Meeting Title: CSOs <> Gabe - AI Platform Sync Date: 2026-01-09 Meeting participants: Gabriel Lam, Greg Stoutenburg, Demilade Agboola, Zoran Selinger, Josh Goodkin


WEBVTT

1 00:01:15.690 00:01:16.730 Gabriel Lam: Hello!

2 00:01:16.730 00:01:17.560 Greg Stoutenburg: Hey, Gabe.

3 00:01:18.040 00:01:19.100 Gabriel Lam: How are you doing?

4 00:01:19.560 00:01:20.630 Greg Stoutenburg: Doing alright, how are you?

5 00:01:21.480 00:01:27.730 Gabriel Lam: I’m doing well. Sorry, I just realized my screen’s being shared. Yeah, thanks for making time.

6 00:01:27.880 00:01:30.829 Gabriel Lam: Let’s see if… how many people end up trickling in, but…

7 00:01:30.830 00:01:31.150 Greg Stoutenburg: Yep.

8 00:01:31.150 00:01:33.410 Gabriel Lam: I really just wanted to…

9 00:01:33.580 00:01:42.219 Gabriel Lam: Do, like, a sort of office hours-style call to, first of all, get to know everyone, and also to figure out, like, what are the main sort of pain points, and, like.

10 00:01:42.420 00:01:48.469 Gabriel Lam: frustrations, or, like, workflows that you guys are working through, so that we can also realize my camera’s off.

11 00:01:48.780 00:01:49.860 Gabriel Lam: Sorry.

12 00:01:50.280 00:01:51.260 Gabriel Lam: Hello.

13 00:01:51.550 00:01:52.280 Greg Stoutenburg: Audio.

14 00:01:52.280 00:02:03.679 Gabriel Lam: I’m trying to figure out, like, you know, what it is that you guys need the most help with for the platform to, like, do your daily work. So I noticed that you were doing, like, SOWs,

15 00:02:03.990 00:02:07.520 Gabriel Lam: And that’s, like, one of the major use cases that we’ve…

16 00:02:07.980 00:02:16.040 Gabriel Lam: Both really, like, found a lot of productive productivity in, but also…

17 00:02:16.240 00:02:18.989 Gabriel Lam: we’ve made some mistakes, right? Just, like, trying to…

18 00:02:19.170 00:02:26.230 Gabriel Lam: flesh it out. So, Greg, if there’s anything else that, like, you feel like you’re working on, you know, in this moment, you’re like, hey, I’m working on SOPs, or I’m working on, like.

19 00:02:26.230 00:02:26.890 Greg Stoutenburg: And…

20 00:02:26.890 00:02:42.869 Gabriel Lam: discovery documentation, like, that’d be great to know, and my DMs are always, always open, for that. So if you’re like, hey, Gabe, like, I’m working on this document, is there something that exists? Or, like, do we have some sort of template? Like, that… that would be amazing for me.

21 00:02:43.120 00:02:43.980 Gabriel Lam: Yeah.

22 00:02:44.260 00:02:58.949 Greg Stoutenburg: Yeah, I mean, no, that’s really helpful, and right on time. So I’m, I was kind of banging my head against the keyboard on Wednesday, like, trying to get some, or was it yesterday? I don’t know, one of those days. Trying to get, a draft of a couple SOWs finished,

23 00:02:58.950 00:03:13.530 Greg Stoutenburg: And I think mostly for me, the problem came in because there was just a mismatch between what the BrainForge Playbooks repo said is available in all the repos, and then what was, like, actually there. So, like, so I had a whole list from,

24 00:03:13.530 00:03:25.279 Greg Stoutenburg: I think from you, Tom, or Robert, I can’t remember, maybe you, Tom, of other companies that have done a zero-to-one amplitude implementation, and that’s something that I’m trying to take on now. And I just, like, I honestly, I found…

25 00:03:25.310 00:03:48.139 Greg Stoutenburg: I found documentation of SOWs from zero of them. Like, I went a bunch of different places in Notion, looking at, you know, finding pages that say things like clients, and it’s like, oh, I’ll find client information there. Nope. Or, like, and then there’s, like, I find this other client list, and then, you know, maybe they churned, or maybe it was older or something, but still, you know, two different client lists, still not finding the docs there. I’m like, alright.

26 00:03:48.220 00:03:52.910 Greg Stoutenburg: Brain Forge Playbooks repo. Go here. It says there will be a repo for every client.

27 00:03:53.000 00:03:55.259 Greg Stoutenburg: None of the ones that I’ve been looking forward.

28 00:03:55.260 00:03:55.830 Gabriel Lam: Okay.

29 00:03:55.830 00:04:04.589 Greg Stoutenburg: there, and I’m like, alright, you know, it’s like… and so then… then it’s a challenging thing, right? Because, like, it’s like, now I feel like I have to… I have to pick either

30 00:04:04.770 00:04:23.369 Greg Stoutenburg: be thorough and do it the way that… do it a particular way, because, you know, we’re growing and, you know, kind of want to do things a certain way, that’s brand identity, that’s consistency, that’s quality, versus, like, I want to get this dang thing done before I log on, because, you know, we want to… Time is money when you’re… when you’re waiting on a renewal, so,

31 00:04:23.500 00:04:27.319 Greg Stoutenburg: I found some challenges there, and

32 00:04:27.740 00:04:33.160 Greg Stoutenburg: Yeah, I mean, I think that was the main thing, and so then it’s like, alright, some of what I found, actually.

33 00:04:33.160 00:04:49.559 Greg Stoutenburg: delivered this very lengthy SOW that I wouldn’t want to put in front of a client, so then I just went with, like, alright, here’s the thing that I put together based off of something Robert had put together, so I already know that this is, like, something we can put in front of someone. Yeah. And just ended up going in that direction. And I’m okay with going in that direction, but, like, again.

34 00:04:49.960 00:04:52.750 Greg Stoutenburg: If we all want to do things the same way, then… then…

35 00:04:53.210 00:04:55.000 Greg Stoutenburg: then… then I want to do it that way.

36 00:04:55.300 00:05:07.299 Gabriel Lam: Right. I think that’s great. I think, I mean, we are still trying to scale up and get people adopting it, and I think the great thing with AI is it’s sort of self-growth, but it does require, like, enough context, so…

37 00:05:07.570 00:05:07.950 Greg Stoutenburg: Yeah.

38 00:05:07.950 00:05:12.479 Gabriel Lam: It seems like it’ll just be the two of you. I think Surf might be able to make it, but anyways…

39 00:05:12.850 00:05:26.219 Gabriel Lam: Just wanted to quickly share, I don’t know if you guys had a chance to see Utam’s loom, but I wanted to quickly go over some of the things that he had been talking about. The way that we’ve been using it so far is with GitHub.

40 00:05:26.400 00:05:30.320 Gabriel Lam: And to have all our,

41 00:05:31.190 00:05:38.599 Gabriel Lam: are repos that are necessary in our workspace, so… Greg, I don’t know how familiar you are with,

42 00:05:38.880 00:05:47.699 Gabriel Lam: cursor and with GitHub and all that. Also, I can’t see anyone’s faces, so if you, like, just interrupt me, like, straight up, just interrupt me. Okay, yep.

43 00:05:47.700 00:05:59.280 Greg Stoutenburg: Yeah, I used VS Code with GitHub in my last call, and I set up Cursor on Wednesday, just following, like, step-by-step through the BrainForge Playbooks repo instructions.

44 00:05:59.280 00:06:05.450 Gabriel Lam: Okay, so yeah, I… if there’s things that are unclear, like, please…

45 00:06:05.680 00:06:08.180 Gabriel Lam: Just ping me or let me know, because…

46 00:06:09.270 00:06:25.050 Gabriel Lam: we’re trying to iron out any kinks we have, and I don’t want people to feel bad about doing that. But a big part of what the playbook is about is to basically be a place for agents to really use and read. And so an example that

47 00:06:25.890 00:06:35.439 Gabriel Lam: we have been using for, like, Element, which is another one of our clients, would be to, like, hey, we have all this documentation that exists in Element, why don’t we use that as context to write

48 00:06:35.960 00:06:51.890 Gabriel Lam: later documentation, whether it’s agendas, which shows up in the Loom, but also SOWs for new clients. So something that we’ve also just introduced is trying to connect Notion, and our platform,

49 00:06:52.790 00:06:58.360 Gabriel Lam: information, which includes, like, our Slack messages and our Zoom transcripts and all that, which exists on Supabase.

50 00:06:58.520 00:07:15.920 Gabriel Lam: And so, that’s been something I’ve been working on this week. I’m currently working on trying to integrate Google Docs, because we have a lot of documentation on Google Docs for other clients. But an example that we faced this week, for example, was a project for Hydra, which is another one of our clients

51 00:07:15.930 00:07:20.560 Gabriel Lam: where we needed to write an SOW, and this is where some of the problems that we faced with

52 00:07:20.600 00:07:29.380 Gabriel Lam: context and with formatting came up. But, just to quickly run you guys through, I could say, like, hey, I want you to, you know, write me,

53 00:07:30.240 00:07:35.909 Gabriel Lam: an updated SOW for Hedra, use, you know.

54 00:07:37.140 00:07:46.910 Gabriel Lam: I have a few, like, use the… SOW writing agent, As well as… I’ll be…

55 00:07:47.160 00:07:52.919 Gabriel Lam: Sorry, use it, to write and look at…

56 00:07:53.580 00:07:55.509 Gabriel Lam: We have some, you know.

57 00:07:57.430 00:08:01.799 Gabriel Lam: Let’s call it, a template, and…

58 00:08:02.060 00:08:07.139 Gabriel Lam: We have some… we’re trying to put in, some examples, so we already know

59 00:08:07.240 00:08:10.459 Gabriel Lam: There are certain other clients that are similar.

60 00:08:10.690 00:08:13.170 Gabriel Lam: We have some case studies from before, otherwise…

61 00:08:13.900 00:08:18.850 Gabriel Lam: We can just say, or other, you know, SOW examples for reference.

62 00:08:19.230 00:08:24.190 Gabriel Lam: we also put in a checklist. I’m being a little more verbose here, just…

63 00:08:24.320 00:08:27.310 Gabriel Lam: as a demo. But we…

64 00:08:27.600 00:08:30.029 Gabriel Lam: Are trying to get it to a point where…

65 00:08:30.910 00:08:32.310 Gabriel Lam: Sorry, Demi, you were saying something.

66 00:08:32.870 00:08:35.120 Demilade Agboola: I was just gonna say, I was just curious as to…

67 00:08:35.679 00:08:39.610 Demilade Agboola: Is this available for every single client, or is it for select clients?

68 00:08:39.870 00:08:47.450 Gabriel Lam: So, currently, this is for clients… this is easier for clients that are in…

69 00:08:48.230 00:08:55.630 Gabriel Lam: GitHub already, so Element is a good example, but in this case, Hydra is not, and so that’s why I wanted to use that, and this is where

70 00:08:55.850 00:08:58.779 Gabriel Lam: Connecting it to our platform and, like, our backend.

71 00:08:58.910 00:09:10.040 Gabriel Lam: has our Zoom context and our Slack context, and that’ll hopefully help us write some more stuff. Gotcha. As well as, you know, Zoom and Slack for context.

72 00:09:10.270 00:09:28.110 Gabriel Lam: And then the great thing about Cursor is, you know, you can specify Opus, so usually it’s on auto, but I like using Opus specifically for writing. And then we put everything on plan, just so you can, like, have a sort of review. And so, what has been really good is it’s able to

73 00:09:29.770 00:09:33.740 Gabriel Lam: both tell you, like, this is what I’m gonna do, and then you can…

74 00:09:34.070 00:09:38.499 Gabriel Lam: Go in and, like, adjust the plan as is, once that shows up.

75 00:09:41.050 00:09:46.589 Gabriel Lam: So in this case, I had a previous document that I tried this on, which is why it’s also asking me if there’s existing.

76 00:09:51.040 00:09:56.310 Greg Stoutenburg: That’s what I was working on yesterday. It says, previously edited yesterday, that’s, that’s a draft I created.

77 00:09:56.310 00:10:03.960 Gabriel Lam: Okay, so yeah, it’s like, is there a type of update, is there anything, or can I just… I can also… if none of this fits, it’s just like…

78 00:10:04.570 00:10:10.070 Gabriel Lam: I just want a full, you know, a fully new SOW.

79 00:10:13.160 00:10:20.690 Gabriel Lam: And so you don’t always have to follow, you know, one of the questions there. And one of the things that we’re really trying to do is to make sure that

80 00:10:21.260 00:10:32.000 Gabriel Lam: it’s as easy for people who are not technical. I’m not, you know, super technical as well, and so I see myself as a bit of a client.

81 00:10:32.330 00:10:34.640 Gabriel Lam: I was like, how do I make this as easy for me?

82 00:10:35.870 00:10:39.750 Gabriel Lam: Here you can see it’s…

83 00:10:40.050 00:10:44.810 Greg Stoutenburg: Sorry. Sorry. I didn’t want to interrupt, I actually just wanted to make a suggestion, if I could, because I…

84 00:10:44.810 00:10:45.579 Gabriel Lam: for it.

85 00:10:45.580 00:10:57.550 Greg Stoutenburg: I mean, I’m just… this is just based on what I learned in, as I was a PM at a company, and stood up, stood up some MPCs, MCP services.

86 00:10:57.550 00:11:09.969 Greg Stoutenburg: And one of the things that we did is made a chat agent that could construct certain, like, logic flows for coding purposes. But we just, like, immediately ran into the problem of.

87 00:11:10.220 00:11:23.630 Greg Stoutenburg: unreliable stuff coming out, because there weren’t enough resources for our very own AI to… to look at. And so, I feel like… I feel like this is what I ran into when trying to create these SOWs this week, is that because…

88 00:11:23.630 00:11:35.450 Greg Stoutenburg: so much of the client work that people have done is not in GitHub. We just can’t rely on it, right? There’s just nothing there, right? So then we ended up just, like, hunting around Google Drive, randomly typing in, you know, a name of the client, hoping to find stuff.

89 00:11:35.450 00:11:48.939 Greg Stoutenburg: And so, I guess, if I could even just suggest this, like, maybe we ask people next week or something, like, hey, take… take an hour and a half for any clients you’ve worked on in the last 6 months, and get… make a repo for them.

90 00:11:48.960 00:11:56.800 Greg Stoutenburg: And put this stuff in there. And I think if we actually just had that that we could lean on, this kind of stuff, you know, we could take off right away, doing this kind of stuff much quicker.

91 00:11:57.180 00:11:59.850 Gabriel Lam: Yeah, so that… that’s why the…

92 00:12:00.220 00:12:06.400 Gabriel Lam: this week’s main initiative for me has been the Supabase integration, because we already have all our calls

93 00:12:06.780 00:12:16.070 Gabriel Lam: like, Zoom calls, Zoom transcripts, summaries we generate from those calls, Slack messages in said, channels, like, client channels.

94 00:12:16.530 00:12:26.980 Gabriel Lam: as part of the context, I think for specifically more data-focused clients, and Demi, if you have more information there, that’d be amazing on just, like, what.

95 00:12:27.420 00:12:37.510 Gabriel Lam: like, where documentation is stored, and maybe to, like, as Greg, you said, have an exercise where everyone is going to take maybe an hour, half an hour, to just put everything in a place.

96 00:12:38.180 00:12:39.240 Demilade Agboola: Nope.

97 00:12:39.810 00:12:41.650 Gabriel Lam: So, for example, yes.

98 00:12:41.870 00:12:47.679 Demilade Agboola: I was just gonna add some context to that. Yes, I know that… I did know about us during all, like,

99 00:12:48.430 00:12:49.870 Demilade Agboola: Slack and Zoom.

100 00:12:50.530 00:12:56.580 Demilade Agboola: And, all our recordings are available for that, so that will definitely help. In terms of, like.

101 00:12:57.600 00:13:09.970 Demilade Agboola: people that we have, like, their data, I know we have repositories for some certain people away from things. I know that would also provide some context, especially of, like, what’s available right now.

102 00:13:10.090 00:13:15.190 Demilade Agboola: We do try to keep, and that’s part of, with this new EP role.

103 00:13:15.320 00:13:17.770 Demilade Agboola: Csos, EP, SL roles.

104 00:13:17.900 00:13:21.460 Demilade Agboola: So APs are responsible for, like, maintaining documentation.

105 00:13:21.660 00:13:37.340 Demilade Agboola: And part of the documentation is something… it’s a Google Sheet, where there are, like, different data sources, metrics being tracked, and the source of that metric from the tables. So, I think part of that would be also feeding this model.

106 00:13:37.420 00:13:45.679 Demilade Agboola: Or giving the context to Cursor, so Cursor notes, like, oh, these are the current available metrics, these are the current available models.

107 00:13:45.850 00:13:54.600 Demilade Agboola: And it can use that into, like, into adding more context. For things like dbt, we could either…

108 00:13:55.030 00:14:02.759 Demilade Agboola: Download, like, get the zip files for each repository, and just kind of put it in there as well, so he gets the context as well.

109 00:14:02.900 00:14:07.420 Demilade Agboola: And that could be maybe a monthly VIN, something, so…

110 00:14:07.420 00:14:07.930 Gabriel Lam: You bet.

111 00:14:08.150 00:14:13.150 Demilade Agboola: there are, like, there are some ways we can enrich the context of cursor, basically.

112 00:14:13.930 00:14:14.550 Gabriel Lam: Okay.

113 00:14:15.000 00:14:22.970 Gabriel Lam: That’s great to know. Also, I’m seeing other people. Hi, everyone. I… Don’t have…

114 00:14:23.250 00:14:30.489 Gabriel Lam: I don’t see this… I don’t see, like, people’s faces, so please interrupt. But as I was sharing earlier, for everyone who

115 00:14:30.780 00:14:37.000 Gabriel Lam: just joined, I just, you know, put in an example of where different things are in the playbook.

116 00:14:37.120 00:14:46.429 Gabriel Lam: We are also able to take Zoom and Slack for context, and then Cursor will be able to build out… this is what you call… it calls a plan. Basically, it’s a document that

117 00:14:46.640 00:14:50.909 Gabriel Lam: Says what it’s gonna do, has some information on what it thinks, and then…

118 00:14:51.250 00:14:57.950 Gabriel Lam: In this case, we are putting it to what we call this vault repo, which at the moment is just

119 00:14:58.720 00:15:10.359 Gabriel Lam: sort of… we call it, like, just a file structure. As Greg had mentioned previously, oftentimes we do end up bringing it to Google Docs as, like, the sort of final

120 00:15:10.710 00:15:19.619 Gabriel Lam: Check in the final, location where things are stored, just because of how things have been going, but the sort of processes that things have been going at the moment.

121 00:15:19.920 00:15:27.899 Gabriel Lam: And so, once… once this fully generates, hopefully we can see that. And so, I wanted to…

122 00:15:28.000 00:15:34.639 Gabriel Lam: Clarify that this is a way for us to really supercharge how quickly we can work and do things, but

123 00:15:34.850 00:15:43.310 Gabriel Lam: don’t take it at face value. Like, I think that’s the very dangerous part. And I think that’s the moment where, like, issues have often come up, just because

124 00:15:43.790 00:15:49.339 Gabriel Lam: You know, you work on something, you think it’s all good, and we don’t do the actual final review.

125 00:15:49.800 00:15:51.979 Gabriel Lam: And so I think that’s when…

126 00:15:52.180 00:16:08.309 Gabriel Lam: If you looked at Loom, where he just takes it into Google Docs and does a final check-through, I think that is an immensely important part of the process that is also human that we also need to consider. So, once this is out.

127 00:16:08.460 00:16:10.029 Gabriel Lam: We can take a look at it.

128 00:16:15.770 00:16:22.160 Demilade Agboola: It might be helpful to… have… potential, like.

129 00:16:22.760 00:16:28.409 Demilade Agboola: trouble… troublesome areas that have, you know, occurred in the past. Like, if, for instance, with

130 00:16:28.840 00:16:36.770 Demilade Agboola: it seems to hallucinate certain prices, or it seems to hallucinate certain things. It might just be helpful to…

131 00:16:37.030 00:16:38.769 Demilade Agboola: Have those things, like…

132 00:16:39.670 00:16:39.990 Gabriel Lam: Yet.

133 00:16:39.990 00:16:41.519 Demilade Agboola: As potential areas to…

134 00:16:41.520 00:16:43.010 Gabriel Lam: Your ortha, you get right.

135 00:16:44.360 00:16:58.920 Demilade Agboola: I guess some things… because for some things, some things are… I won’t say fine, but, like, you can say, oh, I’m gonna fix this, but some things are harder to say, I’m gonna fix this if you push it to the client. So I guess what I’m trying to say is, like, maybe we have, like,

136 00:16:58.990 00:17:07.259 Demilade Agboola: Based on our templates, we can have certain areas that we’re like, yo, ensure you go over this part carefully before sending to clients.

137 00:17:07.260 00:17:14.430 Gabriel Lam: Yes, that’s a great point. We started this with a checklist, basically, to run

138 00:17:14.829 00:17:20.679 Gabriel Lam: To sort of have it automatically run through this, and to check it off.

139 00:17:20.950 00:17:23.280 Gabriel Lam: and validate it. So…

140 00:17:24.390 00:17:32.169 Gabriel Lam: I totally agree, and I think there’s always a human component, and we can do as much as we can to flag it here, but also

141 00:17:32.600 00:17:35.269 Gabriel Lam: as you said, I think it’d be a good idea to maybe have, like.

142 00:17:35.960 00:17:39.800 Gabriel Lam: As part of it, for people to be like, okay, these are things you want to… you want to check.

143 00:17:40.700 00:17:43.960 Gabriel Lam: So once it finishes generating.

144 00:17:50.130 00:17:54.930 Gabriel Lam: So, like, we can see here even in the team, like, we have to make sure the team members are fine.

145 00:17:55.300 00:18:02.020 Gabriel Lam: So I’m going to… I did a version earlier, which is why I’m just going to, sorry.

146 00:18:03.610 00:18:05.050 Gabriel Lam: I’m just gonna keep all.

147 00:18:08.920 00:18:20.550 Gabriel Lam: And so, that review part usually won’t be a problem, just because you usually will be writing new things, but it’s been saved. You can look at, you know, the highlighted portions where it will be saved.

148 00:18:20.800 00:18:22.430 Gabriel Lam: And then I would…

149 00:18:22.830 00:18:29.220 Gabriel Lam: either copy and paste this into a document, and then upload it to Google Drive, so if we do that…

150 00:18:29.560 00:18:31.179 Gabriel Lam: You know.

151 00:18:36.400 00:18:37.200 Gabriel Lam: Sorry.

152 00:18:38.950 00:18:45.099 Gabriel Lam: The open preview will be just a quick way also for you to see what it looks like, because I know not everyone knows how to

153 00:18:45.370 00:18:48.269 Gabriel Lam: understand, markdown formats.

154 00:18:49.140 00:18:53.580 Gabriel Lam: I’m just trying to find the… file…

155 00:18:57.980 00:19:01.400 Gabriel Lam: So, if I, you know… Drive.

156 00:19:07.950 00:19:11.370 Gabriel Lam: Sorry, that’s my personal… don’t look at that.

157 00:19:11.590 00:19:17.599 Gabriel Lam: But I could say, you know, Bring it in.

158 00:19:18.700 00:19:19.720 Gabriel Lam: Oh, man.

159 00:19:31.540 00:19:38.190 Gabriel Lam: And… it’ll automatically open like this. You just open with Google Drive or Google Docs.

160 00:19:39.440 00:19:55.909 Gabriel Lam: And once this finishes formatting it, you will have the full documentation, where then I can go in and make final edits. So, that’s a sort of quick workflow for SOWs. I just wanted to let people know that this exists, and also

161 00:19:55.910 00:20:10.020 Gabriel Lam: again, for everyone who didn’t come here at the beginning, to know that I am a resource that you can come to. Like, so Saran, you’re like, hey, I don’t know how to do any of this, or I’m doing something, it’s not working, or you’re like, hey, you know.

162 00:20:10.170 00:20:16.369 Gabriel Lam: the… the SOWs are wrong, like, they’re saying the wrong thing. Then please just, like, ping me. I want… I want…

163 00:20:17.520 00:20:23.680 Gabriel Lam: To get this, you know, as polished as possible, so that when you guys are able to go through it, you don’t have to worry about it, so…

164 00:20:23.970 00:20:41.429 Gabriel Lam: That’s just a quick demo. Again, I’m gonna try to host more sessions, so people can also drop in, or if you feel like you want to have a follow-up session individually, please let me know. But otherwise, if there are any other questions, or thoughts, like, here’s the… the floor is open.

165 00:20:43.880 00:20:46.609 Zoran Selinger: All right, first,

166 00:20:47.100 00:20:54.090 Zoran Selinger: So, do we have an ongoing plan for the models? I don’t know, I’m not included in any of the…

167 00:20:54.260 00:21:00.899 Zoran Selinger: In any of the accounts, we use different models.

168 00:21:01.240 00:21:06.809 Zoran Selinger: Cause I don’t know if that’s, if we all use our personal, or do we have a company?

169 00:21:07.160 00:21:10.990 Gabriel Lam: So this is… this is with Brainforge, so…

170 00:21:11.470 00:21:18.480 Gabriel Lam: Specifically, why… why Cursor is the one being used at the moment is because you have the option to pick different ones.

171 00:21:18.710 00:21:25.089 Gabriel Lam: So you… the default version is just auto, and it just picks for you, but I like using Opus for writing.

172 00:21:25.490 00:21:28.360 Gabriel Lam: So… this is maybe…

173 00:21:28.750 00:21:32.939 Gabriel Lam: you can reach out to Rico and Utam and just say, like, hey, I want to use Cursor.

174 00:21:33.240 00:21:38.589 Gabriel Lam: Brainforge should have more than enough licenses, and then you can start using it that way.

175 00:21:38.920 00:21:39.640 Gabriel Lam: Yeah.

176 00:21:39.640 00:21:40.300 Zoran Selinger: Okay.

177 00:21:41.100 00:21:44.879 Zoran Selinger: Yeah. Okay, and the second question is.

178 00:21:46.460 00:22:00.589 Zoran Selinger: Can we do this in Z, for example? Because I have a… my computer is a little bit older, and Z is simply faster for me. It’s pretty smooth, but it’s not the… as…

179 00:22:00.810 00:22:08.529 Zoran Selinger: feature-rich scores are, obviously. I don’t know if those lack of features are gonna be the problem for me.

180 00:22:08.590 00:22:26.329 Zoran Selinger: So right now, I’m… I have a private, like, Gemini license that I… that I use for basically everything. But I’d like to try other ones as well. I just… I’m just not sure if I should go through the trouble of…

181 00:22:26.760 00:22:31.589 Zoran Selinger: setting up, of trying to figure this out on Zed.

182 00:22:31.750 00:22:47.019 Zoran Selinger: It’s very… I mean, the user experience is similar, but it’s… it lacks, definitely a few features, or I should just, deal with, kind of a little… a little bit of, slower performance and just use cursor.

183 00:22:47.850 00:22:52.220 Gabriel Lam: Yeah, I have not looked inside. I think this is…

184 00:22:52.340 00:22:55.760 Gabriel Lam: I think the model’s in cursor. I don’t know if Z connects to Opus.

185 00:22:55.910 00:22:58.359 Gabriel Lam: 4.5, I know it connects to 3.

186 00:22:58.620 00:23:06.749 Gabriel Lam: So I think that’s a good question. I think there’s two parts, right? I think if you want to try Cursor, just because the workflow was built that way, it might.

187 00:23:06.750 00:23:15.610 Zoran Selinger: Yeah, I’ve used cursor before, so generally, I’m, I’m familiar with how it works.

188 00:23:15.610 00:23:15.960 Gabriel Lam: Yeah.

189 00:23:15.960 00:23:27.710 Zoran Selinger: And I recently tried that and really liked the speed, but I’m not opposed to switching back if some of the features that are… For example, the plan.

190 00:23:27.970 00:23:31.289 Zoran Selinger: Z doesn’t have it, it just has the S.

191 00:23:31.290 00:23:31.700 Gabriel Lam: execute.

192 00:23:31.700 00:23:38.209 Zoran Selinger: A little bit of rules and all that, maybe we can get there, but it’s not… it’s not as convenient, obviously.

193 00:23:38.540 00:23:43.889 Gabriel Lam: Okay, yeah, I think the other way to go about it, and I think this

194 00:23:44.880 00:23:54.030 Gabriel Lam: I have to say is not the priority, because we want to get the cursor version, well, would be to say, like, if you want to set it up on your own to… this is a sort of…

195 00:23:55.270 00:24:04.610 Gabriel Lam: up, like, the operational mindset to think about it, if you want to set something up by yourself, and, like, how we think about connecting it to the other FTPs, or connecting it to the other databases.

196 00:24:04.860 00:24:13.149 Gabriel Lam: But for now, no. But yeah, happy to, like, feel free to reach out, and I’ll reach out to you more to learn about, like, Zed, and we can talk about that later as well.

197 00:24:13.750 00:24:15.210 Zoran Selinger: Okay, thanks, thanks.

198 00:24:16.330 00:24:17.359 Gabriel Lam: Anyone else?

199 00:24:21.190 00:24:28.500 Greg Stoutenburg: No, I think for me, it’s just making sure that the resources are in the repos, and okay. Me, myself, getting used to using Cursor this way.

200 00:24:28.870 00:24:32.779 Gabriel Lam: Yeah. Yeah. I mean, it’s a learning curve, I’m sure, and so…

201 00:24:33.250 00:24:44.609 Gabriel Lam: we are also trying to get to a point where, like, we’ve reached that critical mass, where there’s so much context, or enough context that exists, where you don’t have to then scramble, right? So we’re sort of just

202 00:24:44.810 00:24:47.759 Gabriel Lam: We’re not there yet, but we’re trying to move towards that.

203 00:24:47.760 00:25:06.500 Greg Stoutenburg: Yeah, and I think I’ve also realized through some of these conversations, there must be a whole bunch of stuff in Google Drive with folders that I could see, but I just… my Google Drive is basically empty, unless someone has shared a specific item with me. Are there, like, teams or something else I should be joining or asking for access to?

204 00:25:06.960 00:25:12.040 Gabriel Lam: Mine is too, I’m with you on that. I’ll have to get back to you on that, I think…

205 00:25:12.040 00:25:13.080 Greg Stoutenburg: Right, yeah.

206 00:25:13.260 00:25:14.500 Gabriel Lam: I think…

207 00:25:15.030 00:25:25.019 Gabriel Lam: I’m reaching out to Rico later today, so I’m hoping to get full access. I think also because, you know, depending on your project team, you might not be in every one, but I’ll get back to you on that.

208 00:25:25.240 00:25:26.199 Greg Stoutenburg: Okay, cool, thanks.

209 00:25:29.940 00:25:31.669 Gabriel Lam: Demi, Josh, anything?

210 00:25:33.290 00:25:38.829 Demilade Agboola: Nothing really for me. I was just gonna say, like, yeah, Rico would have an idea of where some of these things are.

211 00:25:39.000 00:25:45.489 Demilade Agboola: And for some projects, some things are more fleshed out than others, in terms of, like, documentation in Google Drive.

212 00:25:45.840 00:25:51.279 Demilade Agboola: And also, would it be possible, because we’re creating, like, Gantt chats now and stuff.

213 00:25:51.520 00:25:57.550 Demilade Agboola: Would it be possible for us to also, like, find ways to put that in here as well?

214 00:26:00.050 00:26:01.290 Gabriel Lam: Sorry, could you repeat that?

215 00:26:02.170 00:26:05.849 Demilade Agboola: So we’re creating, like, what part do you want me to repeat? The first part or the second part?

216 00:26:07.230 00:26:08.110 Gabriel Lam: The second part.

217 00:26:08.640 00:26:21.899 Demilade Agboola: Okay, so we’re creating a lot of Gantt chats nowadays, yeah. Is there any way we can also, like… but it’s not in Google Drive or anything, is there any way… I don’t necessarily know where they’re stored right now, I know it’s… there’s a… there’s… we’re using a website for it.

218 00:26:22.090 00:26:26.909 Demilade Agboola: But is there a way we can integrate it into this as well, just, like, going forward?

219 00:26:30.900 00:26:43.970 Gabriel Lam: I think there is. I think my initial… I’m also running out of battery, so I apologize if I just cut out. My initial thinking is there’s a way to convert GANTs into mermaid syntax.

220 00:26:44.370 00:26:48.650 Gabriel Lam: which can then be turned into a markdown.

221 00:26:49.420 00:26:54.260 Gabriel Lam: I think cursor… Kind of struggles with, like, graphics.

222 00:26:54.380 00:26:59.989 Gabriel Lam: At the moment, so that’s a good question. I think I’ll have to spike that and look into that, but…

223 00:27:00.510 00:27:02.300 Gabriel Lam: I’ll get back to you on that as well.

224 00:27:04.650 00:27:05.630 Demilade Agboola: Sounds good.

225 00:27:09.000 00:27:18.010 Gabriel Lam: Awesome. Well, again, my DMs are always open, so please reach out, and any and all feedback truly is appreciated.

226 00:27:19.410 00:27:21.520 Gabriel Lam: Awesome, thanks guys, appreciate it.

227 00:27:21.760 00:27:22.930 Greg Stoutenburg: Thanks, Gabe. See ya.

228 00:27:23.270 00:27:23.990 Gabriel Lam: See ya.