Meeting Title: Planning: DE-AE-AI Date: 2025-12-15 Meeting participants: Awaish Kumar, Samuel Roberts, Uttam Kumaran, Elizah Joy, Ashwini Sharma, mustafa, Rico Rejoso, Surf’s iPhone, Demilade Agboola, Gabriel Lam


WEBVTT

1 00:01:39.400 00:01:40.330 Uttam Kumaran: Hey, guys.

2 00:01:41.820 00:01:44.419 Samuel Roberts: Saw your message on engineering, you know.

3 00:01:46.090 00:01:48.840 Samuel Roberts: You thinking tomorrow we can start doing that, or…

4 00:01:48.960 00:01:49.729 Samuel Roberts: We’ll do that today.

5 00:01:49.730 00:01:51.250 Uttam Kumaran: Yeah.

6 00:01:51.420 00:01:56.170 Uttam Kumaran: Whenever. I… or we could do… I mean, we could do it today if we want to book it later.

7 00:01:56.890 00:01:58.389 Samuel Roberts: Okay, that’s probably not a bad idea.

8 00:02:00.370 00:02:02.440 Samuel Roberts: I can put someone on the calendar for later.

9 00:02:10.410 00:02:11.190 Awaish Kumar: Hello.

10 00:02:16.500 00:02:22.880 Awaish Kumar: Oh, my Putnam, do you have any specific, like, plan for today, or we just go regular…

11 00:02:23.950 00:02:26.860 Awaish Kumar: Discussion of priorities and the tickets.

12 00:02:27.450 00:02:33.160 Uttam Kumaran: Yeah, I mean, I think, it would be great to start to…

13 00:02:33.400 00:02:35.270 Uttam Kumaran: You know, have each of the…

14 00:02:35.670 00:02:45.850 Uttam Kumaran: like, core engineers that are on projects start to own a little bit of planning, like, it would be great for Demolati to start to plan a little bit larger.

15 00:02:46.520 00:02:48.290 Uttam Kumaran: for default.

16 00:02:48.410 00:03:08.240 Uttam Kumaran: I think, Sam, you’re owning one workstream for CTA, but there’s also, like, Lilo ABC, and then, Awasht, you’re owning Element. I’m gonna, you know, kick off Magic Spoon, and then Serge’s doing Remo, so I guess I kind of want to just make sure, Awish, that we have some, like, planning tasks this week.

17 00:03:08.510 00:03:12.770 Uttam Kumaran: For each, and that those are, like, You know, ticketed and…

18 00:03:13.540 00:03:14.250 Awaish Kumar: Okay.

19 00:03:14.640 00:03:17.050 Uttam Kumaran: You know, each lead engineer can own those.

20 00:03:19.010 00:03:19.710 Awaish Kumar: Okay.

21 00:03:20.440 00:03:25.999 Awaish Kumar: Yeah, so for this meeting, I’ll just create one ticket for each of us, and then…

22 00:03:26.450 00:03:31.209 Awaish Kumar: And go through the Marvel, like, stand-up, And we can maybe…

23 00:03:31.610 00:03:35.020 Awaish Kumar: Tomorrow, discuss the planning that everybody, like.

24 00:03:35.440 00:03:38.600 Awaish Kumar: Creates tickets, or whatever plan they come up with.

25 00:03:39.370 00:03:39.990 Uttam Kumaran: Okay.

26 00:04:23.980 00:04:29.670 Uttam Kumaran: So maybe let’s… yeah, I guess, Sam, how do you feel about maybe owning another work stream

27 00:04:30.300 00:04:37.439 Uttam Kumaran: for AI and… like, app development, Like, in terms.

28 00:04:37.440 00:04:38.229 Samuel Roberts: I love them.

29 00:04:38.460 00:04:40.290 Uttam Kumaran: Running another stand-up.

30 00:04:40.950 00:04:43.740 Samuel Roberts: Yeah, I think it makes probably some sense, because…

31 00:04:44.030 00:04:48.370 Samuel Roberts: There’s enough there now that we can… Break it out.

32 00:04:50.230 00:04:55.179 Samuel Roberts: I feel bad at adding another meeting, but might as well separate it, I think.

33 00:04:55.310 00:05:00.970 Uttam Kumaran: Yeah, and I don’t know, is, like, how many people are in the… I don’t go to the strategy analytics.

34 00:05:01.520 00:05:08.710 Samuel Roberts: No, yeah, I think there might be some overlap here. Like, Mustafa would be needed, Casey, probably both of these.

35 00:05:10.630 00:05:18.070 mustafa: Yeah, I didn’t think I would be needed in strategy anymore, so I won’t be joining it from today.

36 00:05:21.010 00:05:29.719 Uttam Kumaran: Yeah, I’m starting to get up, like, a lot earlier, too, so we can do earlier than this. I don’t know if we need… I think probably just start with 30 minutes.

37 00:05:30.470 00:05:31.050 Samuel Roberts: Yeah.

38 00:05:34.410 00:05:36.160 Awaish Kumar: Okay, yeah, we can start.

39 00:05:38.960 00:05:41.329 Awaish Kumar: You know, I can’t share my screen.

40 00:05:43.130 00:05:47.010 Awaish Kumar: Yes, so, first of all, for Eden, like.

41 00:05:48.030 00:05:52.180 Awaish Kumar: Should we own the planning, or should we just get it from Robert?

42 00:05:54.070 00:05:56.439 Uttam Kumaran: Yeah, I mean, I would say…

43 00:05:57.900 00:06:02.370 Uttam Kumaran: Yeah, it should come from Robert in terms of what’s planned.

44 00:06:02.470 00:06:06.849 Uttam Kumaran: So I’ll probably defer to him in terms of, like, what the priorities are.

45 00:06:06.990 00:06:10.780 Uttam Kumaran: But ideally, I think most of the tickets should be…

46 00:06:11.170 00:06:15.540 Uttam Kumaran: from the data side, should mainly be on Ashwini, Right?

47 00:06:16.260 00:06:16.910 Awaish Kumar: Yep.

48 00:06:17.470 00:06:19.279 Awaish Kumar: Okay. Yeah.

49 00:06:20.140 00:06:23.540 Awaish Kumar: So, mainly the… all the tickets are now, like, I’m…

50 00:06:23.800 00:06:27.640 Awaish Kumar: trying to, like, assign it to Aishwani, but, like,

51 00:06:27.910 00:06:30.830 Awaish Kumar: Like, I have to be involved in the…

52 00:06:31.040 00:06:33.970 Awaish Kumar: Few things, like, just maybe give it…

53 00:06:34.200 00:06:38.029 Awaish Kumar: Information or the references to the things.

54 00:06:40.650 00:06:42.849 Awaish Kumar: For now, yup, and

55 00:06:45.040 00:06:50.200 Awaish Kumar: Yeah, like, Ashwini, do you… do you want to give updates on the tickets you have been working?

56 00:06:50.780 00:06:53.199 Ashwini Sharma: Yeah, so the first two,

57 00:06:53.320 00:06:58.439 Ashwini Sharma: are PR ready, you have reviewed one of them and merged, and

58 00:06:58.660 00:07:04.870 Ashwini Sharma: I’m gonna marry the other one, so these two are done. The third one, add holiday, 1240.

59 00:07:05.000 00:07:09.809 Ashwini Sharma: is not yet done, like, I didn’t get time to work on it, due to the Evoque 2.

60 00:07:10.550 00:07:17.790 Ashwini Sharma: I’ll work on it this week, and then there should be one more which is not there, which is, the Metaplane thing.

61 00:07:18.020 00:07:22.950 Ashwini Sharma: I have something in mind to set up that row count thing, which is still noisy.

62 00:07:23.170 00:07:28.940 Ashwini Sharma: Great, and I have a PR, like, that’s on the way for this.

63 00:07:29.310 00:07:29.700 Awaish Kumar: Okay.

64 00:07:29.700 00:07:42.090 Ashwini Sharma: Yeah, that’s… that’s the updates on Eden. And also, like, I have one more thing for Eden, like, one quick clarification. Like, recently there was a message from Robert that I need to put only 10 hours a week for Eden.

65 00:07:42.480 00:07:46.800 Ashwini Sharma: So, I don’t know how much I can do in that, right?

66 00:07:49.140 00:07:50.000 Ashwini Sharma: Yeah, that week.

67 00:07:50.000 00:07:50.710 Uttam Kumaran: Maybe.

68 00:07:50.710 00:07:56.540 Awaish Kumar: That we can define, like, using story points, that… what we can accomplish with these state hours.

69 00:07:56.750 00:08:01.070 Ashwini Sharma: Okay. How’s the story point to… done?

70 00:08:01.070 00:08:03.019 Awaish Kumar: Yeah, 1 point is equal to 1 hour.

71 00:08:03.600 00:08:05.229 Ashwini Sharma: Oh, one point is 1R, okay.

72 00:08:05.230 00:08:05.780 Awaish Kumar: Yeah.

73 00:08:06.810 00:08:11.730 Awaish Kumar: So for now, like, what you are, like… what about, like, 12-29? Is it…

74 00:08:12.460 00:08:14.349 Ashwini Sharma: Yeah, it’s, it’s already in PR.

75 00:08:14.580 00:08:15.200 Awaish Kumar: Okay.

76 00:08:16.850 00:08:18.980 Awaish Kumar: And this one, 1240.

77 00:08:19.540 00:08:24.049 Ashwini Sharma: 2 or 40, no, this is not yet, I’m, like, in the middle of this thing.

78 00:08:24.530 00:08:25.939 Awaish Kumar: This one is all sold.

79 00:08:25.940 00:08:28.470 Ashwini Sharma: This is done, right? You mustard, yeah.

80 00:08:29.370 00:08:34.429 Awaish Kumar: Okay, so yeah, one of the tickets which Zorada signed, I can’t see it here.

81 00:08:34.820 00:08:38.849 Awaish Kumar: But I will just give you an overview. That’s what he’s asking is.

82 00:08:39.010 00:08:41.810 Awaish Kumar: We want to move data from

83 00:08:42.020 00:08:46.389 Awaish Kumar: Catalyst, like, we are already getting data, spent data from Catalyst.

84 00:08:47.080 00:08:51.939 Awaish Kumar: What the ask is to… put it to North Peave.

85 00:08:52.170 00:08:54.779 Awaish Kumar: Right? And it is kind of similar…

86 00:08:55.030 00:09:04.949 Awaish Kumar: ask, which Davilade has been working on, so, like, for up fillings. So, if he has worked on that, you might get more information from Davilade.

87 00:09:05.180 00:09:10.110 Awaish Kumar: So, double added, like… Have you been working on that, task?

88 00:09:12.760 00:09:15.669 Demilade Agboola: Sorry, my network is going in and out. What task is that?

89 00:09:16.250 00:09:21.909 Awaish Kumar: Yeah, the task is… the task for, like, moving spent data from uplifts to North Beam.

90 00:09:23.560 00:09:30.530 Demilade Agboola: No, not yet not sure the… it’s not actually in my tickets right now. Like…

91 00:09:31.360 00:09:34.249 Awaish Kumar: Yeah, I, like, it was there last week, I don’t know.

92 00:09:39.710 00:09:41.329 Awaish Kumar: Okay,

93 00:09:41.840 00:09:48.179 Awaish Kumar: I’ll… if I figured it out, and, like, maybe we… we can, like, discuss these things, like,

94 00:09:49.190 00:09:54.270 Awaish Kumar: as a single solution, because kind of, like, we are doing similar things. You will be…

95 00:09:55.210 00:10:01.190 Awaish Kumar: you both will be getting data from BigQuery, which already has uplifts and catalyst spend.

96 00:10:01.330 00:10:06.880 Awaish Kumar: And then maybe we just need one script to read from both, and send it to Northwave.

97 00:10:07.680 00:10:09.080 Awaish Kumar: Yeah. Yeah.

98 00:10:10.940 00:10:16.769 Awaish Kumar: Yeah, so if whoever, like, is working on that, maybe just take both tasks and…

99 00:10:16.930 00:10:19.249 Awaish Kumar: And work on those tweaks together.

100 00:10:21.910 00:10:25.690 Awaish Kumar: Like, if you haven’t started, we can assign it to Ashwini.

101 00:10:26.990 00:10:30.040 Demilade Agboola: Okay, sure, I haven’t started any yet, so…

102 00:10:30.200 00:10:30.890 Awaish Kumar: Okay.

103 00:10:34.200 00:10:41.909 Awaish Kumar: Yeah, so for… that’s it for Aiden. Like, Sissim, I think she is starting to work on Tableau stuff.

104 00:10:42.510 00:10:49.930 Awaish Kumar: And, she hasn’t used Dablo before, so I, like, I would love if WRA, you can…

105 00:10:51.190 00:10:57.499 Awaish Kumar: maybe give our overview of Tableau, or how we are, like, structuring things in Tableau?

106 00:10:59.470 00:11:16.290 Demilade Agboola: Yeah, I mean, I had a call with her last week, and I told her she needed to reach out to me. We could… I’m always available. But I was able to show her Tableau, able to get her to download Tableau Desktop, which is the better tool to use to build and push the, dashboards.

107 00:11:16.970 00:11:26.600 Demilade Agboola: And, yeah, we talked for, like, 25 minutes and asked her to reach out if she has any other things. I could just follow up this week and ask if she’s made any progress, or if she’s finding any difficulty.

108 00:11:27.920 00:11:31.940 Awaish Kumar: Okay, I don’t like… Where are we with these tasks?

109 00:11:32.500 00:11:36.220 Awaish Kumar: Of course, data modeling and… 1104.

110 00:11:36.700 00:11:40.560 Demilade Agboola: So, 105 should be… is done.

111 00:11:43.600 00:11:45.950 Awaish Kumar: Okay, is it assigned to me for review?

112 00:11:47.520 00:11:51.130 Demilade Agboola: No, the PR has been merged. I was just looking at,

113 00:11:52.280 00:11:55.000 Demilade Agboola: Making certain tweaks to it.

114 00:11:55.110 00:11:58.120 Demilade Agboola: But then, 1104 is in progress.

115 00:11:59.840 00:12:03.970 Awaish Kumar: Okay, so, like, for this week, we have capacity, like, between…

116 00:12:04.380 00:12:08.999 Awaish Kumar: You both, like, we only have two story points for this ticket.

117 00:12:09.830 00:12:16.949 Awaish Kumar: And one for this, so, like, in total three, so we can take on more stuff, and we will figure that out with Robert.

118 00:12:18.910 00:12:22.859 Uttam Kumaran: Yeah, so maybe it’s helpful today if you guys go to the…

119 00:12:23.000 00:12:31.620 Uttam Kumaran: other planning as well, and see what they say. I think Pilate, since you’re gonna have default, looks like Magic Spoon may also…

120 00:12:31.790 00:12:33.320 Uttam Kumaran: Kick off this week.

121 00:12:33.870 00:12:38.209 Uttam Kumaran: I just want to make sure that you feel… Okay, I would just…

122 00:12:38.330 00:12:44.420 Uttam Kumaran: try to centralize as much as possible to Ashwini here, so you can kind of move those two along.

123 00:12:44.560 00:12:45.740 Uttam Kumaran: That would be great.

124 00:12:47.430 00:12:52.289 Uttam Kumaran: I haven’t got the final signature from Addictspoon yet, but I just pinged them this morning, so…

125 00:12:53.840 00:12:54.640 Awaish Kumar: Okay.

126 00:12:56.920 00:13:00.070 Awaish Kumar: And for default.

127 00:13:04.100 00:13:09.400 Awaish Kumar: Yeah, like, Damlade, have you been working on the… modeling tasks.

128 00:13:12.260 00:13:15.290 Demilade Agboola: So for default,

129 00:13:15.760 00:13:20.830 Demilade Agboola: My focus last week was largely Omni. We’ve been able to get a lot of stuff in for Omni.

130 00:13:21.270 00:13:26.010 Demilade Agboola: I think, yeah, more modeling will be happening this week.

131 00:13:26.180 00:13:29.810 Demilade Agboola: But I think in terms of duty initialization.

132 00:13:30.240 00:13:33.140 Demilade Agboola: I think we’re gonna push that to the side for now, because…

133 00:13:33.320 00:13:38.600 Demilade Agboola: Even right now, the data isn’t continuously refreshed, it’s, like, just, it was a one-time load.

134 00:13:38.960 00:13:48.470 Demilade Agboola: And so the modeling that we need would be fine in Omni, and it’s not a large data set, so I think Omni would just be the tool we would use. So I think we can cancel this.

135 00:13:48.830 00:13:50.510 Demilade Agboola: We’ll put it in the backlog, that’s fine.

136 00:13:50.850 00:13:52.020 Demilade Agboola: Yeah, I’m opening.

137 00:13:52.020 00:13:54.370 Awaish Kumar: Dog, if we need it in the future.

138 00:13:54.860 00:14:05.130 Demilade Agboola: Yeah, sure, so… Yeah, but right now, the focus is just modeling more things in, in… Omni?

139 00:14:05.290 00:14:06.480 Demilade Agboola: I think it was John.

140 00:14:09.150 00:14:15.580 Demilade Agboola: Yeah, so this has been… this… so this one was… its focus was modeling things for integration, which I have done.

141 00:14:15.980 00:14:24.390 Demilade Agboola: Which was the dashboard updates requested from Caitlin. I will reach out to Caitlin as well and just see if there are any things they want to see specifically.

142 00:14:24.600 00:14:27.590 Demilade Agboola: And how we could just model to meet those needs in particular.

143 00:14:30.080 00:14:30.750 Awaish Kumar: Okay.

144 00:14:32.560 00:14:37.339 Awaish Kumar: Okay, so, like, this week, you will be working on, like, product data, or…

145 00:14:37.820 00:14:38.770 Demilade Agboola: Yeah.

146 00:14:39.310 00:14:40.030 Awaish Kumar: This one.

147 00:14:42.070 00:14:43.690 Demilade Agboola: Okay,

148 00:14:44.220 00:14:54.550 Demilade Agboola: I guess, yes, I think that’ll probably be the best, the next thing to do. So, I’ve already done integration and stuff, product stuff was done prior to me coming, so I guess it would just be a combination of both.

149 00:14:54.990 00:14:55.640 Awaish Kumar: Okay.

150 00:14:57.760 00:15:04.119 Awaish Kumar: Yeah, this one is… it seems like it’s still blocked, from the client, so…

151 00:15:04.120 00:15:10.360 Uttam Kumaran: Yeah, I also, that was the one thing, Demolati, I was wondering if you ended up booking, like, office hours?

152 00:15:10.630 00:15:13.030 Uttam Kumaran: Are you gonna start running that?

153 00:15:18.230 00:15:19.370 Uttam Kumaran: You’re on mute.

154 00:15:22.150 00:15:27.289 Demilade Agboola: Sorry, I forgot to unmute myself. Yes, I had sent the message to the group.

155 00:15:27.510 00:15:39.930 Demilade Agboola: That we’ll be doing at 12 o’clock ET. I will just send the link to the chat… to the chat today, and try and get them to know that, yeah, this is the link to join the meeting in particular.

156 00:15:40.340 00:15:51.119 Uttam Kumaran: Okay, yeah, I don’t… I just didn’t see it on my calendar, so I was just confirming. I don’t… I don’t necessarily… I mean, maybe invite me, I’ll just put a… I’m gonna put it as maybe, but, yeah.

157 00:15:51.370 00:15:54.960 Uttam Kumaran: I would just invite everybody that basically was on the last invite, so…

158 00:15:57.060 00:16:00.449 Awaish Kumar: Yeah, can we estimate some miles for this ticket?

159 00:16:02.830 00:16:08.200 Demilade Agboola: This should be, like… Probably, like, 3 points.

160 00:16:09.760 00:16:16.730 Awaish Kumar: Oh, that’s the odds Okay, and these office hours are for default, or…

161 00:16:17.090 00:16:18.140 Uttam Kumaran: Yeah. Yes.

162 00:16:18.140 00:16:19.060 Demilade Agboola: by default.

163 00:16:19.570 00:16:22.310 Awaish Kumar: So, okay, I will just create a placeholder for that.

164 00:16:36.140 00:16:37.729 Awaish Kumar: This one hourly.

165 00:16:43.590 00:16:51.620 Awaish Kumar: Okay, this week, like, we will be spanning from, like, 4 story points from analytics side, For now.

166 00:16:53.300 00:16:58.750 Uttam Kumaran: Yeah, I think the other… only other ticket for Mustafa… did you create the one that I asked for today?

167 00:16:58.750 00:17:02.210 mustafa: Yeah, it’s, 197.

168 00:17:02.350 00:17:07.240 mustafa: Book of Omni with GitHub. And then other than that.

169 00:17:11.530 00:17:12.830 Awaish Kumar: This is foremost.

170 00:17:13.130 00:17:14.169 mustafa: Yeah, yeah, yeah.

171 00:17:14.170 00:17:14.880 Awaish Kumar: Okay.

172 00:17:18.800 00:17:20.730 Uttam Kumaran: And then, can you go back to that page?

173 00:17:21.839 00:17:25.119 Uttam Kumaran: So 162 is done.

174 00:17:30.020 00:17:30.530 Awaish Kumar: Truth.

175 00:17:30.530 00:17:31.050 Uttam Kumaran: One…

176 00:17:31.050 00:17:33.970 mustafa: It’s… it’s in progress, yeah. Once that’s done.

177 00:17:39.990 00:17:44.650 mustafa: We can also move by 184 to Dan. This was,

178 00:17:45.030 00:17:49.830 mustafa: This was just to coordinate with Thomas. 184 in… yeah, yeah, this one.

179 00:17:51.680 00:17:53.490 Uttam Kumaran: You can also right-click Awish.

180 00:17:54.150 00:17:56.070 Awaish Kumar: Oh, okay, all the ticket.

181 00:17:56.670 00:18:06.079 mustafa: And also, 191… Actually, 175, this is actually now moved to Demiladi.

182 00:18:06.390 00:18:12.010 mustafa: So, so this is actually, just 191, so we could…

183 00:18:12.350 00:18:16.119 Awaish Kumar: Ticket for WLR day was for data modeling, it was dark, so, like.

184 00:18:16.120 00:18:20.699 mustafa: Yeah, so, so, so the,

185 00:18:21.200 00:18:29.549 mustafa: This, this means… this is the, data modeling one, right? So the parent ticket here is the dashboard updates, right?

186 00:18:29.740 00:18:38.209 mustafa: Which was assigned to me, which is now assigned to, the Milate, so we can… what we can do is make this duplicate.

187 00:18:38.360 00:18:41.389 mustafa: To the 191 that Demilade has.

188 00:18:44.320 00:18:45.000 Awaish Kumar: Okay.

189 00:18:45.550 00:18:47.930 mustafa: Yeah, let’s just make it duplicate.

190 00:18:49.370 00:18:50.439 mustafa: We should be good.

191 00:18:56.790 00:18:58.030 Awaish Kumar: Well, you can set it…

192 00:18:58.280 00:19:00.059 mustafa: Status duplicate.

193 00:19:00.720 00:19:01.470 Uttam Kumaran: At the top.

194 00:19:02.270 00:19:03.929 mustafa: Yeah, at the time.

195 00:19:03.930 00:19:05.970 Uttam Kumaran: Yeah, you can also do that one.

196 00:19:09.170 00:19:10.279 mustafa: Yeah, 191.

197 00:19:15.730 00:19:16.990 Awaish Kumar: 190…

198 00:19:16.990 00:19:20.269 mustafa: 1, 191, that is in progress, yeah, yeah, this one.

199 00:19:20.870 00:19:21.520 Awaish Kumar: Okay.

200 00:19:24.920 00:19:28.639 Awaish Kumar: Okay, for us far, like, you have been setting up the GitHub, and then…

201 00:19:30.380 00:19:34.010 mustafa: Yeah, so, for $1.78, if you open this up…

202 00:19:37.510 00:19:37.900 Awaish Kumar: Okay.

203 00:19:37.900 00:19:49.760 mustafa: So, so for Harmonic, Caitlin has sent data to Harmonic, and they will send us back, the enriched data, and I’ll just run the analysis on that.

204 00:19:49.800 00:20:01.020 mustafa: Snitcher and Ocean.io, we, we have canceled those. And let’s update Clearbit to done, and also…

205 00:20:01.200 00:20:03.220 mustafa: Apollo to Dan.

206 00:20:05.900 00:20:14.010 mustafa: I’m working on, the comparison doc, and the master sheet. Once those are done, I’ll ship this.

207 00:20:14.750 00:20:17.840 mustafa: And then wait for Harmonic to come.

208 00:20:19.370 00:20:21.740 Awaish Kumar: Okay, how much time did you spend over.

209 00:20:21.740 00:20:23.099 mustafa: Yeah, let’s do 5.

210 00:20:30.940 00:20:34.000 mustafa: Yeah, this is… this is pretty much it, I think, for my side.

211 00:20:34.140 00:20:37.499 mustafa: Also, if you go back…

212 00:20:38.810 00:20:44.789 mustafa: Let’s also move 180 and 182…

213 00:20:45.290 00:20:48.570 mustafa: These ones, yeah. Let’s move these two down.

214 00:20:56.930 00:20:57.570 Awaish Kumar: Weird.

215 00:20:58.280 00:20:59.460 mustafa: Yeah, this is good.

216 00:21:05.770 00:21:08.359 Awaish Kumar: About from that, we have ABC.

217 00:21:12.080 00:21:16.120 Awaish Kumar: casey, like, do you want to give updates?

218 00:21:19.030 00:21:20.019 Awaish Kumar: This is kissing.

219 00:21:20.020 00:21:22.410 mustafa: Thank you so much. Daisy’s out today.

220 00:21:22.880 00:21:24.180 mustafa: Till Wednesday.

221 00:21:25.220 00:21:33.560 mustafa: So Sam and I met, met on Friday, discussed the migration plan a little.

222 00:21:34.110 00:21:47.470 mustafa: So, my, my progress report on that is, I was able to, divide the master agent to 3 different agents, but, the problem with that was,

223 00:21:47.690 00:22:00.100 mustafa: I had to either, you know, make my own workflow with API, or pass the sub-agents as tool to the router agent.

224 00:22:00.100 00:22:09.440 mustafa: And I saw that Mastra has a workflow too, so I want… what I will do is I will explore what the workflow in Mastra does for us.

225 00:22:09.730 00:22:18.580 mustafa: And if it’s good enough, I’ll do that, or else I’ll just, do, do an API.

226 00:22:19.180 00:22:20.000 Awaish Kumar: Can we…

227 00:22:20.430 00:22:24.250 mustafa: Yeah, we don’t… we don’t… I did not create a ticket for that, I’ll create… create one.

228 00:22:24.250 00:22:27.380 Awaish Kumar: Can we just move these? Like, what are these tickets?

229 00:22:27.930 00:22:36.199 mustafa: These, these would need, the ones in review, I’ll check with Amber if these are good.

230 00:22:37.340 00:22:42.490 mustafa: And, and 117 might have came back from client.

231 00:22:45.470 00:22:47.979 Awaish Kumar: Okay, so you will be working on these issues.

232 00:22:47.980 00:22:49.069 mustafa: Yeah, yeah, yeah.

233 00:22:51.970 00:22:54.650 Awaish Kumar: Okay, yeah, please create the tickets.

234 00:22:54.650 00:22:56.270 mustafa: Yeah, I’ll undo that.

235 00:22:56.580 00:23:01.330 Awaish Kumar: And, like, yeah, is there anything else, Sam, you want to add for this guy?

236 00:23:03.100 00:23:08.250 Samuel Roberts: no, I’m… Mustafa, let’s just connect after this meeting.

237 00:23:08.530 00:23:09.010 mustafa: Yeah.

238 00:23:09.270 00:23:15.110 Samuel Roberts: do a AI… Meeting later today anyway, so… Look out for.

239 00:23:15.110 00:23:15.760 mustafa: Yeah, yeah.

240 00:23:15.760 00:23:18.570 Samuel Roberts: But we’ll discuss it then, if not, we’ll discuss it one-on-one.

241 00:23:19.040 00:23:29.359 Uttam Kumaran: Yeah, I think there’s also, like, a couple tickets that came out of my meeting with the ABC client last week, like, some updates to the dashboard. Did that already get added?

242 00:23:39.040 00:23:41.680 Awaish Kumar: There are these trash tickets?

243 00:23:47.840 00:23:48.900 Uttam Kumaran: Let me see…

244 00:23:50.110 00:23:54.490 Awaish Kumar: Then these are the ones which are… assigned to KC.

245 00:24:00.360 00:24:03.800 Uttam Kumaran: Yeah, I mean, I think these… these were the…

246 00:24:05.000 00:24:07.170 Uttam Kumaran: These are 3 that I requested.

247 00:24:07.550 00:24:08.620 Uttam Kumaran: From Amber.

248 00:24:09.430 00:24:14.910 Uttam Kumaran: Maybe, Mustafa, I can ask you if you can create tickets for each of these?

249 00:24:14.910 00:24:19.680 mustafa: Yeah, yeah, yeah, I’ll do that.

250 00:24:19.680 00:24:26.179 Uttam Kumaran: And then, I’d like to see, like, a… like, do we think the migration is gonna be done

251 00:24:26.920 00:24:32.369 Uttam Kumaran: By Christmas… like, can we start to see, like, a little bit of a Gantt chart?

252 00:24:32.960 00:24:34.010 Samuel Roberts: Yeah, I was gonna…

253 00:24:34.200 00:24:37.810 Samuel Roberts: Okay. Got that. I was… since Casey’s out, I was gonna take a swing at that today.

254 00:24:37.810 00:24:39.779 Uttam Kumaran: Okay, okay, thanks, that would be great.

255 00:24:40.280 00:24:40.800 Samuel Roberts: Yeah.

256 00:24:42.380 00:24:43.150 Awaish Kumar: Okay.

257 00:24:44.520 00:24:45.100 Uttam Kumaran: Ugh.

258 00:24:47.170 00:24:52.120 Uttam Kumaran: Yeah, let me know if you have issues with Instagant. I’m gonna be working on some Gantt stuff, too.

259 00:24:52.120 00:24:53.570 Samuel Roberts: For ABC later.

260 00:25:00.320 00:25:02.739 Surf’s iPhone: Can you send me access to that Instagant thing?

261 00:25:03.850 00:25:04.520 Uttam Kumaran: Yep.

262 00:25:17.970 00:25:23.969 Uttam Kumaran: Okay, yeah, I feel good about, this awash. As long as those new tickets come in, that’s fine.

263 00:25:24.720 00:25:29.259 Awaish Kumar: Yeah, but, like, as you mentioned a few tickets, are they assigned to Amber, or which one?

264 00:25:30.000 00:25:31.860 Uttam Kumaran: No, I put them in the Zoom chat.

265 00:25:32.740 00:25:35.110 Uttam Kumaran: Gonna be… Mustafa.

266 00:25:37.940 00:25:38.640 Awaish Kumar: Okay.

267 00:25:42.410 00:25:49.330 Awaish Kumar: Okay, then we can move on to the… so we don’t have anything on upper stems yet.

268 00:25:50.170 00:25:51.810 Awaish Kumar: No.

269 00:25:52.250 00:25:59.070 Awaish Kumar: We can go over all the data engineering side first, so we’ll just… Move to the adamant.

270 00:25:59.870 00:26:00.450 Uttam Kumaran: Okay?

271 00:26:03.090 00:26:05.399 Awaish Kumar: Yeah, I… I don’t know. So…

272 00:26:05.550 00:26:07.809 Awaish Kumar: So, for the element, like,

273 00:26:07.970 00:26:14.490 Awaish Kumar: we… for this week, like, I’m planning to… add a metric subscription, like.

274 00:26:14.950 00:26:19.600 Awaish Kumar: With the finalized structure, and whatever of the metrics we know, for now.

275 00:26:20.450 00:26:21.020 Uttam Kumaran: Damn.

276 00:26:21.930 00:26:30.840 Awaish Kumar: then I want to work on maybe spying for, like, the memo for, like, finalizing the… Pi tool?

277 00:26:32.430 00:26:46.460 Uttam Kumaran: I guess one… maybe suggest… one, let’s… yeah, I think the most urgent thing is if you can… if we can finalize the format for the metrics dictionary. The second thing is I just updated the Emerson Walmart doc in GitHub.

278 00:26:46.830 00:26:49.939 Uttam Kumaran: Should we… can we… can we wrap up the,

279 00:26:50.970 00:26:56.989 Uttam Kumaran: Can we wrap up the, target data in there?

280 00:26:57.980 00:27:00.580 Awaish Kumar: like, I did edit the target data, like.

281 00:27:00.580 00:27:02.369 Uttam Kumaran: Oh, really? Okay, I thought it was just Walmart.

282 00:27:02.950 00:27:11.260 Awaish Kumar: No, no, I added both, like, Walmart and Target. She requested another chart for Walmart. I will just add that. That will be very quick, so…

283 00:27:11.530 00:27:16.920 Awaish Kumar: And I also took a look at the document, and… Cleared up a little bit.

284 00:27:17.560 00:27:20.789 Uttam Kumaran: Take a look at the… take a look at the one I just pushed in GitHub.

285 00:27:21.390 00:27:23.179 Uttam Kumaran: You might find it helpful.

286 00:27:24.290 00:27:25.060 Awaish Kumar: Okay.

287 00:27:25.560 00:27:27.480 Uttam Kumaran: Because it has some more narrative in there?

288 00:27:27.730 00:27:30.549 Uttam Kumaran: And then, we have a data warehouse one.

289 00:27:31.250 00:27:34.250 Uttam Kumaran: I don’t know if you ended up starting that, but I can work on that today.

290 00:27:35.520 00:27:39.080 Awaish Kumar: Yeah, but data warehousing, I already worked on that, that, like… Okay, go ahead.

291 00:27:39.080 00:27:40.759 Uttam Kumaran: Let me review that one today.

292 00:27:40.760 00:27:41.340 Awaish Kumar: Yup.

293 00:27:42.570 00:27:46.729 Awaish Kumar: That is something, like, just need your review, and we can update.

294 00:27:46.850 00:27:49.040 Awaish Kumar: Based on your feedback, and we can ship it.

295 00:27:49.870 00:27:50.570 Uttam Kumaran: Okay.

296 00:27:51.320 00:27:56.079 Awaish Kumar: And then metrics dictionary, and then, yeah, I will look at Emerson. So, like…

297 00:27:56.750 00:27:58.509 Awaish Kumar: Does that look good for this week?

298 00:28:00.620 00:28:01.170 Awaish Kumar: Or…

299 00:28:01.170 00:28:01.850 Uttam Kumaran: I think so.

300 00:28:03.600 00:28:08.479 Uttam Kumaran: Yeah, I think that’s pretty good. I think we’re also… let’s start the deck earlier this week.

301 00:28:08.930 00:28:16.809 Awaish Kumar: But, like, I think we should have started gesture, like, we only are almost… That is a wave flow.

302 00:28:18.130 00:28:18.810 Awaish Kumar: Christmas.

303 00:28:18.810 00:28:19.610 Uttam Kumaran: Sorry?

304 00:28:20.450 00:28:25.709 Awaish Kumar: like, we are only 10 days away from Christmas, so should we start ingesting also? I don’t know if…

305 00:28:25.710 00:28:29.500 Uttam Kumaran: I can’t… until they make the decision on polyatomic, we can’t do anything.

306 00:28:29.880 00:28:31.770 Awaish Kumar: Oh, we have a call today.

307 00:28:31.970 00:28:33.889 Uttam Kumaran: Yeah, so as soon as that’s…

308 00:28:34.760 00:28:37.460 Uttam Kumaran: That has to build through, basically, you know?

309 00:28:37.780 00:28:38.520 Awaish Kumar: Okay.

310 00:28:39.140 00:28:39.720 Uttam Kumaran: Yeah.

311 00:28:42.420 00:28:45.850 Awaish Kumar: Okay, yeah, that’ll… for CTA.

312 00:28:47.230 00:28:48.480 Awaish Kumar: Yeah.

313 00:28:48.880 00:28:54.749 Uttam Kumaran: Yeah, for CTA, I think I also want to add… can we add, one ticket here, a wish for Sam, which is…

314 00:28:55.080 00:29:00.390 Uttam Kumaran: Like a scoping document for…

315 00:29:01.450 00:29:05.460 Uttam Kumaran: The two… scoping document for two discovery workflows.

316 00:29:05.970 00:29:20.729 Uttam Kumaran: And then, I know, at the end of this call, also, I want to just share how I’m doing writing in Cursor, because I think I have… I’m assigning… there’s a lot of tasks this week that are, like, planning, writing, things like that. I want to show you guys, like, how you can…

317 00:29:21.120 00:29:26.430 Uttam Kumaran: basically cut the time to do those, like, by, like, 90%, so I’ll share that right after this.

318 00:29:26.920 00:29:32.069 Awaish Kumar: Okay, is there anything else? Ashwani, do you want to give updates?

319 00:29:32.130 00:29:32.920 Ashwini Sharma: Yeah, so…

320 00:29:32.920 00:29:41.110 Uttam Kumaran: Also, I saw one thing for Ashwini, I also want Ashwini to own the, like, Gantt chart for the data work stream.

321 00:29:42.270 00:29:47.439 Uttam Kumaran: And if we need… you can also start creating tickets in here as the week goes on.

322 00:29:47.530 00:29:48.680 Ashwini Sharma: Yeah.

323 00:29:48.680 00:29:56.369 Uttam Kumaran: maybe just broadly on this client, I think, Ashwini, once we get more into modeling.

324 00:29:56.770 00:29:59.430 Uttam Kumaran: We may need to loop in one more person.

325 00:30:00.810 00:30:01.780 Ashwini Sharma: Yeah.

326 00:30:03.420 00:30:07.519 Uttam Kumaran: I don’t think… I think we’ll… I mean, OH, I guess we’ll have to look at

327 00:30:08.020 00:30:12.520 Uttam Kumaran: capacity, but I don’t think we have… Enough.

328 00:30:12.840 00:30:20.190 Uttam Kumaran: Yeah, so we may have to go, like… I mean, right now, Dummies on 3…

329 00:30:22.210 00:30:24.449 Uttam Kumaran: I guess it’s… I mean, it’s really up, like.

330 00:30:24.450 00:30:25.009 Awaish Kumar: How are you doing?

331 00:30:25.450 00:30:26.020 Awaish Kumar: web…

332 00:30:26.020 00:30:26.929 Uttam Kumaran: Yeah, go ahead.

333 00:30:27.560 00:30:31.679 Awaish Kumar: So, I said, ideally two, but, but yeah, EDR is still…

334 00:30:31.920 00:30:35.209 Awaish Kumar: Here and there, we are getting some stuff there.

335 00:30:35.430 00:30:36.999 Awaish Kumar: Debbie and me both.

336 00:30:37.570 00:30:38.120 Awaish Kumar: But, yeah.

337 00:30:38.120 00:30:38.640 Uttam Kumaran: Yeah, so…

338 00:30:38.640 00:30:41.269 Awaish Kumar: We just want to get everything to actually.

339 00:30:42.610 00:30:47.519 Demilade Agboola: What’s the volume of things on CTA? Like, is there a lot of data? Is there time?

340 00:30:47.520 00:30:49.379 Uttam Kumaran: Yeah, it’s gonna get high next month.

341 00:30:50.740 00:30:51.660 Demilade Agboola: Oh, okay.

342 00:30:53.000 00:30:53.520 Awaish Kumar: No.

343 00:30:53.770 00:30:54.120 Awaish Kumar: Oh, ion…

344 00:30:54.120 00:30:59.900 Uttam Kumaran: Can you show, Ashwini, can you share the Gantt chart really quick? I can just show… we can just show everybody where we are in the project?

345 00:30:59.900 00:31:01.030 Ashwini Sharma: One second.

346 00:31:01.490 00:31:02.860 Uttam Kumaran: Okay, no problem, thanks.

347 00:31:09.750 00:31:11.979 Ashwini Sharma: Right over here.

348 00:31:17.630 00:31:22.250 Uttam Kumaran: Yeah, so, if you take a look, we are,

349 00:31:22.540 00:31:26.110 Uttam Kumaran: Basically, right now, deciding on the data ingestion tool.

350 00:31:26.320 00:31:29.989 Uttam Kumaran: And then we’re gonna sort of move into modeling.

351 00:31:30.270 00:31:35.679 Uttam Kumaran: We’re gonna probably push… Yeah, after last week’s conversation, we’re gonna push back.

352 00:31:35.890 00:31:37.749 Uttam Kumaran: the BI tool decisions.

353 00:31:38.100 00:31:43.909 Uttam Kumaran: But yeah, maybe, Ashwin, if you want to clean this up, that would be great. But basically,

354 00:31:44.520 00:31:50.880 Uttam Kumaran: In January, we’re gonna have a ton of modeling stuff here at DeLare. The nice thing is.

355 00:31:51.190 00:31:53.699 Uttam Kumaran: This isn’t, like, a super stressed client.

356 00:31:54.270 00:31:59.229 Uttam Kumaran: But there’s a lot of work, and there’s a lot of budget, so…

357 00:32:00.880 00:32:05.369 Uttam Kumaran: It’s up for up… it’s for us to decide, like, right now, we have me, Awash.

358 00:32:05.870 00:32:09.629 Uttam Kumaran: Mia, Wish, Ashwini, and Demi, the four of us.

359 00:32:10.010 00:32:14.150 Uttam Kumaran: are working, like, DEA stuff, right? So…

360 00:32:14.740 00:32:23.680 Uttam Kumaran: We have Eden, CTA, Magic Spoons, Default, Urban Stems, element. So, 6.

361 00:32:24.440 00:32:29.669 Uttam Kumaran: And I’m sort of, like, my time is, like, kind of messed, so… I feel like…

362 00:32:30.660 00:32:36.499 Uttam Kumaran: Either we try to tackle it with our crew, or maybe I… we go try to find one more.

363 00:32:38.230 00:32:41.680 Awaish Kumar: We… we do need at least, like, 20 hours.

364 00:32:43.200 00:32:44.619 Awaish Kumar: Per week, I would say.

365 00:32:45.650 00:32:47.960 Awaish Kumar: Apart from all of us.

366 00:32:47.960 00:32:48.720 Uttam Kumaran: Yes.

367 00:32:49.700 00:32:58.709 Demilade Agboola: So that’s why I was asking, like, what the… because I can see the Gantt chart, and it appears that basically from January to February, that’s, like, one month of modeling.

368 00:33:01.250 00:33:07.630 Demilade Agboola: I’m just curious as to, do we know the scope of the modeling? Is it… is there a lot of data? Are we looking at revenue?

369 00:33:07.630 00:33:14.650 Uttam Kumaran: This is just modeling for one, for, like, two or three sources. This doesn’t indicate any scope past…

370 00:33:15.130 00:33:17.750 Uttam Kumaran: past.

371 00:33:17.970 00:33:22.049 Uttam Kumaran: February, because… or past, yeah, past March, because that’s just our…

372 00:33:22.460 00:33:26.390 Uttam Kumaran: Our contract… so right now, I’m deciding on the Q1 contract.

373 00:33:26.790 00:33:35.520 Uttam Kumaran: Initially, they want us to drive towards, like, one specific modeling request, but there’s about 50 sources.

374 00:33:36.000 00:33:38.469 Uttam Kumaran: Total, and there’s probably, like.

375 00:33:39.220 00:33:42.330 Uttam Kumaran: 16 that are, like, P0, P1.

376 00:33:42.780 00:33:44.580 Uttam Kumaran: So this doesn’t encompass…

377 00:33:44.860 00:33:52.289 Uttam Kumaran: the… what we’re projecting to be able to do for them. I think there’s gonna be at least 20 to 30 hours of modeling work here, like, a week.

378 00:33:57.290 00:34:00.669 Demilade Agboola: If he’s 20 to 30…

379 00:34:05.500 00:34:08.440 Demilade Agboola: I mean, it just… it just sort of depends on, like…

380 00:34:09.110 00:34:25.729 Uttam Kumaran: If you can handle 3, Magic Spoon… Default… And… this… Plus, like, random stuff from Eden and…

381 00:34:26.340 00:34:29.870 Uttam Kumaran: Urban stems, like, that just seems like a full plate.

382 00:34:31.780 00:34:36.130 Awaish Kumar: That’ll… Then we have startups, internal meetings.

383 00:34:36.139 00:34:37.309 Uttam Kumaran: It’s up to you, though.

384 00:34:37.310 00:34:37.870 Awaish Kumar: Yeah.

385 00:34:41.409 00:34:47.619 Demilade Agboola: I mean, I could definitely stretch it, but I’ll probably just try, like, as much as possible for, like, the eating stuff to push it.

386 00:34:47.949 00:34:48.869 Demilade Agboola: 2.

387 00:34:49.529 00:34:51.199 Demilade Agboola: I don’t know, someone else on the team.

388 00:34:51.509 00:34:52.379 Uttam Kumaran: But…

389 00:34:53.929 00:34:55.279 Demilade Agboola: Potentially.

390 00:34:55.949 00:35:13.429 Demilade Agboola: I just… I just want us to, like, if we have an idea of, like, what the scope is, it does really help to know, like, okay, this… this is what they need, these are the sources, these are the two sources we’re modeling, and this is the final dashboard we want to push… push out. It helps to, like, quantify, sort of, the…

391 00:35:14.700 00:35:17.900 Uttam Kumaran: Yeah, we don’t… we just don’t… we just don’t have it yet, but…

392 00:35:18.290 00:35:23.509 Uttam Kumaran: I guess my trouble is, like, if we need to bring on another person, I have to go source

393 00:35:24.360 00:35:25.410 Uttam Kumaran: now.

394 00:35:26.590 00:35:32.370 Uttam Kumaran: Like, we will have more scope, but we’re just, like, in planning mode. All I know is gonna be a lot.

395 00:35:33.550 00:35:34.590 Uttam Kumaran: So…

396 00:35:35.900 00:35:43.050 Demilade Agboola: But I think potentially what we could do is we could have someone, in, like…

397 00:35:43.490 00:35:48.360 Demilade Agboola: Like, on the bench, in case anything just, like, explodes, or if, like, the volume is…

398 00:35:48.480 00:35:50.329 Demilade Agboola: Yeah, potentially more than that.

399 00:35:50.630 00:35:53.819 Demilade Agboola: But yeah, so this one on the bench in case that, that happens.

400 00:35:55.080 00:35:56.069 Uttam Kumaran: Okay, okay.

401 00:36:00.190 00:36:01.820 Awaish Kumar: Perfect. Okay.

402 00:36:03.330 00:36:05.550 Awaish Kumar: Move ahead.

403 00:36:05.550 00:36:06.120 Uttam Kumaran: Quite.

404 00:36:13.320 00:36:18.480 Awaish Kumar: Okay, for this week, basically, like, we are still working on report automation, I should think?

405 00:36:19.180 00:36:24.280 Ashwini Sharma: Yeah, I’m working on report automation as well as building the DBTs directly from Snowflake.

406 00:36:24.550 00:36:36.989 Ashwini Sharma: So today, almost the entire day, I’m working on building that dbt. It does not work with the typical R structure that we have followed for conventional dbt projects, right? There are things that needs to be different.

407 00:36:37.420 00:36:46.140 Ashwini Sharma: And I have been able to execute it right from the console in Snowflake, but we’ll need some kind of automation, right? And,

408 00:36:46.490 00:36:59.750 Ashwini Sharma: that automation can be either through, cronTask within Snowflake, or it can be through, what do you call it, GitHub Actions, right? And CTA Catherine is not really,

409 00:37:00.470 00:37:02.969 Ashwini Sharma: a fan of GitHub Actions, so…

410 00:37:03.150 00:37:07.520 Ashwini Sharma: I think I’ll go ahead with, crown task on Snowflake directly.

411 00:37:08.550 00:37:13.640 Awaish Kumar: So, like, the… So why we decided to, like, edit the snowflake?

412 00:37:14.880 00:37:21.680 Ashwini Sharma: No, we didn’t want to go through that, GitHub Actions route, right? The other way around was,

413 00:37:21.870 00:37:26.170 Ashwini Sharma: Like, we could use some other orchestrator to run the dbt models.

414 00:37:26.750 00:37:27.460 Awaish Kumar: Okay.

415 00:37:27.630 00:37:32.419 Ashwini Sharma: Right, and Snowflake already provides some kind of a native integration with dbt.

416 00:37:32.880 00:37:40.649 Ashwini Sharma: So you can use workspaces and include a dbt project directly into that, and then run it from Snowflake, within Snowflake.

417 00:37:42.030 00:37:43.150 Awaish Kumar: Okay, yeah.

418 00:37:45.850 00:37:52.280 Awaish Kumar: Okay, that’s all for CTA. For Hydra, I saw… a message from Cedra.

419 00:37:53.380 00:37:56.980 Uttam Kumaran: Yeah, so Wage, I feel like Hydra’s gonna be all you, basically.

420 00:37:58.340 00:38:03.980 Awaish Kumar: Yeah, okay, I will take a look at those asks and try to create all the tickets.

421 00:38:04.700 00:38:10.090 Awaish Kumar: Right. So how… how much we should be spending? Max 10 hours, or…

422 00:38:13.660 00:38:20.170 Uttam Kumaran: Yeah, you don’t really have, like, a big max. You don’t… I mean, you don’t really have, like, a max, it’s just gonna be as stuff comes in.

423 00:38:22.120 00:38:27.220 Awaish Kumar: Okay, so, like, so they’re not committed on, like, minimum for now, so we just…

424 00:38:27.780 00:38:30.280 Uttam Kumaran: Yeah, I would just bill as we go.

425 00:38:35.060 00:38:39.640 Awaish Kumar: Okay, I will take a look at the… look at it then.

426 00:38:40.470 00:38:43.459 Awaish Kumar: Is there anything called Aristigo yet?

427 00:38:44.200 00:38:51.410 Uttam Kumaran: No, I’m waiting on confirmation for them on, like, what we’re gonna do on the… The data side, so…

428 00:38:52.570 00:38:54.339 Uttam Kumaran: Like, in terms of.

429 00:38:56.390 00:38:57.830 Awaish Kumar: AD, so I do.

430 00:38:57.830 00:39:01.989 Uttam Kumaran: Yeah, in terms of, like, ETL and stuff like that, so I don’t have an answer yet.

431 00:39:04.050 00:39:08.619 Awaish Kumar: Okay, yeah, then we can just go and discuss, Lilo.

432 00:39:10.110 00:39:12.889 Awaish Kumar: So, yeah, Safi, you can go.

433 00:39:15.180 00:39:20.269 Awaish Kumar: He’s not here, so, like, Sam, have you been working on only low-end?

434 00:39:23.120 00:39:28.409 Samuel Roberts: No, I gotta get with him today, and… See how things went Friday.

435 00:39:30.570 00:39:30.990 Awaish Kumar: Okay.

436 00:39:30.990 00:39:32.430 Samuel Roberts: chatted with him this morning.

437 00:39:32.980 00:39:39.459 Uttam Kumaran: Yeah, we just… I mean, we just had our meeting on Friday, so there’s, like, I think this week, we need to just…

438 00:39:39.610 00:39:45.990 Uttam Kumaran: Basically confirm the, PRD.

439 00:39:46.840 00:39:49.229 Uttam Kumaran: Finally, and then…

440 00:39:49.540 00:39:59.070 Uttam Kumaran: basically, I want to just get a Gantt chart going. So, I think for this, Pranav, lean on Pranav for a lot of the planning here, Sam, but I think…

441 00:39:59.540 00:40:10.759 Uttam Kumaran: like, so have him, he can own tickets and own, like, the Gantt creation. I think, ultimately, I want your sign-off on the Gantt and on the PRD.

442 00:40:10.880 00:40:11.980 Uttam Kumaran: Yeah.

443 00:40:12.400 00:40:13.640 Uttam Kumaran: And then…

444 00:40:14.440 00:40:24.680 Uttam Kumaran: I think when… when… if we… let’s… if we… I think… I wish we’ll most likely move ABC, Lilo, and Remo to another meeting.

445 00:40:24.880 00:40:31.129 Uttam Kumaran: After today, so assume that we’ll start talking about that there, we don’t need to…

446 00:40:31.270 00:40:32.130 Uttam Kumaran: Pop the time here.

447 00:40:33.640 00:40:39.019 Awaish Kumar: Okay, yeah, we don’t have anything on Rebo, like, since Surface’s not here.

448 00:40:39.420 00:40:40.000 Uttam Kumaran: Okay.

449 00:40:41.210 00:40:44.909 Awaish Kumar: Yeah, so Gap Blue, like, do you want to give any updates on your internal work?

450 00:40:46.030 00:40:52.470 Gabriel Lam: For internal work, I think we took a step back last week. I think I…

451 00:40:53.470 00:40:55.460 Gabriel Lam: I’m going to try to set up

452 00:40:55.620 00:41:06.349 Gabriel Lam: the cursor webinar seminar with Utam sometime this week. I’m gonna work on that today, just to do the logistics. And then the contextual partnership, I’m meeting with Ian at the end of the week.

453 00:41:06.900 00:41:09.060 Gabriel Lam: Probably on Thursday.

454 00:41:09.730 00:41:12.440 Uttam Kumaran: Is there anything we can move forward on that before then?

455 00:41:12.950 00:41:18.969 Gabriel Lam: He said he was out all of last week, and that he’s got availability at the later half of this week.

456 00:41:19.460 00:41:25.850 Uttam Kumaran: But I guess, like, the contextual folks offered to help with stuff, like, I don’t want to lose another…

457 00:41:27.330 00:41:32.660 Uttam Kumaran: Yeah, I don’t want to lose another week. Like, what do we need from him In particular.

458 00:41:33.180 00:41:37.089 Samuel Roberts: Can I get a little more context on this, too? What is the… is this from the week after that?

459 00:41:38.140 00:41:42.550 Gabriel Lam: basically… Okay, it’s 2 weeks ago.

460 00:41:42.670 00:41:46.729 Gabriel Lam: UTAM and the contextual AI,

461 00:41:48.430 00:41:51.550 Gabriel Lam: group, guys, had a call to discuss

462 00:41:51.770 00:41:56.550 Gabriel Lam: a potential demo for insurance brokerage. Like.

463 00:41:57.160 00:41:57.750 Samuel Roberts: Okay.

464 00:41:57.900 00:42:04.829 Gabriel Lam: Basically, to, use the platform as a way to market the platform.

465 00:42:05.120 00:42:08.020 Gabriel Lam: Towards a very specific use case.

466 00:42:08.380 00:42:17.900 Gabriel Lam: And the goal is to have a couple small demos, To basically present, to…

467 00:42:18.940 00:42:24.209 Gabriel Lam: Ian, who’s a… insurance broker.

468 00:42:25.090 00:42:25.750 Samuel Roberts: Cool.

469 00:42:25.750 00:42:30.989 Gabriel Lam: And, yeah, so it’s basically using the contextual AI platform to have a few agents that

470 00:42:31.300 00:42:34.849 Gabriel Lam: Are able to achieve a few different use cases in their workflow.

471 00:42:35.680 00:42:36.500 Samuel Roberts: Sweet. Okay.

472 00:42:38.550 00:42:45.100 Uttam Kumaran: Yeah, I just, like, don’t know, I just, like, I want us to start building some stuff, because we… yeah, it…

473 00:42:45.280 00:42:49.399 Uttam Kumaran: last… I mean, this got finalized on the 3rd.

474 00:42:50.220 00:42:52.839 Uttam Kumaran: In terms of, like, scope, so…

475 00:42:53.560 00:43:01.970 Uttam Kumaran: what do you think is possible between now and, like, Wednesday? Like, maybe just chat with the contextual guys, or… I have a lot of familiarity with…

476 00:43:02.270 00:43:03.920 Awaish Kumar: the problem set?

477 00:43:03.970 00:43:08.089 Uttam Kumaran: And, like, what is a good enough demo? Like, what questions can I answer?

478 00:43:14.970 00:43:18.890 Gabriel Lam: I think the main thing that I have questions of is…

479 00:43:23.150 00:43:24.239 Gabriel Lam: How do I phrase this?

480 00:43:24.360 00:43:30.420 Gabriel Lam: I think what the Thursday meeting is good for is more refinement. I think if we want to just get a demo out and be like, hey.

481 00:43:30.590 00:43:32.980 Gabriel Lam: I imagine this is the…

482 00:43:33.640 00:43:41.039 Gabriel Lam: if I just give, like, a workflow for you today, I think I’m happy to have that conversation later.

483 00:43:41.190 00:43:43.710 Gabriel Lam: yeah.

484 00:43:44.180 00:43:50.459 Uttam Kumaran: Well, I guess I just think, like, your time with Ian is gonna be better served talking over, like, something.

485 00:43:50.790 00:43:51.210 Gabriel Lam: Yeah.

486 00:43:51.210 00:44:04.459 Uttam Kumaran: Because he doesn’t have what we have, which is understanding of, like, how to build these. So, I would use his time to get feedback on even anything, like, but something clickable, for sure.

487 00:44:04.460 00:44:05.030 Gabriel Lam: Yep.

488 00:44:05.550 00:44:06.140 Gabriel Lam: Okay.

489 00:44:06.390 00:44:07.200 Uttam Kumaran: You know…

490 00:44:08.210 00:44:09.779 Gabriel Lam: Okay, I’ll tr… I’ll.

491 00:44:09.780 00:44:21.730 Uttam Kumaran: Because anything about the general scope of the problem, I think I can answer. More what I want him to do is talk about, like, what would be compelling to put in front of

492 00:44:22.260 00:44:35.079 Uttam Kumaran: like, basically, if we didn’t know him and we were gonna come to him with a demo, like, what’s compelling in that demo? What is nice to have? What is, like, a must-have? But I do think that if there’s… if there are questions about

493 00:44:35.780 00:44:37.320 Uttam Kumaran: the… the scope.

494 00:44:37.430 00:44:42.079 Uttam Kumaran: I’m happy to answer that, but I also think I want to get the contextual team to start

495 00:44:42.610 00:44:49.150 Uttam Kumaran: working on things with us, so that’s where… Okay. I just don’t want to lose the time between now and Christmas.

496 00:44:49.960 00:44:56.689 Gabriel Lam: Okay. Yeah, I’ll try to set it up by the end of today, and then we can have a… maybe, if we have time at the end of today, we can chat about it.

497 00:44:57.940 00:44:58.750 Uttam Kumaran: Okay, okay.

498 00:45:01.170 00:45:07.229 Gabriel Lam: In terms of migration, Sam and Mustafa, I know we didn’t… weren’t able to get much done last week for…

499 00:45:07.810 00:45:12.049 Gabriel Lam: So… If there’s things that we can achieve this week.

500 00:45:12.200 00:45:14.139 Gabriel Lam: Happy to chat later, but I don’t…

501 00:45:14.540 00:45:16.009 mustafa: And you guys, I think…

502 00:45:16.350 00:45:21.460 mustafa: I think this week, we might be able to work on some internal stuff also.

503 00:45:22.010 00:45:22.710 Gabriel Lam: Okay.

504 00:45:25.010 00:45:26.199 Samuel Roberts: Yeah, we’ll get together.

505 00:45:27.750 00:45:33.870 Uttam Kumaran: Yeah, I think also… Yeah, also, Sam, like, I think this week,

506 00:45:34.040 00:45:37.749 Uttam Kumaran: we’re gonna just leverage Pranav’s time on,

507 00:45:38.550 00:45:41.619 Uttam Kumaran: on… on Remo? I mean, on,

508 00:45:41.840 00:45:54.620 Uttam Kumaran: on Lilo, but I think let’s see… let’s try to see, like, hey, if we were to budget some time for him to help elsewhere on internal stuff, where that could go, because I’d like to give him, like.

509 00:45:54.770 00:45:57.790 Uttam Kumaran: A little bit… some hours there, but he’s just on the.

510 00:45:57.790 00:45:58.190 Samuel Roberts: Okay.

511 00:45:58.540 00:46:00.089 Uttam Kumaran: Trial right now, so…

512 00:46:02.470 00:46:05.730 Samuel Roberts: Okay, yeah, you can… Loop him in there and find some stuff.

513 00:46:09.460 00:46:15.750 Uttam Kumaran: Okay, cool. Yeah, maybe before everyone goes, I just wanted to share, like.

514 00:46:16.040 00:46:20.099 Uttam Kumaran: I don’t know, if I just wanted to share a little bit of, like, how I’m doing some of this writing.

515 00:46:20.420 00:46:26.069 Uttam Kumaran: And maybe, Sam, like, can we even walk through, like, how I would do the CTA thing?

516 00:46:26.180 00:46:27.780 Uttam Kumaran: That’s, like, a good example.

517 00:46:28.080 00:46:31.050 Uttam Kumaran: So…

518 00:46:31.190 00:46:44.450 Uttam Kumaran: I think the first thing, I mean, is just, like, everybody make sure to have, like, cursor installed. We’ll go through a larger seminar, but, I think, Gabe, maybe this will be, like, the speedrun version, and you can tell… you can take this and…

519 00:46:44.740 00:46:49.850 Uttam Kumaran: think about, like, how do we, do one for everyone? But,

520 00:46:50.850 00:46:57.499 Uttam Kumaran: let’s say I wanted to… let’s say my goal, Sam, was to write, like, the discovery scopes

521 00:46:57.630 00:47:06.339 Uttam Kumaran: You know, for what we… what we chatted about. One thing that I’m… I’m looking at now is,

522 00:47:06.790 00:47:14.350 Uttam Kumaran: right now, we just have, like, one folder for CTA, which is, like, Data Engineering CTA.

523 00:47:15.980 00:47:21.320 Uttam Kumaran: what I’m gonna actually do here is first, have AI,

524 00:47:22.080 00:47:28.619 Uttam Kumaran: like, basically establish the repo in the way that we use it, and I just… I don’t know if… I think we…

525 00:47:29.320 00:47:35.089 Uttam Kumaran: I think we’re only using this repo, right, Ashwini? The other one is not being used, or are we using the DataOps one?

526 00:47:35.600 00:47:38.000 Ashwini Sharma: No, it’s the data ops that I’m using.

527 00:47:38.660 00:47:41.110 Uttam Kumaran: Okay, then let me pull, let me pull that one down.

528 00:47:41.660 00:47:42.780 Uttam Kumaran: As well.

529 00:47:56.710 00:47:57.830 Uttam Kumaran: Yay…

530 00:48:15.050 00:48:30.040 Uttam Kumaran: And so… okay, so you see this folder’s here. And so what I’m gonna first start by doing is having AI initialize the repository with our new structure. And so for anyone that’s been,

531 00:48:30.960 00:48:44.949 Uttam Kumaran: for anyone that’s been, like, paying attention to some of the repos, you may see that I’m adding the structure that includes, like, these, which is basically, like, how we’re gonna start to track information about the clients. Meeting agendas.

532 00:48:44.950 00:48:56.639 Uttam Kumaran: notes, transcripts, and resources. The benefit of having all of this context here is that it can all get used by AI to help with beyond just coding in Cursor.

533 00:48:56.640 00:49:03.819 Uttam Kumaran: And so the first thing I’m gonna do is I’m gonna ask, and typically, I’ve been using Opus a lot, I don’t know, it’s kind of nice, you can…

534 00:49:03.860 00:49:14.260 Uttam Kumaran: play around with what you want to use. I would say Sauna is the best for writing. Opus or 5.2, is good for, like, everything else.

535 00:49:14.420 00:49:25.760 Uttam Kumaran: But first thing I’m gonna go ahead and do is say, please initialize… the at CTA DataOps.

536 00:49:26.430 00:49:33.210 Uttam Kumaran: What is that? At CTA slash… That’s what is it?

537 00:49:33.580 00:49:35.100 Uttam Kumaran: Yeah, data ops.

538 00:49:37.180 00:49:37.950 Uttam Kumaran: I think so.

539 00:49:39.030 00:49:41.770 Uttam Kumaran: Okay, if I can’t find it, I’m just gonna go copy path.

540 00:49:42.300 00:49:54.620 Uttam Kumaran: I’m gonna say, please initialize… with… the typical… Work… Flow, folder structure…

541 00:49:56.650 00:50:15.489 Uttam Kumaran: As outlined, and I’ve been using our… the playbook that Gabe created. I have to push some changes, but basically, what you’ll see in this playbook, is you’re gonna see a lot of helpful things, like, a writing guide, which is… just has, like.

542 00:50:15.600 00:50:19.259 Uttam Kumaran: how the AI should write things. So, for example, like.

543 00:50:19.770 00:50:23.870 Uttam Kumaran: I’m gonna start to leverage this a lot as, like, we… I get more…

544 00:50:23.870 00:50:24.360 Samuel Roberts: Sweet.

545 00:50:24.360 00:50:34.219 Uttam Kumaran: I’m opinionated on, like, formatting and, like, structure, and I don’t… not everybody needs to be, so this will have, like, the…

546 00:50:34.510 00:50:45.120 Uttam Kumaran: part of, like, how we want to push out writing, in terms of sections, spacing, structure, like, what’s good, what’s bad. So ideally, this becomes the hub for, like.

547 00:50:45.320 00:50:54.669 Uttam Kumaran: how we write. We also have, like, writing in here, which is, like, okay, here’s an example of, like, an email update, here’s an example of, like, Slack notes.

548 00:50:54.880 00:51:04.570 Uttam Kumaran: will get better over time, PRDs, and then the last thing here is project setup. So every project is gonna come with an agent’s, like, template, which is, like.

549 00:51:04.570 00:51:15.870 Uttam Kumaran: this is just gonna be, like, guiding the agent, like, what is this… what is this repo, basically? There’s gonna be a long-standing discovery wiki, which is just gonna be, like, an ongoing wiki for every single client.

550 00:51:15.890 00:51:19.529 Uttam Kumaran: And it’s just gonna have everything. Like, if you were to just take one document.

551 00:51:19.590 00:51:21.590 Uttam Kumaran: It’s just… this is just gonna have, like.

552 00:51:21.790 00:51:33.570 Uttam Kumaran: almost everything that’s going on. This… consistently, what we’re gonna start to build is I’m gonna build, like, a little bit of some automations that update the wiki, like, on some Ron, so it’s, like.

553 00:51:33.960 00:51:46.540 Uttam Kumaran: it just becomes like a Wikipedia for the client over time. You have notes on how to do a meeting agenda, you also have this workflow guide. So this is the workflow guide for the AI, which says.

554 00:51:46.540 00:52:01.709 Uttam Kumaran: Before a meeting, create an agenda. During a meeting, you take notes. After the meeting, update the agenda with the transcript, and then the AI will actually go update the agenda with the summary, update the wiki, and create, like, follow-up tasks.

555 00:52:03.580 00:52:12.319 Uttam Kumaran: So, what I guess what I’m… what I’m gonna do here first is I’m just gonna initialize the CTA repository with these

556 00:52:12.620 00:52:28.959 Uttam Kumaran: you know, helpful guides, so that if you were to just be in CTA repo, you could… it has all these workflows. So, for example, if you look at the element repo, it’s organized in that way. We haven’t started adding any code, so this is sort of where

557 00:52:29.080 00:52:36.439 Uttam Kumaran: this is organized, basically. So I’m gonna say, please initialize this, and let’s… go ahead and do that.

558 00:52:39.580 00:52:58.000 Uttam Kumaran: Just gonna figure that out. In the meantime, what I’m gonna do is let’s go ahead and get our meeting agenda from, the last time we met to talk about the discovery workflows. And so the way I’m gonna do that is there’s two ways. One, I have, like, granola, so I’m gonna go see, like.

559 00:52:58.280 00:53:04.239 Uttam Kumaran: when did we talk to them? I don’t know, it was sometime last week, right? Like, on Monday or something?

560 00:53:05.130 00:53:08.970 Uttam Kumaran: I guess I’m gonna see, like…

561 00:53:13.630 00:53:17.589 Uttam Kumaran: Yeah, this was 25… I don’t know. So if I search, like, CTA,

562 00:53:20.870 00:53:23.649 Uttam Kumaran: Okay, I feel like we haven’t…

563 00:53:25.840 00:53:31.629 Uttam Kumaran: I don’t think this was it, so… I’m gonna also go look in the platform.

564 00:53:31.750 00:53:38.960 Uttam Kumaran: And so… Go to the platform… And…

565 00:53:39.360 00:53:42.059 Uttam Kumaran: Let’s go ahead and click on CTA…

566 00:53:42.400 00:53:47.730 Uttam Kumaran: And let’s see if there is a meeting from… Okay, Okta Solutions meeting.

567 00:53:48.080 00:53:51.539 Uttam Kumaran: I’m gonna go ahead and copy the transcript.

568 00:53:52.610 00:53:59.310 Uttam Kumaran: And I’m gonna go ahead and check out…

569 00:53:59.970 00:54:08.010 Uttam Kumaran: It’s gonna go… it’s… it’s gonna continue to create stuff. So, what I’m gonna do here, I’m just gonna… I’ll just… I’m gonna keep working while it figures this out.

570 00:54:08.190 00:54:12.599 Uttam Kumaran: I’m gonna go ahead and type in, meeting, transcripts.

571 00:54:13.560 00:54:23.849 Uttam Kumaran: And I’m gonna go ahead and put in a new one called TTA Discovery… Work streams, chat…

572 00:54:24.100 00:54:25.619 Uttam Kumaran: And I’m gonna check the date.

573 00:54:26.120 00:54:28.490 Uttam Kumaran: This was on the 8th?

574 00:54:29.110 00:54:36.799 Uttam Kumaran: So, I’m gonna rename this… to… 12, 8, 175, markdown.

575 00:54:37.060 00:54:49.070 Uttam Kumaran: And I’m gonna paste in… our transcript, this is, like, the, like, we use a,

576 00:54:49.180 00:54:56.039 Uttam Kumaran: a compression algo for the transcript, so you can see it’s, like, combining stuff.

577 00:54:56.420 00:55:03.440 Uttam Kumaran: One thing I was thinking about, though, is some people, you may be nervous, like, if it’s removing too much stuff. I may put in, like, a copy…

578 00:55:03.920 00:55:05.560 Uttam Kumaran: Full and copy…

579 00:55:05.560 00:55:06.840 Samuel Roberts: Yeah, I think that’s…

580 00:55:06.840 00:55:07.750 Uttam Kumaran: Compressed?

581 00:55:07.970 00:55:08.900 Uttam Kumaran: But…

582 00:55:09.590 00:55:17.619 Uttam Kumaran: I also was nervous, but it actually did pretty good. I don’t… it’s never removing… it’s just removing, like, ums and stuff, and, like, basically, like.

583 00:55:18.200 00:55:31.250 Uttam Kumaran: if there’s interruptions, it just combines it. So it’s actually, like, there’s… it has all the fidelity. So, what… basically, at this point, we have the transcript of the meeting we had on these discovery work streams,

584 00:55:31.460 00:55:39.800 Uttam Kumaran: And I’m kind of, like, interested in… we don’t have, like, a playbook for, like, expansion opportunities.

585 00:55:40.080 00:55:45.929 Uttam Kumaran: like, I don’t know what you would call that, like, I guess it’s basically, like, scopes?

586 00:55:46.290 00:55:52.220 Uttam Kumaran: So, maybe what I’m gonna do is I’m gonna have it write the SOWs, for…

587 00:55:52.430 00:56:02.339 Uttam Kumaran: both those work streams, and if you look in here, there is an SOW check… there’s an SOW, template. So…

588 00:56:03.080 00:56:12.490 Uttam Kumaran: This is, like, pretty fine. And as soon as, like, this guy is done, we can go ahead and…

589 00:56:12.760 00:56:13.960 Uttam Kumaran: And do that.

590 00:56:14.330 00:56:20.209 Uttam Kumaran: So we can wait until… This is ready. Any questions?

591 00:56:20.210 00:56:28.610 Samuel Roberts: So I imagine when it’s not generating the whole thing. Yeah, I was gonna say, I imagine you could have multiple agents running when it’s not actually just making the whole structure initially.

592 00:56:28.610 00:56:32.609 Uttam Kumaran: Oh, you can, yeah, yeah. So I usually will, like, kick off, like, 3 or 4 of these in the morning.

593 00:56:32.610 00:56:33.450 Samuel Roberts: Yeah.

594 00:56:33.450 00:56:34.180 Uttam Kumaran: Okay?

595 00:56:35.910 00:56:36.249 Samuel Roberts: As soon as.

596 00:56:36.250 00:56:41.330 Uttam Kumaran: But basically, what I’m gonna prioritize this week is making sure that the playbook.

597 00:56:42.010 00:56:42.440 Samuel Roberts: Yeah, exactly.

598 00:56:42.440 00:56:44.679 Uttam Kumaran: Examples of, like, the best.

599 00:56:44.880 00:56:49.450 Uttam Kumaran: So when you’re writing something, you don’t have to worry about the format.

600 00:56:49.450 00:56:49.880 Samuel Roberts: Sweet.

601 00:56:49.880 00:56:54.250 Uttam Kumaran: you can just say, reference the playbook for the format, but here’s what I’m trying to accomplish.

602 00:56:55.870 00:57:03.539 Uttam Kumaran: And then the next thing I’m also going to try to work on is, like, the ability to create linear tickets using the linear MCP from here.

603 00:57:03.730 00:57:04.620 Samuel Roberts: Oh, yeah.

604 00:57:04.620 00:57:18.510 Uttam Kumaran: So that, like, post-meeting, you put in the transcript, you’re like, create or update the relevant tickets, and I’ll create, like, a little flow for that, too. So, what you saw here is it went ahead and did that, it created all these new files, meeting agendas, notes, transcripts.

605 00:57:19.070 00:57:25.720 Uttam Kumaran: Fire. The other… I’m also gonna put in, our call from the other week.

606 00:57:26.030 00:57:32.570 Uttam Kumaran: from Friday. So this is where Ashwini and I and Catherine discussed

607 00:57:32.770 00:57:44.160 Uttam Kumaran: basically working on these scopes. So I’m gonna put in a new file called CTA, we’ll call it Brainforge, CTA Weekly.

608 00:57:44.980 00:57:51.719 Uttam Kumaran: And I’m gonna do 12… What, 14, 13, 12?

609 00:57:52.040 00:57:57.879 Uttam Kumaran: 1212… 2025.md, and I’m gonna go ahead and put our transcript in here.

610 00:57:58.450 00:58:01.790 Uttam Kumaran: So, next, let’s move on to another.

611 00:58:02.590 00:58:06.180 Samuel Roberts: Have you noticed a difference using the granola ones, where it doesn’t know who’s speaking?

612 00:58:07.570 00:58:08.769 Samuel Roberts: Does it matter as much?

613 00:58:09.070 00:58:13.839 Uttam Kumaran: It hasn’t been as much of an issue, although you’re, like.

614 00:58:14.650 00:58:21.980 Uttam Kumaran: I… it hasn’t been that much of an issue. I’m probably… I’m perpetuating a bad habit by using that instead of the…

615 00:58:22.090 00:58:22.890 Uttam Kumaran: Platform.

616 00:58:22.890 00:58:24.260 Samuel Roberts: I just wasn’t sure if there was a reason, yeah.

617 00:58:24.260 00:58:34.879 Uttam Kumaran: We should use the platform. Some meetings, like sales meetings, sometimes I haven’t been able to get it out of the… Of course. Of course, but it hasn’t been bad, actually, so…

618 00:58:34.880 00:58:35.490 Samuel Roberts: Okay.

619 00:58:36.710 00:58:40.150 Uttam Kumaran: And the other thing I’m also gonna put in here,

620 00:58:40.260 00:58:49.539 Uttam Kumaran: is the, is the scope for, CTA. So, I’m just gonna put in…

621 00:58:51.000 00:58:53.200 Uttam Kumaran: Let’s see if I have it…

622 00:59:04.260 00:59:06.619 Uttam Kumaran: Don’t know if I even have something.

623 00:59:10.470 00:59:15.540 Uttam Kumaran: Okay, I guess I just have one document. So, let me go ahead and just download this one.

624 00:59:17.950 00:59:25.849 Uttam Kumaran: So this was before… it’s, like, seems so long ago, so October 6th, before we were doing, like, more formal SOWs.

625 00:59:26.080 00:59:28.809 Uttam Kumaran: But let me just download this guy.

626 00:59:29.080 00:59:35.770 Uttam Kumaran: And also put this into the… Repo under… resources.

627 00:59:37.640 00:59:40.240 Uttam Kumaran: And then…

628 00:59:41.360 00:59:46.220 Uttam Kumaran: let’s go ahead and now ask it to do what we want. So, what I’m gonna do here is…

629 00:59:46.510 00:59:52.040 Uttam Kumaran: I’m also going to use, like, voice-to-text, because it’s just gonna help me talk.

630 00:59:52.380 01:00:01.650 Uttam Kumaran: out loud. And basically, what is our goal? So, our goal is, we want to tell the AI, leverage the transcripts.

631 01:00:02.100 01:00:08.240 Uttam Kumaran: Around discovery, and help me write the two SOWs.

632 01:00:08.390 01:00:12.540 Uttam Kumaran: For the two projects, That we discussed.

633 01:00:12.750 01:00:22.509 Uttam Kumaran: So configuration here is I’m just using Sonnet. I’m gonna tell it to go reference the playbook as well. So, let’s go ahead and try this, so…

634 01:00:24.260 01:00:30.040 Uttam Kumaran: Okay, so I want to… I need help, writing to…

635 01:00:30.400 01:00:36.819 Uttam Kumaran: SOWs for CTA on two new discovery work streams. Basically, they…

636 01:00:36.980 01:00:52.999 Uttam Kumaran: love the work that we’re doing, and they called us to ask if we can take on more, and particularly two challenges. One around Okta, and one around their Shopify store for selling digital assets. The information about

637 01:00:53.440 01:01:04.690 Uttam Kumaran: the scopes are in the two transcripts and meeting transcripts. Additionally, take a look at the BrainForge Playbook folder for more information on how to write great SOWs.

638 01:01:04.900 01:01:11.440 Uttam Kumaran: And call out any open questions in the SOWs that maybe weren’t captured in the transcripts.

639 01:01:11.590 01:01:15.630 Uttam Kumaran: And then go ahead and put those… into the resources folder.

640 01:01:17.560 01:01:24.850 Uttam Kumaran: So, I have a hotkey to the control key on my keyboard, and so I can…

641 01:01:25.310 01:01:31.190 Uttam Kumaran: for HC to do this, what I’m gonna do is just take a look and say, okay, I just wanted to make sure it doesn’t, like, misspell anything.

642 01:01:31.360 01:01:36.339 Uttam Kumaran: And then I’m gonna say, go ahead and take a look at the app.

643 01:01:37.100 01:01:45.119 Uttam Kumaran: Brain Forge playbooks, Which it’s not, I don’t think this indexed everything, maybe.

644 01:01:46.260 01:01:48.319 Uttam Kumaran: Okay, here we go.

645 01:01:49.860 01:01:56.029 Uttam Kumaran: Okay… Cool. Anyone have any other suggestions I should put into this?

646 01:01:57.590 01:02:01.969 Uttam Kumaran: The other thing that maybe I can demonstrate here is you can also go to planning mode.

647 01:02:02.230 01:02:08.469 Uttam Kumaran: And so, this is actually also really helpful. I’m now using this almost all the time for a task like this.

648 01:02:08.630 01:02:13.699 Uttam Kumaran: And so what you can do is you can actually, go ahead and click enter.

649 01:02:13.930 01:02:19.069 Uttam Kumaran: It’s going to, think about, like, what you just told it and what to do.

650 01:02:20.800 01:02:23.020 Uttam Kumaran: We’ll sit here and give it a sec.

651 01:02:47.950 01:02:52.329 Uttam Kumaran: Okay, so then it’ll ask me some follow-up questions. What is the target timeline?

652 01:02:54.760 01:02:57.800 Uttam Kumaran: Do you remember what they said, Sam?

653 01:02:59.320 01:03:00.190 Samuel Roberts: Timeline?

654 01:03:01.280 01:03:05.980 Uttam Kumaran: Yeah. I won’t be really… Okay, I’m gonna do option.

655 01:03:05.980 01:03:10.090 Samuel Roberts: Yeah, go ahead. And then, what type of engagement should these SOWs cover?

656 01:03:10.520 01:03:15.190 Uttam Kumaran: This should cover Discovery plus implementation.

657 01:03:15.480 01:03:16.190 Samuel Roberts: Yeah.

658 01:03:16.190 01:03:20.640 Uttam Kumaran: You have budget guidance. No specific guidance yet.

659 01:03:20.800 01:03:23.940 Uttam Kumaran: Which workstream is the higher priority? Okta.

660 01:03:24.500 01:03:25.910 Uttam Kumaran: And then, I’m gonna go into…

661 01:03:25.910 01:03:27.149 Samuel Roberts: Clicking now.

662 01:03:30.090 01:03:31.959 Samuel Roberts: I’m glad they updated that, that’s a nice…

663 01:03:33.740 01:03:38.580 Uttam Kumaran: Right, and then basically gonna go… Think about the plan.

664 01:03:39.150 01:03:41.600 Uttam Kumaran: Cool. Here’s the plan.

665 01:03:44.480 01:03:46.799 Uttam Kumaran: which I’m totally okay with.

666 01:03:47.290 01:03:49.850 Uttam Kumaran: Let it think a little bit longer here.

667 01:04:16.250 01:04:18.750 Uttam Kumaran: Great, so let’s go ahead and click Build.

668 01:04:19.650 01:04:25.069 Uttam Kumaran: And so, this is how I’m doing things now.

669 01:04:25.210 01:04:39.430 Uttam Kumaran: So, this is, like, absolutely such a game changer. We used to write these by scratch, and basically, the only things to keep in mind is read everything that it writes.

670 01:04:39.580 01:04:42.079 Uttam Kumaran: Like, this is not meant to…

671 01:04:42.190 01:04:45.810 Uttam Kumaran: Like, be a complete, like, write it and ship it.

672 01:04:46.030 01:05:01.710 Uttam Kumaran: the one thing we’re gonna get jammed, and everybody here is going to get jammed, so just be wary, is that if you publish something, if you send something out to a client, and then there’s part of it that’s written by AI, and you haven’t read it, you are still responsible for it.

673 01:05:01.880 01:05:11.880 Uttam Kumaran: So, I was writing something this morning where the AI hallucinated something it saw in an image. Had I shipped it, we would have been in a jam. So…

674 01:05:11.990 01:05:23.419 Uttam Kumaran: This is not an excuse to just not read. In fact, you should think about, while it’s taking out the brunt work of writing, most of your time should be in reviewing.

675 01:05:23.780 01:05:32.970 Uttam Kumaran: And so, I highly suggest you use this method if you’re writing documents, if you need a brainstorming partner, but…

676 01:05:33.090 01:05:36.590 Uttam Kumaran: This is a lot of, you know, like, how things are…

677 01:05:37.730 01:05:41.979 Uttam Kumaran: how things are working for me right now as I’m writing. Any questions so far?

678 01:05:45.660 01:05:52.440 Samuel Roberts: You find it sticks pretty well to the structure and everything? Like, the style and everything, or do you have to kind of keep pointing it to that?

679 01:05:52.440 01:05:54.970 Uttam Kumaran: Yeah, it is. Sticks pretty well.

680 01:05:54.970 01:05:55.580 Samuel Roberts: Okay.

681 01:06:05.070 01:06:08.670 Demilade Agboola: Do you have the template that you use for, like, this somewhere?

682 01:06:10.740 01:06:11.700 Uttam Kumaran: Say that again?

683 01:06:12.510 01:06:15.240 Demilade Agboola: Do you have the template that you use for this somewhere?

684 01:06:16.160 01:06:20.369 Uttam Kumaran: Yes, the SOW templates are here underwriting.

685 01:06:21.770 01:06:23.800 Uttam Kumaran: for writing SOWs.

686 01:06:24.180 01:06:24.980 Uttam Kumaran: Yeah.

687 01:06:25.650 01:06:26.350 Demilade Agboola: Okay.

688 01:06:33.780 01:06:37.410 Samuel Roberts: Did you say there were a few updates we had to make, or, like, push with that repo?

689 01:06:39.640 01:06:48.350 Uttam Kumaran: push to… oh, well, I’m gonna just keep… as I’m writing more and more stuff, I’m gonna put in… I’m gonna add examples of the best-in-class things we’ve written.

690 01:06:48.350 01:06:48.770 Samuel Roberts: Got it.

691 01:06:48.770 01:06:49.320 Uttam Kumaran: cute.

692 01:06:49.790 01:06:56.730 Uttam Kumaran: But also, like… Assume that this repo has, like, the approved

693 01:06:57.170 01:06:59.519 Uttam Kumaran: Guidance for how to write these, you know?

694 01:06:59.730 01:07:00.490 Awaish Kumar: I’m good.

695 01:07:00.590 01:07:10.310 Uttam Kumaran: So if you tell your AI to look at this for examples, it should do a half-decent job. But the one thing that I’m gonna do now is, for example, let’s go through this.

696 01:07:10.520 01:07:17.000 Uttam Kumaran: So I’ll show you kind of, like, how I would, you know, basically review something like this.

697 01:07:17.000 01:07:17.540 Samuel Roberts: Yeah.

698 01:07:18.580 01:07:20.310 Uttam Kumaran: You know, so I’m looking…

699 01:07:20.560 01:07:26.789 Uttam Kumaran: Couple things. One, we don’t need, like, version. So, so basically, what I’m gonna do is I’m gonna keep this file.

700 01:07:26.940 01:07:32.560 Uttam Kumaran: We don’t need a versioning, I’m gonna delete that. I’m just gonna kind of scan.

701 01:07:33.050 01:07:39.619 Uttam Kumaran: Okay… Decent, decent. I’ll go through and read it in detail, but I just want to make sure that

702 01:07:40.110 01:07:47.189 Uttam Kumaran: There isn’t anything, like, super… off the cuff. Again, for the most part.

703 01:07:47.500 01:07:53.249 Uttam Kumaran: These are meant to be used as a confidence tool for the client, so…

704 01:07:54.250 01:07:59.379 Uttam Kumaran: I guess that’s what I would say, is, like, we’re just making sure that everything here is accurate.

705 01:07:59.800 01:08:06.760 Uttam Kumaran: Looks like, roughly, yeah, we’re evaluating platform alternatives, comparing pricing models, there’s a roadmap.

706 01:08:06.940 01:08:13.370 Uttam Kumaran: There’s implementation support. I’m gonna go through and… remove…

707 01:08:13.540 01:08:17.580 Uttam Kumaran: the Phase 4 optional, because I would like us to have filled it.

708 01:08:19.380 01:08:21.640 Uttam Kumaran: Okay, these all seem fine.

709 01:08:22.090 01:08:23.870 Uttam Kumaran: Access seems okay.

710 01:08:24.510 01:08:29.579 Uttam Kumaran: Current state assessment report. I don’t think we need to do, like, page numbers here.

711 01:08:30.460 01:08:32.079 Uttam Kumaran: So I’m gonna remove that.

712 01:08:32.370 01:08:36.479 Uttam Kumaran: Vendor evaluation criteria, quick rinse report, okay.

713 01:08:37.040 01:08:43.759 Uttam Kumaran: So roughly, like, I think this looks fine. Like, typically what will happen, guys, is, like, AI will be very, very verbose.

714 01:08:44.330 01:08:54.630 Uttam Kumaran: So, if you’re finding that it’s, like, doing 5 different timelines, or you’re like, look, this is, like, for example, we already meet with a client, so we don’t need to do, like, a communication.

715 01:08:54.880 01:08:58.740 Uttam Kumaran: plan, necessarily, or what I would do is I would just do, like.

716 01:09:00.830 01:09:08.800 Uttam Kumaran: communication plan, and then the other things I would say… Leverages the same guidelines.

717 01:09:09.270 01:09:17.680 Uttam Kumaran: as our existing data workstream. And so what I did is I just highlighted this, I hit Command-K, and you can actually edit this inline.

718 01:09:17.939 01:09:22.599 Uttam Kumaran: And so… It’s gonna go ahead and say that. Communication will leverage the same guidelines.

719 01:09:23.450 01:09:26.649 Uttam Kumaran: Open questions… okay, some of these are fine.

720 01:09:26.800 01:09:30.439 Uttam Kumaran: Pricing to be provided.

721 01:09:30.770 01:09:31.910 Uttam Kumaran: sign off.

722 01:09:34.060 01:09:38.800 Uttam Kumaran: stakeholders, success metrics.

723 01:09:40.840 01:09:44.469 Uttam Kumaran: So, I think, roughly, it’s probably a good… it’s probably, like.

724 01:09:44.630 01:09:54.479 Uttam Kumaran: 70% of the way there, I think someone’s… a lot of this is, like, there’s some stuff that’s, like, very verbose, so you can do one thing where you can have the AI look through and say.

725 01:09:54.780 01:10:01.460 Uttam Kumaran: Okay, like, tell me if there’s things that are repeated in many areas, like, are there opportunities to reduce this a little bit?

726 01:10:01.670 01:10:16.839 Uttam Kumaran: The… even… it may seem like, wow, okay, AI wrote all this stuff, like, the goal is not to write a lot of stuff, the goal is to convey the scope. So, AI will write way too much. So, as a writer, your job

727 01:10:16.930 01:10:27.350 Uttam Kumaran: Which is… still, one part of it is to edit. So make sure, like, anything you see here, you edit and make sure it translates effectively. Like, it’s not just, like, bluff.

728 01:10:27.650 01:10:31.219 Uttam Kumaran: Some AI will use big words and things like that, so…

729 01:10:31.350 01:10:37.429 Uttam Kumaran: I would also say probably a similar thing. So, I think what I’m gonna do, Sam, is I can go ahead and commit this.

730 01:10:38.160 01:10:41.039 Uttam Kumaran: Or do you want to take a crack on your home?

731 01:10:42.160 01:10:46.349 Samuel Roberts: Go ahead and commit it, I might… I might,

732 01:10:46.510 01:10:51.830 Samuel Roberts: like, redo it, and see how, like, my prompt compares, kind of thing. Okay.

733 01:10:51.830 01:10:52.440 Uttam Kumaran: Right, okay.

734 01:10:52.440 01:10:57.899 Samuel Roberts: But I had started this a little bit, but without all the supporting documents around it, so this will actually be very helpful.

735 01:10:58.010 01:10:59.940 Samuel Roberts: Okay, great.

736 01:10:59.940 01:11:09.200 Uttam Kumaran: And then the other thing is the AI will sometimes do, like, stocks like this, like, validation summary. I would go ahead and just delete, like, we don’t need stuff like that.

737 01:11:09.310 01:11:15.100 Uttam Kumaran: And then I’m just gonna make sure that all of this is here, and I’m just gonna push domain directly.

738 01:11:15.100 01:11:20.920 Samuel Roberts: You can also do… I don’t know how you feel about GitHub Desktop versus using… if you click,

739 01:11:21.080 01:11:24.420 Samuel Roberts: You can do the version control from… Yeah.

740 01:11:24.420 01:11:29.480 Uttam Kumaran: Yeah, you could also do it here. I also have just been telling AI to, like, commit stuff.

741 01:11:29.480 01:11:32.469 Samuel Roberts: That’s the other thing I was gonna say, like, you can just have, yeah, it’s really nice.

742 01:11:32.470 01:11:35.130 Uttam Kumaran: This is just… I’m just creature habits, so…

743 01:11:35.130 01:11:37.320 Samuel Roberts: Okay, that’s why I just didn’t know if it was a…

744 01:11:37.810 01:11:40.950 Uttam Kumaran: No, no, no, not optimized, not optimized. Okay.

745 01:11:41.490 01:11:45.860 Uttam Kumaran: So yeah, I guess, like, does anyone have questions? Like, does this feel like…

746 01:11:46.170 01:11:48.069 Uttam Kumaran: We all can start to do this.

747 01:11:49.190 01:11:55.260 Awaish Kumar: Yeah, like, I’ve been trying to do is kind of similar, but, like, all these guidelines and…

748 01:11:55.390 01:11:58.649 Awaish Kumar: And the, like, the playbook which you have established?

749 01:11:58.760 01:12:01.479 Awaish Kumar: That will go into… Help us, like.

750 01:12:02.030 01:12:04.980 Awaish Kumar: Make the documentation more clear, and…

751 01:12:10.320 01:12:14.149 Uttam Kumaran: Okay, wait, so, I mean, I’m gonna start to continue to…

752 01:12:14.260 01:12:20.750 Uttam Kumaran: Refine the playbook repo with, like, exactly how we want things to be written.

753 01:12:20.850 01:12:33.380 Uttam Kumaran: So that you shouldn’t… as an engineer or a leader on the team, I don’t want you worried about bolding, I want you worried about content. Like, is the thing that’s written convey what we want it to do?

754 01:12:33.580 01:12:37.329 Uttam Kumaran: The problem with document writing is most of the people spend time on that.

755 01:12:37.480 01:12:39.720 Uttam Kumaran: I don’t want any time spent on that. In fact.

756 01:12:39.940 01:12:57.760 Uttam Kumaran: where this is gonna go is, like, also we’ll start to create presentations directly from here. So I know it’s still, like, I don’t know, Gabe, I don’t think we’ve made much progress yet on, like, investigating that, but it’s kind of coming to a head, so I may start to look at, like, using Notebook LM or a few other tools for…

757 01:12:58.120 01:13:05.639 Uttam Kumaran: Slide creation, because it’s… it’s just, you know, some… the next kind of piece to optimize.

758 01:13:05.780 01:13:09.770 Uttam Kumaran: But ideally, what I’m hopeful for is that

759 01:13:10.370 01:13:27.930 Uttam Kumaran: everything, as I’ve discussed, like, same with you even before, is, like, everything in our company revolves around the meaning and actions. Debt creation, SOW creation, ticket creation, PR creation, like, everything. So, having the transcripts here is great, and then I want us to use AI to take the next step.

760 01:13:27.980 01:13:41.950 Uttam Kumaran: Which is like, okay, look at the transcript, map out what the next steps are, then go ahead and say, I need to create… I need to go update these linear tickets, I need to do this. So, I feel like Cursor is a really good operating system for all of this, you know?

761 01:13:43.530 01:13:44.430 Samuel Roberts: Yeah.

762 01:13:45.350 01:13:52.730 Samuel Roberts: I agree. I’m wondering how this, like… This is probably a bigger discussion beyond this meeting, but, like, how we could have it auto-put the transcripts, like.

763 01:13:52.730 01:13:53.060 Uttam Kumaran: Yeah.

764 01:13:53.060 01:13:55.810 Samuel Roberts: transcripts or something. Like, if we’re gonna, like, we have someone.

765 01:13:55.810 01:13:56.800 Uttam Kumaran: Well, I would like to…

766 01:13:56.800 01:13:57.170 Samuel Roberts: Probably.

767 01:13:57.170 01:13:57.879 Uttam Kumaran: Yeah, totally.

768 01:13:57.880 01:13:58.580 Samuel Roberts: nursery.

769 01:13:59.000 01:14:05.670 Uttam Kumaran: Yeah, I think it… I mean, even more interesting could be to just have a transcript repo.

770 01:14:07.570 01:14:08.090 Samuel Roberts: Yeah.

771 01:14:12.030 01:14:18.210 Samuel Roberts: Yeah, because there’s something… the ergonomics of Cursor are very nice, and, like, rebuilding all that into a platform seems, like.

772 01:14:18.210 01:14:20.539 Uttam Kumaran: Yeah, I’m not interested in doing that anymore, seeing how fast.

773 01:14:20.540 01:14:21.190 Samuel Roberts: Exactly.

774 01:14:21.190 01:14:25.560 Uttam Kumaran: I’m interested in doing, like, Some of it, but…

775 01:14:25.750 01:14:29.529 Samuel Roberts: Yeah, I think, I think when there’s specific actions that can be taken.

776 01:14:30.150 01:14:39.320 Samuel Roberts: on a repeatable basis, then it’s something that we want to put in. But if it’s something like, right, like, HRSA’s just going to be able to interact with files better, and, like, that’s what they’re doing. There’s no point

777 01:14:39.920 01:14:43.929 Samuel Roberts: trying to, like, map that world to ours. I think that’s fair.

778 01:14:46.870 01:14:48.159 Samuel Roberts: Cool, yeah, I like it.

779 01:14:48.710 01:15:02.210 Uttam Kumaran: Okay, cool. So, I committed that. I guess, Sam, like, yeah, you want to try to ship a first version of that, I can review it, that would be great. Don’t worry about pricing or timeline, like, leave anything as open questions there. And then…

780 01:15:02.580 01:15:06.749 Uttam Kumaran: Ideally, I don’t know yet, but I think…

781 01:15:06.900 01:15:24.230 Uttam Kumaran: Catherine will be okay with looking at it as a markdown file in GitHub, but other clients are not. So, in order to kind of… let me just show that one last time. In order to kind of move this stuff to Google Docs, I would just go to Drive, and so let’s go ahead and, like.

782 01:15:24.950 01:15:29.300 Uttam Kumaran: let’s go ahead and go to, Drive, and I’ll show you guys where you can…

783 01:15:29.610 01:15:35.550 Uttam Kumaran: you can see that. So, if you go to, Share Drives, and you go to Clients.

784 01:15:35.810 01:15:38.159 Uttam Kumaran: Should see a bunch of our clients.

785 01:15:38.260 01:15:45.560 Uttam Kumaran: let’s say I want to push this to CTA, I’m gonna go into my Finder, I’m gonna go to GitHub.

786 01:15:45.760 01:15:53.160 Uttam Kumaran: I’m gonna go to CTA, CTA Data Ops, I’m gonna go to Resources.

787 01:15:53.340 01:15:56.550 Uttam Kumaran: And I’m gonna click on this. I’m gonna drag this here.

788 01:15:56.550 01:15:57.070 Samuel Roberts: Yep.

789 01:15:58.310 01:15:59.320 Uttam Kumaran: What you’re gonna see is gonna drop.

790 01:15:59.320 01:16:01.459 Samuel Roberts: Can you drag from cursor into the browser?

791 01:16:01.460 01:16:03.470 Uttam Kumaran: You can also drag your cursor, yeah. Okay.

792 01:16:03.470 01:16:06.000 Samuel Roberts: I just wasn’t sure, because sometimes Chris does weird things with file drops.

793 01:16:06.000 01:16:10.030 Uttam Kumaran: You can drag from cursor, I think, or maybe, I don’t know. The other thing.

794 01:16:10.030 01:16:12.859 Samuel Roberts: Yeah, that’s why I know you can drag into cursor, but that’s, yeah.

795 01:16:12.860 01:16:16.610 Uttam Kumaran: Yeah, so if you right-click and you do Reveal in Finder, it’ll…

796 01:16:16.610 01:16:18.520 Samuel Roberts: Yeah. Directly take you there.

797 01:16:19.020 01:16:22.059 Samuel Roberts: And then, the one thing to here to do is, like.

798 01:16:22.060 01:16:25.730 Uttam Kumaran: You need to click on this, and click on Open with Google Docs.

799 01:16:25.940 01:16:31.470 Uttam Kumaran: And then, you need to make sure to change the, the title.

800 01:16:32.130 01:16:33.230 Uttam Kumaran: But otherwise…

801 01:16:33.230 01:16:34.120 Samuel Roberts: It pulls all the mark down.

802 01:16:34.120 01:16:35.470 Uttam Kumaran: Paying all of the formatting.

803 01:16:36.220 01:16:37.190 Samuel Roberts: Sweet.

804 01:16:37.530 01:16:38.050 Uttam Kumaran: Me.

805 01:16:38.230 01:16:42.310 Uttam Kumaran: So, at this point, like, I would say this dock is too long.

806 01:16:42.650 01:16:45.499 Uttam Kumaran: like, I would aim for 5 to 7 pages.

807 01:16:45.870 01:16:50.349 Uttam Kumaran: 15, 11 pages, like, some of these I can tell is duplicated, and, like.

808 01:16:50.350 01:16:51.020 Samuel Roberts: Yeah.

809 01:16:51.020 01:16:52.459 Uttam Kumaran: Some of these are, like.

810 01:16:53.570 01:16:57.890 Uttam Kumaran: are obvious, so… but okay, but that’s just, like, that’s a rough way to do this.

811 01:16:59.000 01:17:02.789 Awaish Kumar: So, like, what do we do, like, if the document has images?

812 01:17:04.580 01:17:06.939 Uttam Kumaran: You would need to recreate it.

813 01:17:08.250 01:17:08.990 Uttam Kumaran: Yeah.

814 01:17:09.480 01:17:11.469 Uttam Kumaran: I don’t… I don’t know how… I don’t…

815 01:17:12.350 01:17:13.020 Awaish Kumar: Okay, yeah.

816 01:17:13.160 01:17:14.040 Uttam Kumaran: Alright.

817 01:17:15.960 01:17:24.340 Awaish Kumar: Yeah, it was constantly failing for me, so I removed the images, then it converted to Word, and then add… insert images, like, afterwards.

818 01:17:24.340 01:17:28.099 Uttam Kumaran: Yeah, I guess that’s a good point. I haven’t thought about how to air those images yet.

819 01:17:31.550 01:17:36.800 Samuel Roberts: The other question here is, like, you could generate a PDF from the Markdown on your machine, and shared.

820 01:17:36.800 01:17:37.280 Uttam Kumaran: Yeah.

821 01:17:37.280 01:17:41.159 Samuel Roberts: But if you want Google Docs, like, editing and stuff, this is… yeah, then the images become…

822 01:17:41.160 01:17:43.430 Uttam Kumaran: Most of the time, you want that, so…

823 01:17:43.430 01:17:44.090 Samuel Roberts: Yeah, that’s right.

824 01:17:44.090 01:17:49.439 Uttam Kumaran: they… for now, recreate the images. Long term, I can think about some more solutions there.

825 01:17:51.280 01:17:53.679 Samuel Roberts: What kind of images are we talking here? Is it, like…

826 01:17:53.680 01:17:57.180 Uttam Kumaran: Just, like, any images, like, image screenshots. Screenshots.

827 01:17:57.370 01:18:01.580 Samuel Roberts: Yeah, okay, okay, I didn’t know if it was, like, you know, like, mermaid diagrams or something, like.

828 01:18:01.580 01:18:02.039 Uttam Kumaran: Yeah, just…

829 01:18:02.040 01:18:04.110 Samuel Roberts: Code you could maybe handle, but…

830 01:18:04.380 01:18:06.050 Samuel Roberts: Yeah, you’re gonna have to move them, I guess.

831 01:18:06.390 01:18:15.460 Uttam Kumaran: So I’m gonna look… so I’ve been also looking into, like, how do we interact with GAN charts from here, how do we do the linear ticket, so everything I’m gonna put as, like, workflow guides directly in here.

832 01:18:15.620 01:18:16.080 Samuel Roberts: Sweet.

833 01:18:16.980 01:18:21.650 Uttam Kumaran: Quote.

834 01:18:22.740 01:18:24.150 Samuel Roberts: Any questions?

835 01:18:29.170 01:18:30.150 Uttam Kumaran: Okay.

836 01:18:30.150 01:18:31.050 Samuel Roberts: Excited to play with it.

837 01:18:31.380 01:18:36.859 Uttam Kumaran: So yeah, give this a good shot, use Sonnet, use, the planning mode.

838 01:18:37.350 01:18:50.709 Uttam Kumaran: open the folders, like, open… you can open several folders directly in cursor. So, for example, you may see here that I have all these folders open, I right-click, I do Add Folder to Workspace.

839 01:18:50.930 01:18:52.329 Uttam Kumaran: And they’re here.

840 01:18:54.690 01:19:03.650 Uttam Kumaran: Yeah, and then maybe, Gabe, I don’t know if I could ask you to… do you want to take this recording and just splice it in Loom? Maybe we can even send this out as a prelim.

841 01:19:04.190 01:19:08.100 Gabriel Lam: Yeah, I can do that, I’ll also…

842 01:19:08.260 01:19:11.170 Gabriel Lam: I’ll see if we’re missing anything from this, and then…

843 01:19:11.620 01:19:15.930 Gabriel Lam: what the… if we do need to actually have a follow-up seminar, what it might look like, but I think…

844 01:19:15.930 01:19:16.360 Uttam Kumaran: Okay.

845 01:19:16.360 01:19:18.330 Gabriel Lam: This was pretty informative, already.

846 01:19:18.330 01:19:27.140 Uttam Kumaran: I think I want to go through… I want to help people install GitHub, desktop, install Cursor, like… Yeah.

847 01:19:27.740 01:19:30.899 Uttam Kumaran: Some of that stuff, I think, will be a little bit tougher, so…

848 01:19:33.060 01:19:33.690 Gabriel Lam: Okay.

849 01:19:35.100 01:19:36.640 Uttam Kumaran: Okay, awesome.

850 01:19:37.080 01:19:38.109 Uttam Kumaran: Alright, guys.

851 01:19:38.880 01:19:39.460 Awaish Kumar: Alright.

852 01:19:39.460 01:19:40.400 Uttam Kumaran: Thank you.

853 01:19:40.660 01:19:41.439 Samuel Roberts: Sweet, yeah.

854 01:19:41.440 01:19:42.520 Gabriel Lam: Awesome, thank you.

855 01:19:42.980 01:19:43.720 Uttam Kumaran: Thanks.

856 01:19:43.720 01:19:44.540 Samuel Roberts: This is weird.