Samuel Roberts: This is the nature of, like, it was a more data… we were more data-focused, and, like, I… like I said, when I came on in July, there was really ABC. There have been a couple other smaller ones that were interesting,
235 00:25:13.810 ⇒ 00:25:22.599 Samuel Roberts: And Lilo’s the new one that’s pretty interesting, and I think has legs to go on for a while, because they have a lot of… they’re interesting because they have things they want
236 00:25:22.910 ⇒ 00:25:26.910 Samuel Roberts: To build, and they’re… Using things.
237 00:25:28.180 ⇒ 00:25:32.799 Luke Scorziell: to prototype on their own a little bit. So they’re… they’re almost, like, just…
238 00:25:33.210 ⇒ 00:25:43.230 Samuel Roberts: using the tools enough to be dangerous that they’re like, this is what’s possible, can you make this into our platform kind of thing? And it’s… it’s a nice… so far, I think it’s a nice balance, because they’re not…
239 00:25:43.930 ⇒ 00:25:53.380 Samuel Roberts: You know, so technical that it’s… it’s… they know exactly what they need to do, but they also know, like, what’s possible, and we can kind of guide them in the right way of
240 00:25:53.510 ⇒ 00:25:54.879 Samuel Roberts: how to… how to…
241 00:25:55.460 ⇒ 00:26:01.819 Samuel Roberts: fit these things in. So that is an interesting element of this one that I hadn’t really brought up yet, but I think it’s… they’re using…
242 00:26:01.820 ⇒ 00:26:04.600 Luke Scorziell: They’re, like, interested in AI, and.
243 00:26:04.600 ⇒ 00:26:14.929 Samuel Roberts: Yeah, and they’re, like, vibecoding on Replit, which I don’t know if you’ve heard of Replit, but it’s a platform to, like, go on and just be like, I want an app that does this, and it has a whole editor and the browser and stuff.
244 00:26:14.930 ⇒ 00:26:16.660 Luke Scorziell: I’ve been using Level 2 online.
245 00:26:16.660 ⇒ 00:26:26.650 Samuel Roberts: Yeah, exactly, exactly. So they’re doing stuff like that, and then they’re like, but I know that’s not necessarily gonna just map onto the app that they already had, but they know it’s…
246 00:26:26.650 ⇒ 00:26:45.950 Samuel Roberts: possible. And so it’s not so much that… I’ve been to some… there was a, like, a meetup I went to where a guy was telling me, like, you didn’t have to hire any devs anymore, you just build it yourself, and all this other stuff using AI, and I was like, yeah, you can for a little while, good luck with that, like, see how it goes. But, you know, for little things, I’ve done that same thing, but there’s definitely a…
247 00:26:46.290 ⇒ 00:26:50.209 Samuel Roberts: You know, you want it to work and be a little hardened, and not just,
248 00:26:50.510 ⇒ 00:26:53.399 Samuel Roberts: That being said, they’re getting better, too, so we’re using it, you know.
249 00:26:54.500 ⇒ 00:26:58.269 Samuel Roberts: So, it’s an interesting balance right now, where, you know.
250 00:26:58.860 ⇒ 00:27:03.199 Luke Scorziell: Well, it is interesting. I think that one thing in talking to Robert,
251 00:27:04.080 ⇒ 00:27:08.659 Luke Scorziell: and kind of a value that I think he sung me about Brainforge is, like.
252 00:27:08.790 ⇒ 00:27:13.630 Luke Scorziell: Yeah, you can do vibe coding, you can do… you can do… you can theoretically do all this stuff
253 00:27:13.900 ⇒ 00:27:22.340 Luke Scorziell: now, like, you know, a lot of… like, I have no computer science background. I coded, like, a pretty advanced quiz for one of my clients that, like, helps… helps users find, like.
254 00:27:22.450 ⇒ 00:27:27.090 Luke Scorziell: the right hot tub, based on, like, certain preferences, and then it, like…
255 00:27:27.090 ⇒ 00:27:27.580 Samuel Roberts: Yeah.
256 00:27:27.580 ⇒ 00:27:29.440 Luke Scorziell: I had weighted ranking or whatever to certain.
257 00:27:29.440 ⇒ 00:27:29.920 Samuel Roberts: Yeah, yeah, yeah.
258 00:27:29.920 ⇒ 00:27:34.590 Luke Scorziell: I had no clue about any of the logic behind it. It was all, like, you know, But,
259 00:27:35.790 ⇒ 00:27:41.950 Luke Scorziell: But then I… intuitively, like, then I started encountering issues with, like, I was trying to use Supabase, and I didn’t really know
260 00:27:42.420 ⇒ 00:27:43.910 Luke Scorziell: how that worked. It had, like.
261 00:27:43.910 ⇒ 00:27:44.230 Samuel Roberts: Yeah.
262 00:27:44.230 ⇒ 00:27:50.039 Luke Scorziell: errors on, like, sharing customer data, and I was like, well, I’m trying to fix this, but I don’t really know how, and, like.
263 00:27:50.750 ⇒ 00:27:57.649 Luke Scorziell: all the vibe coding in the world was not really getting me anywhere. And so, I think, yeah, my realization there is, like.
264 00:27:57.840 ⇒ 00:28:01.899 Luke Scorziell: were I to have a team like Brainforge that I could kind of say.
265 00:28:02.190 ⇒ 00:28:16.789 Luke Scorziell: here’s an idea of what I want, you know, tell me what’s… what else is possible, and can you help? I think that’s… that’s, like, interesting, and then it’s, like, the developers are still useful, because the reality is, right now, in the, like, vibe coding world that we live in.
266 00:28:17.130 ⇒ 00:28:21.750 Luke Scorziell: It might, like, in a year or two, I don’t know, maybe people are gonna have all these broken software systems.
267 00:28:21.750 ⇒ 00:28:26.199 Samuel Roberts: Yeah, so that’s what scares me. Even using the tools right now myself, like…
268 00:28:27.310 ⇒ 00:28:44.180 Samuel Roberts: I have to kind of make the decision of, okay, it generated something, now how… I have to, like, dig in and see how it did it, and know what it’s right, or do I care right now? Am I just getting a fix out real quick, or am I just making a little tool for myself quickly, or is this something that’s going to be longer-lived?
269 00:28:44.220 ⇒ 00:28:49.729 Samuel Roberts: Yeah, it’s gonna be interesting in a few years, but like I said, the models are getting better, you know, who knows?
270 00:28:49.850 ⇒ 00:28:58.469 Samuel Roberts: Might be, you know, vibecode your way to fixing your vibe-coded app, who knows? I really don’t know at this point, but it is… it is good to think these things through. There’s definitely, like.
271 00:28:59.080 ⇒ 00:29:00.909 Samuel Roberts: This idea of, like.
272 00:29:01.120 ⇒ 00:29:06.840 Samuel Roberts: like, stepping back and being, like, a manager of AI agents, but you still have to have, like, a sense of the architecture and, like.
273 00:29:07.430 ⇒ 00:29:16.689 Samuel Roberts: where you’re going with it, and things like that, that I think is still valuable that we can bring to clients, even if they can get something in Replit, or, you know,
274 00:29:17.470 ⇒ 00:29:32.719 Samuel Roberts: you know, points them in the right direction. Like, we’re not discouraging them from doing that. In fact, it’s like, great, yeah, feel free to do that. Like, here’s how we’re building your app, and if you want it to play nice together in the future, like, make sure you’re telling your agent that you want it built in React, and you want it built…
275 00:29:32.830 ⇒ 00:29:48.429 Samuel Roberts: with this tool as well, or, you know, so, like, it’s… it’s kind of guiding them a little bit, and, like, keeping them engaged, obviously, too. But don’t… not discouraging being like, no, no, no, that’s garbage, you can’t ever use that, like, that’s just… that seems like it would be a bad idea.
276 00:29:49.190 ⇒ 00:29:58.209 Samuel Roberts: But I think it is… I think we haven’t, you know, we’re still in, like, the very early phases of, of this engagement, so I’m hoping that this is, like, a good,
277 00:30:00.420 ⇒ 00:30:08.560 Samuel Roberts: sign, I guess, that, you know, they’re gonna have lots of ideas, which is great, because, you know, I like building these things. I don’t necessarily want to brainstorm their…
278 00:30:08.810 ⇒ 00:30:22.199 Samuel Roberts: forecasting tool for them. I like that if they’re coming at us, and they’re saying, like, here’s our data, like, we… we’re using this tool, and it’s got too expensive, and we want to fold it into our own thing, like, that’s ideal for me, because I can run with that,
279 00:30:22.510 ⇒ 00:30:41.939 Samuel Roberts: and, you know, come up with, like, little things to add here or there, but it’s not just someone saying, like, we need to build an AI platform for our, our, you know, ad agency. It’s like, well, that’s… that’s so… so broad. Like, where do you go with that, you know? But they’re a little more like, we want this forecasting tool, we want this, you know, ad-generating tool, you know, like, they have things, it’s just…
280 00:30:41.940 ⇒ 00:30:45.500 Samuel Roberts: they’re not the ones that can do it, and I think that’s a good spot to be in right now for us.
281 00:30:45.980 ⇒ 00:30:52.480 Luke Scorziell: Yeah, cool, okay, dang, thanks for sharing. It’s honestly all super helpful, and I think, like…
282 00:30:53.560 ⇒ 00:30:57.450 Luke Scorziell: Yeah, I’ll probably circle back and try to pick your brain more.
283 00:30:57.450 ⇒ 00:30:58.450 Samuel Roberts: Yeah, totally.
284 00:30:58.800 ⇒ 00:31:02.420 Luke Scorziell: Because I think… Yeah, just as we, like…
285 00:31:02.580 ⇒ 00:31:16.330 Luke Scorziell: It’s like, there’s, like, the very tactical day-to-day stuff that’s happening already in the marketing team, and, like, it’s, like, trying to provide the support that I can there and whatever. But then, you know, where I thrive the most is more on, like, the bigger picture brand side of, like, where are we… where are we taking the ship?
286 00:31:16.330 ⇒ 00:31:18.309 Samuel Roberts: Yeah. And .
287 00:31:18.310 ⇒ 00:31:20.820 Luke Scorziell: I think, like, these conversations are really helpful, because it’s like.
288 00:31:21.340 ⇒ 00:31:23.700 Luke Scorziell: How do you pos… how do they position…
289 00:31:24.230 ⇒ 00:31:27.230 Luke Scorziell: Are we in a data…
290 00:31:27.340 ⇒ 00:31:29.859 Luke Scorziell: Consultancy? Are we an AI consultancy? Are we both?
291 00:31:29.860 ⇒ 00:31:30.230 Samuel Roberts: Right.
292 00:31:30.230 ⇒ 00:31:34.410 Luke Scorziell: How do they fit together? Yeah. Or do we want to be something bigger, something different?
293 00:31:34.410 ⇒ 00:31:35.160 Samuel Roberts: Yeah, fair.
294 00:31:35.520 ⇒ 00:31:36.330 Luke Scorziell: Boom.
295 00:31:36.470 ⇒ 00:31:42.889 Luke Scorziell: But, yeah, if you have any other, like, thoughts or anything, you know, feel free to shoot me a message or,
296 00:31:43.160 ⇒ 00:31:48.830 Luke Scorziell: like, always happy to chat, so… Yeah, totally, likewise. Or if I think it’s fine, I don’t want to work with them anymore.
297 00:31:48.830 ⇒ 00:31:59.660 Samuel Roberts: Yeah, no, I will totally… like I said, like, this is very early, they seem great to work with so far, but maybe I’m like, oh, these guys are, you know, the wrong kind of technic… or think they’re the wrong kind of technical, or who knows, but yeah, we’ll find out, you know?
298 00:31:59.660 ⇒ 00:32:12.849 Luke Scorziell: Yeah, because, I mean, it’s… and I always say this, like, a good brand attracts, but it also repels people, so you… like, the best messaging both signals, you know, that you are a good fit, but then it also signals to other people, like, you’re not a good fit.
299 00:32:12.850 ⇒ 00:32:13.630 Samuel Roberts: Yeah, that makes sense.
300 00:32:13.630 ⇒ 00:32:15.969 Luke Scorziell: So… but, yeah. Well, thanks, Sam.
301 00:32:15.970 ⇒ 00:32:16.530 Samuel Roberts: Cool, yeah.
302 00:32:17.300 ⇒ 00:32:21.359 Samuel Roberts: And yeah, talk to you at some point in the next few weeks, I guess, after Happy Holidays and Happy New Year, if I don’t.
303 00:32:21.360 ⇒ 00:32:23.059 Luke Scorziell: Yeah, thank you, likewise, yeah.
304 00:32:23.510 ⇒ 00:32:23.980 Samuel Roberts: Alright.
305 00:32:24.040 ⇒ 00:32:25.390 Luke Scorziell: Alright, you need bye.