Meeting Title: Gabe - Luke - Onboarding Chat Date: 2025-12-11 Meeting participants: Gabriel Lam, Luke Scorziell, Luke’s Notetaker
WEBVTT
1 00:00:58.470 ⇒ 00:01:01.090 Gabriel Lam: Hello! Sorry, give me… Thank you.
2 00:01:01.650 ⇒ 00:01:02.130 Luke Scorziell: No, I can’
3 00:01:07.140 ⇒ 00:01:08.080 Luke Scorziell: Hold on my…
4 00:01:11.980 ⇒ 00:01:12.929 Gabriel Lam: How are you?
5 00:01:13.370 ⇒ 00:01:19.420 Gabriel Lam: Good! Good to meet you. Good to meet you, I’m doing well. Oh, yeah.
6 00:01:20.930 ⇒ 00:01:28.969 Gabriel Lam: The half… the half shot. Now you’re good. It’s when your webcam’s at the top of your screen, and you gotta fiddle with it.
7 00:01:28.970 ⇒ 00:01:31.150 Luke Scorziell: Yeah, yeah, for sure.
8 00:01:31.260 ⇒ 00:01:34.000 Luke Scorziell: Yeah, sweet. Well, good to meet you.
9 00:01:34.000 ⇒ 00:01:35.889 Gabriel Lam: How’s it been so far for you?
10 00:01:36.790 ⇒ 00:01:40.870 Luke Scorziell: Good, it’s been…
11 00:01:41.930 ⇒ 00:01:48.260 Luke Scorziell: Yeah, like, last… not this Monday, but the previous Monday, Robert reached out, or Tom reached out and asked.
12 00:01:48.530 ⇒ 00:01:54.320 Luke Scorziell: if I would be down to, like, hop on a call later that week to maybe do some, like, go-to-market advising, and then…
13 00:01:54.500 ⇒ 00:02:06.019 Luke Scorziell: So it’s been a quick… a quick, process, but… So, I’m excited, learning a lot, and I have just had, like, a couple meetings and getting to know, like.
14 00:02:06.430 ⇒ 00:02:12.699 Luke Scorziell: just digging through the Notion to try to learn what I can from that, and getting logged on to everything, and
15 00:02:12.890 ⇒ 00:02:15.970 Luke Scorziell: Yeah, so… It’s been… it’s been good.
16 00:02:16.260 ⇒ 00:02:20.870 Gabriel Lam: Awesome! Yeah, I’d love to, like, learn a little bit more about, like, you and your background as well, and, like…
17 00:02:21.250 ⇒ 00:02:24.800 Gabriel Lam: Like, how you got, I guess, into this space?
18 00:02:25.140 ⇒ 00:02:29.669 Luke Scorziell: Yeah, for sure, and I… likewise to you. So I…
19 00:02:30.010 ⇒ 00:02:32.489 Luke Scorziell: Worked at a corporate job.
20 00:02:33.160 ⇒ 00:02:38.360 Luke Scorziell: geez, 20… left in 2024 of March?
21 00:02:38.490 ⇒ 00:02:40.469 Luke Scorziell: Or March of 2024, and then…
22 00:02:40.630 ⇒ 00:02:58.400 Luke Scorziell: started doing my own business, doing, like, marketing and brand. Not really having done any of that super, like, before, just kind of getting into it. And then, yeah, I did, like, brand strategies for a couple different,
23 00:02:58.610 ⇒ 00:03:03.650 Luke Scorziell: Smaller companies, and then last year,
24 00:03:05.130 ⇒ 00:03:15.869 Luke Scorziell: officially, like, started the business, I guess this year, and then pitched Robert and UTom earlier this year on doing, like,
25 00:03:16.160 ⇒ 00:03:20.480 Luke Scorziell: I think at that point it was, like, brand and messaging,
26 00:03:20.760 ⇒ 00:03:25.920 Luke Scorziell: In particular, and kind of how to, like, portray Brainforge and,
27 00:03:26.350 ⇒ 00:03:33.529 Luke Scorziell: differentiate it, and so then… but then… that was not the right time, so I think that was back in, like, May.
28 00:03:33.650 ⇒ 00:03:40.030 Luke Scorziell: And yeah, so I’ve been working since then just on, like, Small companies doing,
29 00:03:40.360 ⇒ 00:03:46.330 Luke Scorziell: Like, helping some small businesses with, like, their marketing and ads and messaging and whatnot, and then,
30 00:03:46.980 ⇒ 00:03:49.400 Luke Scorziell: Yeah, Utam reached out again,
31 00:03:49.850 ⇒ 00:03:52.739 Luke Scorziell: a couple weeks ago, and… so this is my first, like.
32 00:03:53.340 ⇒ 00:03:59.549 Luke Scorziell: gig working with a tech company, so I’m, like, learning all the… all the terms and all,
33 00:03:59.720 ⇒ 00:04:02.340 Luke Scorziell: Trying to understand the engineer’s mind.
34 00:04:02.420 ⇒ 00:04:06.709 Gabriel Lam: Oh, yeah, yeah, that’s… yeah, I feel that,
35 00:04:07.170 ⇒ 00:04:12.629 Gabriel Lam: I’m happy to share. I was trained as an architect, so very, very different.
36 00:04:12.630 ⇒ 00:04:13.289 Luke Scorziell: Oh, really?
37 00:04:13.290 ⇒ 00:04:15.630 Gabriel Lam: Sort of domain.
38 00:04:16.040 ⇒ 00:04:22.549 Gabriel Lam: But… in… during industry, I was working in corporate, and I was like, hey.
39 00:04:22.670 ⇒ 00:04:28.860 Gabriel Lam: You know, there’s all these tools, that are coming out that I think everyone’s interested in using.
40 00:04:29.060 ⇒ 00:04:35.700 Gabriel Lam: But I really noticed… When there’s, like, regulations and codes and… I guess, corporate.
41 00:04:36.000 ⇒ 00:04:41.800 Gabriel Lam: bureaucracy, there’s a lot of, like, buy-in that you have to get from everyone. It’s actually been really hard to…
42 00:04:42.230 ⇒ 00:04:48.370 Gabriel Lam: get either pilots approved, or even be like, hey, this is a workflow that I’d like to use, and also…
43 00:04:48.550 ⇒ 00:04:55.960 Gabriel Lam: almost, like, champion for the rest of my team, or rest of my office, and everyone’s like, well, can we pay for subscriptions? Can we do all this kind of stuff?
44 00:04:56.530 ⇒ 00:05:06.319 Gabriel Lam: So as a result, I… yeah, I ended up leaving, this June, and I’ve been doing, like, freelance work on the side,
45 00:05:06.500 ⇒ 00:05:16.109 Gabriel Lam: And… more or less… Had been serving this sort of, like, de facto product manager role.
46 00:05:16.500 ⇒ 00:05:17.390 Luke Scorziell: Yeah, yeah.
47 00:05:17.590 ⇒ 00:05:25.300 Gabriel Lam: But more… yeah, it’s sort of like, when the industry doesn’t have a tech term for it, they’re like, oh, we’ll just make you, like, a…
48 00:05:25.900 ⇒ 00:05:35.449 Gabriel Lam: designer, or strategist, or project manager, like, this kind of weird, like, term. And so, I had been talking with Robert,
49 00:05:35.630 ⇒ 00:05:38.530 Gabriel Lam: Previously, we’ve known each other for a while.
50 00:05:39.960 ⇒ 00:05:47.060 Gabriel Lam: And he was like, hey, like, there’s some work that Brainforge is doing, and if you and UTAM have a chat, see if there’s any alignment.
51 00:05:47.390 ⇒ 00:05:51.849 Gabriel Lam: let’s see what we can do there. So I joined about…
52 00:05:53.970 ⇒ 00:05:57.089 Gabriel Lam: Month ago? A month and a bit, and…
53 00:05:57.370 ⇒ 00:05:59.989 Gabriel Lam: Yeah, I’m also sort of getting my head around
54 00:06:00.620 ⇒ 00:06:09.220 Gabriel Lam: the velocity, things move pretty quickly here in ways that incorporate… you’re sort of used to, like, a chain of approval that sometimes slow things down.
55 00:06:10.730 ⇒ 00:06:15.920 Gabriel Lam: But it’s been good, it’s been really good. I’m specifically… I asked to be…
56 00:06:16.830 ⇒ 00:06:20.690 Gabriel Lam: not full-time, so I wanted to really just focus on
57 00:06:20.810 ⇒ 00:06:30.420 Gabriel Lam: the internal and AI aspect of the business, and so that was an arrangement we talked about, so… I know a lot about the platform, and I know a lot about
58 00:06:31.000 ⇒ 00:06:37.079 Gabriel Lam: where… like, sort of high-level strategy and vision for where the AI
59 00:06:37.750 ⇒ 00:06:44.180 Gabriel Lam: side is going, but I know less about, like, clients and the sort of go-to marketing side,
60 00:06:44.560 ⇒ 00:06:49.070 Gabriel Lam: As some of the other guys here. So, that’s a little bit about me.
61 00:06:49.430 ⇒ 00:06:54.049 Luke Scorziell: Yeah, and were you in a corp… were you in a corporate architecture role prior to this?
62 00:06:54.050 ⇒ 00:07:03.209 Gabriel Lam: Yeah, so I worked as an architect at a, like, huge European, like, engineering consultancy, so there are many arms.
63 00:07:03.550 ⇒ 00:07:05.450 Gabriel Lam: And I was an architecture arm.
64 00:07:05.560 ⇒ 00:07:12.949 Gabriel Lam: And even in, like, in engineering and consultants, like, in consulting, they’re like, oh, we gotta do all these things.
65 00:07:13.050 ⇒ 00:07:17.749 Gabriel Lam: And then I’m like, hey, let’s do it. And they’re like, wait, hold up, like, wait a minute.
66 00:07:17.750 ⇒ 00:07:18.140 Luke Scorziell: As I’m sure.
67 00:07:18.140 ⇒ 00:07:20.780 Gabriel Lam: I’m sure you might have, like, encountered yourself, so…
68 00:07:21.180 ⇒ 00:07:27.870 Gabriel Lam: Yeah, yeah, that’s sort of where I come from, and happy to be here. I think I’ve learned a lot even in the last month, so…
69 00:07:28.350 ⇒ 00:07:31.129 Gabriel Lam: You sort of get down and dirty pretty quickly.
70 00:07:31.400 ⇒ 00:07:36.340 Luke Scorziell: No, that’s awesome. Yeah, I know, I literally got a… a message from,
71 00:07:36.710 ⇒ 00:07:42.140 Luke Scorziell: Rico, that was like, oh, Tom asked if you could do this slide tomorrow at the presentation on.
72 00:07:42.140 ⇒ 00:07:42.600 Gabriel Lam: Oh, yeah.
73 00:07:43.030 ⇒ 00:07:46.400 Luke Scorziell: I was like… I guess, I can figure that out.
74 00:07:46.730 ⇒ 00:07:50.639 Gabriel Lam: Yeah, me too, and I was like, I don’t know what I’m gonna say, but I’ll do my best, and we’ll see what happens.
75 00:07:50.930 ⇒ 00:07:52.590 Gabriel Lam: Yeah, yeah.
76 00:07:52.590 ⇒ 00:07:54.810 Luke Scorziell: Well, tell me more, so it sounds like…
77 00:07:55.010 ⇒ 00:08:06.159 Luke Scorziell: By the internal platform, is that, like, the note-taking stuff that, like, records each meeting, and then, like, the internal, like, brain… like, what… what in particular is that?
78 00:08:06.490 ⇒ 00:08:10.710 Gabriel Lam: Yeah, so I can quickly bring it up,
79 00:08:11.150 ⇒ 00:08:13.849 Gabriel Lam: We call it the platform, we call it the forge.
80 00:08:14.040 ⇒ 00:08:16.830 Gabriel Lam: It’s got a bunch of different names,
81 00:08:17.540 ⇒ 00:08:22.039 Gabriel Lam: I don’t think we all… I don’t think we want to… just call it…
82 00:08:22.470 ⇒ 00:08:29.380 Gabriel Lam: an app, because it’s sort of more than just that. Let me try to find and share screen with you.
83 00:08:35.280 ⇒ 00:08:37.359 Gabriel Lam: Actually, let me share the whole screen.
84 00:08:43.789 ⇒ 00:08:49.359 Gabriel Lam: So, this is what we call the platform. It’s a lot of different things.
85 00:08:49.460 ⇒ 00:08:57.050 Gabriel Lam: And I will say that we are undergoing a pretty big migration. So, what you see here…
86 00:08:57.290 ⇒ 00:09:02.289 Gabriel Lam: is not… like, it’s pretty scrappy, there’s a lot in the roadmap.
87 00:09:02.900 ⇒ 00:09:04.790 Gabriel Lam: That we’re trying to do.
88 00:09:05.130 ⇒ 00:09:08.480 Gabriel Lam: And trying to implement… There’s also…
89 00:09:09.770 ⇒ 00:09:22.460 Gabriel Lam: In a consultancy, you know, client work comes first, and so oftentimes what we have to do here gets talked about, but often sidelined. It’s like, hey, you know, we got a client that, like, needs something out this week, let’s focus on that.
90 00:09:22.460 ⇒ 00:09:22.940 Luke Scorziell: Yeah.
91 00:09:22.940 ⇒ 00:09:29.400 Gabriel Lam: and then… Whatever engineering capacity we have at the end of it that we’ll try to slot into here.
92 00:09:30.790 ⇒ 00:09:34.610 Gabriel Lam: Essentially, what this is at the moment is a set of meetings.
93 00:09:35.060 ⇒ 00:09:43.449 Gabriel Lam: They get ingested pretty quickly, automatically, once Zoom is done preprocessing and uploading it.
94 00:09:43.570 ⇒ 00:09:46.789 Gabriel Lam: Ends up being around half an hour after
95 00:09:47.610 ⇒ 00:09:50.610 Gabriel Lam: a meeting ends on Zoom.
96 00:09:51.170 ⇒ 00:10:00.440 Gabriel Lam: And on your dashboard, you’ll see everything, but if you go to clients, say, you know, most recently.
97 00:10:00.770 ⇒ 00:10:12.960 Gabriel Lam: Element is a client that we just got. It’ll automatically, via the AI, filter out what’s a call that is associated with this client.
98 00:10:13.800 ⇒ 00:10:22.420 Gabriel Lam: Yeah. Within it, We recently worked on just getting summaries out, so you can see, like, Discussion points.
99 00:10:23.360 ⇒ 00:10:30.350 Gabriel Lam: there’s something wrong here, so I gotta… I gotta fix… I gotta fix this. Thanks for… I’m glad we had this,
100 00:10:30.630 ⇒ 00:10:45.980 Gabriel Lam: Let’s go through, because the hierarchy is wrong. But, like, there we go. So, discussion points, decisions, action items, follow-ups, and so this is just a way for us, if you ever need to look back on a meeting, be like, I have no idea what happened.
101 00:10:45.980 ⇒ 00:10:46.560 Luke Scorziell: Huh.
102 00:10:46.560 ⇒ 00:10:54.930 Gabriel Lam: Or UTAM’s like, hey, can you, you know, follow up on this thing? And you’re like, what thing? We have summaries, you have transcripts.
103 00:10:55.440 ⇒ 00:10:59.279 Gabriel Lam: For pretty much every meeting that is recorded.
104 00:11:01.180 ⇒ 00:11:14.619 Gabriel Lam: We use linear a lot, so that’s why we have things… we have this section called linear tickets, just for people who are any project managers, or are able to take a look and be like, hey, these are things that we need to…
105 00:11:15.060 ⇒ 00:11:19.140 Gabriel Lam: basically plan out the tasks for the roadmap. And so, this is…
106 00:11:19.370 ⇒ 00:11:27.920 Gabriel Lam: what I spend a lot of time on is just, like, what’s everyone able to do? What’s outstanding? And so that’s really more for me and the project managers.
107 00:11:28.080 ⇒ 00:11:32.079 Luke Scorziell: Yeah, I was curious with linear, because I was like, is this like Asana, but…
108 00:11:32.320 ⇒ 00:11:40.780 Gabriel Lam: Yeah, it’s like Asana. If you’ve used Asana, if you’ve used Jira, if you’ve used, like, even teams.
109 00:11:41.100 ⇒ 00:11:41.810 Luke Scorziell: Right?
110 00:11:42.010 ⇒ 00:11:47.989 Gabriel Lam: I come from a Teams org and not a Slack org, and so that was another thing that I had to figure out.
111 00:11:48.160 ⇒ 00:11:52.020 Gabriel Lam: In the meantime, we’re also working through a couple of
112 00:11:52.300 ⇒ 00:12:02.050 Gabriel Lam: assistants, AI assistants, and so… one of the goals we’re trying to really put is to have a source of truth.
113 00:12:02.250 ⇒ 00:12:16.309 Gabriel Lam: when you have all these different, like, linear, Slack, Zoom, all these calls, you’re like, where is the most up-to-date information? What’s the blocker? Are there things that we’re trying to do there? And so, this is an example of, like, an AI assistant that we built a couple weeks ago.
114 00:12:16.860 ⇒ 00:12:30.289 Gabriel Lam: Just as an example of, like, hey, this is what we did yesterday, these are the changes, these are some of the blockers that we have, and we have them for, you know, different clients. And so the goal, eventually, is that these would all be separated out per client, and so…
115 00:12:30.980 ⇒ 00:12:33.100 Gabriel Lam: There’s that. And then another.
116 00:12:33.100 ⇒ 00:12:39.029 Luke Scorziell: Meaning, like, with each of those, sorry, with each of those, like, the most up-to-date information is just gonna reside in here?
117 00:12:40.150 ⇒ 00:12:44.240 Gabriel Lam: that’s the eventual goal. I will say it’s not there yet, and so…
118 00:12:46.110 ⇒ 00:12:51.519 Gabriel Lam: I… I’m presenting the platform both as what it is now and what we hope it to be.
119 00:12:51.520 ⇒ 00:12:51.880 Luke Scorziell: Yeah, yeah.
120 00:12:51.880 ⇒ 00:12:54.160 Gabriel Lam: So there’s a lot of work to be done, for sure.
121 00:12:56.100 ⇒ 00:13:05.299 Gabriel Lam: But that’s just, like, one piece of the pie. Another example is, like, hey, we’re working on how do we interview people to get case studies out, and so this is another example of, like.
122 00:13:06.270 ⇒ 00:13:10.850 Gabriel Lam: Basically, trying to speed up
123 00:13:11.200 ⇒ 00:13:17.570 Gabriel Lam: and accelerate a lot of our workflows. And I think you’ll notice pretty quickly,
124 00:13:18.200 ⇒ 00:13:24.200 Gabriel Lam: especially with Utam, he’s really interested in accelerating
125 00:13:24.970 ⇒ 00:13:39.960 Gabriel Lam: his productivity, and, like, he has all these different ways in which he is interested in, like, hey, what are all these things that I’m doing that take up a lot of, you know, mindless hours that I just need to get out of the way? But I have to do it, because they’re administrative.
126 00:13:41.160 ⇒ 00:13:46.670 Gabriel Lam: So yeah, we’re trying to do case studies through this, and get marketing materials out.
127 00:13:46.800 ⇒ 00:13:51.520 Gabriel Lam: And then we also… have… You know.
128 00:13:51.890 ⇒ 00:14:04.220 Gabriel Lam: our set of assets that we use for marketing, and then we also have a list of deals. I think the deals mostly sit in HubSpot, and so this is more just a HubSpot, you know, you bring it over as a dashboard. So…
129 00:14:04.670 ⇒ 00:14:10.930 Gabriel Lam: Huh. At the moment, this is the general state of the forge. It’s just a place
130 00:14:11.740 ⇒ 00:14:17.069 Gabriel Lam: That holds a lot of information that we hopefully use as context.
131 00:14:17.330 ⇒ 00:14:20.869 Luke Scorziell: Yeah. That’ll be a word that you’ll probably hear a lot, which is…
132 00:14:21.120 ⇒ 00:14:22.630 Gabriel Lam: Like, what…
133 00:14:23.190 ⇒ 00:14:30.819 Gabriel Lam: you know, when you prompt, like, ChatGPT, you’re like, hey, I want you to figure out, you know, how to do this task, and it’s like, well.
134 00:14:30.820 ⇒ 00:14:44.700 Gabriel Lam: It’ll tell you what it thinks, but then it doesn’t have all the information that you know, as in all the meetings that you have, all the messages that you’ve made, all the files, or PDFs, or meeting minutes, or notes that you’ve compiled throughout the whole…
135 00:14:45.270 ⇒ 00:14:47.510 Gabriel Lam: You know, a couple weeks that you’ve been working on a project.
136 00:14:47.620 ⇒ 00:14:52.209 Gabriel Lam: And so that’s something that we’ve noticed, Is a limitation.
137 00:14:52.600 ⇒ 00:15:06.759 Gabriel Lam: And so, we’re working through the, like, is it better to build something ourselves? Is it better to use something off the shelf and customize it? So we are moving through… we’re working through an exercise there. That’s generally the forge.
138 00:15:06.850 ⇒ 00:15:13.589 Gabriel Lam: We use Slack for a lot of our channels, you know, you have client channels, you have internal channels.
139 00:15:13.830 ⇒ 00:15:21.360 Gabriel Lam: Most… Most of our messages is just through… like…
140 00:15:21.770 ⇒ 00:15:24.120 Gabriel Lam: the AI team, for example, most of our…
141 00:15:24.280 ⇒ 00:15:26.490 Gabriel Lam: Chats are just through a channel here.
142 00:15:26.610 ⇒ 00:15:31.660 Gabriel Lam: Direct messages really are just for, like, hey, like, Can you…
143 00:15:32.070 ⇒ 00:15:40.299 Gabriel Lam: like, I’m seeing this thing, I see your name on it, it’s just you on it, like, can I get a quick, you know, question out? Yeah.
144 00:15:40.450 ⇒ 00:15:44.979 Gabriel Lam: And we don’t really use huddles on Slack, most of it is on Zoom, just because we’ve already set up
145 00:15:45.160 ⇒ 00:15:56.689 Gabriel Lam: huddles are really for, like, you know, 2-5 minute, like, asks. The goal is just to use Slack for everything, just because we have the ingestion and any sort of
146 00:15:56.930 ⇒ 00:16:07.339 Gabriel Lam: project or team conversation ends up being maybe more productive. And you can always turn off a recording, there’s no requirement that you turn it on if you have, like.
147 00:16:07.620 ⇒ 00:16:11.970 Gabriel Lam: Got private conversation you want to talk about, there’s no, you know, you can always turn it off.
148 00:16:12.480 ⇒ 00:16:15.360 Gabriel Lam: And then linear, as I’m sure you’re used to.
149 00:16:15.530 ⇒ 00:16:22.050 Gabriel Lam: or I’m not used to, as I’m sure you’ve encountered, is basically how we manage projects at the moment,
150 00:16:23.870 ⇒ 00:16:26.449 Gabriel Lam: it’s like Asana, so as…
151 00:16:26.710 ⇒ 00:16:36.000 Gabriel Lam: I don’t know how much you’ve used linear before, but basically you have tickets, you know, and something that we are trying to do is also make tickets better, and so…
152 00:16:38.420 ⇒ 00:16:50.889 Gabriel Lam: tickets generated from the platform are a little more verbose, for good reason. We’re just like, let’s put as much information as we can, whereas if you just write your own ticket, it might be a lot simpler.
153 00:16:52.320 ⇒ 00:16:53.380 Luke Scorziell: So…
154 00:16:54.260 ⇒ 00:16:56.869 Gabriel Lam: And we organize by projects, so…
155 00:16:57.260 ⇒ 00:17:01.949 Gabriel Lam: you know, if you look at sales, we organize by projects. This is just a way for…
156 00:17:02.390 ⇒ 00:17:10.189 Gabriel Lam: You to, essentially, organize… The massive tickets you’ll probably encounter at some point.
157 00:17:12.660 ⇒ 00:17:16.039 Luke Scorziell: The biggest thing, like, tasks that other people give, or…
158 00:17:16.800 ⇒ 00:17:29.219 Gabriel Lam: Yeah, I mean, you can… you can put in your own tickets for tasks for yourself, if you’re managing other people, or if there’s something that you’re encountering, you’re like, hey, I’m blocked by this thing, you can assign it to someone else and be like, hey, I need…
159 00:17:29.910 ⇒ 00:17:32.370 Gabriel Lam: I need some, some help, there.
160 00:17:33.430 ⇒ 00:17:38.120 Gabriel Lam: So that’s, like, what, a 5-10 minute rundown of…
161 00:17:38.690 ⇒ 00:17:44.590 Gabriel Lam: The platform, if you have questions, like, happy to share a screen again, otherwise…
162 00:17:44.830 ⇒ 00:17:48.619 Gabriel Lam: Yeah. Feel free to shoot any question you may have.
163 00:17:49.310 ⇒ 00:17:52.150 Luke Scorziell: Yeah, yeah, no, that’s helpful, thank you.
164 00:17:52.990 ⇒ 00:17:54.200 Luke Scorziell: Definitely.
165 00:17:55.380 ⇒ 00:17:58.369 Luke Scorziell: A whole… a new, like,
166 00:17:59.380 ⇒ 00:18:03.369 Luke Scorziell: ecosystem to digest, and do you guys use Notion for…
167 00:18:03.470 ⇒ 00:18:05.839 Luke Scorziell: Like, what is the current status of Notion?
168 00:18:05.840 ⇒ 00:18:14.479 Gabriel Lam: Yes, so… Notion is what I will say is our current database of materials, so if I…
169 00:18:15.300 ⇒ 00:18:18.690 Gabriel Lam: I can share Notion,
170 00:18:26.160 ⇒ 00:18:30.769 Gabriel Lam: So, there’s a lot in Notion. Not all of it is up-to-date.
171 00:18:30.940 ⇒ 00:18:37.730 Gabriel Lam: And so, what I typically use for Notion is finding documentation. I usually will even just go to, like, home.
172 00:18:37.900 ⇒ 00:18:44.959 Gabriel Lam: And look through, like, you know, you have a prompt library that we are updating, you have, if you want to look at, like.
173 00:18:45.090 ⇒ 00:18:51.160 Gabriel Lam: SO… client SOPs, or, like… Sorry, not this one.
174 00:18:53.240 ⇒ 00:18:57.379 Gabriel Lam: like, how to do a case study, for example.
175 00:18:57.690 ⇒ 00:19:08.870 Gabriel Lam: A lot of it… a lot of the documentation currently sits in Notion. I will say, no, we… there hasn’t really been a very good
176 00:19:09.440 ⇒ 00:19:28.959 Gabriel Lam: sort of grooming or managing of the Notion stack, nor is it very good at connecting to most of our AI systems. And so, the reason why we use Notion is just because people know how to use it, it’s comfortable, and it started that way.
177 00:19:30.600 ⇒ 00:19:31.670 Gabriel Lam: But I think…
178 00:19:32.760 ⇒ 00:19:49.750 Gabriel Lam: what ends up being the best source of information of, like, hey, where do I find this thing, is probably talking to someone. So if you don’t find it in Notion, or if you’re like, it can be like, hey, you know, you might work with Hannah a lot, I know she is…
179 00:19:50.410 ⇒ 00:19:54.729 Gabriel Lam: maybe off, or not online yet.
180 00:19:56.740 ⇒ 00:20:11.130 Gabriel Lam: But Hannah’s someone that I work with pretty often, and I’m like, hey, I see this marketing thing, is this the most up-to-date? And she’ll usually say, like, yeah, yeah, that’s where I would go to, or no, you should go somewhere else. And so, you can use Notion as, like.
181 00:20:11.560 ⇒ 00:20:16.020 Gabriel Lam: Aware… a sort of database, and then you can fact-check with people.
182 00:20:19.450 ⇒ 00:20:20.060 Luke Scorziell: Nice, okay.
183 00:20:20.610 ⇒ 00:20:26.449 Gabriel Lam: If there’s something specific, you’re like, hey, I’m trying to look for this thing, I can also maybe direct you somewhere.
184 00:20:26.580 ⇒ 00:20:33.640 Gabriel Lam: I am… I use Notion a lot less than maybe the… other PMs.
185 00:20:34.960 ⇒ 00:20:37.750 Gabriel Lam: So… I’m biased.
186 00:20:38.100 ⇒ 00:20:42.590 Luke Scorziell: Yeah, I know, okay, sweet, that makes sense, because I’ve been, like, there’s…
187 00:20:42.830 ⇒ 00:20:45.890 Luke Scorziell: I use Notion for my business, and it’s like… Yeah.
188 00:20:47.130 ⇒ 00:20:51.179 Luke Scorziell: Well, it’s… it’s helpful, and I like it, but then at other times, I’m like.
189 00:20:51.500 ⇒ 00:20:54.640 Luke Scorziell: A little clunky and hard to, like… just…
190 00:20:54.890 ⇒ 00:21:01.459 Luke Scorziell: know where everything… or just you make, like, a database or something, and then it’s like, you don’t update it, and then if you don’t update it, then it.
191 00:21:01.460 ⇒ 00:21:01.810 Gabriel Lam: you.
192 00:21:01.810 ⇒ 00:21:04.730 Luke Scorziell: Everything else gets, like… behind, so.
193 00:21:04.730 ⇒ 00:21:05.280 Gabriel Lam: No.
194 00:21:05.960 ⇒ 00:21:06.580 Luke Scorziell: Yeah.
195 00:21:07.760 ⇒ 00:21:12.400 Luke Scorziell: Sweet, and I guess for you, like, I know, so…
196 00:21:13.040 ⇒ 00:21:15.399 Luke Scorziell: And did you go to USC? Did you know?
197 00:21:15.400 ⇒ 00:21:20.360 Gabriel Lam: I did not, I went to Cal for college.
198 00:21:20.360 ⇒ 00:21:20.830 Luke Scorziell: Oh, boy.
199 00:21:20.830 ⇒ 00:21:28.440 Gabriel Lam: Then I went to Harvard for… My grad school for architecture.
200 00:21:29.040 ⇒ 00:21:30.449 Luke Scorziell: Oh, dang, so you’re like…
201 00:21:30.450 ⇒ 00:21:38.390 Gabriel Lam: then… yeah. Then I worked in corporate, and then I know… I knew Robert… Through my partner.
202 00:21:39.940 ⇒ 00:21:48.810 Gabriel Lam: So my girlfriend, knows Robert, and so that’s how we initially connected years ago, before he even was a part of Brainforge, and so…
203 00:21:49.110 ⇒ 00:21:49.820 Luke Scorziell: Oh, that’s funny.
204 00:21:49.820 ⇒ 00:21:53.759 Gabriel Lam: Yeah, so that’s how… that’s how I ended up getting connected to here, and then to Utom afterwards.
205 00:21:54.300 ⇒ 00:22:01.900 Luke Scorziell: Yeah, yeah. Okay, cool. Cool. Yeah, I was just wondering, because I got connected to… Robert through,
206 00:22:03.570 ⇒ 00:22:05.850 Luke Scorziell: Kat Huang, I don’t know if you know her.
207 00:22:05.850 ⇒ 00:22:06.760 Gabriel Lam: I don’t know her now.
208 00:22:06.920 ⇒ 00:22:10.959 Luke Scorziell: Through my church, and then… so she connected me to Robert, and then…
209 00:22:11.380 ⇒ 00:22:12.130 Gabriel Lam: Nice!
210 00:22:12.470 ⇒ 00:22:18.029 Luke Scorziell: And then, robert and… I, I like that.
211 00:22:18.170 ⇒ 00:22:23.820 Luke Scorziell: went to a social that they had out in LA, and then,
212 00:22:24.740 ⇒ 00:22:31.310 Luke Scorziell: did, like, the whole pitch thing, and then got connected with Hannah and stuff, so it’s… it’s been… yeah, I’m kind of, like, piecing together who everyone is and how they…
213 00:22:31.310 ⇒ 00:22:36.820 Gabriel Lam: Yeah, no, that’s wild. Yeah, that’s crazy. I… Yeah,
214 00:22:37.020 ⇒ 00:22:45.200 Gabriel Lam: That’s really cool. I know Hannah through… Robert, so… Yeah, my…
215 00:22:45.760 ⇒ 00:22:49.779 Gabriel Lam: My girlfriend is very close with,
216 00:22:50.420 ⇒ 00:22:53.859 Gabriel Lam: grew up with Robert’s wife, and that’s how we first got connected, and so…
217 00:22:54.000 ⇒ 00:23:00.959 Gabriel Lam: We’ve been to LA a bunch to see them, and it’s sort of wild to then be like, hey, you know.
218 00:23:01.490 ⇒ 00:23:03.750 Gabriel Lam: Let’s work together,
219 00:23:03.890 ⇒ 00:23:08.040 Gabriel Lam: to be a little more transparent, I also don’t know how long I’ll be at Brainforge for.
220 00:23:09.510 ⇒ 00:23:15.429 Gabriel Lam: I’m sort of in between a lot of different things, as I’m sure, like, you know, you have your own business, so you understand, like.
221 00:23:15.760 ⇒ 00:23:17.619 Gabriel Lam: You’re balancing a bunch of different.
222 00:23:18.140 ⇒ 00:23:24.560 Gabriel Lam: things going on. But in the meantime, I’m like, hey, I… let me do what I can to support you guys.
223 00:23:24.960 ⇒ 00:23:32.489 Gabriel Lam: And myself, like, also learn the ropes of certain things. So yeah, it’s been really great, and…
224 00:23:32.990 ⇒ 00:23:41.230 Gabriel Lam: They’re great people. Everyone here has been pretty awesome to work with. So, yeah, I, I… you know.
225 00:23:41.480 ⇒ 00:23:45.909 Gabriel Lam: feel free to reach out to anyone, and I’m sure you’ll have a very similar experience of welcoming.
226 00:23:46.370 ⇒ 00:23:51.780 Luke Scorziell: Okay, sweet. Yeah, no, I appreciate that. And yeah, if there’s any ways to…
227 00:23:52.280 ⇒ 00:23:57.220 Luke Scorziell: That I can be of help, just as I get, you know, getting ramped up and stuff.
228 00:23:57.510 ⇒ 00:23:59.489 Gabriel Lam: Yeah, of course. Yeah.
229 00:23:59.490 ⇒ 00:24:02.929 Luke Scorziell: But, yeah, thanks for showing me around.
230 00:24:02.930 ⇒ 00:24:06.389 Gabriel Lam: Yeah, of course. Yeah, if there’s anything you…
231 00:24:07.280 ⇒ 00:24:10.849 Gabriel Lam: Like, any other questions, feel free to shoot them out.
232 00:24:11.330 ⇒ 00:24:15.219 Gabriel Lam: even if you don’t, if you just want to chat, just give me a ping, I think. Yeah.
233 00:24:16.390 ⇒ 00:24:18.500 Gabriel Lam: Yeah, don’t worry about it.
234 00:24:18.500 ⇒ 00:24:24.209 Luke Scorziell: Yeah, and are there ways, I don’t know, that you find it is helpful to work… like, if you’re working with Hannah, are there ways that…
235 00:24:25.020 ⇒ 00:24:31.350 Luke Scorziell: Like, you find helpful to work with the marketing team, or that the marketing team can, like, support you better in what you’re doing?
236 00:24:31.530 ⇒ 00:24:38.500 Gabriel Lam: I think marketing… is…
237 00:24:41.550 ⇒ 00:24:44.610 Gabriel Lam: In some ways, a little segregated.
238 00:24:45.550 ⇒ 00:24:46.200 Luke Scorziell: Hmm.
239 00:24:46.380 ⇒ 00:24:51.540 Gabriel Lam: And the reason why I say this is because… there’s…
240 00:24:52.320 ⇒ 00:25:01.850 Gabriel Lam: at least this is what I’ve… from what I’ve observed. There is a split between… Like, marketing ops, and…
241 00:25:03.890 ⇒ 00:25:04.680 Gabriel Lam: like…
242 00:25:04.950 ⇒ 00:25:16.369 Gabriel Lam: I’ll call it client work, which is marketing, like, in go-to-market gets you the client, or, like, gets you leads, and once the leads are established and they become clients, then they sort of get handed off.
243 00:25:16.810 ⇒ 00:25:24.350 Gabriel Lam: And so… My day-to-day, oftentimes, Interfaces more so with
244 00:25:26.520 ⇒ 00:25:34.510 Gabriel Lam: The execution of, like, how do we get client workout faster? Or, like, what are things that help people get workout faster?
245 00:25:34.790 ⇒ 00:25:42.980 Gabriel Lam: And… the way Utam and I have been trying to think about, oh, how do we get…
246 00:25:43.370 ⇒ 00:25:53.370 Gabriel Lam: non-technical folks to start using these tools that might need a little more technical ability? Like, how do we either upskill, or how do we simplify
247 00:25:53.510 ⇒ 00:25:55.989 Gabriel Lam: A bunch of these things to…
248 00:25:56.930 ⇒ 00:26:06.639 Gabriel Lam: get, like, you or Hannah maybe on some more difficult tools you might not have encountered before. Hannah has been a, like, a fantastic resource, because…
249 00:26:06.640 ⇒ 00:26:06.970 Luke Scorziell: Yeah.
250 00:26:06.970 ⇒ 00:26:12.300 Gabriel Lam: she… Has an engineering background, but is in marketing.
251 00:26:12.560 ⇒ 00:26:18.919 Gabriel Lam: And so… She’s able to understand, like, hey, us, like, we’re looking for this kind of output.
252 00:26:19.970 ⇒ 00:26:25.560 Gabriel Lam: You know, maybe it’s because of this part of the prompt, or we’re looking at…
253 00:26:25.950 ⇒ 00:26:45.829 Gabriel Lam: like, we’re getting this information from you, can you refine maybe this part? And so, I think getting feedback for us is a huge part, just like, hey, if we release something, or we’re like, hey, let’s try to get people to use this tool, and you’re like, I have no idea how to use it, or I don’t know how to set it up, or it’s giving me a bunch of weird errors.
254 00:26:45.920 ⇒ 00:26:49.449 Gabriel Lam: Then that’s, like, that’s fantastic for us, because now we know…
255 00:26:49.880 ⇒ 00:26:54.019 Gabriel Lam: Sort of on the ground level, how you guys are working with it, and…
256 00:26:54.760 ⇒ 00:26:55.230 Luke Scorziell: Huh.
257 00:26:55.230 ⇒ 00:26:56.700 Gabriel Lam: the, the…
258 00:26:56.700 ⇒ 00:26:58.570 Luke Scorziell: perspective I’m seeing is, like.
259 00:26:58.680 ⇒ 00:27:10.360 Gabriel Lam: A very large scale, like, you know, these are all the components that we need, because that’s how we get data in and data out, and information in and information out, and these are features that people need, but
260 00:27:10.790 ⇒ 00:27:14.650 Gabriel Lam: you might look at it, and you’re like, I don’t need it. Like, I don’t need…
261 00:27:15.350 ⇒ 00:27:27.960 Gabriel Lam: to use cursor to… I just want this thing. Like, I just want to get my… my sales SOWs out. I just want to get my, like, branding, copy.
262 00:27:28.180 ⇒ 00:27:32.409 Gabriel Lam: out. I just want my white paper or case study out.
263 00:27:32.640 ⇒ 00:27:34.690 Gabriel Lam: And so, there’s a sort of…
264 00:27:35.560 ⇒ 00:27:39.690 Gabriel Lam: like, meeting in the middle of, like, how do I get you guys to do your job?
265 00:27:39.820 ⇒ 00:27:48.439 Gabriel Lam: Or, like, get your stuff out faster, but also get you guys adopting, or even, like, on board with what we wanna do.
266 00:27:48.720 ⇒ 00:27:50.290 Luke Scorziell: So that…
267 00:27:50.290 ⇒ 00:27:52.580 Gabriel Lam: Like, we get over this little hump of…
268 00:27:52.980 ⇒ 00:27:55.840 Gabriel Lam: Like, this, like, learning curve.
269 00:27:56.070 ⇒ 00:28:12.569 Gabriel Lam: So once you get through the learning curve, and you’re like, hey, I can see exactly how I’m saving, like, hours every day from not writing sales SOWs. And, like, that’s amazing. But I have to spend, like, maybe a day at the very beginning to learn how to use Cursor, for example.
270 00:28:14.470 ⇒ 00:28:18.130 Gabriel Lam: So, that’s what I think the…
271 00:28:19.050 ⇒ 00:28:24.189 Gabriel Lam: the best… the most effective way to work has been. The other thing has just been, like.
272 00:28:24.770 ⇒ 00:28:28.379 Gabriel Lam: You, like, notice certain features of, like, oh, you know,
273 00:28:29.040 ⇒ 00:28:38.539 Gabriel Lam: one thing was Hannah was spending a lot of time doing interviews for case studies, and, like, interviewing different people in the team, and she was like, hey, I… I… I’m trying to find a half hour.
274 00:28:38.780 ⇒ 00:28:45.830 Gabriel Lam: To, like, meet up with, like, an engineer, or a data engineer, or, like, a product analyst.
275 00:28:46.070 ⇒ 00:28:53.459 Gabriel Lam: And she’s like, I am stuck here for, you know, 3 days, because they’re busy, and I’m busy, and so we built a thing that…
276 00:28:53.640 ⇒ 00:28:57.540 Gabriel Lam: you know, we do AI interviews for our case studies, and you just talk with,
277 00:28:57.670 ⇒ 00:29:02.929 Gabriel Lam: Talk with a bot, and… You can sort of just, like, word vomit and get everything out.
278 00:29:03.220 ⇒ 00:29:11.929 Gabriel Lam: And so that was, like, one example of, like, hey, we have a need, let’s see how it fits into the roadmap, and we’ll try to get it out. And so…
279 00:29:12.130 ⇒ 00:29:18.160 Gabriel Lam: Maybe on the more… marketing side, I think… Something that…
280 00:29:18.460 ⇒ 00:29:22.430 Gabriel Lam: Utam and Robert are trying to work on is getting bigger deals.
281 00:29:23.040 ⇒ 00:29:27.150 Gabriel Lam: And getting longer-term, larger clients.
282 00:29:27.700 ⇒ 00:29:30.710 Gabriel Lam: And a big part of that is demonstrating
283 00:29:31.370 ⇒ 00:29:34.599 Gabriel Lam: Additional services that they might be interested in.
284 00:29:35.740 ⇒ 00:29:43.030 Gabriel Lam: so I’m… I’m working on, like, a… a partnership demo with another…
285 00:29:44.680 ⇒ 00:29:50.109 Gabriel Lam: AI lab, that we partner with. It’s called Contextual AI.
286 00:29:50.900 ⇒ 00:29:57.180 Gabriel Lam: And… yeah, we’re… You know, they’re trying to break into new markets, right?
287 00:29:57.350 ⇒ 00:30:02.519 Gabriel Lam: In the case that I’m working on right now, it’s insurance. And this is through a connection that UTAM has.
288 00:30:02.710 ⇒ 00:30:05.029 Gabriel Lam: And trying to see how we can…
289 00:30:05.680 ⇒ 00:30:10.630 Gabriel Lam: Build demos, or even, like, leverage our services to… market to…
290 00:30:10.790 ⇒ 00:30:14.689 Gabriel Lam: Insurance brokers, or commercial underwriters, and all that kind of stuff.
291 00:30:14.950 ⇒ 00:30:20.900 Gabriel Lam: You know, they’re looking into legal, they’re looking into real estate, like, very, maybe.
292 00:30:22.530 ⇒ 00:30:31.929 Gabriel Lam: incumbent industries that rely a lot more on relationships, as opposed to, like, I’m going to get the cheapest, or best or fastest tool, right?
293 00:30:32.190 ⇒ 00:30:32.740 Luke Scorziell: Yeah.
294 00:30:32.740 ⇒ 00:30:34.690 Gabriel Lam: if I’m… if I’m selling a house.
295 00:30:35.620 ⇒ 00:30:44.740 Gabriel Lam: you know, you’re gonna come to me because you know who I am, or you trust me as a person. And if I’m, like, a real estate agent or a real estate brokerage, what I wanna do is…
296 00:30:45.330 ⇒ 00:31:00.540 Gabriel Lam: to go out and get more sales. I want to go out and meet more people. I’m not trying to, like, compare my policies or compare, you know, my calculations with, like, mortgage rates with other people, or, like, with your old policy. I’m not worried about that. I want tools that…
297 00:31:01.590 ⇒ 00:31:05.470 Gabriel Lam: get that done for me so I can then go out and get the next client.
298 00:31:05.700 ⇒ 00:31:12.999 Luke Scorziell: Yeah, yeah, huh. And that’s interesting. I worked with a mortgage broker, we did a rebrand for him, and
299 00:31:14.570 ⇒ 00:31:23.830 Luke Scorziell: Yeah, it’s, like, as automated as things can be for him, because he, like, I think he’s one of the top producing mortgage brokers in the US.
300 00:31:23.970 ⇒ 00:31:33.980 Luke Scorziell: like, at some point he mentioned, he was like, yeah, I’m in the top 1%. And I was like, what? Like, we gotta be saying that more. But he just spends all of his time going to…
301 00:31:34.360 ⇒ 00:31:35.740 Luke Scorziell: networking events.
302 00:31:35.740 ⇒ 00:31:36.070 Gabriel Lam: Yeah.
303 00:31:36.650 ⇒ 00:31:40.839 Luke Scorziell: Creating, like, presentations that add value, and building relationships, and…
304 00:31:40.840 ⇒ 00:31:41.300 Gabriel Lam: Right.
305 00:31:41.300 ⇒ 00:31:44.589 Luke Scorziell: So, yeah, I could see that being…
306 00:31:45.250 ⇒ 00:31:50.260 Luke Scorziell: And that’s… I think that’s something that I’ve noticed just more on, like, the external branding side and marketing is, like.
307 00:31:50.850 ⇒ 00:31:56.449 Luke Scorziell: a lot of… And maybe this is just, you know, engineers and people who are very in…
308 00:31:56.680 ⇒ 00:31:58.170 Luke Scorziell: AI and whatever.
309 00:31:58.670 ⇒ 00:32:01.659 Luke Scorziell: It’s a lot of… there’s a lot of, language that’s…
310 00:32:01.800 ⇒ 00:32:05.760 Luke Scorziell: I think, inaccessible if you’re not… In that world.
311 00:32:05.760 ⇒ 00:32:06.260 Gabriel Lam: Yeah.
312 00:32:06.260 ⇒ 00:32:07.980 Luke Scorziell: And…
313 00:32:08.250 ⇒ 00:32:23.159 Luke Scorziell: But I think, like, the cool thing about technologies is, like, no one knows… or, like, maybe some people know, but, like, no one knows what’s in, like, the iPhone, except, like, oh, the M6 chip. Like, I don’t even know what that means. It just means… to me, it means faster, better, and more powerful.
314 00:32:23.160 ⇒ 00:32:32.230 Gabriel Lam: Yeah, which is what matters to you as a user. Like, you don’t care about, like, hardware or chip size or, like, how many transistors there, like, that doesn’t matter to you at all.
315 00:32:32.230 ⇒ 00:32:37.439 Luke Scorziell: Yeah, so I think that’s maybe something that, as I’m thinking about, like, the overall messaging for Brainforge, like.
316 00:32:37.820 ⇒ 00:32:43.430 Luke Scorziell: I think leaning more into, like… like, I read over the code and textual PRD,
317 00:32:44.330 ⇒ 00:32:51.970 Luke Scorziell: And I like the part where I talked about, like, the Ian’s pain points or whatever, and just how it’s, like.
318 00:32:52.400 ⇒ 00:32:57.630 Luke Scorziell: Like, those are the things that I think lead people to buy more than…
319 00:32:57.900 ⇒ 00:33:10.889 Luke Scorziell: oh, we have, like, the latest and greatest, like… and it’s like, how do you just make my life easier? How do you help me to win more business? And, like, can I trust you? And, like, I think those are some of the,
320 00:33:11.690 ⇒ 00:33:15.049 Luke Scorziell: So, yeah, that’s helpful to know, too. And then it sounds like…
321 00:33:15.180 ⇒ 00:33:19.990 Luke Scorziell: The other way that you’re saying, like, marketing and you work together is, like, how to…
322 00:33:20.120 ⇒ 00:33:30.449 Luke Scorziell: make things more efficient and refine some, like, the mundane tasks that, like, the marketing team might be doing, that, like, it’s just like, hey, learn how to use this tool so you can, like.
323 00:33:30.690 ⇒ 00:33:34.940 Luke Scorziell: save time in the future by automating things that you don’t… is that kind of what you’re…
324 00:33:34.940 ⇒ 00:33:35.860 Gabriel Lam: Yeah, yeah, yeah, yeah.
325 00:33:35.860 ⇒ 00:33:36.730 Luke Scorziell: Yeah. Yeah.
326 00:33:37.640 ⇒ 00:33:46.029 Gabriel Lam: Yeah, I think, you know, you’ll probably notice at some point, either you’re, like, juggling too many things, or you just need a reminder, and…
327 00:33:46.460 ⇒ 00:33:50.000 Gabriel Lam: the… the…
328 00:33:50.530 ⇒ 00:34:06.520 Gabriel Lam: Yeah, there’s, like, a lot of distractions. Like, even for me, to try to figure out, like, hey, what am I doing today? What am I doing this week? How does it fit into everything? You know, you get a new meeting from someone else that comes in, and, like, that throws you off the wrench. Like, that, like, throws a wrench into whatever you’re working on. You’re like, okay, now I gotta get back into it.
329 00:34:06.740 ⇒ 00:34:09.879 Gabriel Lam: And so, a lot of this is also…
330 00:34:10.190 ⇒ 00:34:13.850 Gabriel Lam: like, feedback from Utom as he’s been…
331 00:34:14.360 ⇒ 00:34:21.310 Gabriel Lam: trying to build this side of the business of just, like, these are things I’m noticing I’m spending a lot of time on. Can I get people who…
332 00:34:21.560 ⇒ 00:34:30.409 Gabriel Lam: Are maybe less in the sales role to produce things that we can use better, and, like, there’s a lot of time lost in communication.
333 00:34:32.290 ⇒ 00:34:37.040 Gabriel Lam: for the AI… the internal AI team specifically.
334 00:34:37.469 ⇒ 00:34:46.210 Gabriel Lam: It’s pretty unique because most consultancies don’t… have a value on R&D.
335 00:34:46.750 ⇒ 00:35:00.819 Gabriel Lam: Right? It’s, like, it’s the market, like, it’s the way the industry is built. You have clients, you have billable hours, and, like, you’re paid for your service by the hour. And so you don’t really have enough
336 00:35:01.780 ⇒ 00:35:05.969 Gabriel Lam: capacity to be like, hey, I want to set aside
337 00:35:07.550 ⇒ 00:35:10.810 Gabriel Lam: you know, budget. Like, I want to set aside, like.
338 00:35:11.120 ⇒ 00:35:25.450 Gabriel Lam: two… two and a half thousand dollars a month of budget to pour into something, because I see how it saves time for the rest of us, or makes us work better, or faster, or we don’t have problems with our clients, or leads, or marketing.
339 00:35:25.730 ⇒ 00:35:27.940 Gabriel Lam: So it is, I think…
340 00:35:28.070 ⇒ 00:35:36.620 Gabriel Lam: it is a pretty… I’m in a pretty unique spot, that I’m thankful to be in, for sure. I’m, like, pretty grateful for this.
341 00:35:36.740 ⇒ 00:35:40.350 Gabriel Lam: But who knows? Who knows how long I’ll be in this situation as well, right? So…
342 00:35:40.560 ⇒ 00:35:41.350 Luke Scorziell: Yeah, yeah.
343 00:35:41.350 ⇒ 00:35:42.290 Gabriel Lam: We’ll see.
344 00:35:43.090 ⇒ 00:35:45.079 Luke Scorziell: Yeah, no, for sure. Well.
345 00:35:45.080 ⇒ 00:35:45.630 Gabriel Lam: No.
346 00:35:46.140 ⇒ 00:35:52.779 Luke Scorziell: Yeah, definitely let’s stay in touch, and I’d love to… yeah, just as I get more acclimated to…
347 00:35:53.230 ⇒ 00:35:55.480 Luke Scorziell: to things, and I think this month we’re…
348 00:35:55.830 ⇒ 00:35:58.989 Luke Scorziell: Starting out with… it sounds like Robert just wants someone to kind of…
349 00:35:59.650 ⇒ 00:36:05.459 Luke Scorziell: alleviate the pain point pretty quickly from him of having to run up the whole go-to-market team, so I think.
350 00:36:05.460 ⇒ 00:36:08.950 Gabriel Lam: Yeah, I know someone just left recently, and I think…
351 00:36:10.570 ⇒ 00:36:18.390 Gabriel Lam: Yeah, I think to my knowledge, there’s a lot of need in the go-to-marketing, for sure. So, you…
352 00:36:18.560 ⇒ 00:36:21.560 Gabriel Lam: You came at a perfect timing.
353 00:36:21.790 ⇒ 00:36:29.110 Luke Scorziell: Great, yeah, I’m excited for it, so… But yeah, if there’s anything I can ever help with, and then, yeah, I don’t know, maybe we can…
354 00:36:29.470 ⇒ 00:36:31.390 Luke Scorziell: Just try to check in somewhat regularly.
355 00:36:31.390 ⇒ 00:36:38.810 Gabriel Lam: Yeah, I appreciate it. Let me know, I’ll also reach out, maybe sometime next week, and we can catch up, see how things are going for you.
356 00:36:38.810 ⇒ 00:36:40.240 Luke Scorziell: Sweet, yeah, that’d be great.
357 00:36:40.240 ⇒ 00:36:52.759 Gabriel Lam: Awesome. I’ll find a time. I’m a little swamped today. It doesn’t show on my calendar, but it’s just, like, a lot of heads-down work, so… I’ll probably send out a meeting near the end of the day.
358 00:36:52.910 ⇒ 00:36:57.470 Gabriel Lam: For next week. Maybe sometime next week, if that works for you. Otherwise, we’ll figure it out.
359 00:36:57.780 ⇒ 00:36:58.879 Luke Scorziell: Yeah, that should be fun.
360 00:36:58.880 ⇒ 00:36:59.560 Gabriel Lam: Alright.
361 00:36:59.610 ⇒ 00:37:00.500 Luke Scorziell: Cool. Awesome.
362 00:37:00.500 ⇒ 00:37:01.020 Gabriel Lam: Sounds good.
363 00:37:01.390 ⇒ 00:37:02.489 Luke Scorziell: Talk to you soon, Gabe.
364 00:37:02.490 ⇒ 00:37:06.259 Gabriel Lam: Talk soon. I’ll see you tomorrow, I guess, when you’re presenting GoToMarket, so…
365 00:37:06.260 ⇒ 00:37:08.579 Luke Scorziell: Yeah, yeah, apparently.
366 00:37:08.580 ⇒ 00:37:10.990 Gabriel Lam: Alright, talk soon. Bye. Bye.