Meeting Title: Internal AI <> Ops Sync Date: 2026-01-23 Meeting participants: Gabriel Lam, Rico Rejoso, Sheshu Chandrasekar, Elizah Joy
WEBVTT
1 00:00:12.070 ⇒ 00:00:12.969 Rico Rejoso: Hey, Gabe.
2 00:00:35.180 ⇒ 00:00:39.759 Gabriel Lam: Hello! Sorry, I didn’t realize my, earphones weren’t connected.
3 00:00:40.310 ⇒ 00:00:40.670 Rico Rejoso: Yes.
4 00:00:40.670 ⇒ 00:00:43.470 Sheshu Chandrasekar: It’s good to… good to finally meet you.
5 00:00:44.040 ⇒ 00:00:46.460 Gabriel Lam: To meet you finally! Glad you’re on board!
6 00:00:46.460 ⇒ 00:00:48.540 Sheshu Chandrasekar: Yeah, finally, officially.
7 00:00:48.540 ⇒ 00:00:54.000 Gabriel Lam: Yeah, and I couldn’t make it to the retro earlier, so I hope it went well.
8 00:00:55.490 ⇒ 00:00:58.840 Elizah Joy: Sorry, I think I joined the wrong Zoom meeting earlier.
9 00:00:59.690 ⇒ 00:01:02.930 Gabriel Lam: No worries. Hello,
10 00:01:03.180 ⇒ 00:01:09.740 Gabriel Lam: So, to brief… I mean, welcome, Cheshu, it’s great to have you. To briefly, I guess.
11 00:01:11.190 ⇒ 00:01:24.950 Gabriel Lam: like, orient or intro. One of the things that Rico and I have been talking about with UTAM was the idea of integrating ops with the internal AI platform that we’ve been using.
12 00:01:25.210 ⇒ 00:01:28.010 Gabriel Lam: Sheshu, just to get you up to speed.
13 00:01:28.250 ⇒ 00:01:34.340 Gabriel Lam: One of the things that… I’ve been working on on the AI side has been trying to get
14 00:01:36.280 ⇒ 00:01:54.490 Gabriel Lam: like, cursor or, like, any AI tools to be used as easily as possible, and so, you know, the goal is for, like, Rico and Eliza here to also just, like, if they want to write something, if they need to do something, to be able to use whatever tools we have, and the platform is to really support that. And so whether it’s, like.
15 00:01:54.600 ⇒ 00:01:57.100 Gabriel Lam: Having documents, or prompts, or…
16 00:01:57.200 ⇒ 00:02:04.399 Gabriel Lam: just, you know, having a library where people are like, hey, if I want to write this document, this is how I can get
17 00:02:04.820 ⇒ 00:02:19.629 Gabriel Lam: these, like, cursor or some other AI tool to write it. And that’s been working really successfully on some end, specifically more on the engineering side, because, first of all, they’re more technical, but also, I think a lot of the documentation already exists there.
18 00:02:20.200 ⇒ 00:02:23.360 Gabriel Lam: And something that we’ve been trying to discuss is
19 00:02:23.990 ⇒ 00:02:30.479 Gabriel Lam: now that we have ops doing this whole Notion reorg and all that going on, are there ways that we can write
20 00:02:30.750 ⇒ 00:02:36.510 Gabriel Lam: documentation, or, like, have ops be a part of this initiative.
21 00:02:36.840 ⇒ 00:02:39.840 Gabriel Lam: And so, we had been discussing with…
22 00:02:40.050 ⇒ 00:02:44.430 Gabriel Lam: Eliza and Rico previously about this big notion shift.
23 00:02:44.650 ⇒ 00:02:53.260 Gabriel Lam: And, like, sort of restructuring and reorganizing it into, like, like, hubs for…
24 00:02:53.410 ⇒ 00:02:57.370 Gabriel Lam: Engineering, or ops, or sales, and then more…
25 00:02:57.890 ⇒ 00:03:02.210 Gabriel Lam: discreetly under that, but I wanted to just make a sort of weekly…
26 00:03:02.810 ⇒ 00:03:18.089 Gabriel Lam: sort of, like, sync or meeting to really talk about what’s going on with ops, how can I help, you know, what is documentation that you guys are writing that you’re finding difficulty with, or what are things that, like, you would like to see in the platform that could be helpful for whatever you’re doing?
27 00:03:18.300 ⇒ 00:03:30.789 Gabriel Lam: So this is sort of, like, what I expect of this call. It’s not really formal or structured. It’s sort of like a mini stand-up, but just between AI platform and ops, if that’s helpful to know.
28 00:03:31.050 ⇒ 00:03:37.040 Sheshu Chandrasekar: No, that makes a lot of sense, and I’m so glad that we have some sort of sync here, so we can just kind of, like.
29 00:03:37.310 ⇒ 00:03:49.459 Sheshu Chandrasekar: kind of give you some insight into, like, what I’ve been seeing, like, from… because now that we have this new model, right, like, I’ve noticed some things that we can make the CSOs or the EPs or the SLs, like, life a little easier, so…
30 00:03:49.570 ⇒ 00:04:00.000 Sheshu Chandrasekar: Happy to, like, really have this meeting to kind of, like, walk through and, yeah, like you said, make it informal as possible, so it doesn’t have to be, like, a slide deck or anything, and we can just talk through things.
31 00:04:01.290 ⇒ 00:04:09.570 Gabriel Lam: Yeah, that’s, like, you got it right on the dot. I think that’s pretty much what I hope the meeting to be. I guess just to start.
32 00:04:09.850 ⇒ 00:04:16.199 Gabriel Lam: to let… Everyone here knows something that the platform is working on is
33 00:04:16.769 ⇒ 00:04:22.909 Gabriel Lam: If you go onto the web, I’ll just briefly share a screen. I think everyone’s seen it already, but I’ll just…
34 00:04:23.200 ⇒ 00:04:26.860 Gabriel Lam: Be a little, repetitive.
35 00:04:28.520 ⇒ 00:04:32.369 Gabriel Lam: Let me share screen.
36 00:04:37.640 ⇒ 00:04:40.580 Gabriel Lam: So, everyone who’s seen the platform knows exactly
37 00:04:40.720 ⇒ 00:04:47.159 Gabriel Lam: You know, if you look into a meeting, you’ll have… Like.
38 00:04:47.450 ⇒ 00:04:53.050 Gabriel Lam: You’ll have a pretty detailed summary. We’ve been working on the prompt for the summary.
39 00:04:53.340 ⇒ 00:05:03.660 Gabriel Lam: We have a transcript that goes into every… that’s timestamped, and we’ve been doing linear tickets, which is how we organize, you know, and…
40 00:05:03.810 ⇒ 00:05:14.269 Gabriel Lam: to, like, distribute tasks. Something that we’ve noticed with this flow is that, first of all, not a lot of people are using it, because it is a little…
41 00:05:14.680 ⇒ 00:05:20.620 Gabriel Lam: bit of a hassle. We noticed that, like, people aren’t usually checking the platform when meetings are ingested.
42 00:05:20.870 ⇒ 00:05:24.310 Gabriel Lam: And so one of the things that UTAN has been working on.
43 00:05:24.430 ⇒ 00:05:28.210 Gabriel Lam: has been a series of Slack
44 00:05:28.540 ⇒ 00:05:32.210 Gabriel Lam: bots, or, like, Slack assistants. And so, for example, if I look…
45 00:05:32.560 ⇒ 00:05:36.450 Gabriel Lam: Here, something that we’ve been working on is, like, when…
46 00:05:37.510 ⇒ 00:05:42.730 Gabriel Lam: A new meeting is put into the platform, we’ll get, like, a little bit of a…
47 00:05:43.050 ⇒ 00:05:53.350 Gabriel Lam: summary will say, like, you know, these are some of the details about what’s coming in. The goal, eventually, and this is gonna be, hopefully, next week or in a few weeks, that
48 00:05:53.580 ⇒ 00:05:58.149 Gabriel Lam: The linear tickets will be a part of that flow, and so we’re hoping that
49 00:05:58.400 ⇒ 00:06:01.979 Gabriel Lam: You know, either where there’s a Brainforge assistant.
50 00:06:02.690 ⇒ 00:06:04.689 Gabriel Lam: Either you’ll get it in…
51 00:06:05.090 ⇒ 00:06:16.329 Gabriel Lam: here, well, like, it’ll ask you, like, hey, these are all the tickets that are for you to review, or these are all the tickets that are, like, assigned to you from a CSO or EP, or, like, basically
52 00:06:16.750 ⇒ 00:06:22.069 Gabriel Lam: someone needs to review what the AI pumps out. I think we all know that you can never trust AI’s first.
53 00:06:22.650 ⇒ 00:06:23.340 Sheshu Chandrasekar: Yeah.
54 00:06:23.340 ⇒ 00:06:27.579 Gabriel Lam: Yeah, like, the first thing it gives you, and so that’s sort of what we’re hoping to do.
55 00:06:28.150 ⇒ 00:06:33.750 Gabriel Lam: On that note, I’m also curious with what cursor
56 00:06:34.120 ⇒ 00:06:36.820 Gabriel Lam: has been doing with Notion, and so…
57 00:06:37.430 ⇒ 00:06:42.030 Gabriel Lam: One thing that Cursor is able to do, is…
58 00:06:42.400 ⇒ 00:06:48.580 Gabriel Lam: To go in and say… Let me just quickly… Check something out.
59 00:07:03.630 ⇒ 00:07:12.690 Gabriel Lam: So one of the things that I’m trying to figure out is, like, the Notion reorg, because I think we’re trying to figure out, hey, if we want to
60 00:07:13.190 ⇒ 00:07:18.900 Gabriel Lam: Like, take things from…
61 00:07:20.170 ⇒ 00:07:28.060 Gabriel Lam: if I want to take things from Notion, then, like, how can I ingest it into what other flows I’m working on? So an example here, it’s like.
62 00:07:28.240 ⇒ 00:07:35.349 Gabriel Lam: I’m trying to figure out, you know, I can say, like, I want to go into Notion, and I want to know, like, what all the latest,
63 00:07:35.980 ⇒ 00:07:42.599 Gabriel Lam: documents that were updated today. And so, right now, it’s able to give me everything, and then the goal is for me to say, like, hey.
64 00:07:42.730 ⇒ 00:07:47.970 Gabriel Lam: am I able to, like, can you, you know, write me a new SOP.
65 00:07:49.090 ⇒ 00:07:50.860 Gabriel Lam: for onboarding.
66 00:07:51.650 ⇒ 00:07:53.980 Gabriel Lam: A new ops person.
67 00:07:55.420 ⇒ 00:07:58.479 Gabriel Lam: by looking at motion.
68 00:07:58.940 ⇒ 00:08:05.629 Gabriel Lam: And eventually, the goal is You know, for me, or for you, or for anyone to be like, hey.
69 00:08:06.080 ⇒ 00:08:16.119 Gabriel Lam: I can use these tools to help me write a lot of the documentation that we have to do to get everyone up to speed. One of the problems we’re facing is Notion is really hard to search.
70 00:08:16.350 ⇒ 00:08:16.760 Sheshu Chandrasekar: Yeah.
71 00:08:16.760 ⇒ 00:08:20.749 Gabriel Lam: That’s the reason why I wanted to sync with you guys about that.
72 00:08:20.890 ⇒ 00:08:24.900 Gabriel Lam: It’s like, hey, We can help a lot of these tools.
73 00:08:25.250 ⇒ 00:08:26.500 Gabriel Lam: go forward.
74 00:08:27.420 ⇒ 00:08:34.109 Gabriel Lam: By, like, giving it… pointers, or like, or signposts, right? Like.
75 00:08:34.900 ⇒ 00:08:43.699 Gabriel Lam: You can say, like, oh, you can look into this club for these things, you can look into the ops hub for ops documentation, you can look into the sales hub for SOWs, things like that.
76 00:08:43.960 ⇒ 00:08:44.630 Sheshu Chandrasekar: Yeah.
77 00:08:45.330 ⇒ 00:08:58.929 Sheshu Chandrasekar: I’m super glad you bring that up, because I think that’s kind of the vision that we’re trying to head towards. It’s like, the reason why we’re primarily doing the revamp of the homepage is, one, some of the documents in there are kind of outdated.
78 00:08:59.040 ⇒ 00:09:09.689 Sheshu Chandrasekar: So, trying to do a fresh clean there, in a way, so that everything that’s in the Notion, it’s, relevant.
79 00:09:10.050 ⇒ 00:09:19.059 Sheshu Chandrasekar: it’s easily accessible, but more importantly, it’s, it becomes kind of, like, the hub of… for, like, documentation. And I think…
80 00:09:19.670 ⇒ 00:09:24.490 Sheshu Chandrasekar: Yeah, if there’s a… there’s a way that we can integrate with the platform, in that sense, like…
81 00:09:25.060 ⇒ 00:09:42.149 Sheshu Chandrasekar: like Uten was showing the Slack bots, right? And if someone wants, like, a certain SOP template, they can just ask the Slack chatbot, saying, hey, can you point me to a direction where I can find this SOP template? Or what’s, like, how do I get, like, a software added to my…
82 00:09:42.330 ⇒ 00:09:55.910 Sheshu Chandrasekar: to my, like, tools… toolkit, in a way, right? So, I think that’s kind of, like, the idea with the Notion. It’s kind of like, we’re revamping it, but we also want to work closely with you to see, like, how we can best, like, architect this a little bit, so… Yeah.
83 00:09:56.000 ⇒ 00:10:03.989 Sheshu Chandrasekar: If we want to build Slackbots and integrate this into, the platform, it makes our job a little easier, as well.
84 00:10:05.030 ⇒ 00:10:09.450 Gabriel Lam: Right. Which is amazing. Like, I think even if we see here, like, it’s sort of…
85 00:10:09.450 ⇒ 00:10:13.119 Sheshu Chandrasekar: this is sort of going everywhere, because it doesn’t know what to write.
86 00:10:13.200 ⇒ 00:10:15.340 Gabriel Lam: This is writing a bunch of nonsense.
87 00:10:16.860 ⇒ 00:10:23.429 Gabriel Lam: And so, that’s really helpful. I think a couple questions I have for you guys, first of all is.
88 00:10:24.260 ⇒ 00:10:27.690 Gabriel Lam: Do you feel like the Notion reorg, like.
89 00:10:28.070 ⇒ 00:10:31.609 Gabriel Lam: I guess, is there… is there a timeline that you’re sort of expecting it?
90 00:10:32.050 ⇒ 00:10:45.079 Gabriel Lam: I guess my… yeah, that’s my first question, is like, is there, you know, a timeline that you guys are working towards? I remember Rico and Eliza, you both shared a sort of, like, Gantt chart for saying it will probably be a month time for that to be done.
91 00:10:45.250 ⇒ 00:10:50.360 Gabriel Lam: Have you, like, encountered any problems so far? And then lastly.
92 00:10:50.940 ⇒ 00:10:57.000 Gabriel Lam: when you’re talking about, like, hey, we want to be able to use Slack, or, like, what has been most helpful for you guys.
93 00:10:57.350 ⇒ 00:11:00.609 Gabriel Lam: That you want to see, I guess is the three questions.
94 00:11:02.180 ⇒ 00:11:04.650 Gabriel Lam: And this is for everyone.
95 00:11:04.650 ⇒ 00:11:18.169 Sheshu Chandrasekar: Yeah, Eliza Rico, if you want to share a little bit, I think… I’m gonna share what I was envisioning, and Eliza and Rico, please correct me if I’m wrong here, or, like, if whatever I’m saying is a bunch of nonsense, so just let me know.
96 00:11:18.170 ⇒ 00:11:24.809 Sheshu Chandrasekar: My goal really is to… we finished the audit now, we’re just gonna go through the audit of, like, each homepage, figure out, like.
97 00:11:24.810 ⇒ 00:11:27.170 Sheshu Chandrasekar: What’s feasible for us to build in a week?
98 00:11:27.440 ⇒ 00:11:37.600 Sheshu Chandrasekar: Or so, and kind of move some artifacts from the existing homepage into the… into this new one, right?
99 00:11:38.040 ⇒ 00:11:39.969 Sheshu Chandrasekar: Goal, really, I would love.
100 00:11:40.310 ⇒ 00:11:41.929 Sheshu Chandrasekar: And this is a very…
101 00:11:42.520 ⇒ 00:11:59.769 Sheshu Chandrasekar: I wouldn’t say unrealistic, but it’s an ambitious goal, is to have a V1 of the new homepage in by next Wednesday. So I can present to you, Utam, Robert, and Clarence, and kind of get feedback, and then Friday could be, like, a very soft launch of the new homepage
102 00:11:59.770 ⇒ 00:12:08.310 Sheshu Chandrasekar: And then the week after that would be building some sort of, like, Slack bot that integrates all the… this new homepage,
103 00:12:08.320 ⇒ 00:12:17.270 Sheshu Chandrasekar: So if someone… like I said, if someone wants to find a document or get more information, then Notion becomes a source of truth, in a way, as well.
104 00:12:19.200 ⇒ 00:12:19.850 Gabriel Lam: Okay.
105 00:12:21.560 ⇒ 00:12:26.439 Elizah Joy: Yeah, I think on my end, yeah, I’m with Sheshu on this one.
106 00:12:26.590 ⇒ 00:12:43.380 Elizah Joy: we’ve actually created, like, the initial view of the homepage that we wanna, like, we wanna aim for, and then with, what we have been doing, and most especially Xiaoshua, is, he’s been auditing, like, the pages.
107 00:12:43.840 ⇒ 00:12:56.629 Elizah Joy: But, at least, we have the vision of how we want Notion to be, and of course, we’re also taking into account the usability of it for all our team members.
108 00:12:57.060 ⇒ 00:12:59.860 Sheshu Chandrasekar: Yeah, Eliza, and if you want to share,
109 00:13:00.010 ⇒ 00:13:06.589 Sheshu Chandrasekar: you created, like, the new homepage structure. I think it looks great. Maybe we can give… give, like, a little sneak peek.
110 00:13:09.730 ⇒ 00:13:11.009 Gabriel Lam: That would be awesome.
111 00:13:12.180 ⇒ 00:13:12.580 Elizah Joy: Let’s good.
112 00:13:17.900 ⇒ 00:13:24.079 Gabriel Lam: No worries, Rico. I’m happy to… to recap with you after, or…
113 00:13:24.080 ⇒ 00:13:27.260 Sheshu Chandrasekar: At the end of the call, we can go through, like, a quick 5-minute.
114 00:13:28.020 ⇒ 00:13:31.700 Gabriel Lam: go over.
115 00:13:32.280 ⇒ 00:13:32.880 Rico Rejoso: Okay.
116 00:13:33.030 ⇒ 00:13:35.310 Elizah Joy: Okay, can you see my screen? Yeah.
117 00:13:35.930 ⇒ 00:13:42.459 Elizah Joy: What we’re hoping is this… initially, this has been created inside the operations, because we just wanted to
118 00:13:43.980 ⇒ 00:13:47.120 Elizah Joy: But, this would be created, like, a…
119 00:13:47.340 ⇒ 00:13:51.629 Elizah Joy: A team space, just like what we have for the homepage.
120 00:13:51.630 ⇒ 00:13:53.120 Gabriel Lam: And then…
121 00:13:53.120 ⇒ 00:14:12.449 Elizah Joy: we initially… like, for the databases, like, what we’ve discussed before is that it’s gonna have its own centralized hub, and then all of… in the database, it’ll be embedded inside these, pages or hubs that we have, individual hubs that we have for different, team…
122 00:14:12.890 ⇒ 00:14:14.980 Elizah Joy: Members and,
123 00:14:15.900 ⇒ 00:14:28.499 Elizah Joy: functions that we have. We want to change this, from company internal to ex… And external to, like, the different departments that we have for marketing, the operations, and…
124 00:14:28.820 ⇒ 00:14:32.880 Elizah Joy: Thanks, that… I think that’s where we are currently at with the
125 00:14:32.930 ⇒ 00:14:49.689 Elizah Joy: view of how we wanted it to look like. But yeah, we, as Hesha has mentioned earlier, we have been auditing the pages, and we’ve got a lot of, like, things that we want to improve on, on the, restructuring of Notion. But yeah, I think
126 00:14:49.790 ⇒ 00:14:55.529 Elizah Joy: I think it’s doable. Wednesday, like, a rough…
127 00:14:55.740 ⇒ 00:15:08.299 Elizah Joy: draft, so that we can also present it, because we don’t want to be, like, building it, like, all throughout, right, and finding out that it’s not the best use case for the team members, right? So, yeah, I think that’s where…
128 00:15:08.530 ⇒ 00:15:10.019 Elizah Joy: We’re currently adding that.
129 00:15:12.320 ⇒ 00:15:23.199 Gabriel Lam: Awesome. This is so cool. A question I have, just briefly, is, like, I see, you know, your client… client success owner, service leader, and engagement planner,
130 00:15:23.360 ⇒ 00:15:31.590 Gabriel Lam: I guess, is there… How are we… categorizing…
131 00:15:31.790 ⇒ 00:15:40.209 Gabriel Lam: Sorry, let me… let me step back. I’m… my assumption is, you know, everyone will be able to look into every page, really. Like, there’s not going to be any, sort of.
132 00:15:41.790 ⇒ 00:15:42.770 Sheshu Chandrasekar: buildings.
133 00:15:42.770 ⇒ 00:15:50.410 Gabriel Lam: access, or, like, role-based access issue. I guess my question is, like, if I wanted to send something out to just
134 00:15:51.470 ⇒ 00:15:56.439 Gabriel Lam: the… all the CSOs, or if I wanted something… something that’s just the engagement planners, like.
135 00:15:57.720 ⇒ 00:16:02.660 Gabriel Lam: Is there a sort of, like, profile… master profile list, or, like, how are…
136 00:16:02.950 ⇒ 00:16:15.179 Gabriel Lam: we thinking of organizing… is this sort of, like, self-organized, or like, hey, I need to look for some AI documentation, I’ll go into the AI internal, or if I need to look at some ops documentation, I’ll look into the ops.
137 00:16:15.630 ⇒ 00:16:19.750 Gabriel Lam: Sorry, does that make sense?
138 00:16:19.750 ⇒ 00:16:23.269 Sheshu Chandrasekar: No, that makes sense, and honestly, I was thinking about that, I just didn’t have…
139 00:16:23.860 ⇒ 00:16:25.490 Sheshu Chandrasekar: I haven’t done too much research, so…
140 00:16:25.490 ⇒ 00:16:26.120 Gabriel Lam: Okay, no worries.
141 00:16:26.120 ⇒ 00:16:27.670 Sheshu Chandrasekar: So, just to kind of, like…
142 00:16:28.370 ⇒ 00:16:48.030 Sheshu Chandrasekar: confirm your assumption, or the question is, you’re asking, like, is there, like, a roles-based permission? So, for example, if, let’s just say Pranav, who’s a CSO, he wants to send a documentation to only his, other CSOs, or people on his client team, is there a way to kind of share that to a certain group? Is that… is that the question?
143 00:16:48.030 ⇒ 00:16:57.860 Gabriel Lam: sort of. It’s like, if Pranav, like, just wanted to know, like, hey, I want to confirm with everyone, all the other CSOs, like, this thing, or…
144 00:16:58.130 ⇒ 00:17:14.150 Gabriel Lam: if I, for example, wanted to set up a meeting with all the CSOs, then, like, where would I go to find that information? I know right now there is this sort of, like, Google Sheets, but I wanted to know if that was part of how you guys were thinking, or whether you saw this as, like, a.
145 00:17:15.859 ⇒ 00:17:17.089 Sheshu Chandrasekar: Yeah, I mean… if I wanted.
146 00:17:17.099 ⇒ 00:17:19.859 Gabriel Lam: something from marketing, I just go into the marketing.
147 00:17:20.500 ⇒ 00:17:24.049 Sheshu Chandrasekar: Yeah, let me… so I guess one way…
148 00:17:25.210 ⇒ 00:17:43.900 Sheshu Chandrasekar: we can solve that problem is through the directory, update the directory of people that are CSOs and, like, a master directory. So, if Pranav wants to find another CSO or EP, he can go into the Notion and do that, but, yeah, that’s, like, one of the other concerns I had, right? Like.
149 00:17:44.150 ⇒ 00:17:59.570 Sheshu Chandrasekar: for example, as an EP, in order to organize every artifact for their client, we need to be able to rapidly deploy, like, a Notion… like, a Notion repository for the client, and give them the starter materials to…
150 00:17:59.740 ⇒ 00:18:13.470 Sheshu Chandrasekar: get everything organized and, organize the team, documents in one place. So, I’ve been thinking through that a little bit more, and I think throughout the next couple weeks, we’ll be focused… we’ll be hyper-focusing on
151 00:18:13.500 ⇒ 00:18:24.750 Sheshu Chandrasekar: like, the role-based permissions per role, the starter materials, and I think we’re having a lot of syncs with EPs, the SLs, the CSLs the coming weeks, so…
152 00:18:24.750 ⇒ 00:18:44.099 Sheshu Chandrasekar: we can get more feedback that way, but I think the main goal, for next week is kind of, like, deploy this on a global level, meaning from an organization-wide level, and then from there, we kind of get in the nuances of, like, the role-based permissions and certain starter materials or documentations on a… on a role-based level.
153 00:18:45.410 ⇒ 00:18:55.910 Gabriel Lam: Yeah. No, that sounds… that sounds perfect. I guess another question I had would be, let’s say, if I go into, like, the Marketing Hub, and there’s, like, a database of all the marketing docs.
154 00:18:56.540 ⇒ 00:19:02.820 Gabriel Lam: Versus, like, the ops hub with all the mark… like, the ops documents, are those on separate?
155 00:19:03.580 ⇒ 00:19:07.089 Gabriel Lam: I, like, I know I’m asking really granular questions, I’m just trying to, like, forecast
156 00:19:07.660 ⇒ 00:19:10.840 Gabriel Lam: 4 or 4C-somethings, but do you think…
157 00:19:11.140 ⇒ 00:19:13.759 Sheshu Chandrasekar: They would be on different databases, or do you think.
158 00:19:13.770 ⇒ 00:19:20.229 Gabriel Lam: We’re thinking of just, like, one giant database with all the documents, and then we’ll split it up by category or filter.
159 00:19:22.900 ⇒ 00:19:30.489 Sheshu Chandrasekar: Honestly, I would like to do one big database, and then split it by… like, department, client.
160 00:19:30.490 ⇒ 00:19:30.880 Gabriel Lam: Hmm.
161 00:19:30.880 ⇒ 00:19:31.659 Rico Rejoso: Yeah, that…
162 00:19:31.760 ⇒ 00:19:48.720 Rico Rejoso: That was… that was our main goal, initial step, right? On our first meeting, Gabe, we mentioned the reason why we’re creating a lot of, like, prompt is we want a central, want to get a central database, right? Where we also want to reformat all the documents that we have.
163 00:19:48.720 ⇒ 00:19:55.040 Rico Rejoso: in the same format, then put it in one central, database, and just get a, I mean.
164 00:19:55.090 ⇒ 00:19:57.719 Rico Rejoso: Filter it out per department pages.
165 00:20:01.390 ⇒ 00:20:10.110 Sheshu Chandrasekar: And Gabe, if there’s, like, a better way of doing this, like, I’m all open for suggestions, like, maybe… because I’m trying to think even for you, like.
166 00:20:11.000 ⇒ 00:20:19.130 Sheshu Chandrasekar: what would be the easiest way to deploy this quickly? So if there’s, like, a better way of organizing this, yeah, that’d be very helpful to know.
167 00:20:20.460 ⇒ 00:20:22.809 Gabriel Lam: Yeah, I think… I think the master…
168 00:20:23.600 ⇒ 00:20:27.989 Gabriel Lam: is a good idea. I think my main…
169 00:20:29.390 ⇒ 00:20:36.870 Gabriel Lam: concern, or maybe not a concern, just, like, opinion, is, like, one of the difficulties with AI has… is…
170 00:20:38.010 ⇒ 00:20:41.140 Gabriel Lam: Sometimes it reads things you don’t want it to read.
171 00:20:41.520 ⇒ 00:20:42.160 Sheshu Chandrasekar: Yeah.
172 00:20:42.920 ⇒ 00:20:44.109 Gabriel Lam: And so it’s like…
173 00:20:44.500 ⇒ 00:20:55.480 Gabriel Lam: is it helpful to just make it separate so that if I’m looking at, like, an ops document, I don’t accidentally take something from sales and it gives me the wrong answer? I think the alternative would be, like.
174 00:20:55.780 ⇒ 00:21:00.419 Gabriel Lam: Maybe we can just… Be very, you know…
175 00:21:00.930 ⇒ 00:21:19.490 Gabriel Lam: strict with the… with the requirements that we say, that we use with… with our Slack bots, or what it might be, just like, hey, if I’m behind, like, in… behind the scenes, we can tell the Slack assistants, or, like, our AI tools to be like, if I’m looking at ops, only look at ops, and then automatically filter.
176 00:21:19.580 ⇒ 00:21:25.879 Gabriel Lam: I think they both work. I think in this case, I’m more curious on knowing
177 00:21:27.120 ⇒ 00:21:32.279 Gabriel Lam: how you guys plan to do it, so that I can then organize around it.
178 00:21:33.150 ⇒ 00:21:38.430 Gabriel Lam: But I think… I… I like the master directory, personally.
179 00:21:38.620 ⇒ 00:21:42.230 Gabriel Lam: Yes, go on, sorry.
180 00:21:42.230 ⇒ 00:21:43.169 Sheshu Chandrasekar: Oh, my God.
181 00:21:43.670 ⇒ 00:21:44.430 Gabriel Lam: No, no, no.
182 00:21:44.870 ⇒ 00:21:46.600 Sheshu Chandrasekar: I’m just curious, because, like.
183 00:21:47.490 ⇒ 00:22:04.179 Sheshu Chandrasekar: what do you… do you think it would be helpful that if every artifact, document, materials, whatever you want to call it, databases, like, do you think we should have, like, a tag, function? Like, so we just add tags, so if there’s, like, a marketing document, it… we’d have a marketing tag.
184 00:22:04.290 ⇒ 00:22:17.900 Sheshu Chandrasekar: But if it also applies to ops, then there’d be an ops tag under that, field. Would that be helpful for you to kind of categorize? So… because you’re right, like, the AI can mess up, and it’ll take in all the information, but if we sort by tags.
185 00:22:18.290 ⇒ 00:22:21.889 Sheshu Chandrasekar: Maybe that could be useful of some sort? I’m not sure.
186 00:22:22.310 ⇒ 00:22:28.460 Gabriel Lam: Like, can I do multi-select? Like, let’s say it’s both marketing and ops, you can type them both?
187 00:22:29.020 ⇒ 00:22:34.100 Sheshu Chandrasekar: I think so. I remember seeing something like that, but Eliza Rico, please correct me if I’m wrong here.
188 00:22:34.300 ⇒ 00:22:38.199 Elizah Joy: Yeah, for the tags, we can do multi-select for those.
189 00:22:38.840 ⇒ 00:22:39.540 Gabriel Lam: Okay.
190 00:22:39.960 ⇒ 00:22:41.789 Elizah Joy: Yeah, for departments.
191 00:22:42.790 ⇒ 00:22:43.440 Gabriel Lam: Okay.
192 00:22:43.820 ⇒ 00:23:01.089 Sheshu Chandrasekar: And we can also create, like, another field, a multi-select field, where it’s, like, metadata, right? Like, it can be like, okay, this is, like, for GTM specifically, or this is for, business development. Like, you know, like, very specific, nuanced tags that… that could…
193 00:23:01.210 ⇒ 00:23:04.010 Sheshu Chandrasekar: maybe be helpful, I’m not sure, just throwing it out there.
194 00:23:05.730 ⇒ 00:23:11.070 Gabriel Lam: Yeah, I think that would be… I think for now… I think for now, the sort of overall department is going to be more…
195 00:23:11.850 ⇒ 00:23:14.630 Gabriel Lam: helpful, because I think from a…
196 00:23:14.950 ⇒ 00:23:18.439 Gabriel Lam: I’m seeing this from, like, a security and a usability standpoint.
197 00:23:19.210 ⇒ 00:23:22.789 Gabriel Lam: I… I only think, like, the…
198 00:23:23.150 ⇒ 00:23:26.260 Gabriel Lam: Context problem really is down to
199 00:23:26.610 ⇒ 00:23:29.990 Gabriel Lam: like, client information. So if I’m working on, like.
200 00:23:30.140 ⇒ 00:23:41.339 Gabriel Lam: ABC, then I only want ABC documentation, so I don’t… you know, if we have a contract for, like, a different client, I don’t want to get those numbers mixed up.
201 00:23:41.460 ⇒ 00:23:46.350 Gabriel Lam: That’s really the only argument I have against a master directory.
202 00:23:50.820 ⇒ 00:23:54.440 Gabriel Lam: Yeah, just some thoughts. I’m not… I’m also just sort of thinking out loud.
203 00:23:55.640 ⇒ 00:23:57.699 Sheshu Chandrasekar: Yeah, no, that’s a valid concern.
204 00:23:58.840 ⇒ 00:24:09.190 Sheshu Chandrasekar: Do you think if we implement this master directory… I don’t know if this is a good idea, now that I’m thinking about it, but let’s just say we implement this master directory, and then we track…
205 00:24:09.410 ⇒ 00:24:15.610 Sheshu Chandrasekar: saying, like, oh, like, the AI is pulling in very relevant information
206 00:24:15.730 ⇒ 00:24:17.690 Sheshu Chandrasekar: And if it doesn’t, then we kind of, like.
207 00:24:17.990 ⇒ 00:24:25.680 Sheshu Chandrasekar: revert back to a different method? Like, do you think that would be the best use of our time, or even smart on the architecture side?
208 00:24:27.710 ⇒ 00:24:30.660 Gabriel Lam: I think a master could work. I know there…
209 00:24:31.600 ⇒ 00:24:42.350 Gabriel Lam: I’ve seen a notion where, like, you can link to a master database with a filter, and I wonder if that, like, linked view has a different ID.
210 00:24:42.710 ⇒ 00:24:48.630 Gabriel Lam: like, in the sort of code side, there’s an ID to, like, A filtered version of…
211 00:24:49.650 ⇒ 00:24:54.330 Gabriel Lam: the master database, and if it does, I think that’s something that we can do instead.
212 00:24:54.830 ⇒ 00:25:00.420 Gabriel Lam: So instead of having to build out, like, you know, 10, 20 databases, then you can just have one and just…
213 00:25:01.200 ⇒ 00:25:02.770 Gabriel Lam: Find a view to it.
214 00:25:02.960 ⇒ 00:25:08.520 Gabriel Lam: That might be an option. I… I… I would… my thought.
215 00:25:08.800 ⇒ 00:25:16.179 Gabriel Lam: And I’m sure other people, like, when you present it to, like, Uten and Robert, they might have other thoughts, but just from me.
216 00:25:16.450 ⇒ 00:25:18.519 Gabriel Lam: I think the master is fine.
217 00:25:19.190 ⇒ 00:25:19.840 Sheshu Chandrasekar: Okay.
218 00:25:21.940 ⇒ 00:25:33.410 Gabriel Lam: I do have to hop off in 5 minutes, but I also wanted to check in with you guys about, like, your day-to-day workflows and, like, what documentation you guys are writing, just so…
219 00:25:33.640 ⇒ 00:25:36.760 Gabriel Lam: as… The platform team, we’re planning to…
220 00:25:37.100 ⇒ 00:25:42.350 Gabriel Lam: Build out new workflows, things that we can prioritize for the different teams.
221 00:25:43.380 ⇒ 00:25:45.630 Sheshu Chandrasekar: Yeah, I think next week we’ll…
222 00:25:45.870 ⇒ 00:25:52.709 Sheshu Chandrasekar: we’re gonna probably get into that building more documentation phase, so I think we’ll have more insight next week for you on.
223 00:25:52.710 ⇒ 00:25:53.230 Gabriel Lam: Okay.
224 00:25:53.230 ⇒ 00:25:56.380 Sheshu Chandrasekar: What’s working for us and what’s not working for us right now.
225 00:25:56.380 ⇒ 00:25:57.600 Gabriel Lam: No problem.
226 00:25:58.510 ⇒ 00:26:01.120 Gabriel Lam: analyzing Rico, do you guys have any…
227 00:26:01.670 ⇒ 00:26:04.790 Gabriel Lam: Thoughts or, like, feedback so far?
228 00:26:09.070 ⇒ 00:26:21.439 Rico Rejoso: None for me, I guess we’re just gonna stick with the plan, as what Shashu mentioned. Just the compensation calculator, I sent… I shared the document to your spreadsheet to you, for it to review.
229 00:26:21.580 ⇒ 00:26:22.890 Rico Rejoso: And let me know if you have any questions.
230 00:26:23.980 ⇒ 00:26:24.520 Gabriel Lam: Okay.
231 00:26:27.180 ⇒ 00:26:37.050 Elizah Joy: Yeah, not on my end as well, yeah, I’ve, like, with Notion, like, I’m very open to suggestions, of course, so, yeah.
232 00:26:38.380 ⇒ 00:26:39.340 Gabriel Lam: Awesome. Okay.
233 00:26:39.340 ⇒ 00:26:42.859 Elizah Joy: Very… all suggestions and concerns.
234 00:26:44.260 ⇒ 00:26:47.090 Gabriel Lam: Okay, great.
235 00:26:47.510 ⇒ 00:26:53.300 Gabriel Lam: I’m happy to… Get people’s time back. I know we ran late, but
236 00:26:53.690 ⇒ 00:26:57.459 Gabriel Lam: I’m happy to keep this time next week, but, you know, if…
237 00:26:57.810 ⇒ 00:27:03.070 Gabriel Lam: if people are busy, we can always reschedule. It’s… I see this as, like, a pretty low-pressure meeting.
238 00:27:03.760 ⇒ 00:27:09.280 Gabriel Lam: So, yeah, thanks for making time, and…
239 00:27:09.960 ⇒ 00:27:16.570 Gabriel Lam: I’ll see you guys next week, if… if you guys can make it. If not, it’s fine. And I look forward to the… the… the…
240 00:27:16.990 ⇒ 00:27:19.169 Gabriel Lam: the new Notion. It looks great.
241 00:27:19.510 ⇒ 00:27:23.730 Sheshu Chandrasekar: Yeah, absolutely, and super excited for, what’s ahead, so…
242 00:27:23.910 ⇒ 00:27:25.789 Sheshu Chandrasekar: Thanks for setting this up, Eliza and Rika.
243 00:27:25.790 ⇒ 00:27:26.420 Gabriel Lam: Yeah.
244 00:27:26.720 ⇒ 00:27:27.480 Rico Rejoso: Thank you, guys.
245 00:27:28.200 ⇒ 00:27:29.070 Elizah Joy: Thank you.
246 00:27:29.070 ⇒ 00:27:30.080 Gabriel Lam: Have a good weekend.
247 00:27:30.080 ⇒ 00:27:31.850 Sheshu Chandrasekar: Thank you, you too. Bye.
248 00:27:32.370 ⇒ 00:27:33.080 Gabriel Lam: Bye.