Meeting Title: Brainforge CTA DataOps Planning Date: 2026-01-27 Meeting participants: Uttam Kumaran, Ashwini Sharma


WEBVTT

1 00:00:13.050 00:00:14.270 Uttam Kumaran: Hi, sir.

2 00:00:14.880 00:00:16.230 Ashwini Sharma: Hey, Utam. How are you?

3 00:00:16.239 00:00:17.379 Uttam Kumaran: Hey, how are you?

4 00:00:17.870 00:00:18.740 Ashwini Sharma: I’m good.

5 00:00:19.720 00:00:20.810 Uttam Kumaran: How’s the day going?

6 00:00:22.310 00:00:23.560 Ashwini Sharma: Yeah, going good, man.

7 00:00:24.170 00:00:24.700 Uttam Kumaran: Cool.

8 00:00:26.530 00:00:31.730 Uttam Kumaran: Yeah, I kinda just wanted to, like, First, probably take the…

9 00:00:31.940 00:00:40.590 Uttam Kumaran: create linear projects for each of those sections that Catherine mentioned, and then probably just, like, start to move tickets into

10 00:00:40.930 00:00:46.469 Uttam Kumaran: whatever we’re working on right now. I think probably what’s gonna happen is, like.

11 00:00:46.640 00:00:50.220 Uttam Kumaran: Well, I don’t know, what do you think? Like, should we… Create…

12 00:00:50.700 00:00:55.539 Uttam Kumaran: Tickets on our board and their board, or should we just create some tickets on their board?

13 00:00:55.840 00:00:59.809 Uttam Kumaran: like, because I don’t think they’re as… On it as we are.

14 00:01:01.640 00:01:09.059 Ashwini Sharma: Yeah, I think let’s keep it on our board, maybe if required, you know, I don’t know if there is an integration that can push it to us now from…

15 00:01:09.650 00:01:10.860 Ashwini Sharma: linear?

16 00:01:11.530 00:01:14.309 Ashwini Sharma: Yeah, I can also think about that.

17 00:01:14.310 00:01:18.679 Uttam Kumaran: I don’t think they’re gonna be so detailed, as long as we put one ticket with, like.

18 00:01:20.330 00:01:29.520 Uttam Kumaran: core tasks, no description, they’re gonna be happy. So… let me… what I’m gonna try to do… is,

19 00:01:34.260 00:01:38.579 Uttam Kumaran: I’m actually gonna see if I can use Cursor to help me create the projects.

20 00:01:39.610 00:01:40.220 Ashwini Sharma: Okay.

21 00:01:40.920 00:01:44.789 Uttam Kumaran: Are you using cursor for, like, linear stuff at all, or no? You’re just going directly?

22 00:01:44.790 00:01:48.969 Ashwini Sharma: No, I’m not using cursor for linear stuff. I’m using it to…

23 00:01:49.540 00:01:52.699 Ashwini Sharma: format the CSV, generate SQL, and all.

24 00:01:52.700 00:01:53.100 Uttam Kumaran: Okay.

25 00:01:53.100 00:01:54.729 Ashwini Sharma: I know.

26 00:01:56.760 00:01:58.110 Uttam Kumaran: Okay, then let’s,

27 00:01:58.430 00:02:05.380 Uttam Kumaran: maybe we can try to see how it works together, because I haven’t… I’ve done some of… I’ve mainly been using Kersher to create tickets.

28 00:02:05.570 00:02:07.459 Uttam Kumaran: Here and there, but nothing, like…

29 00:02:08.030 00:02:11.019 Uttam Kumaran: So dramatic, so let me just share…

30 00:02:19.560 00:02:21.719 Uttam Kumaran: And… okay.

31 00:02:26.950 00:02:30.829 Uttam Kumaran: But what I’m gonna do is, maybe I’m gonna create a new window?

32 00:02:32.070 00:02:34.670 Uttam Kumaran: And I’m gonna do open…

33 00:02:38.570 00:02:48.540 Uttam Kumaran: GitHub… This is… CTA… Then I’m gonna open the playbook, the vault.

34 00:02:50.790 00:02:51.740 Uttam Kumaran: Okay…

35 00:02:57.350 00:03:00.300 Ashwini Sharma: These are what? These are GitHub projects, or these are something…

36 00:03:00.300 00:03:03.349 Uttam Kumaran: These are GitHub projects. These are GitHub projects, yeah.

37 00:03:03.780 00:03:10.049 Uttam Kumaran: And then, let me just check to see if I have the latest.

38 00:03:10.410 00:03:12.550 Uttam Kumaran: For CTA, DataOps…

39 00:03:19.790 00:03:22.099 Uttam Kumaran: Okay… what did it say?

40 00:03:22.970 00:03:26.270 Uttam Kumaran: Logged in, no GitHub Desktop Settings.

41 00:04:41.290 00:04:44.410 Uttam Kumaran: What is there? Do you know what there’s enterprise addresses?

42 00:04:45.200 00:04:47.339 Ashwini Sharma: Oh, you need to log into Okta first, because…

43 00:04:47.340 00:04:49.070 Uttam Kumaran: No, I did, I did, I logged in.

44 00:04:49.070 00:04:50.239 Ashwini Sharma: You’re already dead?

45 00:04:50.440 00:04:53.599 Uttam Kumaran: Like, what is their… like, what is this address?

46 00:04:54.020 00:04:57.960 Ashwini Sharma: Hold on a second, let me open that GitHub Enterprise.

47 00:04:57.960 00:05:00.380 Uttam Kumaran: Oh, it’s like… oh, yeah, I don’t know.

48 00:05:03.610 00:05:06.039 Ashwini Sharma: Verify with Touch ID, this…

49 00:05:13.400 00:05:16.680 Ashwini Sharma: It’s consumer tech. Enterprises, consumer tech.

50 00:05:17.240 00:05:18.630 Uttam Kumaran: consumer tech…

51 00:05:19.100 00:05:23.730 Ashwini Sharma: And then you go to Organizations… But Consumer Tech Data.

52 00:05:24.120 00:05:26.620 Ashwini Sharma: Yeah, github.com CTA data.

53 00:05:29.990 00:05:33.059 Uttam Kumaran: github.com slash CTA data.

54 00:05:33.260 00:05:36.670 Ashwini Sharma: CT hyphen data. Caps. CTAs and caps.

55 00:05:41.960 00:05:44.319 Uttam Kumaran: Oh, not IT provision. This one.

56 00:05:50.140 00:05:51.409 Uttam Kumaran: Okay, nice.

57 00:05:55.580 00:06:04.740 Uttam Kumaran: Okay, so what I’m gonna do first… is close this one.

58 00:06:04.930 00:06:08.419 Uttam Kumaran: So I’m gonna bring in the granola transcript.

59 00:06:08.690 00:06:09.889 Ashwini Sharma: From our meeting.

60 00:06:10.400 00:06:12.339 Ashwini Sharma: Oh, you did this? I also…

61 00:06:12.510 00:06:17.220 Uttam Kumaran: Yeah, I think we both… I’m just making… I always make sure now, so…

62 00:06:17.800 00:06:21.450 Uttam Kumaran: So what I’m gonna do first is I’m just gonna actually…

63 00:06:22.350 00:06:26.340 Uttam Kumaran: This is our internal one, right? Or which… Oh.

64 00:06:26.730 00:06:28.110 Uttam Kumaran: Which one is.

65 00:06:28.330 00:06:33.279 Ashwini Sharma: That is their… CTA data… DataOps is their repo. We don’t have our repo in…

66 00:06:33.280 00:06:39.309 Uttam Kumaran: Oh, okay, okay. So what… so at this point, I’m just gonna put it here, but I may not commit this for now.

67 00:06:39.600 00:06:40.720 Ashwini Sharma: Okay.

68 00:06:41.020 00:06:46.309 Uttam Kumaran: Because I, I don’t know, it’s not help… I don’t think the clients really care about having the agendas here.

69 00:06:46.490 00:07:01.960 Uttam Kumaran: But I’m just gonna put 2025 dash… Or 2020. 26-01 dash… 26… Data, ops… Meeting…

70 00:07:02.610 00:07:04.379 Uttam Kumaran: I’m gonna paste this here…

71 00:07:05.100 00:07:09.110 Uttam Kumaran: And then one thing I’m gonna do here first is I’m gonna go to plan mode.

72 00:07:09.250 00:07:11.240 Uttam Kumaran: And then I’m just gonna kinda tell…

73 00:07:11.700 00:07:17.199 Uttam Kumaran: I’m gonna kinda tell it, like, what I’d like to do here. So, I’m just gonna use, like.

74 00:07:18.160 00:07:24.609 Uttam Kumaran: Yeah, I guess, I’d like… to start organizing

75 00:07:24.850 00:07:30.569 Uttam Kumaran: the tasks for CTA into linear objects.

76 00:07:30.880 00:07:40.300 Uttam Kumaran: 1, 2, first… Start by organizing… Pop-level linear projects.

77 00:07:40.600 00:07:52.480 Uttam Kumaran: And then we can move to creating tasks for The most immediate projects…

78 00:07:52.920 00:07:55.160 Uttam Kumaran: Did Catherine send us that, like…

79 00:07:56.220 00:07:58.369 Ashwini Sharma: She didn’t send us any links. No, she didn’t.

80 00:07:58.370 00:08:00.029 Uttam Kumaran: Maybe I can,

81 00:08:23.940 00:08:40.380 Uttam Kumaran: Okay, so I’ll see what she said. For the most immediate projects, I also want to take a look at existing tickets in linear and map them to projects. No ticket should be without

82 00:08:40.640 00:08:51.939 Uttam Kumaran: a project… Lastly… We can then move to… Go Descriptions and Assignments.

83 00:08:52.210 00:08:57.879 Uttam Kumaran: for tickets… For this week and next week.

84 00:08:58.860 00:09:01.020 Uttam Kumaran: And then let me also just…

85 00:09:01.150 00:09:06.059 Uttam Kumaran: One thing I’m gonna do is I’m just gonna tell it… give it a little bit… tell it exactly which

86 00:09:07.370 00:09:15.929 Uttam Kumaran: Thing to use, so I’m gonna say this… This is the linear team.

87 00:09:16.950 00:09:21.330 Ashwini Sharma: Are you opening that in cursor itself, so Brain Forge AI, that linear stuff?

88 00:09:22.320 00:09:25.369 Uttam Kumaran: Oh, no, no, no, no, this is… it’s just the… it’s like…

89 00:09:25.370 00:09:26.140 Ashwini Sharma: Oh, okay, okay.

90 00:09:26.770 00:09:27.340 Ashwini Sharma: Yeah.

91 00:09:27.380 00:09:31.299 Uttam Kumaran: But one thing I do have here is I do have the MCP installed.

92 00:09:32.550 00:09:34.060 Ashwini Sharma: Okay, what’s MCP?

93 00:09:34.060 00:09:42.450 Uttam Kumaran: So, MCP is, like, consider it, like, external API. So, this way… My cursor can actually call

94 00:09:42.960 00:09:50.260 Uttam Kumaran: linear API and take some actions. Okay, cool. So I would suggest you install that here. I’ll send you the,

95 00:09:53.200 00:09:59.189 Uttam Kumaran: I’ll send you the instructions, but you… try and install it on your site too, it’ll be super, super helpful.

96 00:10:00.240 00:10:02.049 Ashwini Sharma: Sure, I’ll try doing that, yeah.

97 00:10:02.700 00:10:04.170 Ashwini Sharma: MCP.

98 00:10:09.190 00:10:09.720 Uttam Kumaran: Bull.

99 00:10:10.110 00:10:12.240 Uttam Kumaran: Anything else we should include here?

100 00:10:14.700 00:10:19.999 Ashwini Sharma: No, I think this is fine. Once we have this, we’ll update the Gantt chart accordingly.

101 00:10:20.170 00:10:20.880 Uttam Kumaran: Okay.

102 00:10:36.960 00:10:38.020 Ashwini Sharma: What’s the vault?

103 00:10:39.690 00:10:47.710 Uttam Kumaran: I’ll show you. Centralize… Things there… Like these… Lands…

104 00:10:47.880 00:10:53.450 Uttam Kumaran: Which may not need to be committed to a client.

105 00:10:53.840 00:10:57.249 Uttam Kumaran: Repo. So Vault is our Brainforge Vault repo.

106 00:10:57.590 00:10:58.300 Uttam Kumaran: How do you…

107 00:10:58.300 00:10:58.620 Ashwini Sharma: Yeah.

108 00:10:58.620 00:11:00.010 Uttam Kumaran: Taken a look at that before?

109 00:11:00.490 00:11:03.459 Ashwini Sharma: No, I haven’t. What does it contain?

110 00:11:03.800 00:11:22.999 Uttam Kumaran: it’s… it contains a lot of information about, like, on the engineering side, it’s, like, our PRDs, our, like, different SOWs, it’s our different guides on how to, like, create a great ticket, create a great SOW, just, like, a bunch of… and then we’re gonna start to put all the meeting transcripts in there as well.

111 00:11:23.340 00:11:24.140 Ashwini Sharma: Okay.

112 00:11:24.270 00:11:30.129 Uttam Kumaran: So, I would… I would… whenever you have cursor open, I would suggest having both of these open.

113 00:11:30.920 00:11:32.200 Ashwini Sharma: Playbook involved, okay.

114 00:11:32.200 00:11:32.790 Uttam Kumaran: Yeah.

115 00:11:33.900 00:11:36.600 Uttam Kumaran: Okay, so let’s go ahead, I’m just gonna, like, s-

116 00:11:36.770 00:11:38.669 Uttam Kumaran: Send this in and see what it says.

117 00:12:12.840 00:12:17.029 Ashwini Sharma: Did you tell it to read this, 202601 meeting?

118 00:12:17.800 00:12:18.860 Ashwini Sharma: Or to automatically.

119 00:12:18.860 00:12:21.550 Uttam Kumaran: Maybe I should… oh, that’s actually a good point.

120 00:12:31.030 00:12:34.259 Uttam Kumaran: Consider this data ops meeting.

121 00:12:36.010 00:12:37.869 Uttam Kumaran: So yeah, it’s gonna look here…

122 00:12:38.600 00:12:40.269 Uttam Kumaran: Oh, look, it did, so I did read it.

123 00:12:40.270 00:12:42.080 Ashwini Sharma: Oh, it did, okay, okay, hold on.

124 00:13:30.950 00:13:34.030 Uttam Kumaran: Okay, so let’s see what it said.

125 00:13:34.760 00:13:37.339 Uttam Kumaran: I now have a complete picture, let me summarize.

126 00:13:37.710 00:13:39.799 Uttam Kumaran: Okay, zero projects.

127 00:13:40.010 00:13:42.339 Uttam Kumaran: Current cycle, current team.

128 00:13:51.620 00:13:53.029 Uttam Kumaran: This seems right, right?

129 00:13:54.100 00:13:54.810 Ashwini Sharma: Yep.

130 00:13:55.460 00:13:59.709 Uttam Kumaran: How would you like to organize projects? By workstream? By deliverable?

131 00:14:06.100 00:14:09.310 Uttam Kumaran: It’s a good question, I don’t know, what do you think?

132 00:14:15.120 00:14:23.919 Ashwini Sharma: Well, data ingestion is the right workstream to include it, right? Member engagement report should fall under modeling, right?

133 00:14:24.720 00:14:28.910 Uttam Kumaran: But you kind of… I think it’s kind of helpful to have a project that ends, right?

134 00:14:30.840 00:14:32.069 Uttam Kumaran: Maybe it’s hybrid.

135 00:14:32.070 00:14:32.990 Ashwini Sharma: Yeah.

136 00:14:37.050 00:14:38.569 Ashwini Sharma: What was the first one?

137 00:14:40.110 00:14:45.709 Uttam Kumaran: Member engagement report plus identity resolution, complete data ingestion, balanced.

138 00:14:50.060 00:14:51.610 Uttam Kumaran: I’m gonna put both.

139 00:14:53.010 00:14:53.570 Ashwini Sharma: Yeah.

140 00:14:54.500 00:14:55.060 Uttam Kumaran: Okay.

141 00:15:05.760 00:15:07.970 Ashwini Sharma: Okay, this is just planning, right?

142 00:15:14.910 00:15:15.600 Ashwini Sharma: It’s all the time.

143 00:15:15.600 00:15:16.680 Uttam Kumaran: This is just planning.

144 00:15:17.010 00:15:19.820 Uttam Kumaran: Yeah, I like using Opus.

145 00:15:20.460 00:15:26.100 Uttam Kumaran: I think they’re all kind of, like, close. Like, you can use auto as well, they’re all pretty good.

146 00:15:26.280 00:15:29.059 Uttam Kumaran: I think for coding, the composer is really good.

147 00:15:29.680 00:15:30.530 Ashwini Sharma: Okay.

148 00:15:54.780 00:15:57.590 Uttam Kumaran: Okay, cool. So, let’s look through the plan.

149 00:15:57.920 00:15:59.869 Uttam Kumaran: Great, 6 linear projects.

150 00:16:02.990 00:16:03.780 Uttam Kumaran: Okay.

151 00:16:05.220 00:16:08.860 Uttam Kumaran: Member engagement report, 3 tickets…

152 00:16:13.880 00:16:16.480 Uttam Kumaran: What do you think about this? Does this seem roughly okay?

153 00:16:16.480 00:16:19.439 Ashwini Sharma: It’s a Marvel Engagement Report.

154 00:16:22.530 00:16:26.899 Ashwini Sharma: This is not this week’s deliverable, right? It’s just a project that.

155 00:16:26.900 00:16:30.360 Uttam Kumaran: This is just all, yeah, all the existing projects are gonna.

156 00:16:30.880 00:16:32.860 Uttam Kumaran: We’re gonna… all the existing tickets, we’re gonna map.

157 00:16:34.510 00:16:45.309 Ashwini Sharma: Books, yes, and just… Yeah, that is part of ingestion only, the third section, right? 11 tickets analytics.

158 00:16:46.170 00:16:49.049 Ashwini Sharma: There was a similar kind of thing, a little bit above.

159 00:16:49.050 00:16:57.810 Uttam Kumaran: CES Analytics… yeah, I can tell this to move… into integrations.

160 00:16:59.990 00:17:01.140 Uttam Kumaran: What do you think?

161 00:17:03.450 00:17:04.170 Ashwini Sharma: Forget.

162 00:17:04.859 00:17:10.879 Ashwini Sharma: Yeah, I’d seen some more similar kind of tickets, a little bit above, can you, go up a little bit?

163 00:17:12.310 00:17:16.709 Ashwini Sharma: Product structure hybrid modeling for Engagement Report.

164 00:17:17.190 00:17:25.279 Ashwini Sharma: No, there was already an assignment, some kind of assignment done. Can you… can you scroll down? Somewhere there was… I’ve seen it right now.

165 00:17:26.530 00:17:31.370 Ashwini Sharma: 30… okay, this week’s scopes. Okay, this is only…

166 00:17:32.310 00:17:36.440 Ashwini Sharma: Oh, it’s the same tickets over here as a scope item, right?

167 00:17:36.850 00:17:39.489 Ashwini Sharma: Yeah, it can… it can be pushed to integrations.

168 00:17:40.770 00:17:41.360 Uttam Kumaran: Okay.

169 00:17:50.080 00:17:53.970 Uttam Kumaran: So, that’s what I’m gonna say is,

170 00:18:13.880 00:18:17.920 Uttam Kumaran: Well, I guess it’s not really integration, right? Because these are all manual for now.

171 00:18:19.070 00:18:21.439 Ashwini Sharma: Yes, all of it is manual.

172 00:18:21.440 00:18:24.630 Uttam Kumaran: So that’s why I’m like, maybe we don’t put this under integrations.

173 00:18:26.430 00:18:26.960 Ashwini Sharma: Busy.

174 00:18:26.960 00:18:27.890 Uttam Kumaran: They’re all one time.

175 00:18:27.890 00:18:34.799 Ashwini Sharma: Let’s create a different section than ingestion, right? Manual ingestion, maybe. Or, ingestion of archived data, something like that.

176 00:18:35.290 00:18:35.880 Uttam Kumaran: Okay.

177 00:18:37.220 00:18:48.390 Uttam Kumaran: We want to create a new section called… Manual ingestion of… Manual ingestion, or… Archive…

178 00:18:49.030 00:18:57.040 Uttam Kumaran: ingestion. This is all flat files we’re ingesting one time for backfill.

179 00:18:57.260 00:19:02.870 Uttam Kumaran: Or a manual… Reporting before integrations are set up.

180 00:19:03.370 00:19:04.100 Uttam Kumaran: Okay.

181 00:19:44.890 00:19:49.850 Uttam Kumaran: Okay, so should CTA email marketing and also go into archive ingestion?

182 00:19:50.760 00:19:52.739 Ashwini Sharma: Yes, it’s all,

183 00:19:53.720 00:19:58.810 Ashwini Sharma: That email marketing is all data from Salesforce that has been dumped over there? CSV files?

184 00:19:59.090 00:20:07.069 Ashwini Sharma: Shopify also, some of the… Not exactly Shopify, like, it contains data about some of the downloads of reports or something like that.

185 00:20:08.170 00:20:09.270 Ashwini Sharma: But I think…

186 00:20:09.270 00:20:11.220 Uttam Kumaran: I still think that’s all archive, yeah.

187 00:20:11.580 00:20:12.810 Ashwini Sharma: Yeah, it’s all archive, yes.

188 00:20:12.810 00:20:13.360 Uttam Kumaran: Okay.

189 00:20:38.680 00:20:39.530 Uttam Kumaran: Okay.

190 00:20:48.290 00:20:50.329 Uttam Kumaran: Great, so let me,

191 00:21:19.030 00:21:20.779 Uttam Kumaran: And then what do we think about this week?

192 00:21:22.700 00:21:25.340 Ashwini Sharma: This week, we’ll complete the ingestions.

193 00:21:25.580 00:21:26.150 Uttam Kumaran: Okay.

194 00:21:26.510 00:21:33.170 Ashwini Sharma: I’ve divided, assigned Avish a few injections, and then I’ll take care of the rest.

195 00:21:33.650 00:21:39.909 Ashwini Sharma: And then we’ll start working on modeling, like, some components of the member engagement report.

196 00:21:40.210 00:21:40.760 Uttam Kumaran: Okay.

197 00:21:43.970 00:21:48.830 Uttam Kumaran: And then the last thing I’m gonna do is, create a ticket

198 00:21:51.880 00:22:04.199 Uttam Kumaran: Well, I’m gonna say… Also, create a… Project Scoping… Project… Where we can put tickets

199 00:22:11.470 00:22:20.130 Uttam Kumaran: discussed, like… the Zoom… Integration…

200 00:22:23.400 00:22:30.850 Uttam Kumaran: like… like the Zoom integration, managing… Shopify for…

201 00:22:31.170 00:22:36.199 Uttam Kumaran: Managing Shopify, like, do you remember any of… what are the other, like, big things that she mentioned?

202 00:22:37.840 00:22:40.659 Uttam Kumaran: like, this was, like, the Okta for…

203 00:22:59.420 00:23:01.729 Uttam Kumaran: Yeah, AWS Control Tower.

204 00:23:08.450 00:23:09.840 Uttam Kumaran: Yeah, okay, great.

205 00:23:11.070 00:23:13.220 Uttam Kumaran: Cause these ones, I’m gonna,

206 00:23:13.500 00:23:16.950 Uttam Kumaran: I’m gonna write and send it to her to try to help push these along.

207 00:23:17.270 00:23:18.380 Ashwini Sharma: Okay.

208 00:23:31.720 00:23:36.450 Uttam Kumaran: Okay, so at this point, I feel pretty good, so what I’m gonna do is just have it build the thing.

209 00:23:37.210 00:23:38.200 Uttam Kumaran: So…

210 00:23:38.200 00:23:38.780 Ashwini Sharma: Okay.

211 00:23:38.780 00:23:40.579 Uttam Kumaran: You can just say, like, great.

212 00:23:40.690 00:23:49.410 Uttam Kumaran: Please build… And it’s… what it’s gonna do is I have the linear MCP, I’ll show it to you.

213 00:23:49.910 00:23:57.849 Uttam Kumaran: See, I have, like, all these tools connected, so linear, it can do all these different API calls.

214 00:23:58.720 00:23:59.470 Ashwini Sharma: Okay.

215 00:23:59.470 00:24:00.899 Uttam Kumaran: So it’s gonna go do these.

216 00:24:01.450 00:24:05.350 Uttam Kumaran: But my ask is use cursor to do all your linear stuff.

217 00:24:05.350 00:24:09.770 Ashwini Sharma: Man, this is… This could be way faster.

218 00:24:10.140 00:24:10.890 Ashwini Sharma: Yeah.

219 00:24:15.540 00:24:19.909 Uttam Kumaran: So we should start to see… Things change here.

220 00:24:21.940 00:24:23.600 Uttam Kumaran: Yes, perfect.

221 00:24:40.850 00:24:42.920 Ashwini Sharma: That’s one whole day of work in a few minutes.

222 00:24:42.920 00:24:43.909 Uttam Kumaran: I know, dude.

223 00:24:44.870 00:24:47.630 Ashwini Sharma: This is awesome.

224 00:24:49.890 00:25:05.839 Uttam Kumaran: This is what I’m trying to tell you guys. But, I don’t know, this is where, like, tell me why… why do you think you didn’t give it a shot before, or you just needed to see it, like, on a meeting like this? So I’m trying to get everybody to sort of get to this moment where they’re seeing it. Like, what do you think? What do you think is best?

225 00:25:06.780 00:25:15.749 Ashwini Sharma: Yeah, I mean, I… like, if this was not there, right? Imagine, you have to go through the recording, write everything down that has been mentioned over there.

226 00:25:15.750 00:25:17.420 Uttam Kumaran: So it’s easier to see live.

227 00:25:17.820 00:25:18.730 Ashwini Sharma: Yeah.

228 00:25:18.730 00:25:22.060 Uttam Kumaran: Okay, okay, okay, good, that’s… but that’s what… that’s what I need to know.

229 00:25:22.300 00:25:24.070 Uttam Kumaran: Cause then, okay, that’s what I’m gonna do.

230 00:25:24.070 00:25:28.950 Ashwini Sharma: No, I wasn’t aware of that, integrations between this thing and, right?

231 00:25:28.950 00:25:29.510 Uttam Kumaran: Okay.

232 00:25:30.480 00:25:31.070 Uttam Kumaran: Cool.

233 00:25:31.070 00:25:39.909 Ashwini Sharma: I think if I had to do it, I would have, you know, reached a point where Cursor would have listed, these are the tickets, and then I would go and manually create them in linear.

234 00:25:39.910 00:25:40.889 Uttam Kumaran: Yeah, yeah, yeah.

235 00:25:40.890 00:25:41.680 Ashwini Sharma: Yeah, I think that’s…

236 00:25:41.970 00:25:43.340 Uttam Kumaran: Okay, okay, that’s helpful.

237 00:25:50.010 00:25:54.220 Uttam Kumaran: Yeah, it looks like it’s working on stuff, so let’s see, I don’t know, maybe it gets stuck.

238 00:25:54.220 00:25:59.059 Ashwini Sharma: So can you send me a screenshot of that linear, configuration, this thing?

239 00:26:00.200 00:26:04.949 Uttam Kumaran: This thing, I sent you the link in Slack, so as soon as you set it up, you’ll… you’ll see this.

240 00:26:04.950 00:26:06.759 Ashwini Sharma: Oh, this is auto-generated?

241 00:26:06.760 00:26:07.250 Uttam Kumaran: Yeah, yeah.

242 00:26:07.550 00:26:10.839 Uttam Kumaran: This thing is, like, yeah, this thing is all just settings.

243 00:26:17.920 00:26:20.659 Uttam Kumaran: Okay, for some reason, this is stuck, I don’t know.

244 00:27:38.290 00:27:41.019 Uttam Kumaran: Okay, let me restart this and see what it says.

245 00:28:23.050 00:28:24.550 Uttam Kumaran: Okay, it’s working now.

246 00:28:25.070 00:28:25.860 Ashwini Sharma: Okay.

247 00:28:28.230 00:28:29.400 Uttam Kumaran: Oh, but it’s duplicated.

248 00:28:30.650 00:28:31.410 Ashwini Sharma: Oh.

249 00:28:45.370 00:28:45.890 Uttam Kumaran: Okay.

250 00:28:46.710 00:28:49.629 Uttam Kumaran: Okay, I’m gonna hop to one other call, but

251 00:28:50.150 00:28:57.910 Uttam Kumaran: I’ll send you this as soon as it’s done, and I’ll send you this whole transcript, too. But if I could ask you one thing, go install Cursor, and…

252 00:28:59.090 00:29:07.639 Uttam Kumaran: Yeah. Okay, and then I’m gonna send you… I’m gonna send you this transcript, or I’ll commit… I’ll commit this whole transcript of how I chatted with it to…

253 00:29:07.640 00:29:08.070 Ashwini Sharma: Yeah.

254 00:29:08.070 00:29:16.650 Uttam Kumaran: Playbooks, so that even if you, like, are trying to reference how we did this before, you can go check in playbooks. I’ll put it in… I’ll put in playbooks are involved.

255 00:29:17.120 00:29:17.810 Ashwini Sharma: Sure.

256 00:29:17.810 00:29:18.950 Uttam Kumaran: Okay. Cool.

257 00:29:19.090 00:29:19.660 Ashwini Sharma: All right.

258 00:29:19.660 00:29:31.559 Uttam Kumaran: Okay. Thank you, dude. All right. And then let’s see if we can have this, like, kind of ready to go for a waste tomorrow, basically, so… And then maybe, like, the benefit here is, like, maybe you could also try to work on the one for Magic Spoon, if you have a sec.

259 00:29:32.380 00:29:36.309 Ashwini Sharma: Yeah, we don’t have the transcript for magic spoon, though, right?

260 00:29:36.550 00:29:39.029 Uttam Kumaran: Yeah, you may just have to narrate it.

261 00:29:39.810 00:29:40.860 Ashwini Sharma: Okay, alright.

262 00:29:40.860 00:29:41.540 Uttam Kumaran: Okay.

263 00:29:41.970 00:29:43.550 Uttam Kumaran: Okay. Thank you, dude.

264 00:29:43.550 00:29:44.800 Ashwini Sharma: Yeah, thank you.

265 00:29:45.400 00:29:46.120 Ashwini Sharma: Bye.