Meeting Title: AI-Default-Interlude-Insomnia-ABC Standup Date: 2025-10-21 Meeting participants: Samuel Roberts, Uttam Kumaran, Rico Rejoso, Mustafa Raja, Demilade


WEBVTT

1 00:00:38.720 00:00:40.489 Uttam Kumaran: Oh my god, my hair.

2 00:00:41.310 00:00:42.340 Uttam Kumaran: Hey, Sam.

3 00:01:01.700 00:01:02.519 Samuel Roberts: Can you hear me?

4 00:01:02.800 00:01:04.010 Uttam Kumaran: Hey, I can hear you.

5 00:01:04.010 00:01:08.729 Samuel Roberts: Alright, yeah, weird. I unplugged today, and the Mac always confuses

6 00:01:09.470 00:01:15.270 Samuel Roberts: headphones and webcams and everything, so I’m never sure what’s working when I get on these things when I’ve moved, setups.

7 00:01:15.840 00:01:16.710 Uttam Kumaran: All good.

8 00:01:17.150 00:01:17.990 Samuel Roberts: How’s it going?

9 00:01:18.220 00:01:19.510 Uttam Kumaran: Good, how are you?

10 00:01:19.900 00:01:21.340 Samuel Roberts: Pretty good, pretty good.

11 00:01:21.590 00:01:23.040 Uttam Kumaran: What are you drinking this morning?

12 00:01:23.280 00:01:25.640 Samuel Roberts: Coffee? Coffee, yeah.

13 00:01:25.830 00:01:26.820 Samuel Roberts: What are you trying to talk about it.

14 00:01:26.820 00:01:28.510 Uttam Kumaran: You didn’t drink Black Opsy.

15 00:01:28.570 00:01:31.379 Samuel Roberts: Yeah, pretty much it’s black. This one…

16 00:01:31.910 00:01:34.569 Samuel Roberts: So I have, like, a pretty nice coffee setup now.

17 00:01:34.570 00:01:35.840 Uttam Kumaran: Tell me, dude. Come on!

18 00:01:35.840 00:01:46.450 Samuel Roberts: Oh my god, oh my god. Okay, so I got really into coffee a number of years ago. Went to, like, some coffee tastings and, like, learned a little bit. A couple years ago, I got, like, a really nice grinder for Christmas, because I was, like.

19 00:01:46.750 00:01:51.899 Samuel Roberts: That was the next step, and those are, like… the next step up on a grinder is, like, a big expense.

20 00:01:51.900 00:01:53.780 Uttam Kumaran: grinder, but like a… like a…

21 00:01:53.990 00:01:56.130 Uttam Kumaran: Like, an actual machine? Like a…

22 00:01:56.130 00:02:15.390 Samuel Roberts: I got… it’s an electric one. Yeah, I’m not doing hand stuff, that is… I don’t want to sit there for 20 minutes doing it. Yeah, but it’s a bird grinder, it’s the Niche Zero, if you know anything about that one. No. It’s like a single dose one, so instead of having a big hopper, I can have, like… because I had one like that, and that was fine. But I wanted to be able to have, like.

23 00:02:15.710 00:02:18.720 Samuel Roberts: 4 different coffee beans at once, and start…

24 00:02:18.840 00:02:38.460 Samuel Roberts: having different ones at different times, and… so now I have this nice grinder, so I have, like, a pretty standard, just, like, I get, like, the Kirkland big bag of beans to have, like, as a base, and then I tend to, like, just, as different coffee shops, pick up, like, whatever coffee looks good, and have it on hand, and just kind of bounce around them, so… I think this one today is a Peruvian one.

25 00:02:39.010 00:02:40.590 Samuel Roberts: But yeah.

26 00:02:40.590 00:02:41.420 Uttam Kumaran: Nice.

27 00:02:41.660 00:02:43.280 Samuel Roberts: It’s been… it’s nice to have, yeah.

28 00:02:43.640 00:02:48.749 Uttam Kumaran: Yeah, I made… I made cold brew, so I have, like, a bunch of cold brew I made a few days ago.

29 00:02:49.060 00:02:53.370 Uttam Kumaran: And then, yeah, I have a Breville espresso machine.

30 00:02:53.650 00:02:54.780 Samuel Roberts: Oh, nice.

31 00:02:54.780 00:03:01.409 Uttam Kumaran: So that is really, really good. And then I think the step above is, like, to get, like, an actual machine.

32 00:03:01.520 00:03:09.399 Uttam Kumaran: It’s, like, really expensive, though, so I’m, like… but I mainly drink espresso. I don’t really drink black coffee, like, cold brew.

33 00:03:09.800 00:03:14.640 Uttam Kumaran: Yeah. I’m, like, trying to learn how to make it, so… because it’s really handy to have cold brew.

34 00:03:14.640 00:03:15.230 Samuel Roberts: Definitely.

35 00:03:15.230 00:03:24.509 Uttam Kumaran: And it’s very easy to make, so I’m, like, learning how to make it. But yeah, I buy all beans from, like, local places, and also there’s a lot of coffee shops, so…

36 00:03:24.510 00:03:25.190 Samuel Roberts: Yeah.

37 00:03:26.250 00:03:26.630 Uttam Kumaran: Yeah.

38 00:03:26.630 00:03:33.270 Samuel Roberts: No, I like that the, like, the, like, local, like, artisan roastery thing has kind of become more prevalent and easy to get.

39 00:03:33.520 00:03:44.410 Samuel Roberts: It’s nice, but… yeah, the espresso thing is a whole path I haven’t really gone down. I have, like, a cheap machine that I used in college that I still have, but I don’t… I don’t break it out, but I’m definitely…

40 00:03:44.570 00:03:46.839 Samuel Roberts: when I pour over, I do some Aeropress…

41 00:03:47.090 00:03:54.919 Samuel Roberts: Like, Chemex stuff, so I… the… I know the espresso route is even more expensive than, like, the fancy grinder I got, and I’m like, oh, this is… maybe something.

42 00:03:55.370 00:03:55.710 Samuel Roberts: Yeah, yeah.

43 00:03:55.710 00:04:01.170 Uttam Kumaran: I’m surprised you’re not into, you’re not into, espresso.

44 00:04:01.460 00:04:18.980 Samuel Roberts: I… I got into coffee, and I had some stuff to, like, just make, like, pour over and things like that. And my dad actually… I grew up, like, he made espresso cappuccinos, like, every morning, so I know how to do it pretty well. I’ve done it a lot, but I’ve never wanted to invest a ton of money in a machine, so I just kind of have…

45 00:04:18.980 00:04:19.680 Uttam Kumaran: Okay.

46 00:04:19.680 00:04:22.650 Samuel Roberts: Piecemealed together a whole bunch of other stuff over the years, so…

47 00:04:22.650 00:04:23.689 Uttam Kumaran: Okay, okay.

48 00:04:24.810 00:04:25.670 Uttam Kumaran: Cool.

49 00:04:25.720 00:04:27.450 Samuel Roberts: Yeah. Well, yeah, let’s.

50 00:04:27.450 00:04:29.859 Uttam Kumaran: Let’s get started. Do you know if Casey’s here today?

51 00:04:29.860 00:04:34.470 Samuel Roberts: Casey said he’s, has something come up urgent, and I think he posted on the AI team.

52 00:04:37.060 00:04:44.939 Samuel Roberts: So, actually, I wanted to ask about that. Is someone on what he was doing? I don’t know exactly the status of, like, where his work is for Insomnia, like, daily now?

53 00:04:45.500 00:04:52.780 Uttam Kumaran: Yeah, I think, I’m gonna… I’ll basically… I’ll send a message saying, like, dailies, delayed, so I can send that. Okay.

54 00:04:52.780 00:04:53.440 Samuel Roberts: Okay.

55 00:04:56.530 00:05:04.200 Samuel Roberts: Yeah, so, with Insomnia, I know we talked about, like, you and I connecting about some architecture stuff. Is that still the plan, or now that we’re shifting around stuff, I wasn’t.

56 00:05:04.200 00:05:06.629 Uttam Kumaran: No, we still should, okay.

57 00:05:07.730 00:05:11.539 Uttam Kumaran: Maybe let’s talk about that right now, I can try to find a good time to do that.

58 00:05:12.230 00:05:12.810 Samuel Roberts: Sure.

59 00:05:30.980 00:05:33.370 Samuel Roberts: Yeah, my day’s pretty open today, it looks like.

60 00:05:33.370 00:05:34.010 Uttam Kumaran: Okay.

61 00:05:34.170 00:05:36.830 Samuel Roberts: So yeah, if you want to grab anything…

62 00:05:38.480 00:05:42.380 Samuel Roberts: The consolidation of meetings was very helpful, I appreciate that, personally.

63 00:05:42.380 00:05:43.959 Uttam Kumaran: Yeah, yeah.

64 00:05:44.400 00:05:50.499 Uttam Kumaran: I know, but it’s just, like, so tough for me in the beginning of the week, because I move… everything on Monday, I move to Tuesday that I can’t.

65 00:05:50.500 00:05:52.010 Samuel Roberts: Oh!

66 00:05:52.010 00:05:52.539 Uttam Kumaran: Okay, yeah.

67 00:05:53.340 00:05:57.970 Uttam Kumaran: Well, here, let me… I think it would be nice to do it anyways today.

68 00:05:58.250 00:06:03.149 Uttam Kumaran: I’ll grab time here, and if we can do earlier, I can do it.

69 00:06:07.590 00:06:08.270 Uttam Kumaran: Okay.

70 00:06:08.560 00:06:09.149 Samuel Roberts: Oh, yeah, you know.

71 00:06:09.150 00:06:19.439 Uttam Kumaran: Alright, grab time for… Later. The meeting I had before that meeting may go… May end early, so…

72 00:06:20.000 00:06:21.370 Samuel Roberts: Yeah, just let me know, I’ll be…

73 00:06:25.830 00:06:32.270 Uttam Kumaran: Okay, cool. So, let’s walk through… Things…

74 00:06:39.960 00:06:48.350 Uttam Kumaran: So… We’re also gonna add, ABC to this morning batch.

75 00:06:48.800 00:06:49.500 Samuel Roberts: Right.

76 00:06:49.500 00:06:55.689 Uttam Kumaran: So, I can cover that, and we can talk about, like, what’s there.

77 00:07:14.510 00:07:15.220 Uttam Kumaran: Okay.

78 00:07:15.460 00:07:22.660 Uttam Kumaran: So I’m pretty sure… Yeah, these look like all of the to-do items.

79 00:07:23.310 00:07:30.870 Uttam Kumaran: I don’t know how many points this is, so that’s, like…

80 00:07:31.180 00:07:36.510 Uttam Kumaran: Like, I guess, Mustafa, like, did you guys meet yesterday on this, or is it just Amber and Casey?

81 00:07:36.770 00:07:41.310 Mustafa Raja: It was Amber and Casey and me. I was okay.

82 00:07:42.180 00:07:44.270 Uttam Kumaran: Okay, but you’re familiar with these ones?

83 00:07:47.220 00:07:48.130 Mustafa Raja: Yeah.

84 00:07:48.560 00:07:49.140 Uttam Kumaran: Okay.

85 00:07:50.150 00:07:52.090 Uttam Kumaran: And what is… well…

86 00:07:52.090 00:07:54.609 Samuel Roberts: Yeah, those… and those ones have estimates, name progress on them, at least.

87 00:07:54.610 00:07:58.070 Uttam Kumaran: Yeah, but there says it’s 11 points here, so where’s the…

88 00:07:58.070 00:07:58.990 Samuel Roberts: Oh.

89 00:07:59.180 00:08:01.430 Samuel Roberts: Is there another filter or something happening here?

90 00:08:05.390 00:08:06.449 Uttam Kumaran: Let’s see.

91 00:08:10.240 00:08:12.069 Samuel Roberts: Team cycle…

92 00:08:12.270 00:08:14.719 Uttam Kumaran: Oh, it’s in progress in any of these.

93 00:08:14.720 00:08:23.180 Samuel Roberts: Oh, just the view of the whole thing, yeah, it’s a weird… Yeah, okay. Yeah. I didn’t… that caught me off guard another time, too, when I was doing the same thing, and I totally forgot.

94 00:08:24.180 00:08:26.769 Uttam Kumaran: So, let’s do Brent Cycle.

95 00:08:30.420 00:08:31.819 Uttam Kumaran: Okay, great, so…

96 00:08:32.070 00:08:33.979 Samuel Roberts: You’re familiar with these.

97 00:08:33.980 00:08:38.590 Uttam Kumaran: Any, like, questions or anything to cover here?

98 00:08:43.719 00:08:53.489 Mustafa Raja: They were… they were in internal review when they came back from, from there, so, I need to check out what’s happening over there.

99 00:08:53.800 00:08:54.360 Uttam Kumaran: Okay.

100 00:08:57.580 00:08:58.290 Uttam Kumaran: Okay.

101 00:09:02.410 00:09:08.290 Uttam Kumaran: Great, let’s talk through… default, so you’re sending, over that new…

102 00:09:08.880 00:09:12.650 Uttam Kumaran: Customer error. So, yeah, it looks fine to me. Can you just send it to Caitlin? And…

103 00:09:12.650 00:09:13.290 Mustafa Raja: Ask your.

104 00:09:13.290 00:09:14.139 Uttam Kumaran: for a review?

105 00:09:14.340 00:09:15.090 Mustafa Raja: I’ll do that.

106 00:09:15.460 00:09:16.200 Uttam Kumaran: Okay, cool.

107 00:09:17.220 00:09:24.280 Mustafa Raja: So, the field extends to companies. I did that for funding, and.

108 00:09:24.280 00:09:24.870 Uttam Kumaran: Okay.

109 00:09:25.450 00:09:30.049 Mustafa Raja: Today, I’ll be doing the, beeple sample set.

110 00:09:30.160 00:09:37.410 Mustafa Raja: And also the, spreadsheet thing that we want to do for the vendors.

111 00:09:38.330 00:09:40.850 Mustafa Raja: So these two tasks I’ll be taking.

112 00:09:40.950 00:09:42.069 Mustafa Raja: for default.

113 00:09:42.580 00:09:43.110 Uttam Kumaran: Okay.

114 00:09:45.390 00:09:46.260 Uttam Kumaran: Great.

115 00:09:46.730 00:09:51.830 Uttam Kumaran: So today, this one… was done…

116 00:09:53.470 00:10:00.859 Uttam Kumaran: Okay, this one is… we’ll have to talk through when I speak with… Robert,

117 00:10:03.650 00:10:07.049 Uttam Kumaran: Yeah, and I’ll send a message about the Daily Impact Scorecard.

118 00:10:07.630 00:10:18.089 Uttam Kumaran: This one… Okay, there’s some action items for Casey, so we’ll see when he gets back on that.

119 00:10:18.620 00:10:26.549 Uttam Kumaran: And then me and you, Sam, will talk through, the sales flash.

120 00:10:27.310 00:10:36.880 Uttam Kumaran: One thing I asked, casey to do… And let me see…

121 00:10:44.760 00:10:46.160 Uttam Kumaran: Let me see…

122 00:10:46.390 00:10:48.130 Samuel Roberts: Where that is…

123 00:11:03.500 00:11:09.759 Uttam Kumaran: Maybe, Sam, you can handle this one. So there’s a ticket here. Oh, this one came up yesterday.

124 00:11:10.070 00:11:18.740 Uttam Kumaran: We have access to S3 now for Insomnia, but one of the features for Mother Duck…

125 00:11:19.990 00:11:22.780 Uttam Kumaran: is you can actually query S3 directly.

126 00:11:23.480 00:11:24.619 Samuel Roberts: Mmm. Okay.

127 00:11:24.620 00:11:26.680 Uttam Kumaran: Which is really nice, because,

128 00:11:26.980 00:11:29.190 Uttam Kumaran: You can query data lakes, basically.

129 00:11:29.410 00:11:34.020 Uttam Kumaran: So, like, in a similar format to this?

130 00:11:34.320 00:11:40.940 Uttam Kumaran: Wondering if you can, see if we can hook that up. There’s data in here.

131 00:11:41.250 00:11:42.240 Uttam Kumaran: Like…

132 00:11:42.510 00:11:48.869 Uttam Kumaran: So one is, like, I think there… we have to do a little bit of, like, a data survey of, like, what’s in S3.

133 00:11:49.450 00:11:57.739 Uttam Kumaran: And then… There’s… you should have the ability to just, like, to just query this directly.

134 00:11:57.940 00:12:15.379 Uttam Kumaran: And that way, we can quickly give access. So, kind of the alternative here is, like, we would have to move these files into a Mother Duck environment, but because you can just query directly, I just haven’t taken a look at these files, so if you can maybe poke at that today, since Casey’s out, that would be…

135 00:12:16.570 00:12:17.820 Uttam Kumaran: Helpful.

136 00:12:19.490 00:12:21.569 Samuel Roberts: Where is this in Slack right now? Or can you… yeah.

137 00:12:21.570 00:12:23.389 Uttam Kumaran: Yeah, I’m gonna make a- I’ll make a ticket.

138 00:12:23.830 00:12:24.570 Samuel Roberts: Okay, cool.

139 00:12:42.600 00:12:45.709 Samuel Roberts: Are you kind of just querying it, not, like, getting it into Mother Doctors using that query?

140 00:12:45.710 00:12:49.519 Uttam Kumaran: Yeah, just query so that we can give… we can give access to…

141 00:12:49.630 00:12:55.069 Uttam Kumaran: Like, so Demolade and Robber will be, like, mainly querying stuff in there, so…

142 00:12:55.800 00:12:56.380 Samuel Roberts: Okay.

143 00:13:10.820 00:13:13.010 Uttam Kumaran: Okay, great. So that’s here. Cool.

144 00:13:14.020 00:13:15.740 Uttam Kumaran: Cool.

145 00:13:16.450 00:13:20.259 Uttam Kumaran: Okay, the rest, yeah, I’m okay about.

146 00:13:20.600 00:13:29.020 Uttam Kumaran: Let’s talk about, what, we were also gonna talk about… okay, yeah, I guess for,

147 00:13:29.940 00:13:41.040 Uttam Kumaran: For Insomnia as well, Demolat, do you have a chance to look at anything yesterday? Or should I… can I create maybe one or two tickets for you here to just, like, explore stuff? I guess you have this customer-level

148 00:13:42.010 00:13:43.490 Uttam Kumaran: segmentation already.

149 00:13:44.180 00:13:48.479 Uttam Kumaran: Yeah, but I… to be honest, I haven’t, like, started digging into it. Okay, that’s fine.

150 00:13:48.700 00:13:51.380 Demilade: Is that… are there any docs on it?

151 00:13:52.110 00:13:55.599 Uttam Kumaran: There are docs, yes. So,

152 00:14:07.140 00:14:09.830 Uttam Kumaran: If you look through…

153 00:14:10.390 00:14:22.300 Uttam Kumaran: these are, like, basically all the docs on, like, all the work we’ve done for them. There is… there are docs here on customer segmentation.

154 00:14:22.500 00:14:24.810 Samuel Roberts: I guess, yeah, mine was, like.

155 00:14:25.850 00:14:26.840 Samuel Roberts: I, I forgot.

156 00:14:27.460 00:14:29.630 Samuel Roberts: But there is that it was not evidence.

157 00:14:31.820 00:14:36.580 Uttam Kumaran: Yeah, if you look through here, you’ll see all of, like, our past, basically our past…

158 00:14:37.160 00:14:39.019 Uttam Kumaran: Like, work that we’ve done for them.

159 00:14:40.630 00:14:45.140 Uttam Kumaran: So that’s kind of, like, probably what I would… Suggest.

160 00:14:45.630 00:14:51.370 Uttam Kumaran: And then what is this, Okay.

161 00:14:51.550 00:14:56.400 Uttam Kumaran: Maybe, Rico, can we add… make sure this stuff is in our normal clients page?

162 00:15:00.500 00:15:03.119 Uttam Kumaran: Yeah, so.

163 00:15:03.120 00:15:03.730 Samuel Roberts: about,

164 00:15:03.730 00:15:06.610 Uttam Kumaran: So, basically, RFM segments are, like,

165 00:15:06.840 00:15:18.729 Uttam Kumaran: is just a, like, tool they’re using to create customer segments. Basically, right now, in MotherDuck, we have user data there, and so, ideally, what we need to do is just

166 00:15:19.170 00:15:22.649 Uttam Kumaran: Propose, like, how we want to segment customers.

167 00:15:23.080 00:15:29.670 Uttam Kumaran: It’s gonna take some time for you to poke around and ask some questions, so just send me stuff as you find it.

168 00:15:30.300 00:15:31.880 Demilade: Alright, scroll down, we’ll do.

169 00:15:32.100 00:15:33.259 Samuel Roberts: Pretty clear on that.

170 00:15:33.260 00:15:37.599 Uttam Kumaran: Cool. And then… We talk about,

171 00:15:38.070 00:15:41.340 Uttam Kumaran: AI team stuff? Any updates on anything?

172 00:15:41.930 00:15:49.840 Samuel Roberts: Yeah, the, TextSQL, I don’t know if you saw, I got… I kind of, like, almost one-shotted it with cursor with the plan thing.

173 00:15:49.840 00:15:51.629 Uttam Kumaran: Oh, I didn’t see it at all.

174 00:15:51.630 00:15:56.519 Samuel Roberts: I posted, like, an output, from… it’s just a command line thing right now,

175 00:15:56.890 00:16:00.420 Samuel Roberts: in that thread we were going through with the access, it was just a quick.

176 00:16:00.420 00:16:01.050 Uttam Kumaran: Oh, okay.

177 00:16:01.050 00:16:05.310 Samuel Roberts: I asked it a couple quick questions, and it seemed to spit out data that was… I haven’t gotten…

178 00:16:05.490 00:16:07.630 Samuel Roberts: A ton more into it, but…

179 00:16:08.100 00:16:11.690 Samuel Roberts: Honestly, the config and everything set up was, like, doing…

180 00:16:12.710 00:16:19.910 Samuel Roberts: there was most of the work there, it, yeah, VI data, okay.

181 00:16:19.910 00:16:20.340 Uttam Kumaran: nice.

182 00:16:20.640 00:16:21.740 Samuel Roberts: Yeah, I just…

183 00:16:22.110 00:16:23.299 Demilade: It actually looks pretty good.

184 00:16:23.560 00:16:28.129 Samuel Roberts: Yeah, it did, I mean, and this, so what I did was I kind of followed that… I gave it the…

185 00:16:28.870 00:16:40.209 Samuel Roberts: the Mother Duck article, and it pulled in a bunch of stuff, it looked at all the dbt stuff, so it kind of knew what it was looking for, and then it passes in a…

186 00:16:40.880 00:16:44.369 Samuel Roberts: A Markdown file, I forget what it’s called exactly.

187 00:16:44.640 00:16:55.269 Samuel Roberts: And then it’s just, like, a couple functions that generate the SQL. Right now, it just runs it, and then I have it just doing a little bit of insight, but obviously we can tune all that, but this is just a couple quick requests that I did.

188 00:16:55.500 00:17:00.369 Samuel Roberts: Yesterday, so it just pulled some stuff, but I think it’s a good start,

189 00:17:00.640 00:17:06.140 Samuel Roberts: Again, once I got the access, it was… it was a little bit better actually getting it going, but… yeah, it wasn’t… wasn’t too crazy.

190 00:17:06.140 00:17:09.739 Uttam Kumaran: What’s the easiest thing we can do for, like, the interface? Like, should we…

191 00:17:09.880 00:17:11.210 Samuel Roberts: That’s what I’m trying to figure out now.

192 00:17:11.540 00:17:28.430 Samuel Roberts: I’m trying to think… so this is literally just a command line thing right now. I can probably pipe it into Cursor, which might be helpful. I actually… it’s technically a folder right now in that data repo, but I can move it to wherever it would be most helpful. I just wanted to have access to all the dbt stuff when I was first working on it.

193 00:17:28.430 00:17:29.120 Uttam Kumaran: Yeah.

194 00:17:29.120 00:17:31.769 Samuel Roberts: And then, yeah, I don’t know…

195 00:17:32.180 00:17:45.420 Samuel Roberts: I mean, I guess you, Demolado, whoever’s gonna be, like, running this most, like, where would be good to, like, test it best? Because I think eventually if we can get into Slack, that makes the most sense, but is cursor a good thing? Is the CLI alright? Like, what would be the most helpful?

196 00:17:46.340 00:17:51.350 Demilade: I think cursor would be great, because I’ll use it, like.

197 00:17:51.500 00:17:55.389 Demilade: while I’m doing stuff here on my,

198 00:17:55.600 00:18:01.479 Demilade: local device. But I would also say, just a bit of context, and obviously part of the testing.

199 00:18:01.680 00:18:14.720 Demilade: The context of revenue for Eden, if you sum up fact transactions, fact transactions also has abandoned orders, and so it depends on the stakeholder.

200 00:18:15.400 00:18:25.270 Samuel Roberts: This is something I was going to ask about, actually, because one of the things that it suggested was, like, comments and things, and a little more documentation, maybe, on some of this stuff. So I don’t know if that lives anywhere, or if that’s something we can…

201 00:18:25.270 00:18:26.169 Uttam Kumaran: We should form…

202 00:18:26.550 00:18:33.650 Uttam Kumaran: This… yeah, so I guess my… my suggestion, like, as part of the ticket is to come with an opinion about how we should.

203 00:18:33.780 00:18:35.950 Samuel Roberts: Okay, yeah, I had some ideas.

204 00:18:35.950 00:18:36.280 Uttam Kumaran: Yeah.

205 00:18:36.890 00:18:41.239 Uttam Kumaran: So, like, for example, Omni is, like, a good,

206 00:18:41.360 00:18:48.989 Uttam Kumaran: North Star, because they allow you to do documentation At the column, table… Topic, like, every level.

207 00:18:50.370 00:18:55.740 Uttam Kumaran: So, ideally, if you can iterate and see, like, what’s helpful, I mean, I don’t…

208 00:18:57.360 00:18:59.579 Uttam Kumaran: Like, I would prefer we…

209 00:18:59.930 00:19:09.299 Uttam Kumaran: yeah, I guess, like, there’s kind of two opinions. One, you can say we need to have comments on every single file. I think what’s probably best is we just have, like, a

210 00:19:09.420 00:19:14.380 Uttam Kumaran: Like, something around the data context that we can progressively fill in.

211 00:19:14.380 00:19:15.080 Samuel Roberts: Yeah.

212 00:19:15.080 00:19:20.610 Uttam Kumaran: And then eventually, eventually…

213 00:19:20.940 00:19:31.619 Uttam Kumaran: we can also just, like, take a ton of meeting transcripts, and then, like, use that to, like, form… form this. But I think that probably the most important thing is for you to think about the structure.

214 00:19:32.010 00:19:32.970 Uttam Kumaran: Okay.

215 00:19:33.080 00:19:37.039 Uttam Kumaran: once you have the structure, I think Demolade and I can start to add stuff there.

216 00:19:37.230 00:19:43.410 Uttam Kumaran: But that’s where, like, I… if it’s a blank slate, the AI’s gonna just write whatever it feels like.

217 00:19:43.450 00:19:45.969 Samuel Roberts: Yeah, exactly, yeah. Okay.

218 00:19:45.970 00:20:05.959 Demilade: So, like, context of, like, the abandoned, for instance, is, like, this is pretty good, and, like, if you showed them, I don’t necessarily think they would have an issue. The problem would just be, like, for revenue, because Josh likes to see abandoned, because he wants to know if there’s a possibility of converting them, because that’s potential revenue.

219 00:20:06.030 00:20:10.680 Demilade: But, like, obviously the finance people want to see actual revenue, like the…

220 00:20:10.960 00:20:19.659 Demilade: just non-abandoned. How many people have completed the purchases? So, that would just be the slight disparity that will depend on the stakeholder, I guess.

221 00:20:19.660 00:20:20.270 Samuel Roberts: Okay.

222 00:20:20.970 00:20:26.509 Samuel Roberts: Yeah, I mean, that’s… that’s… good context and specific, I’m trying to think, like, where… like.

223 00:20:27.330 00:20:31.080 Samuel Roberts: Yeah, okay, let me do a little brainstorming about, like, where to put some of this stuff, whether it’s…

224 00:20:31.260 00:20:34.470 Samuel Roberts: in that MD file, or maybe somewhere…

225 00:20:34.690 00:20:49.239 Samuel Roberts: further back in the… because I gotta look a little bit more and see, like, where would be the smartest place to put this, because I also want it to be able to adapt and not… if it’s, like, one file we’re constantly bouncing into and stuff, I want to make sure it stays up to date and things like that, but…

226 00:20:49.240 00:20:49.840 Demilade: Okay.

227 00:20:50.170 00:20:56.610 Samuel Roberts: I’ll do some… I’ll do some thinking. I’ll probably ping you to Milati, when I have some… maybe more specific questions about stuff, but…

228 00:20:56.610 00:21:00.029 Demilade: Okay. Sorry, I’m always, I’m always available to, like, help, like.

229 00:21:00.470 00:21:03.330 Demilade: think through these things as well, so I’m like…

230 00:21:03.330 00:21:05.100 Samuel Roberts: Yeah, I appreciate that.

231 00:21:05.390 00:21:15.610 Samuel Roberts: Yeah, I was… I was coming pretty close to needing some help, but then I was able to work through it, and it actually helped me understand a little bit of the dbt stuff better, so I… I’m glad I got it. Okay.

232 00:21:15.610 00:21:16.250 Uttam Kumaran: Cool.

233 00:21:21.330 00:21:22.070 Uttam Kumaran: Cool.

234 00:21:22.510 00:21:33.020 Uttam Kumaran: Yeah, I feel like if we could do a cursor, and then we could keep testing, like, that’d be great. And again, this is something that we can start to move to other clients once we have it working for Eden. I think we’re gonna have, like.

235 00:21:33.460 00:21:37.219 Uttam Kumaran: You can iterate a little bit on, like, how we put the context in, but ideally.

236 00:21:37.460 00:21:38.360 Samuel Roberts: Like…

237 00:21:38.360 00:21:48.530 Uttam Kumaran: I think the example Demolata is a good… gave us a good example, where, like, ideally the AI should, like, ask the developer, like, hey, what… what is the context? Who are you sending it to?

238 00:21:48.750 00:21:54.359 Uttam Kumaran: Like, or each table or area of the business should have specific constraints.

239 00:21:54.830 00:21:55.850 Samuel Roberts: Yeah.

240 00:21:55.960 00:22:07.540 Samuel Roberts: Yeah, that’s good. Okay, yeah, I can play with that more, because yeah, I think at this point, this one shot was just, like, creating a big… based on the DPT code and everything, like, what was the general context to pass in, but…

241 00:22:08.550 00:22:12.840 Samuel Roberts: Okay. I can… Make that more specific based on that now.

242 00:22:13.050 00:22:14.190 Uttam Kumaran: Okay, cool.

243 00:22:14.190 00:22:15.100 Samuel Roberts: Yeah.

244 00:22:16.770 00:22:19.020 Mustafa Raja: two hours to review.

245 00:22:19.970 00:22:23.730 Mustafa Raja: So, one of them is the middleware.

246 00:22:23.900 00:22:25.370 Mustafa Raja: Okay. Okay.

247 00:22:25.710 00:22:35.369 Mustafa Raja: I tested it yesterday, and then I also updated the exit, pipeline to include, oh, nice. …allocations and then person allocations.

248 00:22:35.370 00:22:36.050 Samuel Roberts: Don’t knock you back.

249 00:22:36.050 00:22:37.499 Uttam Kumaran: Okay, I can take a look at this one.

250 00:22:38.090 00:22:38.480 Mustafa Raja: Yeah.

251 00:22:38.480 00:22:40.310 Samuel Roberts: I’ll do the… the middleware one.

252 00:22:40.360 00:22:41.899 Uttam Kumaran: Okay, get that anyway.

253 00:22:43.610 00:22:44.280 Uttam Kumaran: Okay.

254 00:22:44.280 00:22:51.639 Mustafa Raja: And then I also created a ticket to transform this, raw data in, Omni and join it to our topic.

255 00:22:53.340 00:22:53.950 Uttam Kumaran: Okay.

256 00:22:54.630 00:22:57.150 Mustafa Raja: I’ll, I’ll also be taking that today.

257 00:22:57.530 00:22:58.080 Uttam Kumaran: Okay.

258 00:22:58.300 00:22:59.200 Uttam Kumaran: Okay, great.

259 00:22:59.970 00:23:02.119 Uttam Kumaran: If you want to create tickets for that, feel free.

260 00:23:02.460 00:23:03.960 Mustafa Raja: Yeah, I’ve created it.

261 00:23:03.960 00:23:04.380 Uttam Kumaran: Okay.

262 00:23:04.380 00:23:05.439 Mustafa Raja: It’s introduced.

263 00:23:06.140 00:23:06.880 Uttam Kumaran: Okay, cool.

264 00:23:07.790 00:23:19.379 Uttam Kumaran: All right, great. Yeah, packed day today, so I want to just try to review as much stuff as possible. I’ll let Amber know that we walked through this, and that Casey’s out, so, I want to start doing the ABC…

265 00:23:19.800 00:23:24.780 Samuel Roberts: stand up here, like, I don’t know if there was a stand-up yesterday that’s, like, at another time, but…

266 00:23:24.780 00:23:29.939 Uttam Kumaran: I want to try to batch it with this meeting. So, I’ll send a message and see if we can start doing that.

267 00:23:30.120 00:23:35.029 Uttam Kumaran: And then yeah, Demilon, if you get any time to poke at Insomnia, let me know, that’d be great today.

268 00:23:35.680 00:23:36.629 Samuel Roberts: Are you dressing up?

269 00:23:36.630 00:23:38.160 Uttam Kumaran: And let me know if I can cover anywhere else.

270 00:23:38.160 00:23:39.149 Samuel Roberts: dozen of pounds.

271 00:23:39.150 00:23:39.940 Demilade: Oh, that sounds good.

272 00:23:40.570 00:23:41.730 Uttam Kumaran: Okay, perfect.

273 00:23:41.730 00:23:44.570 Samuel Roberts: I forgot the update about him, Casey being gone, so…

274 00:23:44.570 00:23:45.900 Uttam Kumaran: Yes, I’ll send that right now.

275 00:23:46.090 00:23:46.680 Samuel Roberts: Cool.

276 00:23:46.900 00:23:47.450 Uttam Kumaran: Okay.

277 00:23:47.670 00:23:50.230 Uttam Kumaran: Alrighty. Alright. Thank you guys. Talk to you soon.

278 00:23:50.230 00:23:50.929 Samuel Roberts: Bye, ol.