Meeting Title: Zoom Meeting Date: 2025-03-27 Meeting participants: Miguel De Veyra, Uttam Kumaran


WEBVTT

1 00:01:22.870 00:01:23.930 Miguel de Veyra: Hey uzum

2 00:01:25.060 00:01:26.560 Uttam Kumaran: Hey, dude! Can you hear me?

3 00:01:26.870 00:01:27.490 Miguel de Veyra: Be, a.

4 00:01:27.710 00:01:31.349 Uttam Kumaran: Cool. Thanks for staying up. Let’s walk through things so I can let you go

5 00:01:31.750 00:01:32.380 Miguel de Veyra: Okay.

6 00:01:33.030 00:01:34.220 Uttam Kumaran: Okay.

7 00:01:34.970 00:01:37.069 Miguel de Veyra: Should I share my screen, or should you share my screen

8 00:01:37.070 00:01:38.380 Uttam Kumaran: Oh, yeah. Go ahead.

9 00:01:39.050 00:01:39.900 Miguel de Veyra: Okay, okay.

10 00:01:43.340 00:01:44.729 Miguel de Veyra: okay, yeah.

11 00:01:46.290 00:01:46.860 Miguel de Veyra: So

12 00:01:47.920 00:02:07.949 Miguel de Veyra: okay, just to start things off instead. Because I was thinking, instead of doing it one by one, when, like the things here which you know obviously is not gonna have any structure, I decided to split it up into teams right? I do the per department. And then from there we can. Basically it was, you know.

13 00:02:08.090 00:02:11.770 Miguel de Veyra: for example, because I think it’s gonna be operations, the priority.

14 00:02:12.170 00:02:14.670 Miguel de Veyra: So it’s gonna have some stuff like this.

15 00:02:15.990 00:02:18.180 Miguel de Veyra: and then we can work on from there.

16 00:02:18.840 00:02:27.229 Miguel de Veyra: So I was gonna ask, like, which is there like a specific department you want us to work on? Or is there like specific stuff that you want? The team

17 00:02:27.690 00:02:30.670 Uttam Kumaran: Really good point. Okay, so let me let me

18 00:02:31.030 00:02:32.130 Miguel de Veyra: I can send the link

19 00:02:32.130 00:02:32.940 Uttam Kumaran: Yeah.

20 00:02:36.760 00:02:37.789 Miguel de Veyra: How do you chat?

21 00:02:39.710 00:02:41.759 Uttam Kumaran: AI issues. Okay. Great.

22 00:02:48.800 00:02:50.690 Uttam Kumaran: Oh, this is in create roadmap.

23 00:02:51.320 00:02:52.440 Uttam Kumaran: Oh, where is this

24 00:02:52.750 00:02:55.160 Miguel de Veyra: It’s in issues, all issues.

25 00:02:55.750 00:02:58.489 Uttam Kumaran: All issues. But then, where is that like, Doc, that you sent

26 00:02:59.314 00:03:02.470 Miguel de Veyra: It’s each on everything on the requirements started

27 00:03:02.640 00:03:05.520 Uttam Kumaran: Oh, it’s in the AI. Discovery with internal teams. Project

28 00:03:05.780 00:03:11.810 Miguel de Veyra: Yes, projects. And then there you go overview

29 00:03:19.300 00:03:19.910 Uttam Kumaran: Okay.

30 00:03:20.530 00:03:28.479 Uttam Kumaran: be, let’s just do one thing, and so we’ll make sure we’re on the same page around like overall goals. And if you want to take notes. This is where, like, I need your

31 00:03:29.160 00:03:36.050 Uttam Kumaran: kind of like creativity. So the way I see the AI work is 2 things, one

32 00:03:37.070 00:03:45.140 Uttam Kumaran: I don’t. I don’t see it as like, okay, we have AI, and we like fire. Everyone. I just think we will start to not have to hire more people

33 00:03:45.750 00:03:59.769 Uttam Kumaran: right? And what does that do? It lowers our, it improves it. It makes. Basically, people are 1 h of someone without AI versus AI is like more effective right? For example, if someone takes 3 h to do work

34 00:04:00.030 00:04:02.819 Uttam Kumaran: the same thing, but instead, they now do it in 1 h.

35 00:04:03.350 00:04:05.440 Uttam Kumaran: That’s great, you know.

36 00:04:05.570 00:04:11.320 Uttam Kumaran: So that’s like the fundamental like goal here.

37 00:04:11.620 00:04:22.599 Uttam Kumaran: right? So like, can we write that somewhere like, I just wanna like, I don’t know. We have that notion going like I just want to like, have that as a real, real, like, high level thing that we think about

38 00:04:23.760 00:04:24.510 Miguel de Veyra: Okay.

39 00:04:37.960 00:04:38.640 Miguel de Veyra: Yeah.

40 00:04:45.730 00:04:46.340 Uttam Kumaran: Okay.

41 00:04:52.705 00:04:54.960 Uttam Kumaran: wait. Don’t we have our AI what’s it called?

42 00:04:54.960 00:04:55.360 Miguel de Veyra: Oh!

43 00:04:55.360 00:04:55.830 Uttam Kumaran: Yeah.

44 00:04:55.830 00:04:57.190 Miguel de Veyra: Yeah, yeah, this is just given

45 00:04:58.038 00:04:59.711 Uttam Kumaran: What is that? It’s like AI

46 00:05:00.810 00:05:01.989 Miguel de Veyra: Be by team.

47 00:05:01.990 00:05:04.340 Uttam Kumaran: AI. Goals and roadmap for Q. 2

48 00:05:04.630 00:05:05.400 Miguel de Veyra: Yes.

49 00:05:06.360 00:05:13.539 Uttam Kumaran: Okay, yeah. So AI team building. So we start focus with client work internal work. So I wanna just like, have a.

50 00:05:16.960 00:05:20.070 Uttam Kumaran: I just want even before that do like goal.

51 00:05:20.480 00:05:25.760 Uttam Kumaran: So we want to. So our like directive is basically make

52 00:05:27.520 00:05:31.759 Uttam Kumaran: the brain forge team more efficient.

53 00:05:32.510 00:05:38.249 Uttam Kumaran: So we can execute tasks. I’m on the team goals and roadmap.

54 00:05:41.770 00:05:43.680 Uttam Kumaran: If you go back to the AI

55 00:05:43.940 00:05:44.940 Miguel de Veyra: Oh, page!

56 00:05:45.220 00:05:48.169 Uttam Kumaran: And then it’s the team goals and roadmap for Q, 2.

57 00:05:50.240 00:05:51.289 Uttam Kumaran: Go up. Go up.

58 00:05:51.820 00:05:53.859 Uttam Kumaran: Yeah, yeah. Right there.

59 00:05:57.090 00:05:58.590 Uttam Kumaran: Now, I can erase this.

60 00:05:58.800 00:05:59.650 Uttam Kumaran: Okay,

61 00:06:00.720 00:06:01.700 Miguel de Veyra: 2 monitors.

62 00:06:02.110 00:06:02.900 Uttam Kumaran: 3,

63 00:06:03.320 00:06:04.589 Miguel de Veyra: Oh, okay, that’s what I do.

64 00:06:04.590 00:06:07.280 Uttam Kumaran: You see the you wanna see the setup

65 00:06:07.280 00:06:11.393 Miguel de Veyra: Yeah, actually, I’m thinking of buying one. I got the 50, 80

66 00:06:12.540 00:06:18.150 Uttam Kumaran: Dude. Oh, I’m also so I was talking to Casey. He told me I wanted to get him like another monitor

67 00:06:19.070 00:06:20.140 Miguel de Veyra: Oh, okay.

68 00:06:20.330 00:06:23.859 Uttam Kumaran: Because he’s and and I asked him where to buy it. He said, Shopee, is that like?

69 00:06:24.400 00:06:25.400 Uttam Kumaran: What do you think

70 00:06:25.980 00:06:29.899 Miguel de Veyra: I mean, I, I get a lot of stuff from Shopee. So yeah, it’s okay.

71 00:06:30.390 00:06:31.180 Uttam Kumaran: Okay.

72 00:06:31.320 00:06:35.490 Miguel de Veyra: I’m trying to get another one, too, because one is obviously not good

73 00:06:35.830 00:06:37.690 Uttam Kumaran: You should at least have 2 dude

74 00:06:37.920 00:06:38.680 Miguel de Veyra: Yeah.

75 00:06:40.040 00:06:41.670 Uttam Kumaran: Sure. Let me slack this to you

76 00:06:42.300 00:06:44.970 Miguel de Veyra: But sorry my desk is messy, so just don’t

77 00:06:46.550 00:06:47.436 Uttam Kumaran: Don’t be

78 00:06:48.310 00:06:49.540 Uttam Kumaran: Don’t judge me

79 00:06:54.820 00:06:57.050 Miguel de Veyra: Do you have one also vertically aligned

80 00:06:57.310 00:07:00.789 Uttam Kumaran: Well, I did, but then I didn’t like it. I like the horizontal

81 00:07:01.270 00:07:04.900 Uttam Kumaran: cause. You can’t put things side by side, and it was like, too narrow.

82 00:07:05.110 00:07:06.829 Uttam Kumaran: Here, check your slide. Yeah, yeah.

83 00:07:06.930 00:07:07.600 Miguel de Veyra: So!

84 00:07:07.600 00:07:08.220 Miguel de Veyra: Oh!

85 00:07:08.420 00:07:11.327 Uttam Kumaran: So here, let me let me sort of show you what?

86 00:07:12.050 00:07:15.650 Uttam Kumaran: yeah. So I I used to have this like sort of vertical here.

87 00:07:16.250 00:07:17.939 Uttam Kumaran: But then I put it sideways.

88 00:07:18.640 00:07:19.480 Uttam Kumaran: Oh, yeah.

89 00:07:19.480 00:07:23.350 Uttam Kumaran: And then I used to have this here like this. But then I put it sideways. This is actually.

90 00:07:23.460 00:07:25.140 Uttam Kumaran: this is actually a.

91 00:07:26.120 00:07:27.939 Uttam Kumaran: This is 34 inches.

92 00:07:28.620 00:07:29.400 Uttam Kumaran: That’s pretty big

93 00:07:29.400 00:07:30.249 Miguel de Veyra: You? Do you run?

94 00:07:30.630 00:07:31.869 Uttam Kumaran: I’m on a Mac mini

95 00:07:33.050 00:07:34.190 Miguel de Veyra: Oh, okay.

96 00:07:34.770 00:07:36.210 Miguel de Veyra: Oh, yeah. The one you bought

97 00:07:36.370 00:07:42.210 Uttam Kumaran: I’m on a Mac mini. And then this one is another like, yeah, like 30 inches, 30 inches

98 00:07:42.330 00:07:44.550 Uttam Kumaran: like, usually keep like slack.

99 00:07:44.790 00:07:51.980 Uttam Kumaran: I then have notion a meeting, and then I have my calendar, and then, yeah.

100 00:07:51.980 00:07:55.730 Miguel de Veyra: 2 should be fine, because my monitor arm only has 2, so that should be

101 00:07:55.730 00:07:59.750 Uttam Kumaran: How big is your desk? Because dude, this desk is like 50. This desk is like 50 inches

102 00:07:59.970 00:08:04.959 Miguel de Veyra: Where where’s my?

103 00:08:04.960 00:08:09.210 Uttam Kumaran: You should at least put like 2 like this, or you get one big curved one

104 00:08:10.040 00:08:12.200 Miguel de Veyra: Yeah. Cause I bought this like a year ago.

105 00:08:12.400 00:08:14.349 Miguel de Veyra: This desk. Wait. How long is this?

106 00:08:15.040 00:08:18.680 Miguel de Veyra: Oh, yeah, it’s 47 inches

107 00:08:21.030 00:08:22.290 Uttam Kumaran: Oh, nice. Okay.

108 00:08:23.090 00:08:23.849 Miguel de Veyra: Yeah, it’s pretty big.

109 00:08:23.850 00:08:28.820 Uttam Kumaran: Yeah, you have more than enough space to you should at least do one and one

110 00:08:29.750 00:08:30.860 Miguel de Veyra: Yeah, the thing is, you can

111 00:08:30.860 00:08:31.929 Uttam Kumaran: It to your laptop

112 00:08:32.169 00:08:33.549 Miguel de Veyra: No, no, my PC.

113 00:08:34.240 00:08:35.290 Uttam Kumaran: Is it underneath

114 00:08:35.740 00:08:37.159 Miguel de Veyra: Yeah, yeah. It’s beside me.

115 00:08:38.400 00:08:41.930 Uttam Kumaran: Then, yeah, dude, you should definitely do one in one, or you should buy a long

116 00:08:43.601 00:08:50.038 Miguel de Veyra: Ultra wide. Yeah. And I’m not a fan I get. I get dizzy. So I’m probably gonna get like

117 00:08:50.620 00:08:53.570 Miguel de Veyra: another monitor. It’s just. I’m kinda

118 00:08:53.710 00:08:56.639 Miguel de Veyra: pumping the brakes a bit because I’ve spent too much this month.

119 00:08:57.740 00:09:02.170 Miguel de Veyra: The Gpu alone is a 50 80 cost me like $1,800.

120 00:09:02.170 00:09:08.000 Uttam Kumaran: Yeah, dude. That’s cause you’re trying to game. Yeah. But how are you gonna gamulate one monitor dude. It’s sad

121 00:09:08.599 00:09:10.999 Miguel de Veyra: So yeah, I’m probably gonna buy next month.

122 00:09:12.110 00:09:18.980 Uttam Kumaran: Okay, cool. Yeah. I mean, I’m gonna I’ll I’ll maybe send you what I’m gonna get for Casey. But dude even his desk sucks like I wanna get him a monitor

123 00:09:19.550 00:09:20.510 Miguel de Veyra: Okay, okay.

124 00:09:21.060 00:09:26.360 Miguel de Veyra: I’m probably gonna get the same one as I did. Because before I got 2 separate ones. And it’s just, you know.

125 00:09:26.920 00:09:28.910 Miguel de Veyra: I want it to be consistent.

126 00:09:28.910 00:09:31.590 Uttam Kumaran: Can you send me the one you got the link

127 00:09:32.852 00:09:42.309 Miguel de Veyra: Yeah, sure, I’ll get the brand later. It’s behind. But I think it’s like 200 bucks or something, because I can’t. I can’t do stuff on 1, 44 hertz. I’m never going back there.

128 00:09:42.540 00:09:46.409 Miguel de Veyra: I mean on on 60 hertz. No, no, I’m not doing it.

129 00:09:48.040 00:09:48.540 Uttam Kumaran: Yeah.

130 00:09:48.540 00:09:49.429 Miguel de Veyra: Get back on track

131 00:09:49.960 00:09:55.170 Uttam Kumaran: So, yeah, so make the brain force team more efficient. So we can execute

132 00:09:56.120 00:09:58.869 Miguel de Veyra: Tasks faster, with

133 00:10:01.290 00:10:07.900 Uttam Kumaran: So we can actually task faster on a per person basis.

134 00:10:08.400 00:10:09.750 Uttam Kumaran: That’s the directive

135 00:10:10.470 00:10:11.160 Miguel de Veyra: Okay.

136 00:10:11.360 00:10:12.010 Uttam Kumaran: Right.

137 00:10:12.550 00:10:25.270 Uttam Kumaran: So this is like reason why, I say, is, it could be AI could be automation. It could be a process could be anything. But like, I basically think, like, this is the, this is what the team focus on client work living as identify and solve internal pain points with.

138 00:10:26.720 00:10:30.689 Uttam Kumaran: Yeah, I would just say, I would say, this is more of this.

139 00:10:31.170 00:10:34.349 Uttam Kumaran: So making the Brainforge team more efficient

140 00:10:34.750 00:10:39.119 Miguel de Veyra: Yes, so we have to find the inefficiencies first.st Now.

141 00:10:39.120 00:10:49.450 Uttam Kumaran: Yes, exactly. So. Amber’s Pm engineering product. Owner, cool Patrick advisor, 2 engineers.

142 00:10:49.580 00:10:50.800 Uttam Kumaran: Engineering lead.

143 00:10:50.900 00:10:52.250 Uttam Kumaran: Yeah, perfect.

144 00:10:55.350 00:10:56.330 Miguel de Veyra: That’s probably wrong.

145 00:11:00.120 00:11:00.630 Uttam Kumaran: Cool.

146 00:11:00.630 00:11:03.749 Uttam Kumaran: So this all makes sense. So you moved

147 00:11:04.570 00:11:08.668 Uttam Kumaran: So now I think we’re gonna move towards

148 00:11:09.400 00:11:15.160 Uttam Kumaran: we should. Let’s talk about what’s in notion? I mean in linear, the linear. Yeah, I I

149 00:11:15.850 00:11:19.609 Uttam Kumaran: I want to do AI discovery. But frankly, I think

150 00:11:21.680 00:11:24.700 Uttam Kumaran: even before, like I think you should run.

151 00:11:25.450 00:11:29.760 Uttam Kumaran: I don’t know. Like, okay, let’s just I think this the way you have this is fine.

152 00:11:33.390 00:11:36.800 Uttam Kumaran: But I don’t even know whether you need to do this, because

153 00:11:37.010 00:11:40.480 Uttam Kumaran: we already have a lot of things that

154 00:11:42.870 00:11:46.379 Uttam Kumaran: I can sort of give you the gist on.

155 00:11:46.590 00:11:50.350 Uttam Kumaran: But like, how do I don’t know how, how like, how should we best do this?

156 00:11:51.700 00:11:54.189 Uttam Kumaran: For example, we already, we already like, have the

157 00:11:54.800 00:12:00.050 Uttam Kumaran: We have the the AI agents roaming around like what do you think is.

158 00:12:01.450 00:12:03.250 Uttam Kumaran: what do you think is the best path

159 00:12:04.148 00:12:18.050 Miguel de Veyra: Yeah, I mean, that’s why I kind of structured it like this. So we have things that we already have. And then we don’t necessarily have to this, but it’s just to split it up into departments. And then for existing tickets, we can just put it inside, just so we can, you know, categorize it?

160 00:12:18.540 00:12:22.449 Miguel de Veyra: Cause I think doing it like this is, you know, we’re never gonna get anything done.

161 00:12:22.920 00:12:24.010 Miguel de Veyra: It’s too broad

162 00:12:24.790 00:12:26.019 Uttam Kumaran: Okay, great. So.

163 00:12:26.020 00:12:27.389 Miguel de Veyra: And then this way.

164 00:12:28.230 00:12:29.540 Uttam Kumaran: Yeah, go ahead. Go go ahead.

165 00:12:29.540 00:12:43.760 Miguel de Veyra: And yeah. And then this way, we can also know, like, Hey, we’ve spent like majority of our time helping out operations. And I don’t know sales. Maybe, you know, in the upcoming cycle we can help out and say on management and data team

166 00:12:44.140 00:12:48.280 Uttam Kumaran: So date. So, how about? I’m gonna put?

167 00:12:50.660 00:12:57.730 Uttam Kumaran: I’m gonna move everything. I’m gonna move everything except for data team.

168 00:12:58.720 00:13:02.770 Uttam Kumaran: That’s the number one priority. It’s the number one cost center for the business

169 00:13:03.020 00:13:03.860 Miguel de Veyra: Okay. Okay.

170 00:13:04.470 00:13:08.310 Uttam Kumaran: So I’m gonna put data team and operations

171 00:13:08.980 00:13:09.600 Miguel de Veyra: Okay.

172 00:13:10.150 00:13:13.286 Uttam Kumaran: Both of these are going to be the focus. So let me look at

173 00:13:13.670 00:13:15.577 Uttam Kumaran: let me go back and look at

174 00:13:16.870 00:13:17.830 Uttam Kumaran: Be

175 00:13:21.820 00:13:22.309 Miguel de Veyra: How do you stop?

176 00:13:22.310 00:13:23.010 Uttam Kumaran: Grovery.

177 00:13:23.550 00:13:27.959 Miguel de Veyra: Just a quick question is, what’s his name? Again the guy

178 00:13:28.260 00:13:29.940 Uttam Kumaran: It was under Canina

179 00:13:30.480 00:13:35.290 Miguel de Veyra: This was in there earlier. The lead I’m assuming he’s the head of AI head of data, right?

180 00:13:35.690 00:13:37.480 Miguel de Veyra: Oh, gosh, yeah.

181 00:13:37.790 00:13:45.219 Uttam Kumaran: No. So Akash is, our is a maybe ahead of Pm, so for data, for data.

182 00:13:45.360 00:13:48.870 Uttam Kumaran: it’s probably gonna be a mix of me and a wish

183 00:13:50.800 00:13:51.870 Miguel de Veyra: Okay. Okay. Okay.

184 00:13:52.543 00:13:53.349 Uttam Kumaran: Most likely.

185 00:13:53.350 00:13:55.390 Miguel de Veyra: Check. Also, if everything is correct.

186 00:13:55.390 00:14:01.820 Uttam Kumaran: Yeah, yeah. Yeah. So Nikom Ann Ryan data teams.

187 00:14:02.670 00:14:06.570 Uttam Kumaran: So this is where I’m gonna put project

188 00:14:07.860 00:14:08.340 Miguel de Veyra: Right.

189 00:14:08.340 00:14:09.090 Uttam Kumaran: Management.

190 00:14:10.100 00:14:14.129 Uttam Kumaran: And this is gonna be, this is gonna be.

191 00:14:14.270 00:14:16.630 Uttam Kumaran: this is, gonna be more of this.

192 00:14:19.550 00:14:21.950 Uttam Kumaran: Sorry. Can you re can you just reformat that? Yeah.

193 00:14:21.950 00:14:23.169 Miguel de Veyra: Yep, yep, no worries.

194 00:14:23.350 00:14:33.680 Uttam Kumaran: And then I’m just gonna put data teams here as in Kyle demalade. Awaish Luke

195 00:14:42.580 00:14:46.900 Miguel de Veyra: Case is like very worried that he’s not doing well on the dashboard side.

196 00:14:47.060 00:15:02.309 Uttam Kumaran: Oh, I know. But it’s not that he’s doing. Yeah. He stayed up until like he said, it’s way too late. But but also I? Yeah, I mean, I’m I’m it needs to. We need that done, they pulled over the meeting today and it it was like, had he not done that work.

197 00:15:04.250 00:15:06.950 Uttam Kumaran: I wouldn’t have been able to show anything this morning, so it’s fine

198 00:15:07.310 00:15:08.200 Miguel de Veyra: Okay. Okay.

199 00:15:08.200 00:15:11.439 Uttam Kumaran: But this is where it’s also like we just need clear tickets. And like.

200 00:15:12.190 00:15:14.910 Uttam Kumaran: I need him working on other stuff, too. So he’s fine

201 00:15:15.290 00:15:20.759 Miguel de Veyra: Yeah, I told him. Well, I don’t think we don’t really expect you to know majority of this stuff

202 00:15:20.760 00:15:23.100 Uttam Kumaran: No dude. That’s why I’m moving Annie over, cause I’m like

203 00:15:23.100 00:15:23.720 Miguel de Veyra: Yeah, we

204 00:15:23.720 00:15:24.350 Uttam Kumaran: Yeah.

205 00:15:26.040 00:15:31.399 Uttam Kumaran: no, I mean, I don’t. This is all new. And even the data stuff is new for you guys. So I’m not worried about that. But

206 00:15:32.920 00:15:42.370 Uttam Kumaran: okay, so I feel like, this is pretty good. So this is ticket creation requirements gathering

207 00:15:42.370 00:15:45.200 Miguel de Veyra: I’ll also be here in project management, I assume right

208 00:15:45.980 00:15:46.680 Uttam Kumaran: Who.

209 00:15:47.040 00:15:47.700 Miguel de Veyra: Me!

210 00:15:47.940 00:15:51.160 Uttam Kumaran: I think you’re more on like engineering

211 00:15:51.880 00:15:53.040 Miguel de Veyra: Leadership.

212 00:15:56.020 00:16:01.069 Uttam Kumaran: I don’t know. I mean, I don’t know. Like I I think I see you more as like engineering leadership where you’re like

213 00:16:01.230 00:16:04.219 Uttam Kumaran: right now you have Casey and Jana, I would consider like

214 00:16:04.510 00:16:09.870 Uttam Kumaran: roll up to you. Basically, like for me, I’m I’m sort of leading all the data engineers

215 00:16:10.270 00:16:11.349 Miguel de Veyra: Okay. Okay. No. Problem.

216 00:16:11.943 00:16:14.140 Uttam Kumaran: So the product owner here is Akash

217 00:16:15.220 00:16:15.700 Miguel de Veyra: Okay.

218 00:16:15.700 00:16:16.500 Uttam Kumaran: Amber.

219 00:16:20.180 00:16:20.800 Miguel de Veyra: Okay.

220 00:16:21.390 00:16:24.679 Uttam Kumaran: Yeah, so, Robert, what’s a star?

221 00:16:25.830 00:16:27.440 Miguel de Veyra: Not sure if they’re, it’s the correct

222 00:16:27.440 00:16:29.559 Uttam Kumaran: Oh, okay, yeah, yeah, this is fine.

223 00:16:42.730 00:16:45.339 Uttam Kumaran: Okay. And this is actually gonna be Marianne.

224 00:16:46.060 00:16:46.680 Miguel de Veyra: Oh!

225 00:16:48.130 00:16:49.740 Uttam Kumaran: And Marianne’s gonna be leading

226 00:16:50.910 00:16:51.670 Miguel de Veyra: Oops!

227 00:16:53.250 00:17:00.539 Uttam Kumaran: Okay, so what tasks take up the most time in your team? Are there recurring manual processes?

228 00:17:04.420 00:17:09.559 Uttam Kumaran: One good question to ask here is, what is the most annoying

229 00:17:09.880 00:17:12.740 Uttam Kumaran: task that you have to do

230 00:17:13.040 00:17:14.020 Miguel de Veyra: Each week.

231 00:17:14.770 00:17:20.339 Uttam Kumaran: Right, because we don’t want to just take on the hard stuff, because some people like to do the hard stuff also, like taking care of the annoying stuff

232 00:17:22.349 00:17:25.639 Miguel de Veyra: Yeah, like, the mundane stuff

233 00:17:25.640 00:17:26.319 Uttam Kumaran: Yeah.

234 00:17:26.990 00:17:27.619 Miguel de Veyra: Okay.

235 00:17:39.620 00:17:43.789 Uttam Kumaran: I mean, do this one? You know, they’re already. They do use the stuff right?

236 00:17:44.030 00:17:45.989 Uttam Kumaran: Everyone’s in linear. Everyone’s in linear.

237 00:17:48.500 00:17:59.750 Uttam Kumaran: But I think the better question here is like, is this team meeting heavy, black, heavy, like, how

238 00:18:00.210 00:18:03.060 Uttam Kumaran: where does communication happen?

239 00:18:03.450 00:18:04.140 Miguel de Veyra: Yeah.

240 00:18:22.400 00:18:25.685 Uttam Kumaran: The other thing to do here is like, ask

241 00:18:27.220 00:18:31.189 Uttam Kumaran: how familiar are you with AI?

242 00:18:32.190 00:18:36.140 Uttam Kumaran: Do you use AI every day?

243 00:18:36.250 00:18:43.670 Uttam Kumaran: I want everybody in the company to be using AI shit every day. I don’t think it’s happening right

244 00:18:43.880 00:18:44.600 Miguel de Veyra: Yeah.

245 00:18:47.670 00:18:50.909 Miguel de Veyra: I mean, even this document I had. I had AI, so

246 00:18:56.480 00:18:57.569 Uttam Kumaran: Oh, yeah. Duh

247 00:18:58.523 00:19:00.890 Miguel de Veyra: I’m not typing all this.

248 00:19:10.070 00:19:12.430 Miguel de Veyra: Okay, I’ve got

249 00:19:37.270 00:19:42.309 Uttam Kumaran: Okay. So I think this is good. Let’s talk about a couple of other short term things.

250 00:19:42.639 00:19:44.830 Uttam Kumaran: Here, do you mind if I just share my screen

251 00:19:44.830 00:19:45.710 Miguel de Veyra: Okay. Yeah.

252 00:19:46.940 00:19:48.210 Uttam Kumaran: So

253 00:20:11.790 00:20:17.509 Uttam Kumaran: there’s some of these that I think are gonna help every single team, anyways. So this one is like

254 00:20:18.410 00:20:21.779 Uttam Kumaran: we are now bringing in all the zoom, all the zoom videos

255 00:20:22.780 00:20:28.110 Uttam Kumaran: I want to be. I just. It’s hard for me to go into drive and be like, give me all the sales videos right

256 00:20:28.290 00:20:29.100 Miguel de Veyra: Bike.

257 00:20:29.210 00:20:31.340 Uttam Kumaran: So one is.

258 00:20:31.930 00:20:42.520 Uttam Kumaran: The open questions I have here are, is drive the best place to host

259 00:20:42.760 00:20:43.870 Miguel de Veyra: These.

260 00:20:44.710 00:20:53.270 Uttam Kumaran: How can we use AI to add metadata columns right

261 00:20:54.060 00:20:59.839 Uttam Kumaran: or or how, or just like, how can we add more metadata

262 00:21:00.290 00:21:06.540 Uttam Kumaran: columns? Right? And so the metadata I want to see is like attendees blessed.

263 00:21:06.770 00:21:10.529 Uttam Kumaran: I want to see meeting Summary.

264 00:21:10.830 00:21:13.860 Uttam Kumaran: I want to see a short and long.

265 00:21:14.470 00:21:17.049 Uttam Kumaran: I want to see like a categorization

266 00:21:18.890 00:21:26.220 Uttam Kumaran: right? Like I wanna see, like sensitive Boolean column

267 00:21:26.850 00:21:27.740 Uttam Kumaran: like, I want to be able to

268 00:21:27.740 00:21:28.210 Miguel de Veyra: Can you

269 00:21:28.210 00:21:28.599 Uttam Kumaran: I want to be

270 00:21:28.600 00:21:29.589 Miguel de Veyra: Clarify on that

271 00:21:29.980 00:21:38.380 Uttam Kumaran: Sensitive is like, was there things like salary, etc, like discussed

272 00:21:38.490 00:21:40.620 Uttam Kumaran: cause? Then I don’t want those to be published

273 00:21:41.200 00:21:42.120 Miguel de Veyra: Okay. Okay.

274 00:21:42.120 00:21:45.039 Uttam Kumaran: Or I don’t even want those to be recorded like.

275 00:21:46.070 00:21:49.549 Uttam Kumaran: If if so, we should delete

276 00:21:50.580 00:21:51.220 Miguel de Veyra: Yeah.

277 00:21:52.030 00:21:52.800 Uttam Kumaran: Right?

278 00:21:55.530 00:21:59.769 Uttam Kumaran: So this is something that like we’re sitting on like.

279 00:21:59.950 00:22:02.980 Uttam Kumaran: you know, we need to. I want to figure out how to do this.

280 00:22:03.170 00:22:04.140 Miguel de Veyra: Okay. Okay.

281 00:22:04.390 00:22:05.880 Uttam Kumaran: Because my goal

282 00:22:09.410 00:22:16.480 Uttam Kumaran: wants to measure how many meetings are happening, and also

283 00:22:17.210 00:22:29.340 Uttam Kumaran: people quickly want to go find past meetings based on category, or what was talked about alright

284 00:22:29.650 00:22:33.490 Miguel de Veyra: Yeah, I think there was also a task

285 00:22:33.980 00:22:37.970 Miguel de Veyra: that you wanted some sort of ui to view. This

286 00:22:40.120 00:22:45.650 Uttam Kumaran: I? Oh, yeah, I guess that’s where it’s like this is. That’s what I don’t know. Like, I guess these are just my questions.

287 00:22:45.650 00:22:46.060 Miguel de Veyra: Yeah.

288 00:22:46.060 00:22:50.250 Uttam Kumaran: For you guys to figure out like I I’m down for wherever whatever this gets put into

289 00:22:50.720 00:22:51.380 Miguel de Veyra: Okay.

290 00:22:52.592 00:22:58.970 Uttam Kumaran: But this is one thing that I feel like is

291 00:23:01.570 00:23:04.929 Uttam Kumaran: important for you to, I think, figure this out which is

292 00:23:06.738 00:23:10.930 Uttam Kumaran: meeting, video storage and analytics.

293 00:23:12.120 00:23:15.309 Uttam Kumaran: So that’s 1 item, that’s really, really a priority.

294 00:23:15.580 00:23:18.180 Uttam Kumaran: Second item is,

295 00:23:34.560 00:23:36.859 Miguel de Veyra: What were the touch points on a 17

296 00:23:39.913 00:23:40.780 Uttam Kumaran: Where’s that?

297 00:23:41.250 00:23:43.200 Miguel de Veyra: It’s already in the requirements of the review.

298 00:23:47.230 00:23:48.140 Uttam Kumaran: Oh.

299 00:23:52.380 00:23:57.309 Uttam Kumaran: this is less of what we got. We’re better at this now, so I think less of a priority right now.

300 00:23:57.790 00:23:58.540 Miguel de Veyra: Okay.

301 00:23:58.540 00:24:02.980 Uttam Kumaran: Because we’re talking to every customer right now, which is okay, I think

302 00:24:15.070 00:24:16.390 Miguel de Veyra: What about the plan? Hubs

303 00:24:16.390 00:24:21.819 Uttam Kumaran: Something around this and the knowledge base.

304 00:24:22.180 00:24:27.000 Uttam Kumaran: And this one is related to this meeting one

305 00:24:27.360 00:24:30.419 Uttam Kumaran: black messages. So this is all related to like

306 00:24:31.130 00:24:31.870 Miguel de Veyra: Actually

307 00:24:32.180 00:24:33.589 Uttam Kumaran: All the same one right?

308 00:24:33.900 00:24:34.470 Miguel de Veyra: Yeah.

309 00:24:34.680 00:24:40.329 Uttam Kumaran: So I’m just gonna put like, I’m gonna put this description here.

310 00:24:40.630 00:24:44.309 Uttam Kumaran: I’m gonna put this description here.

311 00:24:46.700 00:24:55.609 Uttam Kumaran: I’m gonna say, client agents or something like that. Right? So this is like a whole project in itself.

312 00:24:55.870 00:24:56.530 Miguel de Veyra: Yeah.

313 00:24:59.430 00:25:07.380 Uttam Kumaran: And this one, right? So I’m just gonna delete this delete this.

314 00:25:11.280 00:25:14.650 Uttam Kumaran: So these are like

315 00:25:20.000 00:25:25.469 Uttam Kumaran: these are passing notes on this topic. Do you get like? Do you get like what the goal is for this

316 00:25:25.700 00:25:26.690 Uttam Kumaran: overall?

317 00:25:27.750 00:25:29.090 Miguel de Veyra: Wait, wait! Let me read it first.st

318 00:25:41.900 00:25:45.069 Miguel de Veyra: I mean this one we discussed for a long time already

319 00:25:45.440 00:25:48.709 Uttam Kumaran: Yeah, okay. But still we’re not there.

320 00:25:49.495 00:25:50.049 Miguel de Veyra: Yeah.

321 00:25:50.490 00:25:50.900 Uttam Kumaran: Yes.

322 00:25:53.580 00:25:57.949 Uttam Kumaran: So a couple of things which is like data like, right? I want.

323 00:25:58.230 00:26:06.750 Uttam Kumaran: So there’s a bunch of blockers here. So data blockers. One is which one is basically like black messages.

324 00:26:09.190 00:26:17.130 Uttam Kumaran: Github, Zoom Meetings, emails.

325 00:26:19.103 00:26:23.070 Uttam Kumaran: Linear tickets, notion

326 00:26:26.370 00:26:31.849 Uttam Kumaran: ad hoc inputs. Right? Like all of these need to get put into there

327 00:26:32.820 00:26:38.300 Miguel de Veyra: Yeah, right? So 1st is like, this is, probably these are probably like

328 00:26:38.510 00:26:41.619 Uttam Kumaran: Client agent. This probably ends up turning into a project.

329 00:26:42.940 00:26:49.289 Uttam Kumaran: These are some tickets getting these all into either super base or wherever you need them right

330 00:26:49.500 00:26:52.459 Uttam Kumaran: like the Zoom Meeting ticket is probably the other one right

331 00:26:52.690 00:26:56.179 Miguel de Veyra: Yeah. So one thing is like getting all this in one place.

332 00:26:56.320 00:26:58.909 Uttam Kumaran: The second piece is like storage.

333 00:26:59.550 00:27:01.870 Uttam Kumaran: The 3rd piece is like rag.

334 00:27:02.110 00:27:06.130 Uttam Kumaran: and the 4th piece is like the AI output. Right?

335 00:27:07.250 00:27:09.899 Uttam Kumaran: Yeah, these are probably the key pieces. Yeah.

336 00:27:10.420 00:27:15.160 Miguel de Veyra: Is it gonna be all one agent for all, or it’s gonna be one per client

337 00:27:17.377 00:27:20.830 Uttam Kumaran: One per. So I wanna do wanna start with one per client

338 00:27:21.220 00:27:22.250 Miguel de Veyra: Okay. Okay.

339 00:27:22.510 00:27:24.400 Uttam Kumaran: The one per client.

340 00:27:25.790 00:27:28.029 Uttam Kumaran: And then I’m gonna put here like notes.

341 00:27:28.630 00:27:34.759 Uttam Kumaran: We can consider having one major brain forge

342 00:27:35.350 00:27:38.690 Miguel de Veyra: Yeah, that treats basically everywhere.

343 00:27:38.690 00:27:40.290 Miguel de Veyra: Yeah, I went from, agent

344 00:27:40.290 00:27:45.000 Uttam Kumaran: Yeah. Agent, that is the head agent. Yeah.

345 00:27:45.700 00:27:46.420 Miguel de Veyra: Yeah.

346 00:27:53.190 00:27:55.049 Uttam Kumaran: All this data needs to get in

347 00:27:55.920 00:27:56.640 Miguel de Veyra: Okay.

348 00:27:56.880 00:28:00.709 Uttam Kumaran: I want. And I want to see some of this in in Snowflake.

349 00:28:01.120 00:28:04.020 Uttam Kumaran: And then we basically need to move this into

350 00:28:04.480 00:28:07.160 Uttam Kumaran: if you need it in super base. Probably right? So

351 00:28:08.480 00:28:11.449 Miguel de Veyra: Is there on the 1st note you have?

352 00:28:11.620 00:28:18.000 Miguel de Veyra: Is there a reason why start sort of storing all of slack messages in S. 3 1st and Snowflake

353 00:28:18.400 00:28:20.050 Uttam Kumaran: Well, this is where it’s like.

354 00:28:21.090 00:28:27.389 Uttam Kumaran: if you want to use like, there’s multiple use cases right? So like, I want to use it. And I want to start to show

355 00:28:27.880 00:28:30.630 Uttam Kumaran: how is slack being used in our company.

356 00:28:31.110 00:28:31.880 Miguel de Veyra: Okay.

357 00:28:31.880 00:28:33.880 Uttam Kumaran: But if you’re if you’re

358 00:28:34.660 00:28:40.070 Uttam Kumaran: if you want to use it for rag and super base.

359 00:28:40.180 00:28:42.879 Uttam Kumaran: then we shouldn’t. Then we should send it somewhere first.st

360 00:28:45.040 00:28:47.109 Uttam Kumaran: Otherwise there’s multiple pipelines.

361 00:28:47.520 00:28:51.569 Uttam Kumaran: I would rather send it 1st to S. 3 and then from S. 3 can go anywhere else

362 00:28:52.550 00:28:53.270 Miguel de Veyra: Okay.

363 00:28:53.740 00:28:56.899 Uttam Kumaran: But like, this is where it’s like, that’s a data architecture decision.

364 00:28:58.440 00:28:59.190 Miguel de Veyra: Yeah.

365 00:29:00.380 00:29:03.590 Uttam Kumaran: Like. I would rather you just dump all this shit into S. 3,

366 00:29:04.340 00:29:08.670 Uttam Kumaran: and then, if you need it in super base, you can take it. If I need it in Snowflake, I can take it

367 00:29:09.828 00:29:12.709 Miguel de Veyra: Yeah, okay, yeah. That makes sense. So it’s not like.

368 00:29:13.130 00:29:16.920 Miguel de Veyra: so there’s like a central stuff. First, st yeah, like, that’s that’s

369 00:29:16.920 00:29:22.070 Uttam Kumaran: Totally, for drive is not a good like programmatic storage

370 00:29:22.560 00:29:23.180 Miguel de Veyra: Yeah.

371 00:29:23.800 00:29:27.789 Uttam Kumaran: If I wanted to go somewhere. That’s easily accessible by any system

372 00:29:28.840 00:29:31.909 Miguel de Veyra: Do you have experience in S. 3? I have a little

373 00:29:32.270 00:29:35.370 Uttam Kumaran: Yeah, a lot lot. Yeah, part 2,

374 00:29:36.050 00:29:38.289 Miguel de Veyra: Oh, okay, no. Nice, at least bad stuff.

375 00:29:38.910 00:29:39.520 Uttam Kumaran: Yeah.

376 00:29:39.930 00:29:42.289 Miguel de Veyra: I have a bit. But it was self thought so

377 00:29:42.290 00:29:46.270 Uttam Kumaran: But also like we could use we could use super base.

378 00:29:46.590 00:29:49.119 Uttam Kumaran: Yeah, I don’t know. I feel like we should just probably use S. 3

379 00:29:49.320 00:29:56.459 Miguel de Veyra: Yeah, yeah, and yeah, that way, we can like compartmentalize super basis more for rag stuff

380 00:29:57.030 00:29:57.740 Uttam Kumaran: Yeah.

381 00:29:57.920 00:30:00.369 Miguel de Veyra: And then snowflake is more for dashboards

382 00:30:00.550 00:30:03.449 Uttam Kumaran: Snowflake is more like, yeah, like, relational database

383 00:30:03.780 00:30:04.360 Miguel de Veyra: Yeah.

384 00:30:07.710 00:30:12.640 Uttam Kumaran: So all of these things basically get ticketed out and like have to move from

385 00:30:13.300 00:30:16.079 Uttam Kumaran: like, that’s why, cause I don’t want us to be pulling these

386 00:30:16.340 00:30:20.120 Uttam Kumaran: into context every time, like where the rag this is, where and again

387 00:30:20.490 00:30:23.649 Uttam Kumaran: it’s up to. It’s probably best for you and Pat to figure out like

388 00:30:24.130 00:30:28.070 Uttam Kumaran: how to rag this into the best output. But the AI output, too. This is things like.

389 00:30:28.670 00:30:31.569 Uttam Kumaran: what does the output message look like

390 00:30:31.830 00:30:32.400 Miguel de Veyra: Yeah.

391 00:30:35.020 00:30:39.849 Uttam Kumaran: Right. This is rag is like getting the right context.

392 00:30:40.190 00:30:45.239 Uttam Kumaran: Storage s. 3. As universal storage

393 00:30:48.910 00:30:52.800 Uttam Kumaran: then moves from here to vector

394 00:30:53.340 00:30:54.229 Miguel de Veyra: Right for now

395 00:30:54.230 00:30:55.860 Uttam Kumaran: Or wherever

396 00:31:04.930 00:31:07.659 Uttam Kumaran: this is all like data sources.

397 00:31:08.090 00:31:12.709 Uttam Kumaran: And then the other thing is like data orchestration.

398 00:31:12.990 00:31:18.679 Uttam Kumaran: This is like extraction and loading orchestration.

399 00:31:19.060 00:31:26.479 Uttam Kumaran: So I think we can consider using Dlt. And then for data modeling can use. Dbt

400 00:31:27.440 00:31:28.130 Miguel de Veyra: Okay.

401 00:31:28.380 00:31:37.839 Uttam Kumaran: The Lt is free. Dbt is free. S. 3 is basically free. Moving the data from these which should be free. This is where there’s going to be like the super base, and Llm. Cost right

402 00:31:38.270 00:31:38.940 Miguel de Veyra: Yeah.

403 00:31:47.150 00:31:52.930 Uttam Kumaran: But do you kind of see like this is the sort of thing I want you to start to be able to articulate

404 00:31:53.590 00:31:54.750 Miguel de Veyra: Yup, yup, okay.

405 00:32:09.150 00:32:10.236 Miguel de Veyra: okay. Yeah.

406 00:32:11.400 00:32:13.380 Miguel de Veyra: At least, that’s a bit more clear to me.

407 00:32:33.760 00:32:34.890 Uttam Kumaran: Okay, cool.

408 00:32:37.240 00:32:42.609 Uttam Kumaran: So I think if, can you move this into a project and then start to create tickets

409 00:32:43.100 00:32:43.810 Miguel de Veyra: Okay. Yeah. Sure.

410 00:32:43.810 00:32:48.870 Uttam Kumaran: For this one. I would love to start here, as, like all ingestion related stuff

411 00:32:49.490 00:32:50.230 Miguel de Veyra: Yeah.

412 00:32:51.350 00:32:55.400 Uttam Kumaran: That way, we can start handling, handing it to to Casey.

413 00:32:55.640 00:33:00.059 Uttam Kumaran: I I’m gonna just let’s just clean up these a little bit more

414 00:33:00.920 00:33:01.650 Miguel de Veyra: Interesting.

415 00:33:04.990 00:33:11.169 Uttam Kumaran: I still think, like we could have an interface for brain for people to search meetings like, how else are we gonna do it

416 00:33:12.440 00:33:17.150 Miguel de Veyra: Yeah, that’s probably the cause. I I honestly don’t want to do it through slack

417 00:33:18.760 00:33:24.209 Uttam Kumaran: No, I don’t think we should do it through slack. But like, can you? Can you use AI to build like a simple

418 00:33:24.650 00:33:28.820 Uttam Kumaran: like way for people just to search meeting transcripts for shit

419 00:33:29.922 00:33:30.850 Miguel de Veyra: Yeah, I mean, that’s

420 00:33:30.850 00:33:31.890 Uttam Kumaran: Play, the video.

421 00:33:32.730 00:33:34.980 Miguel de Veyra: Yeah, I mean, I could just quickly add it to the

422 00:33:35.430 00:33:37.180 Miguel de Veyra: the one we use for Demos

423 00:33:37.380 00:33:38.020 Uttam Kumaran: Okay.

424 00:33:39.090 00:33:42.600 Miguel de Veyra: Like, everything’s built there. Basically already.

425 00:33:50.130 00:33:51.710 Uttam Kumaran: Okay. And this one.

426 00:33:57.750 00:34:02.269 Uttam Kumaran: okay? And then this one, I’m gonna I’m not. Gonna I’m gonna put a, it’s in the recruiting right

427 00:34:02.550 00:34:03.430 Miguel de Veyra: Yeah, yeah.

428 00:34:08.500 00:34:13.360 Uttam Kumaran: Okay, so what is okay, this one. Okay, this one, basically.

429 00:34:13.830 00:34:15.130 Miguel de Veyra: That’s what we’re doing now. Yeah.

430 00:34:15.139 00:34:17.489 Uttam Kumaran: Yeah, okay, well, I’ll I’m just gonna move this to

431 00:34:20.300 00:34:21.359 Miguel de Veyra: Done, probably

432 00:34:43.270 00:34:45.229 Uttam Kumaran: I’m gonna move this to

433 00:34:46.080 00:34:53.980 Uttam Kumaran: here. And I’m gonna I’m gonna basically relate this to. So what I can do is you command K and relate it to.

434 00:34:54.300 00:34:56.559 Uttam Kumaran: I’m going to say the data.

435 00:35:00.770 00:35:04.230 Uttam Kumaran: The discovery or data.

436 00:35:05.070 00:35:07.930 Uttam Kumaran: Yeah, this one. So it’s related to this one, right?

437 00:35:08.330 00:35:09.000 Miguel de Veyra: Okay.

438 00:35:14.480 00:35:20.641 Uttam Kumaran: cool. So I think 2 things for you. You should book these 2 meetings. Just add me to anything that way. I can help move it along

439 00:35:20.870 00:35:22.270 Miguel de Veyra: Should I also add amberda

440 00:35:24.850 00:35:29.600 Uttam Kumaran: No, I think the data one I wanted to just primarily be me and a wish

441 00:35:29.930 00:35:35.550 Uttam Kumaran: or me Oatian demalade operations you can just do with

442 00:35:36.048 00:35:47.399 Uttam Kumaran: oh, in terms of yeah, I guess you can include her if you’d like. You may be busy. But these are things that if one at least one of you is there? I would, I think you have to ultimately be there. 100.

443 00:35:47.923 00:35:52.626 Uttam Kumaran: However, you want to involve her on the pm. Side for this stuff. Feel free.

444 00:35:52.940 00:35:53.570 Miguel de Veyra: Okay.

445 00:35:54.620 00:35:57.319 Uttam Kumaran: But I sort of want you to start to begin to set the roadmap

446 00:35:57.630 00:36:04.640 Uttam Kumaran: and hear from the people what the problems are. And then basically, like, okay, we can build a dappier thing here. A Asian here thing blah blah

447 00:36:05.110 00:36:06.040 Miguel de Veyra: Okay. Okay.

448 00:36:07.700 00:36:12.989 Uttam Kumaran: Okay, cool and then tell me, how. How is it? What’s the deal with this one?

449 00:36:13.720 00:36:17.380 Uttam Kumaran: Oh, shit. Yeah, I haven’t. I have not looked into this yet. I have to look into that.

450 00:36:17.850 00:36:18.470 Uttam Kumaran: Okay.

451 00:36:18.800 00:36:20.689 Miguel de Veyra: I’ll try to finish it before I go to bed.

452 00:36:20.690 00:36:23.370 Uttam Kumaran: Okay, yeah, if you have a chance. I invited you to webflow

453 00:36:23.760 00:36:24.420 Miguel de Veyra: Yep. Yep.

454 00:36:24.640 00:36:26.779 Uttam Kumaran: Okay. All right. Anything else.

455 00:36:28.420 00:36:31.330 Miguel de Veyra: Oh, yeah, I have a quick question. Right? So, for example.

456 00:36:32.160 00:36:39.909 Miguel de Veyra: yeah, that’s just a list of people. For example, Casey or Jana, like we allocated times for them right?

457 00:36:39.910 00:36:40.560 Uttam Kumaran: Yeah.

458 00:36:40.730 00:36:44.490 Miguel de Veyra: What happens now, if, for example, they didn’t get it done

459 00:36:45.790 00:36:46.550 Uttam Kumaran: What do you mean?

460 00:36:46.810 00:36:52.690 Miguel de Veyra: Like, for example, for 3 h for ABC for this specific ticket, and then it goes back and they’re still not done

461 00:36:53.330 00:36:58.770 Uttam Kumaran: Then it. It either needs to go to. It either needs to escalate to me or you.

462 00:36:59.970 00:37:05.399 Uttam Kumaran: or it gets done. But then we basically have to have a conversation with them about like, hey need to move faster

463 00:37:05.920 00:37:06.930 Miguel de Veyra: Okay. Okay. Sure.

464 00:37:06.930 00:37:14.019 Uttam Kumaran: So like, for example, if they take a ticket, and it’s like, okay, we estimated it would take this amount of time. It took like 1 h extra. That’s fine.

465 00:37:14.320 00:37:18.719 Uttam Kumaran: But if people are taking like 2 or 3 times the amount of time, that’s a problem.

466 00:37:18.900 00:37:24.729 Uttam Kumaran: then it’s up to you as engineering leader to say, like, Okay, how do I? How do I help this person get more efficient?

467 00:37:25.220 00:37:29.830 Uttam Kumaran: Or you basically have to say, this is as efficient as this person gets. And we need new people

468 00:37:30.620 00:37:31.780 Miguel de Veyra: Okay, yeah, yeah.

469 00:37:32.990 00:37:34.059 Uttam Kumaran: You know. So

470 00:37:35.528 00:37:39.660 Uttam Kumaran: but the other thing is, for example, for this like, let’s take an example of this

471 00:37:40.210 00:37:44.430 Uttam Kumaran: through tomorrow. One of the things here is like, I want to be able to say

472 00:37:45.740 00:37:48.400 Uttam Kumaran: like have estimates here, so

473 00:37:49.120 00:37:53.689 Uttam Kumaran: I don’t think I we have estimates turned on. But let me just do that real quick.

474 00:38:04.350 00:38:06.839 Uttam Kumaran: yeah, issue estimation, Fibonacci.

475 00:38:14.810 00:38:24.190 Uttam Kumaran: So what we can do here is you can basically say, great. This is and do you remember I sent that like that that guide, or did I send it to you

476 00:38:25.380 00:38:28.970 Miguel de Veyra: Oh, I don’t remember. I don’t think so.

477 00:38:29.080 00:38:30.380 Miguel de Veyra: This is what may I

478 00:38:31.410 00:38:33.700 Uttam Kumaran: No, here, I’m just gonna send this.

479 00:38:38.160 00:38:40.230 Uttam Kumaran: Let me send it to engineering

480 00:39:06.994 00:39:09.240 Miguel de Veyra: Yeah, yeah, this one. I have not seen this. Okay.

481 00:39:09.340 00:39:11.840 Miguel de Veyra: let me save this. I’ll PIN this somewhere

482 00:39:17.550 00:39:21.390 Uttam Kumaran: So I so like, given this one. It’s probably like a

483 00:39:21.870 00:39:23.860 Uttam Kumaran: 2, or it’s like a probably a 2

484 00:39:25.220 00:39:25.820 Miguel de Veyra: Yeah.

485 00:39:30.110 00:39:32.769 Uttam Kumaran: Right. It’s probably it’s probably gonna take less than 3 h.

486 00:39:37.920 00:39:39.010 Uttam Kumaran: What do you think

487 00:39:39.210 00:39:40.830 Miguel de Veyra: Yeah. Yeah. Sorry. Can you hear me?

488 00:39:41.180 00:39:42.260 Uttam Kumaran: Yeah, yeah, I can hear you.

489 00:39:42.260 00:39:44.459 Miguel de Veyra: Okay, yeah, it’s probably gonna take less than 3 h

490 00:39:44.460 00:39:45.290 Uttam Kumaran: Okay. Cool.

491 00:39:47.940 00:39:48.780 Uttam Kumaran: Okay.

492 00:39:49.350 00:39:50.190 Miguel de Veyra: Okay, yeah, I think.

493 00:39:50.190 00:39:50.570 Uttam Kumaran: Feel good.

494 00:39:51.140 00:39:52.130 Miguel de Veyra: Yes, sir.

495 00:39:53.710 00:39:54.930 Uttam Kumaran: Okay, what do you think?

496 00:39:56.380 00:40:05.829 Miguel de Veyra: Yeah, I think we should probably had have had this meeting earlier this week. So but yeah, now I understand clearly what I need to do, because I was like a bit of the dark

497 00:40:06.300 00:40:10.900 Uttam Kumaran: So I think one of the other things is we want to start running sprints for this team as well

498 00:40:12.000 00:40:16.830 Uttam Kumaran: or cycles. So we’re gonna have a cycle for the ABC. Team and a cycle for this team

499 00:40:17.116 00:40:22.560 Miguel de Veyra: Yeah, yeah, we I discussed it with amber earlier. I just said, I want to finalize some stuff

500 00:40:22.560 00:40:25.270 Uttam Kumaran: I want to come to every meeting that this team does

501 00:40:26.310 00:40:26.930 Miguel de Veyra: Okay. Okay.

502 00:40:26.930 00:40:29.060 Uttam Kumaran: This is my, this is my number. This is like.

503 00:40:29.170 00:40:32.509 Uttam Kumaran: so top of mind for me is getting this stuff to work

504 00:40:35.980 00:40:37.560 Uttam Kumaran: So, yeah.

505 00:40:39.440 00:40:40.150 Miguel de Veyra: Okay. Yeah.

506 00:40:40.150 00:40:45.120 Uttam Kumaran: Okay, cool dude. Thank you. Appreciate thanks for the hustle on this, and then message me if you need anything

507 00:40:45.520 00:40:46.740 Miguel de Veyra: Okay, thanks for Tom. Have a good one.

508 00:40:47.160 00:40:48.570 Uttam Kumaran: Thank you. Bye.