Meeting Title: AI Service Standup Date: 2026-02-23 Meeting participants: Casie Aviles, Mustafa Raja, Samuel Roberts, Gabriel Lam, Uttam Kumaran
WEBVTT
1 00:00:48.050 ⇒ 00:00:48.840 Mustafa Raja: 8.
2 00:00:52.780 ⇒ 00:00:53.830 Casie Aviles: Hey, Masafa.
3 00:00:54.430 ⇒ 00:00:55.220 Mustafa Raja: How are you?
4 00:00:56.540 ⇒ 00:00:57.630 Casie Aviles: Yeah, doing good.
5 00:00:58.720 ⇒ 00:00:59.640 Mustafa Raja: Nice.
6 00:01:01.440 ⇒ 00:01:02.230 Samuel Roberts: Blow.
7 00:01:02.960 ⇒ 00:01:03.860 Mustafa Raja: Hey, how are you?
8 00:01:04.530 ⇒ 00:01:06.040 Samuel Roberts: Doing alright, how are y’all?
9 00:01:06.720 ⇒ 00:01:10.760 Mustafa Raja: Good. How’s the… how’s the… Vacation.
10 00:01:11.460 ⇒ 00:01:14.890 Samuel Roberts: It was nice, it was nice. Florida, the weather was beautiful.
11 00:01:15.600 ⇒ 00:01:16.760 Mustafa Raja: Are you in Canada?
12 00:01:16.760 ⇒ 00:01:17.280 Samuel Roberts: Beautiful.
13 00:01:17.420 ⇒ 00:01:23.949 Samuel Roberts: Yeah, my parents are down there, so we went down for the weekend and took the baby, and they were very excited to see him, so…
14 00:01:24.120 ⇒ 00:01:24.889 Mustafa Raja: Oh, nice.
15 00:01:25.370 ⇒ 00:01:26.719 Samuel Roberts: It was very nice, yeah.
16 00:01:27.390 ⇒ 00:01:31.250 Samuel Roberts: But we hadn’t flown with him yet, so that was kind of a big mystery.
17 00:01:34.420 ⇒ 00:01:38.000 Samuel Roberts: It was… it was fine. He did really well.
18 00:01:39.170 ⇒ 00:01:39.840 Mustafa Raja: Nice.
19 00:01:40.520 ⇒ 00:01:43.819 Samuel Roberts: Yeah, you know, he slept, he didn’t really scream, you know.
20 00:01:44.430 ⇒ 00:01:47.919 Samuel Roberts: It, he, he did… he’s a, he’s a pretty chill baby, so…
21 00:01:49.330 ⇒ 00:01:49.930 Mustafa Raja: Nice.
22 00:01:53.470 ⇒ 00:01:54.190 Samuel Roberts: Okay.
23 00:02:03.230 ⇒ 00:02:04.340 Samuel Roberts: Hey, Gabe.
24 00:02:05.530 ⇒ 00:02:06.790 Gabriel Lam: Morning.
25 00:02:07.400 ⇒ 00:02:08.300 Samuel Roberts: Morning.
26 00:02:09.479 ⇒ 00:02:11.480 Gabriel Lam: How was your holiday?
27 00:02:12.050 ⇒ 00:02:20.599 Samuel Roberts: It was really nice. Yeah, the weather down in Florida was beautiful. I was just saying that the baby flew fine on the airplane, nothing crazy.
28 00:02:21.200 ⇒ 00:02:23.180 Samuel Roberts: So, pretty nice weekend.
29 00:02:25.010 ⇒ 00:02:27.490 Gabriel Lam: Is there a winter storm in Ohio as well?
30 00:02:28.340 ⇒ 00:02:30.100 Samuel Roberts: We got some,
31 00:02:30.400 ⇒ 00:02:41.920 Samuel Roberts: like, lake effect snow, but I don’t… I don’t know if it’s related to that big storm or not. I mean, the storm seemed huge, so it probably was not unrelated, but it didn’t affect our flight, at least, but my,
32 00:02:42.070 ⇒ 00:02:52.629 Samuel Roberts: my sister and some friends of hers were down there from the New York area, and they all are now still down there, pretty much, and will be stuck there till, like, Thursday, I think. So…
33 00:02:53.230 ⇒ 00:02:55.400 Gabriel Lam: I think one of her friends had to get back.
34 00:02:55.400 ⇒ 00:03:03.559 Samuel Roberts: so urgently, and her flight got canceled, that she, from, like, around just south of Tampa.
35 00:03:03.970 ⇒ 00:03:08.480 Samuel Roberts: Drove up to Orlando, flew to Baltimore, took a train to New York.
36 00:03:08.820 ⇒ 00:03:12.859 Samuel Roberts: Which I was like, wow, you really have to get back. And she did, yeah.
37 00:03:13.060 ⇒ 00:03:15.619 Gabriel Lam: We have a friend of ours staying over, and…
38 00:03:16.160 ⇒ 00:03:19.630 Gabriel Lam: all the Amtraks are basically canceled till tomorrow, so…
39 00:03:19.630 ⇒ 00:03:24.129 Samuel Roberts: Oh, I bet, at this point, yeah, it’s gotta be. Yeah. Oh, man.
40 00:03:26.530 ⇒ 00:03:37.759 Samuel Roberts: Yeah, it’s, I didn’t realize quite how big it was gonna be, but then I started seeing everything. I, like, I think there was one day where someone was like, oh yeah, you should check the weather, and I was like, oh yeah, I guess I should. And I was like, oh, no, I really, I really needed to.
41 00:03:37.960 ⇒ 00:03:40.850 Samuel Roberts: But… Everything was good here, so…
42 00:03:42.610 ⇒ 00:03:46.410 Samuel Roberts: How about you all? How was the end of the week? How was the weekend?
43 00:03:48.180 ⇒ 00:03:49.540 Samuel Roberts: Anything exciting?
44 00:03:53.160 ⇒ 00:03:57.419 Mustafa Raja: For me, it was pretty normal. The weekend was pretty normal, as usual.
45 00:03:57.420 ⇒ 00:04:00.530 Samuel Roberts: Yeah. Spent the time with family and stuff.
46 00:04:00.740 ⇒ 00:04:01.500 Mustafa Raja: That’s fine.
47 00:04:01.500 ⇒ 00:04:07.020 Samuel Roberts: Nice, nice, nice, yeah, it’s always… Cool.
48 00:04:07.760 ⇒ 00:04:13.679 Samuel Roberts: Alright, well, what are we at? Title 3, we waiting on… I don’t think Pranav is here today.
49 00:04:13.680 ⇒ 00:04:14.810 Gabriel Lam: It’s out of office.
50 00:04:15.220 ⇒ 00:04:23.410 Samuel Roberts: Yeah, okay. And then… Okay. Yeah, I guess let’s just jump in. Let’s talk,
51 00:04:24.560 ⇒ 00:04:34.539 Samuel Roberts: I guess let’s talk Lilo, then, because we’re not going to get off. So, how did that all go? What’s the current… catch me up to date. I’m just going through Slack and everything right now, so I’m kind of playing catch-up, but…
52 00:04:34.540 ⇒ 00:04:40.319 Casie Aviles: Yeah… Well, last Friday, it was just…
53 00:04:40.920 ⇒ 00:04:49.079 Casie Aviles: we didn’t really, like, I… I didn’t… I wasn’t there with the client when we met… when they met. Okay. It was just between Utam…
54 00:04:49.340 ⇒ 00:04:53.050 Casie Aviles: Brnov and, I believe, Bobby.
55 00:04:53.490 ⇒ 00:04:54.650 Samuel Roberts: Okay.
56 00:04:54.650 ⇒ 00:05:02.110 Casie Aviles: They were… we’re kind of going through some major, like, I don’t know, like, realignment.
57 00:05:02.630 ⇒ 00:05:04.179 Samuel Roberts: Okay.
58 00:05:05.140 ⇒ 00:05:12.380 Casie Aviles: Yeah, what else? Like, like, so, right now, it’s not super clear yet what, what… should be done.
59 00:05:12.790 ⇒ 00:05:13.250 Samuel Roberts: That’s what I was.
60 00:05:14.900 ⇒ 00:05:23.050 Casie Aviles: But what we had, like, last Friday, we just basically merged some of the open PRs that we had. I haven’t…
61 00:05:23.170 ⇒ 00:05:25.370 Casie Aviles: merge the one that Bobby just…
62 00:05:26.350 ⇒ 00:05:31.199 Casie Aviles: Submitted last week, so I’ll probably take a look at that.
63 00:05:31.440 ⇒ 00:05:40.000 Casie Aviles: Today, Okay. And, I think, yeah, that was really it. We didn’t really have, like, a…
64 00:05:40.100 ⇒ 00:05:46.979 Casie Aviles: a new roadmap or Gantt chart yet, so I’m not too sure what’s next there.
65 00:05:47.820 ⇒ 00:05:55.890 Casie Aviles: Yeah, I just forgot that Akshranov was out today, so we probably… we might not be able to sync on that today, but…
66 00:05:56.600 ⇒ 00:06:00.130 Samuel Roberts: Okay. Alright, I’ll try to play a little catch-up with some of them.
67 00:06:00.440 ⇒ 00:06:10.030 Samuel Roberts: meetings and stuff, then understand what’s happening, but okay. Then I guess we’re kind of a little bit of a holding pattern there. Yeah, take a look at that PR, let me… I guess let me know what… how it looks.
68 00:06:12.560 ⇒ 00:06:13.780 Samuel Roberts: Cool, alright.
69 00:06:14.200 ⇒ 00:06:16.670 Samuel Roberts: I’ll get up to speed there, then.
70 00:06:17.060 ⇒ 00:06:20.090 Samuel Roberts: And then on ABC…
71 00:06:21.890 ⇒ 00:06:22.300 Casie Aviles: Yep.
72 00:06:23.110 ⇒ 00:06:24.870 Casie Aviles: Okay. Yeah, for… Okay.
73 00:06:25.000 ⇒ 00:06:31.019 Casie Aviles: for ABC, at least for the zip code validation, I’m just wrapping up on…
74 00:06:32.080 ⇒ 00:06:40.230 Casie Aviles: There’s just 2 more sheets. We added another one since they were mentioning that there’s missing…
75 00:06:41.650 ⇒ 00:06:49.039 Casie Aviles: what do you call this assignment? So that would just be the inspector sheet, so once that’s done, that should be done early this week, and then…
76 00:06:49.250 ⇒ 00:06:58.669 Casie Aviles: After that, I would like for the team to have, like, another, like, review of everything, because…
77 00:06:58.860 ⇒ 00:07:03.950 Casie Aviles: Given that, you know, the… source spreadsheets are not very normalized, we still need.
78 00:07:03.950 ⇒ 00:07:04.480 Samuel Roberts: Yeah.
79 00:07:04.690 ⇒ 00:07:12.289 Casie Aviles: Take a look for any gaps that will, that will exist. So, another pass at that would be good.
80 00:07:12.750 ⇒ 00:07:14.299 Samuel Roberts: Okay, that’s smart, yeah.
81 00:07:14.300 ⇒ 00:07:15.889 Casie Aviles: For this week, that should be…
82 00:07:16.040 ⇒ 00:07:22.650 Casie Aviles: Should be our… that should be, my priority, at least, and then… Also, we have to, like.
83 00:07:23.270 ⇒ 00:07:25.579 Casie Aviles: That’s the querying part.
84 00:07:26.040 ⇒ 00:07:33.049 Casie Aviles: So… I’m thinking about, like, an automated, like.
85 00:07:34.510 ⇒ 00:07:40.780 Casie Aviles: test that would just, you know, have the AI run through a given a set of questions, and then it’s gonna generate
86 00:07:41.620 ⇒ 00:07:46.699 Casie Aviles: a response for each, question, so I’m compiling, like.
87 00:07:46.800 ⇒ 00:07:50.400 Casie Aviles: The questions that can be asked for each, like, department.
88 00:07:51.220 ⇒ 00:07:54.289 Samuel Roberts: Okay, cool. So yeah, specifically for zip stuff, okay.
89 00:07:54.650 ⇒ 00:07:57.180 Casie Aviles: Yeah, so I think that’s, that’s,
90 00:07:57.340 ⇒ 00:08:02.089 Casie Aviles: what will be done, so I’ll ask the team for some review, some help on reviewing everything.
91 00:08:02.090 ⇒ 00:08:02.860 Samuel Roberts: Perfect.
92 00:08:02.860 ⇒ 00:08:08.200 Casie Aviles: So we can… Let them know that, we’ve done the… Checks.
93 00:08:10.320 ⇒ 00:08:10.880 Samuel Roberts: Okay.
94 00:08:13.160 ⇒ 00:08:14.569 Mustafa Raja: Yeah, apart from…
95 00:08:15.880 ⇒ 00:08:24.290 Mustafa Raja: Yeah. Yeah, so apart from that, for the Central Docs, last week I didn’t really get to work on that. I was working a lot on…
96 00:08:24.650 ⇒ 00:08:27.699 Mustafa Raja: Eden, but that’s going to be my priority this week.
97 00:08:28.600 ⇒ 00:08:29.160 Samuel Roberts: Okay.
98 00:08:31.020 ⇒ 00:08:33.360 Samuel Roberts: Yeah, so I’m just pulling up. Okay.
99 00:08:34.870 ⇒ 00:08:40.369 Casie Aviles: Yeah, for this week, we… I guess our target for the central docs work would be the…
100 00:08:41.260 ⇒ 00:08:43.709 Casie Aviles: The structure, right, that we discussed.
101 00:08:43.950 ⇒ 00:08:45.910 Samuel Roberts: Yeah, yeah, that, yeah.
102 00:08:46.730 ⇒ 00:08:49.580 Samuel Roberts: Okay, yep, getting that new structure in place. Okay.
103 00:08:50.870 ⇒ 00:08:59.580 Uttam Kumaran: Anywhere I can support on ABC this week, guys, I’m, like, a little bit less on Element, so I have, like, probably a few hours.
104 00:09:02.810 ⇒ 00:09:03.670 Samuel Roberts: Mmm…
105 00:09:05.020 ⇒ 00:09:07.309 Casie Aviles: Yeah, probably the central dog.
106 00:09:07.310 ⇒ 00:09:10.110 Samuel Roberts: Yeah, that’s probably… yeah, I don’t think that anything else makes sense.
107 00:09:12.940 ⇒ 00:09:17.549 Samuel Roberts: Yeah, maybe we wanna, get together on that, maybe, or just skip, like, a…
108 00:09:18.050 ⇒ 00:09:22.970 Samuel Roberts: a little chat, like, you mean, Mustafa, maybe, on what he’s working on, maybe we can try to split that up a little bit, maybe?
109 00:09:23.670 ⇒ 00:09:25.020 Uttam Kumaran: Okay, okay.
110 00:09:27.880 ⇒ 00:09:28.790 Samuel Roberts: Excuse me.
111 00:09:29.300 ⇒ 00:09:32.740 Samuel Roberts: Was there any movement with transcript stuff?
112 00:09:34.550 ⇒ 00:09:35.550 Samuel Roberts: End of the week?
113 00:09:39.150 ⇒ 00:09:41.579 Samuel Roberts: Nothing for me, yeah. Okay.
114 00:09:41.800 ⇒ 00:09:46.659 Samuel Roberts: Okay. Yeah. I’ll try to connect with Amber and see what that is, status-wise.
115 00:09:47.730 ⇒ 00:09:48.270 Samuel Roberts: Okay.
116 00:09:48.270 ⇒ 00:09:50.960 Uttam Kumaran: I guess, like, tell me where we ended up, we landed it all.
117 00:09:51.910 ⇒ 00:10:04.249 Samuel Roberts: Yeah, so I got, like, a day of stuff in there, I think, and I have, and it’s in, basically, like, two… there’s a table, it’s two big columns, and then a little bit of other metadata that I put in, but I…
118 00:10:04.250 ⇒ 00:10:07.879 Uttam Kumaran: Okay, okay, so there’s some modeling that probably needs to happen for Amber to use it.
119 00:10:08.370 ⇒ 00:10:17.150 Samuel Roberts: Yeah, and I just wasn’t sure. Right now, the… it’s two entries, I think, per conversation as well, so, like, to combine those into one transcript,
120 00:10:17.250 ⇒ 00:10:24.620 Samuel Roberts: needs to happen, because it’s all… each word is broken out by, like, time and confidence level and all the stuff that they’re transcribing did.
121 00:10:25.150 ⇒ 00:10:35.469 Samuel Roberts: But it’s all in there for that one day, and I have downloaded metadata for all of January, which took a minute, but it’s, like, ready to potentially then bulk download and upload the actual transcript.
122 00:10:35.470 ⇒ 00:10:38.159 Uttam Kumaran: How long… how long is, like, one month?
123 00:10:38.850 ⇒ 00:10:40.940 Uttam Kumaran: Worth of data gonna take the load?
124 00:10:41.390 ⇒ 00:10:55.619 Samuel Roberts: Yeah, I was trying to do some math on that, because I was trying to push the bulk endpoint. Let me… hold on, I’m still getting certain things open on my computer again. Let me see what my conversation with Codex said, because I was doing some quick math on that, because it was taking…
125 00:10:56.140 ⇒ 00:11:00.560 Samuel Roberts: A number, like, several minutes to get each one of those downloads to go.
126 00:11:00.820 ⇒ 00:11:06.990 Samuel Roberts: You’d have to, like, request the bulk download, it then…
127 00:11:07.340 ⇒ 00:11:14.220 Samuel Roberts: you have to then keep checking that endpoint to see if it’s done, and that took upwards of, like, 2-3 minutes, I think, for,
128 00:11:14.890 ⇒ 00:11:18.699 Samuel Roberts: I forget how many that was, like, a thousand.
129 00:11:19.210 ⇒ 00:11:19.880 Uttam Kumaran: Okay.
130 00:11:19.880 ⇒ 00:11:22.010 Samuel Roberts: And we’re looking at, let me see…
131 00:11:22.010 ⇒ 00:11:23.229 Uttam Kumaran: 40,000 a month.
132 00:11:23.830 ⇒ 00:11:28.399 Samuel Roberts: Something like that, is that what the number was? I truly don’t know.
133 00:11:28.400 ⇒ 00:11:30.499 Uttam Kumaran: Yeah, it’s usually, like, 40 to 60.
134 00:11:31.020 ⇒ 00:11:32.060 Samuel Roberts: Okay, yeah.
135 00:11:32.320 ⇒ 00:11:36.920 Samuel Roberts: So, it took a little while, I did some quick math here, where is it?
136 00:11:39.650 ⇒ 00:11:40.540 Samuel Roberts: Okay.
137 00:11:41.730 ⇒ 00:11:43.870 Samuel Roberts: Sorry, Codex is being slow.
138 00:11:47.850 ⇒ 00:11:48.650 Samuel Roberts: Yeah.
139 00:11:48.870 ⇒ 00:11:51.639 Samuel Roberts: So, I mean, if we just let that run, it’s not gonna be, you know…
140 00:11:52.060 ⇒ 00:11:56.220 Samuel Roberts: 21 batches, 18 batches, it took, like, an hour…
141 00:11:56.580 ⇒ 00:12:00.739 Samuel Roberts: Yeah, and I started adding some, like, concurrency and stuff to it, trying to reduce that.
142 00:12:00.940 ⇒ 00:12:07.889 Samuel Roberts: After basically testing it out, but I don’t really know what the 8x8 API can handle, because the docs aren’t very clear, so…
143 00:12:10.420 ⇒ 00:12:13.690 Samuel Roberts: I can get a little firmer number on that, though, now that I’m looking at it here.
144 00:12:16.340 ⇒ 00:12:22.250 Samuel Roberts: But yeah, I figured we needed to play with that, like, you know, thousands of rows that are already there for one day kind of thing before we…
145 00:12:22.520 ⇒ 00:12:27.329 Samuel Roberts: Are ready for all of it, but once we get that modeled, or, you know, the model in place.
146 00:12:28.490 ⇒ 00:12:30.189 Samuel Roberts: We should be good to just run this.
147 00:12:30.550 ⇒ 00:12:31.730 Samuel Roberts: Excuse me.
148 00:12:33.250 ⇒ 00:12:36.609 Samuel Roberts: Alright, anything else ABC-wise, then?
149 00:12:37.490 ⇒ 00:12:38.040 Uttam Kumaran: Okay.
150 00:12:41.120 ⇒ 00:12:42.930 Casie Aviles: Yep, I think that’s all I have for ABC.
151 00:12:42.930 ⇒ 00:12:46.410 Samuel Roberts: Okay, cool. Alright, then, jumping to, like, internal platform stuff?
152 00:12:47.730 ⇒ 00:12:49.079 Gabriel Lam: Yeah,
153 00:12:49.250 ⇒ 00:12:56.149 Gabriel Lam: I already shared with the rest of the team, but Sam, I will be, winding things down, so, happy to…
154 00:12:56.480 ⇒ 00:13:02.860 Gabriel Lam: catch up with you about everything there. Essentially linear, in terms of linear automations.
155 00:13:03.180 ⇒ 00:13:10.139 Gabriel Lam: I have… It’s set up so that the… there’s this… sorry.
156 00:13:10.480 ⇒ 00:13:19.010 Gabriel Lam: I’ve tested it so that With the webhook of New Meetings, we’re able to generate a message, like…
157 00:13:19.300 ⇒ 00:13:26.470 Gabriel Lam: a message from the Brainforge assistant, in this case for me, just to test it out. I haven’t yet been able to attach it to the dev app.
158 00:13:26.870 ⇒ 00:13:29.349 Gabriel Lam: So this is me sort of manually
159 00:13:29.460 ⇒ 00:13:34.690 Gabriel Lam: getting it there. I would love to check in with you about how to actually link it to the…
160 00:13:36.680 ⇒ 00:13:42.779 Gabriel Lam: Or whether we can merge it into the… to main, and then have that run, and then see where that goes.
161 00:13:43.080 ⇒ 00:13:49.499 Gabriel Lam: I also wanted to talk about the HubSpot PRD that Robert had.
162 00:13:49.500 ⇒ 00:13:50.180 Samuel Roberts: Yep.
163 00:13:50.180 ⇒ 00:13:53.990 Gabriel Lam: it sounds like… the… he had…
164 00:13:54.190 ⇒ 00:14:02.260 Gabriel Lam: in the PRD, he talks about using an MCP for HubSpot to write nudge documenta- or nudge messages.
165 00:14:02.990 ⇒ 00:14:04.800 Gabriel Lam: If we’re querying.
166 00:14:05.000 ⇒ 00:14:11.700 Gabriel Lam: sort of on schedule, I’m not sure if an MCP is the best way, or whether there’s a sort of, like, even pre…
167 00:14:11.700 ⇒ 00:14:12.380 Samuel Roberts: Yeah.
168 00:14:12.850 ⇒ 00:14:16.600 Gabriel Lam: like, a pre-V0 proof of concept to, like…
169 00:14:16.600 ⇒ 00:14:17.220 Samuel Roberts: Okay.
170 00:14:17.400 ⇒ 00:14:19.330 Gabriel Lam: Whether it’s, like, you know.
171 00:14:19.780 ⇒ 00:14:26.789 Gabriel Lam: send Rico a message to, like, remind him what he needs to put into an MCP to then, you know, go there. I have…
172 00:14:26.790 ⇒ 00:14:27.190 Samuel Roberts: on board.
173 00:14:27.190 ⇒ 00:14:32.500 Gabriel Lam: Rodrigo, so he is… Like, he has everything set up, and…
174 00:14:32.970 ⇒ 00:14:37.149 Gabriel Lam: Even if we’re just able to give him, like, a… Cursor prompt, like…
175 00:14:37.150 ⇒ 00:14:41.440 Samuel Roberts: that’s all said. That’s all ready to go. But in terms of the deeper technical execution.
176 00:14:42.610 ⇒ 00:14:44.979 Gabriel Lam: I’m not sure… what’s…
177 00:14:46.440 ⇒ 00:14:49.950 Gabriel Lam: I’m not sure if an MCP is the way to go there, and it might be a bigger lift than…
178 00:14:50.260 ⇒ 00:14:51.509 Gabriel Lam: The PRD suggests.
179 00:14:52.530 ⇒ 00:14:57.220 Samuel Roberts: Okay, yeah, I’ll take a look. I saw his post, I haven’t actually dug into the PRD yet, but I will do that today.
180 00:14:57.330 ⇒ 00:14:58.350 Samuel Roberts: And then yeah.
181 00:14:58.350 ⇒ 00:14:58.970 Gabriel Lam: Yeah, true.
182 00:14:58.970 ⇒ 00:15:00.020 Samuel Roberts: time later.
183 00:15:00.690 ⇒ 00:15:06.989 Gabriel Lam: Yeah, then, on the other hand, the, got some feedback on the GitHub 101,
184 00:15:06.990 ⇒ 00:15:07.740 Samuel Roberts: Okay.
185 00:15:07.740 ⇒ 00:15:13.529 Gabriel Lam: I… I can make edits to that. The… the main thing was, I don’t think a lot of people actually have
186 00:15:14.920 ⇒ 00:15:22.540 Gabriel Lam: a lot of packages set up the way we did, and so when I was running it through, they were like, oh, Git’s not working, or like, I don’t have CLIs for Git.
187 00:15:22.540 ⇒ 00:15:28.110 Uttam Kumaran: Yeah, same, initially we… initially, we said… we said we were just gonna put, like, a… we could just put a bash script…
188 00:15:28.290 ⇒ 00:15:28.840 Uttam Kumaran: into the.
189 00:15:28.840 ⇒ 00:15:29.240 Samuel Roberts: repo.
190 00:15:29.240 ⇒ 00:15:30.060 Uttam Kumaran: Oh, right?
191 00:15:30.540 ⇒ 00:15:36.709 Samuel Roberts: For CLIs, I think we can, yeah. The MCPs are easy with the cursor setup, but the CLIs, we could just run something, yeah.
192 00:15:37.090 ⇒ 00:15:38.689 Uttam Kumaran: Yeah. So maybe what we can…
193 00:15:38.690 ⇒ 00:15:40.139 Gabriel Lam: My solution has been, like.
194 00:15:40.430 ⇒ 00:15:44.210 Gabriel Lam: get them to install GitHub Desktop, and that’s been an easier way to, like, fetch.
195 00:15:44.350 ⇒ 00:15:45.510 Gabriel Lam: And then…
196 00:15:45.510 ⇒ 00:15:47.060 Samuel Roberts: Yeah, I, I, yeah, we talked about that.
197 00:15:47.060 ⇒ 00:15:47.400 Gabriel Lam: by.
198 00:15:47.400 ⇒ 00:15:51.150 Samuel Roberts: I don’t use it that way, so we might want to make another walkthrough of that if you’re…
199 00:15:51.150 ⇒ 00:15:51.520 Uttam Kumaran: Yeah.
200 00:15:51.520 ⇒ 00:16:01.969 Gabriel Lam: Yeah, or using both at the same time, because I think the way you have it set up is really helpful for doing commits and PRs, but it’s the, like, actual setup part where people are…
201 00:16:01.980 ⇒ 00:16:06.459 Uttam Kumaran: faulting. Well, that’s also the thing, I feel like the solve here, Gabe, is actually just, like.
202 00:16:06.660 ⇒ 00:16:17.880 Uttam Kumaran: you… we could just have a… you could just do it… we have a setup script, because there’s a lot of packages that people need to set up on their machine in addition to GitHub, like, some people won’t have brew, like, they won’t have Homebrew.
203 00:16:18.340 ⇒ 00:16:19.660 Uttam Kumaran: Yeah, so…
204 00:16:19.800 ⇒ 00:16:27.999 Uttam Kumaran: One thing that we can do, and if you want to try this, you can just create a PR that’s, like, just ask Cursor to help you create that setup script.
205 00:16:28.370 ⇒ 00:16:30.530 Uttam Kumaran: And leave it in the platform.
206 00:16:30.680 ⇒ 00:16:36.960 Uttam Kumaran: And then any… what we can basically do is, like, whenever anyone sets up a fresh cursor instance, they just run that script.
207 00:16:38.000 ⇒ 00:16:38.869 Uttam Kumaran: You know.
208 00:16:39.220 ⇒ 00:16:44.010 Uttam Kumaran: And it’ll install everything, and then if there’s any other system configs we needed to do, we can do it.
209 00:16:46.810 ⇒ 00:16:47.130 Samuel Roberts: Yeah.
210 00:16:47.550 ⇒ 00:16:49.250 Samuel Roberts: Are most people, like, what…
211 00:16:49.530 ⇒ 00:16:54.150 Samuel Roberts: are people on Windows versus Mac? Like, what is… do we have a sense of… different setups.
212 00:16:54.450 ⇒ 00:16:56.599 Samuel Roberts: Versus, like… the subsystem.
213 00:16:56.600 ⇒ 00:16:59.379 Uttam Kumaran: Most people are when… most people are Mac.
214 00:16:59.880 ⇒ 00:17:00.560 Samuel Roberts: Okay.
215 00:17:00.960 ⇒ 00:17:04.259 Uttam Kumaran: Most people, I think. Yeah, there’s…
216 00:17:04.260 ⇒ 00:17:05.899 Gabriel Lam: Also, a couple…
217 00:17:06.490 ⇒ 00:17:17.029 Gabriel Lam: I mean, this is, like, very minimal, but there’s some file names that are really long, and I think Mac handles file names differently to Windows, so with Ricoh specifically, I was like, hey.
218 00:17:17.240 ⇒ 00:17:24.020 Gabriel Lam: here’s the fix, but, I think this is gonna be an edge case, as opposed to… The dorm.
219 00:17:24.280 ⇒ 00:17:33.629 Samuel Roberts: But that’s just, like, a Git config change, or something along those lines? Yeah, pretty much. It’s a good config change. Yeah, that can probably be… that could probably be in the script, too, and just check if it’s Windows and run that config.
220 00:17:35.009 ⇒ 00:17:36.799 Samuel Roberts: I would include that as well, then.
221 00:17:37.419 ⇒ 00:17:44.509 Samuel Roberts: But yeah, I was just making sure, yeah, I mean, we can have a script that can just check the OS and run slightly differently if we need to.
222 00:17:45.049 ⇒ 00:17:50.329 Samuel Roberts: I just didn’t know if it was… how big a deal it was, so it doesn’t sound crazy big, but also, like, if it’s just that…
223 00:17:50.469 ⇒ 00:17:52.229 Samuel Roberts: Kind of thing, we should be alright.
224 00:17:52.749 ⇒ 00:17:54.679 Samuel Roberts: Okay.
225 00:17:55.479 ⇒ 00:17:57.979 Samuel Roberts: Alright, yeah, Gabe, let’s definitely grab some time later.
226 00:17:57.980 ⇒ 00:17:58.510 Gabriel Lam: Yep.
227 00:18:00.200 ⇒ 00:18:00.870 Samuel Roberts: Cool.
228 00:18:01.570 ⇒ 00:18:05.680 Gabriel Lam: I think those two are the… the main,
229 00:18:06.060 ⇒ 00:18:08.560 Gabriel Lam: Or those 3 are the main things, right?
230 00:18:10.050 ⇒ 00:18:10.620 Samuel Roberts: Okay.
231 00:18:12.190 ⇒ 00:18:17.589 Samuel Roberts: Alright, yeah, I was gonna read through the PRD after this anyway, so I’ll be up to speed there.
232 00:18:18.710 ⇒ 00:18:20.550 Samuel Roberts: Excuse me.
233 00:18:21.800 ⇒ 00:18:28.930 Samuel Roberts: I will also, again, be traveling this weekend. So Friday and Monday, I’ll be flying.
234 00:18:29.050 ⇒ 00:18:35.050 Samuel Roberts: out to Arizona for… The first of, what is, like, 5 weddings in the next few months?
235 00:18:35.050 ⇒ 00:18:35.939 Uttam Kumaran: Oh my gosh.
236 00:18:35.940 ⇒ 00:18:40.310 Samuel Roberts: Yeah, it’s insane. Like, when we sat down to look at the year, it was…
237 00:18:40.660 ⇒ 00:18:47.499 Samuel Roberts: 5 weddings and several of these, like, other sorts of weekends, and I’m like, oh, when we have a baby, this is…
238 00:18:48.190 ⇒ 00:18:56.350 Samuel Roberts: different than it used to be. And I’m also, like, mid-30s, I shouldn’t be going to this many weddings anymore. This was, like, a 20s kind of thing.
239 00:18:57.680 ⇒ 00:18:58.940 Samuel Roberts: We’re making it work.
240 00:18:59.250 ⇒ 00:19:03.590 Samuel Roberts: So… Yeah.
241 00:19:05.330 ⇒ 00:19:13.789 Samuel Roberts: Anyway, I just wanted to give you all a heads up, we’ll sort it out towards, Wednesday or Thursday, make sure everyone’s, ready for me to be…
242 00:19:14.510 ⇒ 00:19:17.059 Samuel Roberts: Missing again.
243 00:19:17.400 ⇒ 00:19:23.520 Samuel Roberts: It’s a lot longer of a flight to Arizona, too, so I’m hoping the baby’s as good as he was on these ones, but we’ll see.
244 00:19:23.980 ⇒ 00:19:31.719 Uttam Kumaran: Well, go ahead, if you need… if you want Wi-Fi to be distracted and do any work, feel free to buy it, and just send me the bill, so…
245 00:19:31.720 ⇒ 00:19:37.739 Samuel Roberts: That, yeah, we’ll see. That actually might not be a bad idea, I don’t know, I’m not even sure if we’re flying on, but yeah, we’ll see, we’ll see, we’ll see.
246 00:19:40.300 ⇒ 00:19:43.890 Uttam Kumaran: I found that, like, working on a flight is so… it just helps me, like.
247 00:19:44.380 ⇒ 00:19:47.380 Uttam Kumaran: Like, the flight just skips. Like, it’s great.
248 00:19:47.380 ⇒ 00:20:03.319 Samuel Roberts: Yeah, yeah, I try to distract… it’s really interesting, because, like, sometimes on a plane, I’m just, like, ready to, like, you know, do something, and sometimes the vibrations lull me to sleep, and I try to read a book, and I just can’t even focus. So we’ll see what kind of flights these are when I get on.
249 00:20:03.320 ⇒ 00:20:04.130 Uttam Kumaran: Okay.
250 00:20:04.130 ⇒ 00:20:08.129 Samuel Roberts: It kind of goes one of two ways, but… Sounds good. Cool.
251 00:20:08.650 ⇒ 00:20:14.090 Samuel Roberts: Any other thoughts? Any other… any other things I missed that I need to be aware of, or…
252 00:20:14.090 ⇒ 00:20:20.039 Uttam Kumaran: Yeah, maybe also, Gabe, you can send… I saw your note from this morning, maybe you can send that to me and Sam, just so Sam’s aware.
253 00:20:20.500 ⇒ 00:20:21.030 Gabriel Lam: Yep.
254 00:20:21.920 ⇒ 00:20:22.400 Uttam Kumaran: Hmm.
255 00:20:22.400 ⇒ 00:20:25.459 Gabriel Lam: Yeah, I’ll just add you and… and tag you there.
256 00:20:26.260 ⇒ 00:20:29.399 Uttam Kumaran: Okay, cool, and then probably the other update for me, like.
257 00:20:29.770 ⇒ 00:20:32.310 Uttam Kumaran: You guys may have met, Brile.
258 00:20:32.880 ⇒ 00:20:34.990 Uttam Kumaran: Who’s sort of helping as.
259 00:20:35.140 ⇒ 00:20:48.890 Uttam Kumaran: he’s sort of… I mean, kind of… it’s sort of, like, dual mandate. It’s… one is, like, he’s coming on sort of on, like, delivery operations. Primarily, what that means in, like, basic terms is, like, I’m like, hey, just…
260 00:20:48.940 ⇒ 00:20:59.219 Uttam Kumaran: Let’s go systematically through every, sort of, kind of, delivery leadership role, and just see how… what tools, and, like, how everything’s working, and, like, what our estimates are for all the tasks.
261 00:20:59.320 ⇒ 00:21:15.800 Uttam Kumaran: And so, he’s starting with, like, EP, and he’s starting on my, sort of, clients, which is great, because it’s sort of helping me, because some of those clients, we don’t have anybody. But in addition, it’s… he’s also looking at every single task and making sure, like, okay, how does Gerser enable
262 00:21:15.870 ⇒ 00:21:26.149 Uttam Kumaran: us to do this a little bit faster. And so he’s been doing a great job on the engagement planning-related activities, so everything related to linear, everything related to project management.
263 00:21:26.540 ⇒ 00:21:33.209 Uttam Kumaran: And so, I think we’re making good progress, and then he’s gonna kind of move to start looking at, like, CSO-related stuff.
264 00:21:33.370 ⇒ 00:21:39.849 Uttam Kumaran: So, super, super excited, but, like, if you guys have any thoughts or questions, like, he’s gonna be the guy to sort of own
265 00:21:40.040 ⇒ 00:21:58.920 Uttam Kumaran: what does each of those roles do, and how is, like, what are the SOPs? And he’s sort of actively looking, like, okay, how does Cursor enable them, very specifically. So there should be a little bit of a, now, some more specificity versus me just saying, use Cursor for everything. So they’re starting to fill out the, the logic there.
266 00:21:59.040 ⇒ 00:22:05.039 Uttam Kumaran: The second piece is we’re also, like, we have a couple of people that are coming into final round, interviews.
267 00:22:05.110 ⇒ 00:22:15.070 Uttam Kumaran: Primarily on the data side, though. So hopefully what this should do is, one, like, some of those clients should run a bit, smoother.
268 00:22:15.110 ⇒ 00:22:29.599 Uttam Kumaran: I’m expecting that, my time hopefully will kind of help shift towards, both bringing in several new clients for, like, our AI service line, but also just being, like, I’ll have more time and availability.
269 00:22:29.700 ⇒ 00:22:43.089 Uttam Kumaran: And then, in terms of, like, okay, next question is, like, when does the AI team get more people? I feel like we’re… we’re just bringing on today, Kayla, who’s leading recruiting. And she’s gonna start to,
270 00:22:43.260 ⇒ 00:22:48.689 Uttam Kumaran: you know, kind of build out our pipeline for folks on the AL side as well. So…
271 00:22:49.040 ⇒ 00:22:55.010 Uttam Kumaran: I know you guys have, like, stripes across a ton of lines, so hopefully a lot of that will be changing here in the next, like.
272 00:22:55.250 ⇒ 00:23:02.010 Uttam Kumaran: 30 days or so. Especially, I know, like, Mustafa and Casey and Sam, you guys have, like, bounced around to, like.
273 00:23:02.290 ⇒ 00:23:08.669 Uttam Kumaran: a ton of the active clients, so hopefully trying to buy you guys some more focus, you know, coming up.
274 00:23:09.480 ⇒ 00:23:10.310 Samuel Roberts: That sounds great.
275 00:23:11.630 ⇒ 00:23:12.409 Mustafa Raja: That’s great.
276 00:23:12.410 ⇒ 00:23:13.100 Samuel Roberts: Cool.
277 00:23:14.300 ⇒ 00:23:15.080 Casie Aviles: Oh.
278 00:23:15.080 ⇒ 00:23:15.730 Samuel Roberts: fear.
279 00:23:15.730 ⇒ 00:23:23.680 Casie Aviles: I just had, like, a very quick question. I don’t want to drag the call, but how did the call with Lilo,
280 00:23:24.360 ⇒ 00:23:26.969 Casie Aviles: I was on the call with Utang last week.
281 00:23:26.970 ⇒ 00:23:30.740 Uttam Kumaran: Yeah, it’s, it’s okay. I.
282 00:23:30.740 ⇒ 00:23:31.510 Samuel Roberts: Okay.
283 00:23:31.900 ⇒ 00:23:35.959 Uttam Kumaran: I can give every… I don’t know, does everyone have context on, sort of, like, the status of that client?
284 00:23:36.700 ⇒ 00:23:37.250 Uttam Kumaran: Little bit.
285 00:23:37.250 ⇒ 00:23:39.500 Casie Aviles: Yeah, just a little bit from Prana.
286 00:23:40.530 ⇒ 00:23:43.070 Uttam Kumaran: Okay. Yeah, I mean, overall, I think…
287 00:23:43.280 ⇒ 00:23:48.509 Uttam Kumaran: We’ve had this happen to us in the past before, where clients,
288 00:23:49.060 ⇒ 00:23:55.440 Uttam Kumaran: They start working with us, and then they change the amount of work they want, and they don’t expect that to impact, sort of, like.
289 00:23:55.480 ⇒ 00:24:13.759 Uttam Kumaran: our pacing, and the things we promised, and then they’re like, hey, where are all these things? And Lilo’s starting to do a little bit of that. And so, the lovely thing is, is, like, we now… we’re no longer, like, a baby company, where we can get kind of bullied around. So, you know, I kind of gave him a call and said, like, hey guys, you’re…
290 00:24:13.980 ⇒ 00:24:17.990 Uttam Kumaran: You’re… you’re telling us we’re not… you’re not… we’re not, like, getting enough done?
291 00:24:18.060 ⇒ 00:24:27.079 Uttam Kumaran: But here’s all the things we’ve done. It’s clear you’ve changed your expectations several times, like, how do we proceed? So we have a… we have a path towards proceeding,
292 00:24:27.080 ⇒ 00:24:39.979 Uttam Kumaran: In particular, I think Clarence and Pranav are gonna be leading the sort of, like, remediation right now. I’m not yet 100% certain on, like, if we’re gonna work with them long-term, to be quite honest. It doesn’t impact anything
293 00:24:40.080 ⇒ 00:24:41.739 Uttam Kumaran: like, that’s active, so I think…
294 00:24:41.820 ⇒ 00:24:49.439 Uttam Kumaran: whatever… whatever priorities Pranat still shares is the path right now, but we’re deciding. I mean…
295 00:24:49.480 ⇒ 00:25:02.509 Uttam Kumaran: to be quite honest, like, what we’ve done for them, as I’m sure, both Sam and Casey, you can attest to, is… is, like, insane. Like, I think we’ve done, like, the craziest shit in, like, 2 or 3 months.
296 00:25:02.510 ⇒ 00:25:15.889 Uttam Kumaran: And we’ve… we severely are… are… I would say we… we could have charged way more, and we didn’t. And I think it’s a little bit tough for them to come back and say, like, oh, we’re not getting value.
297 00:25:16.240 ⇒ 00:25:33.329 Uttam Kumaran: When in fact, I know that, like, we’re… what we develop for them is amazing. And so, like, I think net-net, like, nothing’s changing right now. But I will say to… on a positive note, the work that you guys have done on Lilo, we are taking and selling, like, rapidly right now.
298 00:25:33.450 ⇒ 00:25:51.769 Uttam Kumaran: So this is all the work that Luke is doing, so I’m sure if you haven’t spent time with Luke already, I would highly recommend it, because his job is to take all the work that we’ve done for people, turn them into case studies, and start to pitch. And so he’s doing… we have probably, like, 10 or 15 meetings with
299 00:25:51.800 ⇒ 00:25:54.509 Uttam Kumaran: other Lilo-sized agencies right now?
300 00:25:54.690 ⇒ 00:26:00.370 Uttam Kumaran: who we’re basically pitching the solution to. And of course, the way…
301 00:26:00.370 ⇒ 00:26:19.460 Uttam Kumaran: you know, I kind of switched from, like, okay, sales to deliveries, I’m telling him that, like, the price is going to be way higher, because the price is going to be higher and the timeline’s gonna be longer, because we did quite a lot in really no time. It’s also gonna be much more standardized. Like, as you can tell, for Lilo, we’re sort of rolling with the punches.
302 00:26:20.910 ⇒ 00:26:27.889 Uttam Kumaran: we won’t be doing that for future clients, and we’ll come in really, really specific. So this is sort of the…
303 00:26:28.110 ⇒ 00:26:34.599 Uttam Kumaran: what you guys are seeing is, like, what it takes to start a new service. Like, you know, we’re seeing…
304 00:26:35.260 ⇒ 00:26:53.639 Uttam Kumaran: we’re taking something that, like, we built for ourselves, right? And then we took it and we went and did it for a customer. There’s a lot… it’s rocky, and sometimes it’s rocky because of, like, we’re learning, like, the technology. Sometimes it’s rocky because of the characters involved. Sometimes it’s both. If it’s both, it’s really rough.
305 00:26:53.690 ⇒ 00:26:58.690 Uttam Kumaran: So this situation… so it’s a little bit of both. You have situations like ABC, where
306 00:26:58.750 ⇒ 00:27:05.560 Uttam Kumaran: As this Casey knows, like, that was our first external AI, like, service, basically, right? And…
307 00:27:05.670 ⇒ 00:27:14.719 Uttam Kumaran: we started… the AI team started as just helping me with stuff internally. So, like, this is your… what you’re watching is sort of what it takes for us to kind of get… get this going.
308 00:27:14.780 ⇒ 00:27:26.369 Uttam Kumaran: And part of it, we have to bootstrap, and so Lilo was a good opportunity for us to be like, okay, let’s… let’s just make sure we can get in there and deliver for them to use the case study. Turns out they’re… they’re also a little bit, like, of a tough client, so…
309 00:27:26.500 ⇒ 00:27:39.859 Uttam Kumaran: Yeah, I would say what we’re finding, just like for any of our other services, is that we do really great work, and people want it. And so, I’m really, really positive on the fact that we’re gonna get, you know.
310 00:27:39.980 ⇒ 00:27:44.139 Uttam Kumaran: We’re gonna get quite a bit more customers that are asking for this exact same thing.
311 00:27:44.250 ⇒ 00:27:48.740 Uttam Kumaran: Here in the next, like, month or two, so… We should be…
312 00:27:48.940 ⇒ 00:27:52.910 Uttam Kumaran: I mean, either way, on Lilo, I think it’s been a… it’s been a huge success.
313 00:27:53.870 ⇒ 00:27:54.570 Samuel Roberts: Good.
314 00:27:55.550 ⇒ 00:27:57.710 Uttam Kumaran: I know it may not feel that way day to day.
315 00:27:58.220 ⇒ 00:27:58.840 Uttam Kumaran: Yeah.
316 00:27:58.840 ⇒ 00:28:04.929 Samuel Roberts: Yeah, yeah. I mean, I did wonder that a little bit when they were coming from the other devs, but the other devs sounded like… I wasn’t sure…
317 00:28:05.120 ⇒ 00:28:06.900 Samuel Roberts: Who was, you know.
318 00:28:07.010 ⇒ 00:28:12.529 Samuel Roberts: the problem in some of that stuff, necessarily, what they were expecting, but it wasn’t clear at first.
319 00:28:12.530 ⇒ 00:28:17.340 Uttam Kumaran: Yeah, as you guys know, like, look, there are some times where we have hiccups on engineering, right? Like.
320 00:28:17.450 ⇒ 00:28:22.070 Uttam Kumaran: And oftentimes, you can already tell that we do a lot internally to push, like.
321 00:28:22.230 ⇒ 00:28:25.570 Uttam Kumaran: I will call you and be like, hey, this is not going well, and we move forward.
322 00:28:25.570 ⇒ 00:28:25.950 Samuel Roberts: True.
323 00:28:25.950 ⇒ 00:28:30.109 Uttam Kumaran: I usually am very rare to, to blame us. Yeah.
324 00:28:30.340 ⇒ 00:28:43.059 Uttam Kumaran: For… for bad engineering. It’s very… it’s very… it’s not very often. It’s usually a communication gap, and again, that’s… that’s on all of us, right? And we’re fixing that. But that’s why when…
325 00:28:43.140 ⇒ 00:28:51.179 Uttam Kumaran: when clients sometimes, like, have different ideas about our pacing, it’s… it’s usually wrong. It’s usually another communication gap.
326 00:28:51.200 ⇒ 00:29:04.080 Uttam Kumaran: Right? And so then I go down, I’m like, hey, do we… what did we communicate initially? What did we deliver? And in this situation, we actually over-delivered in many ways, and we’re gonna make that really clear to them. And so then they’ll have a decision.
327 00:29:04.110 ⇒ 00:29:05.570 Uttam Kumaran: I mean, I think the one…
328 00:29:05.730 ⇒ 00:29:17.830 Uttam Kumaran: The one… the mistake they did is actually, like, make noise, because now, like, there’s… we’re gonna kinda go through and make sure that, like, we’re getting paid for everything that we’re doing, and the number’s gonna go up.
329 00:29:18.240 ⇒ 00:29:20.749 Uttam Kumaran: Because that’s the way it works, like…
330 00:29:20.930 ⇒ 00:29:30.500 Uttam Kumaran: you could… we were over-delivering for them, they could have just been happy, but… Yeah, so Clarence and Pranav are taking care of that right now. Okay. We should have some resolution sometime soon.
331 00:29:31.240 ⇒ 00:29:32.350 Samuel Roberts: Excellent. Okay.
332 00:29:33.130 ⇒ 00:29:34.449 Casie Aviles: Appreciate the update. Thank you.
333 00:29:34.760 ⇒ 00:29:36.350 Uttam Kumaran: Good question, Casey, thank you.
334 00:29:39.340 ⇒ 00:29:41.460 Samuel Roberts: Alright, well, we’re right about it, 10.30.
335 00:29:41.780 ⇒ 00:29:43.349 Samuel Roberts: If that’s all.
336 00:29:45.260 ⇒ 00:29:46.540 Uttam Kumaran: I guess my only other.
337 00:29:46.560 ⇒ 00:29:47.680 Samuel Roberts: Question.
338 00:29:47.680 ⇒ 00:29:52.220 Uttam Kumaran: Maybe, Mustafa, we can move our vibe coding sometime earlier in the week?
339 00:29:52.950 ⇒ 00:29:53.560 Samuel Roberts: I’m a mom.
340 00:29:54.000 ⇒ 00:29:54.420 Mustafa Raja: Yeah.
341 00:29:54.420 ⇒ 00:30:03.240 Uttam Kumaran: I feel like we had one or two good weeks, but I’m so dead by Friday afternoon. Yeah. Like, I’m, like, my brain is, like, literally, like, non-existent.
342 00:30:03.250 ⇒ 00:30:06.239 Mustafa Raja: Yeah. How does one listen?
343 00:30:07.030 ⇒ 00:30:10.859 Uttam Kumaran: I could, yeah, I could rip Monday, but that’s up to you, dude.
344 00:30:10.860 ⇒ 00:30:13.660 Mustafa Raja: Okay, let me find some good time, then. Yeah, in the summer.
345 00:30:13.660 ⇒ 00:30:15.910 Uttam Kumaran: We can do Monday. Thursday’s hard.
346 00:30:16.170 ⇒ 00:30:19.989 Uttam Kumaran: But Monday, Tuesday, I could do, so yeah, you tell me.
347 00:30:20.580 ⇒ 00:30:21.359 Samuel Roberts: Yeah. Cool.
348 00:30:21.360 ⇒ 00:30:24.360 Mustafa Raja: I’ll put some time in your calendar, and then I’ll ask you if that’s good.
349 00:30:25.060 ⇒ 00:30:26.089 Uttam Kumaran: Okay, okay.
350 00:30:27.610 ⇒ 00:30:28.670 Uttam Kumaran: Thank you. Thank you.
351 00:30:29.660 ⇒ 00:30:30.030 Casie Aviles: Okay.
352 00:30:30.030 ⇒ 00:30:30.840 Uttam Kumaran: Thanks, everyone.
353 00:30:31.120 ⇒ 00:30:32.260 Samuel Roberts: Alright, sounds good.