Meeting Title: Data platform meeting Date: 2025-05-12 Meeting participants: Annie Yu, Demilade Agboola, Awaish Kumar, Caio Velasco


WEBVTT

1 00:02:47.570 00:02:48.590 Demilade Agboola: Morning.

2 00:02:52.870 00:02:53.800 Caio Velasco: Good morning!

3 00:02:57.950 00:03:03.749 Awaish Kumar: Okay we can start. And I I don’t think I don’t know if you can.

4 00:03:04.180 00:03:11.829 Awaish Kumar: Any will be joining so we can start off so that I can

5 00:03:12.630 00:03:17.050 Awaish Kumar: shares that like the agenda for today’s meeting is to drive

6 00:03:18.055 00:03:22.910 Awaish Kumar: the work for data platform and to do that

7 00:03:23.070 00:03:30.089 Awaish Kumar: we have 2 things we we would like to do. Number one is, we want to create

8 00:03:31.030 00:03:38.710 Awaish Kumar: clear milestones, and the tickets and like

9 00:03:39.030 00:03:47.539 Awaish Kumar: ticket pointing, we, we will assign points to each ticket, and then, finally, we assign to the person who is interested in working on that.

10 00:03:48.199 00:03:53.140 Awaish Kumar: Along with. In these meetings we agree on the structure of

11 00:03:54.020 00:03:56.680 Awaish Kumar: how we are going to move forward like

12 00:03:56.860 00:04:00.800 Awaish Kumar: we will be planning like a sprints

13 00:04:01.273 00:04:06.407 Awaish Kumar: weekly sprints where we are going to like now, like

14 00:04:07.340 00:04:16.430 Awaish Kumar: every Tuesday, like today, we we are just going to plan and start off with this project on every Friday. We we will do a check in to see the see our progress.

15 00:04:16.800 00:04:20.430 Awaish Kumar: And every Tuesday, we are going to meet to.

16 00:04:21.100 00:04:36.949 Awaish Kumar: Basically, it will be a sprint planning meeting where we are going to see how we have done so far. are those everything we assign in this sprint are done, and what are the new tickets and if we have to move

17 00:04:37.320 00:04:42.470 Awaish Kumar: them to the sprint, and also any tickets we want to

18 00:04:43.050 00:04:53.811 Awaish Kumar: like, the want to like. Bring in to the new sprint from from the previous one. So things like that. So we would like to like structure it

19 00:04:54.750 00:04:56.689 Awaish Kumar: and the the data platform work.

20 00:04:57.120 00:04:59.640 Awaish Kumar: So yeah, any questions. So far.

21 00:05:06.450 00:05:10.909 Caio Velasco: Which the only question I have is, with this new structure.

22 00:05:11.240 00:05:15.150 Caio Velasco: Does it mean that we have consistent work stream

23 00:05:15.310 00:05:19.459 Caio Velasco: for the next months, or is this just something for? I don’t know. A month.

24 00:05:21.040 00:05:23.256 Awaish Kumar: Yeah, so this is something

25 00:05:26.620 00:05:29.770 Awaish Kumar: for like, for at least few months. Because

26 00:05:30.664 00:05:36.319 Awaish Kumar: we, we have data platform work. Then, like the data. 1st of all, the documentation work, then the

27 00:05:36.580 00:05:39.511 Awaish Kumar: observability work, and then we have some

28 00:05:40.260 00:05:43.899 Awaish Kumar: and like the steam like to to

29 00:05:44.400 00:05:51.969 Awaish Kumar: streamline streamline our Dbt work. So it’s going to be quite a work for some time. And

30 00:05:53.509 00:06:06.049 Awaish Kumar: and yeah, like, in the beginning, we we assign some streams right? So like you pick some, I pick some. But yeah, now we are. Like, we can like all

31 00:06:06.730 00:06:17.139 Awaish Kumar: like, move in in different work streams, like, if you want to work something on a observability side. I don’t know. Work on some tool like it’s it’s okay, right? We can

32 00:06:17.260 00:06:20.459 Awaish Kumar: see if we can make it like. If the workload is low, we can

33 00:06:20.750 00:06:23.479 Awaish Kumar: like bring in tickets from other streams

34 00:06:23.640 00:06:33.210 Awaish Kumar: into one. So it’s some. It’s a place where we are going to organize, and the plan of a week for data platform work depend depends on your availability as well.

35 00:06:34.667 00:06:39.510 Awaish Kumar: So let’s start maybe, like

36 00:06:40.870 00:06:48.540 Awaish Kumar: like I have seen your document. Which says, regarding the

37 00:06:52.770 00:06:55.429 Awaish Kumar: the documentation part.

38 00:06:56.090 00:06:59.629 Awaish Kumar: So what do you think like? What are the

39 00:07:00.100 00:07:08.020 Awaish Kumar: milestone like? I? I can see phases, but it’s more like how we are going to integrate with it with AI agent.

40 00:07:10.070 00:07:20.150 Awaish Kumar: so it’s kind of I want to understand in terms of documentation knowledge sharing the purpose of this document was to define, like to to

41 00:07:20.460 00:07:27.420 Awaish Kumar: to make a plan, how we are going to have a good documentation for every client.

42 00:07:28.226 00:07:31.139 Awaish Kumar: So I would like to now understand

43 00:07:31.760 00:07:37.489 Awaish Kumar: that what are the things which we can do right now to make the documentation great.

44 00:07:37.940 00:07:41.180 Awaish Kumar: So it doesn’t matter. Then we can see, like

45 00:07:41.370 00:07:51.619 Awaish Kumar: the AI agent can read it, and how we are going to update with AI agents. That’s another part we are. We will go to that afterwards.

46 00:07:52.378 00:08:02.240 Awaish Kumar: I see some automation tasks and some others. But yeah, before that, like, let’s make some I’m

47 00:08:02.410 00:08:05.410 Awaish Kumar: tickets for adding documentation.

48 00:08:06.280 00:08:11.139 Awaish Kumar: And what if you have any ideas like.

49 00:08:12.070 00:08:16.270 Awaish Kumar: what do you want to begin, Kayote? Any anyone.

50 00:08:17.810 00:08:22.400 Caio Velasco: Well, I can. I can start, and then when I add something, feel free.

51 00:08:23.750 00:08:24.600 Caio Velasco: So

52 00:08:25.480 00:08:35.400 Caio Velasco: I think the 1st thing is like that’s why, in the phase one, I put like the A and B like, define source one and define source 2. Because I understood that we have

53 00:08:35.690 00:08:43.349 Caio Velasco: choose. And when I say source, I’m I’m saying, from the AI agent point of view. So whatever the AI agent has to consume

54 00:08:43.690 00:08:46.269 Caio Velasco: to this, do the work he does

55 00:08:46.490 00:08:54.209 Caio Velasco: so. For example, if one of the sources is things in notion or documentation in notion, then

56 00:08:54.420 00:09:02.899 Caio Velasco: the idea is to define the exactly what type of documentation we need to have there. We already have something for for Javi

57 00:09:04.490 00:09:14.549 Caio Velasco: and divided into sections whatever. But then, yes, one thing is like is that the correct structure. So this is a question, if that’s the correct structure.

58 00:09:14.750 00:09:16.429 Caio Velasco: are we really going.

59 00:09:16.430 00:09:25.380 Awaish Kumar: Yeah, this basically purpose of this, this document was to also to define that like, what is the good documentation

60 00:09:26.453 00:09:37.020 Awaish Kumar: like? Why, like this, this documentation, this document which you have created. The purpose of this was to basically understand

61 00:09:37.487 00:09:46.869 Awaish Kumar: to define that actually, like like everyone in the company. This is our client, Javi, how this document will look like, and everybody will follow that.

62 00:09:48.220 00:09:52.630 Caio Velasco: Yes. So if you if you wanna check, it’s the the link right there.

63 00:09:53.270 00:09:56.411 Awaish Kumar: Yeah, I have seen that. It it is.

64 00:10:00.830 00:10:04.069 Awaish Kumar: I have seen this structure and

65 00:10:08.110 00:10:12.430 Caio Velasco: Yeah, this was like a 1st idea. And then, if this

66 00:10:12.680 00:10:16.240 Caio Velasco: make sense, then the next step would be

67 00:10:16.750 00:10:23.069 Caio Velasco: to understand. You know exactly what we have to put in there in terms of how far do we have to go

68 00:10:23.220 00:10:27.690 Caio Velasco: into going in the repu, or

69 00:10:28.100 00:10:31.680 Caio Velasco: Robert, or the client, or anything that we would need as.

70 00:10:31.680 00:10:37.460 Awaish Kumar: What do you think about this? Basically, this sheet?

71 00:10:37.820 00:10:45.580 Awaish Kumar: Is this good enough like this to like? I understand that there are some business

72 00:10:46.350 00:10:52.220 Awaish Kumar: questions and some other things in the that document which would be great. But like

73 00:10:52.810 00:10:58.309 Awaish Kumar: like we, we want to create like, we want to scope it down to to some actionable tasks.

74 00:10:58.660 00:11:01.620 Awaish Kumar: So if what do you think about this sheet like?

75 00:11:02.190 00:11:06.270 Awaish Kumar: Is this good enough for like if we have this one, is it good enough for the

76 00:11:06.390 00:11:09.080 Awaish Kumar: the people and also for the young agent

77 00:11:10.030 00:11:13.109 Awaish Kumar: to figure out where. Okay, like, this is the metric.

78 00:11:13.920 00:11:23.329 Awaish Kumar: This is this is a data for this comes from. This is the pipeline. Maybe we write the formula as well how this is basically calculated from what fields

79 00:11:23.600 00:11:25.550 Awaish Kumar: and then

80 00:11:28.550 00:11:32.240 Awaish Kumar: go to dashboard. It belongs things like that. So what is?

81 00:11:32.390 00:11:33.240 Awaish Kumar: We’ll just.

82 00:11:33.240 00:11:33.840 Caio Velasco: Chat.

83 00:11:34.250 00:11:43.350 Caio Velasco: Yeah, this this is what I proposed when I started at Blue at Brainforge like 3, 2, 3 months ago. But then, somehow, it came.

84 00:11:44.570 00:11:47.590 Caio Velasco: The platform in in this sheet appeared.

85 00:11:47.710 00:11:52.609 Caio Velasco: So that it depends on what you want to do. Is it gonna be notion, or is it gonna be Google Sheet, or

86 00:11:52.740 00:11:54.590 Caio Velasco: it’s just a matter of deciding.

87 00:11:54.730 00:12:01.450 Awaish Kumar: It. It is a combination of things right? It cannot be just one. Because, like how like this document.

88 00:12:01.730 00:12:03.929 Awaish Kumar: it’s great to understand.

89 00:12:04.570 00:12:14.359 Awaish Kumar: Like, you have this business context, industry concepts, technical concepts. And then the Faqs regarding like, okay, how to calculate this, which is coming from things like that.

90 00:12:14.730 00:12:21.350 Awaish Kumar: But yeah, this, this is more about like, likely

91 00:12:21.610 00:12:34.839 Awaish Kumar: format. Right? We can even put this thing in the notion as well. This is just about formatting, like, why do you think like it should be? Here are we put this table into the notion, or we? We just

92 00:12:35.350 00:12:36.949 Awaish Kumar: make it like, I think, that.

93 00:12:37.550 00:12:48.610 Demilade Agboola: I think the sheets and notion are answering like 2 different questions. So like notion is answering, like every single thing about the client, and everything that’s going on in the project.

94 00:12:49.170 00:12:51.160 Demilade Agboola: Well, the Google should be answering.

95 00:12:51.920 00:12:52.390 Awaish Kumar: Yes.

96 00:12:52.954 00:12:59.530 Demilade Agboola: Specific things to the dashboard. So not anything else but just the dashboard. So in each dashboard.

97 00:12:59.800 00:13:02.499 Demilade Agboola: where is everything coming from? And I think.

98 00:13:02.500 00:13:03.170 Awaish Kumar: Something.

99 00:13:03.473 00:13:19.850 Demilade Agboola: That can allow for like different different things to exist. Now, we might need to ask the AI team if that context, like how that’s like how the Google sheet is, if that is usable. And if there’s a format that you might prefer safety, we might have to move things slightly differently. But

100 00:13:20.110 00:13:25.849 Demilade Agboola: that’s a different conversation. But in terms of documentation I think they’re serving 2 different purposes.

101 00:13:28.200 00:13:38.383 Awaish Kumar: Yeah, but like my, still, my, I understand the differences. But what I’m trying to say here is that

102 00:13:40.300 00:13:49.520 Awaish Kumar: like we like, for example, if if a newcomer joins transit, he wants to work, he was assigned Javi.

103 00:13:49.980 00:13:58.000 Awaish Kumar: He wants to now start really understanding about the client his business domain.

104 00:13:58.750 00:14:02.530 Awaish Kumar: Some concepts like regarding industry. Some

105 00:14:03.260 00:14:11.999 Awaish Kumar: want to understand the project structure and things like that. Right? Then he wants to dive, dive in right? Okay, now, what?

106 00:14:12.910 00:14:18.830 Awaish Kumar: What dashboards are there? And then what are the formulas? And then

107 00:14:18.990 00:14:24.229 Awaish Kumar: what are the metrics, and what are the formulas? And then, when they, where they are coming from like this.

108 00:14:24.720 00:14:25.650 Awaish Kumar: So.

109 00:14:28.835 00:14:37.690 Caio Velasco: So the person would ask, the AI agent and the AI agent would go to this source. If this is what we define, and they would give the answer.

110 00:14:37.690 00:14:38.670 Awaish Kumar: Hello!

111 00:14:38.940 00:14:44.430 Awaish Kumar: Like, just just think, AI agent is our newcomer right?

112 00:14:45.740 00:15:00.480 Awaish Kumar: How he like how a human look for information! How he going to work. If Kyle, you are assigned to maybe hidden a new client, how would you go for it like we wanted to get a document which, going to

113 00:15:00.986 00:15:11.900 Awaish Kumar: support you in onboarding and like. Then we we can say, Okay, Kyle can on board himself using this other one. Our agent can also do that

114 00:15:12.050 00:15:13.958 Awaish Kumar: then we go with that.

115 00:15:14.900 00:15:17.460 Caio Velasco: Yeah, I think the newcomer would

116 00:15:17.960 00:15:32.980 Caio Velasco: read from top to bottom exactly this page, because it’s in that it was built in a didactic way. 1st understand the client, understand the industry, then understand the technical stuff, so get acquainted with the technical stuff.

117 00:15:32.980 00:15:33.520 Awaish Kumar: Okay.

118 00:15:33.520 00:15:40.129 Caio Velasco: Then understand what is the end-to-end data flow to be able to understand not only the engineering work, but also the

119 00:15:40.480 00:15:41.880 Caio Velasco: the downstream work.

120 00:15:41.990 00:15:54.779 Caio Velasco: And then after, when he or she starts working, he will probably have questions like, Okay, but why did you choose this field in this model? Then most likely should be

121 00:15:54.930 00:16:00.070 Caio Velasco: in the Fax section at the end. So literally, you would just go into notion.

122 00:16:00.770 00:16:11.040 Awaish Kumar: I. I agree with this structure only the one thing which which is I. I don’t think it makes in the mid here. Same make sense is Pr summaries.

123 00:16:12.260 00:16:15.290 Awaish Kumar: It can be at the bottom or somewhere, because

124 00:16:15.980 00:16:19.716 Awaish Kumar: because these is this is something. Keep on increasing, and

125 00:16:20.250 00:16:28.550 Awaish Kumar: we’ll add, keep on adding stuff for like, because we will be adding prs, since it can be somewhere in the like in the bottoms.

126 00:16:28.950 00:16:38.240 Awaish Kumar: or in maybe some other document which is like for each client we have hidden. Pr. Some reason we have some. Is there something like that?

127 00:16:39.336 00:16:40.409 Caio Velasco: So, okay.

128 00:16:40.760 00:16:43.780 Awaish Kumar: And then what do you think about this

129 00:16:43.920 00:16:48.709 Awaish Kumar: thing like? Is it make sense? Should we just remove it like we don’t need to maintain it.

130 00:16:48.990 00:16:51.120 Awaish Kumar: I want to make a decision here that.

131 00:16:52.780 00:17:02.400 Caio Velasco: So I think the well, if notion gives all the let’s say, end to end onboarding or knowledge.

132 00:17:02.610 00:17:04.510 Caio Velasco: If at some point

133 00:17:05.450 00:17:15.660 Caio Velasco: the AI agent or the person needs information about what metrics relates, to what source, to what data pipeline this comes from the source number 2,

134 00:17:16.030 00:17:24.970 Caio Velasco: which was the code base. So anything related to Dbt stuff or Github stuff. So I think the AI agent has to be able to

135 00:17:25.349 00:17:28.060 Caio Velasco: have has to. Yeah.

136 00:17:28.210 00:17:34.810 Caio Velasco: go to that code base and get this information. So theoretically, the Google Sheet is duplicated information.

137 00:17:35.330 00:17:38.200 Caio Velasco: If I’m not wrong, yeah.

138 00:17:38.850 00:17:50.410 Awaish Kumar: Okay. So you’re saying that AI agent should be able to read it from here, and we shouldn’t. We don’t have to manage it separately, right?

139 00:17:51.580 00:17:53.590 Demilade Agboola: Ideally. Yes, but we.

140 00:17:53.700 00:18:02.169 Demilade Agboola: We will need to test which which is part of what? What part of why, we’re trying to do a version one to see the limitations of whatever bought it is.

141 00:18:02.743 00:18:06.626 Demilade Agboola: So if we already have the code base, we could try with

142 00:18:07.310 00:18:11.369 Demilade Agboola: with Javi, because I know that’s part of what the AI team is working on.

143 00:18:11.500 00:18:26.409 Demilade Agboola: So if we go in there and we can ask what is the flow for? You know revenue in Javi unless you. If this will come up with the exact format that you know Google sheets we have in our Google sheets. If the if you can answer those questions the same way.

144 00:18:26.590 00:18:36.189 Demilade Agboola: then we know that we we don’t need to duplicate like the effort with Google sheets. If, on the other hand, it it doesn’t do it. Well, we know what to do.

145 00:18:36.190 00:18:36.929 Awaish Kumar: Yeah, so

146 00:18:37.150 00:18:47.319 Awaish Kumar: like, we, we like, we want to move forward with our documentation we want. And it’s okay, incrementally, okay, we we keep on

147 00:18:47.580 00:18:50.759 Awaish Kumar: making updates changes and adding stuff.

148 00:18:51.326 00:19:01.733 Awaish Kumar: and and yeah, if we if we can make decision later on, also about the sheet, right? So. But yeah, so let’s say that.

149 00:19:03.850 00:19:09.969 Awaish Kumar: what do you? What do you say? This is this structure like, is it? Okay?

150 00:19:12.020 00:19:25.349 Demilade Agboola: Yeah, I think I think it’s fine. I the it seems to touch most of what we need to think of when we’re thinking of documentation for a client, and I can’t necessarily say anything that is missing. If anyone see something, please do let us know.

151 00:19:25.850 00:19:34.412 Awaish Kumar: So there are a lot of lots of things which we know right what? How it they can be done. But only things about these faqs?

152 00:19:34.940 00:19:38.090 Awaish Kumar: how, how? And.

153 00:19:38.090 00:20:00.070 Caio Velasco: I get it. So the Faqs, yeah, the FAQ, this is just a whatever structure like, just a mock. So let’s say that we 1st test with like no questions over there, just the sections whatever, like midstream downstream, just to be organized. But we have no no questions. Then we would check test the AI agent. And then maybe someone is asking.

154 00:20:00.746 00:20:28.330 Caio Velasco: Where’s raw data stored to the AI agent? And then the AI agent did a bad job. So the Mvp number 2 version 2 would have to include this in the fact. So that’s how I see the incremental work happening because we don’t know what before testing, because everything is in the code base, right? But then, if the AI agent is not doing the right job, then it needs to be there. That’s how, more or less I see.

155 00:20:28.750 00:20:39.370 Awaish Kumar: Yeah, I understand that. But I I would just like that. Still, like like some of the questions which we already know. Right? Maybe, Kyle, you asked something about Joby. Right?

156 00:20:39.730 00:20:44.700 Awaish Kumar: Andrew asked a lot of questions like if in slack there are, there are like these.

157 00:20:46.310 00:20:48.629 Awaish Kumar: and I would like if we have some

158 00:20:48.870 00:20:53.700 Awaish Kumar: basic faqs. Also I asked any like in in one of our meetings

159 00:20:54.060 00:20:59.729 Awaish Kumar: about Eden, like she asked some questions, and I I asked her to build a kind of a document

160 00:21:00.637 00:21:05.160 Awaish Kumar: where I I don’t want it like 1,000 hundreds of questions, maybe any

161 00:21:05.510 00:21:12.990 Awaish Kumar: any question which you find on slack in a quick searches. We can copy paste that here, so

162 00:21:13.240 00:21:17.209 Awaish Kumar: we can start off with creating this document.

163 00:21:18.180 00:21:19.710 Awaish Kumar: So this is a template.

164 00:21:19.960 00:21:27.860 Awaish Kumar: But I think. What? What do you think? What? What would be a good ticket here like make? Should I make just a ticket with them?

165 00:21:27.980 00:21:36.609 Awaish Kumar: Make documentation for Javi, or, if we want to like, have more, get granular tickets.

166 00:21:40.975 00:21:47.790 Caio Velasco: How do you feel about like having already this doc document, this this notion page done?

167 00:21:48.410 00:21:52.169 Caio Velasco: Do you already feel it’s we are already in the test phase?

168 00:21:52.580 00:21:57.909 Caio Velasco: Or do you still have to put more stuff in there or delete stuff? How do you feel about it?

169 00:21:59.240 00:22:14.299 Demilade Agboola: I think, for the most part it just maybe can do some restructuring. But it’s not anything crazy. I think it’s just about some final questions of is this where this will lead? Finally, or should we push this another part?

170 00:22:16.220 00:22:18.289 Demilade Agboola: But for the most part I think this is fine.

171 00:22:20.223 00:22:21.130 Awaish Kumar: Like for

172 00:22:22.130 00:22:27.989 Awaish Kumar: like end to end flow for data, extraction, data, extraction. It comes from portable. Then it goes

173 00:22:30.885 00:22:33.859 Awaish Kumar: what what it says, like output shopify.

174 00:22:36.870 00:22:37.370 Awaish Kumar: Okay?

175 00:22:37.370 00:22:40.829 Demilade Agboola: Like where it goes into in those schemas.

176 00:22:41.060 00:22:46.309 Awaish Kumar: Okay, just telling the top level schema for each like how the flow looks like right.

177 00:22:46.990 00:22:47.860 Demilade Agboola: Exactly.

178 00:22:49.070 00:22:51.580 Awaish Kumar: Oh, okay, so like

179 00:22:51.780 00:22:59.460 Awaish Kumar: it. It is missing like there’s no business context like I. At least there could should be something right.

180 00:22:59.460 00:23:03.279 Caio Velasco: Yeah, yeah, of course, maybe you give me.

181 00:23:03.594 00:23:11.150 Awaish Kumar: Concepts. Right? So yeah, agent can read the code, but it does not know anything. What that code means. If you don’t tell it.

182 00:23:11.500 00:23:28.159 Awaish Kumar: So if there is a revenue, and, like there is a 2 fields in, I can give an example. So one is called transaction revenue. Other one is called order total. And basically they are the same, and the agent won’t know it if they are the same until and unless we say it.

183 00:23:28.270 00:23:30.659 Awaish Kumar: that these fields are the same.

184 00:23:33.810 00:23:42.850 Demilade Agboola: Yeah, yeah, definitely, it’s important to add, like the concepts. And I think that’s where maybe possibly we could use Dvc documentations.

185 00:23:43.370 00:23:53.849 Demilade Agboola: We we’ll see, I don’t know. It might, which is easier for us to do a sustain if it’s easier for us to just go put like definition of certain columns, or we should actually try to implement small like.

186 00:23:54.470 00:23:55.489 Demilade Agboola: do bitty dogs.

187 00:23:56.270 00:24:02.929 Awaish Kumar: To have some some like would you like? Instead of Xyz? We have some something real, right?

188 00:24:04.730 00:24:07.999 Awaish Kumar: Like we 5 trend the Amazon data.

189 00:24:10.100 00:24:14.580 Caio Velasco: Just because I didn’t wanna spend more hours doing something that I don’t know if it was gonna be.

190 00:24:14.580 00:24:14.930 Caio Velasco: yeah, yeah.

191 00:24:15.680 00:24:17.300 Caio Velasco: Yeah. So this is just.

192 00:24:17.300 00:24:18.730 Awaish Kumar: I’m just telling you.

193 00:24:18.730 00:24:19.619 Caio Velasco: For the next step.

194 00:24:19.620 00:24:23.899 Awaish Kumar: Create a ticket which is like finalized in documents.

195 00:24:24.110 00:24:25.660 Awaish Kumar: Oh, I don’t know.

196 00:24:26.580 00:24:31.300 Caio Velasco: Yeah, we can have, like a complete version, one for that document. And

197 00:24:31.580 00:24:38.189 Caio Velasco: and then I think the goal is to test the agent. If the agent is ready, and giving the correct answer, based on that.

198 00:24:38.390 00:24:41.220 Caio Velasco: we had at least a milestone completed right.

199 00:24:42.230 00:24:48.330 Demilade Agboola: Yes, also, I noticed. Annie started saying something I wanted, like, as she mentioned herself.

200 00:24:49.100 00:25:07.249 Annie Yu: Yeah, yeah, I was thinking, cause I and I was thinking this, based on that data platform documentation away share earlier. The Google Sheet. And there we do have like port metrics and all that. But in this notion I don’t think I saw that part.

201 00:25:07.530 00:25:16.909 Annie Yu: So so for more like specific metric format formulas. Will we try to include that in here, too.

202 00:25:18.770 00:25:19.360 Awaish Kumar: So, so.

203 00:25:19.600 00:25:26.109 Caio Velasco: That’s a good question. Because, yeah, the idea would be that that the AI agent would be able to

204 00:25:27.050 00:25:33.710 Caio Velasco: read the code base and give that answer. That’s why that answer specifically doesn’t need to be a notion.

205 00:25:34.310 00:25:42.900 Caio Velasco: Because you already have the code base, and we wouldn’t have to lose time doing that, but we don’t know if that would work. If it doesn’t work, then we have to include.

206 00:25:43.726 00:25:48.790 Awaish Kumar: So again, let’s move forward with getting some tickets here.

207 00:25:50.900 00:25:53.150 Awaish Kumar: Yeah. So for the.

208 00:25:53.880 00:25:57.680 Annie Yu: Sorry, Annie, just just a moment after. Give me.

209 00:25:59.490 00:26:03.560 Awaish Kumar: And let’s let’s define that.

210 00:26:03.670 00:26:13.020 Awaish Kumar: So whatever we saw in the template any number one, any examples will be

211 00:26:14.750 00:26:23.750 Awaish Kumar: which is real source. Sources are real flows right, and we will move.

212 00:26:24.210 00:26:28.370 Awaish Kumar: move, move. Pr, some of these talk.

213 00:26:29.820 00:26:33.590 Awaish Kumar: what do you think like should we put it in bottom or in a separate Doc?

214 00:26:35.760 00:26:48.369 Caio Velasco: So it so. What I, what I wrote there is just for for the AI agent to know it exists, but the Pr summaries has to be in another doc, because that’s probably like thousands and thousands of of text.

215 00:26:48.370 00:26:52.470 Awaish Kumar: Yes. So yeah, like, like, let’s formalize, formalize it that way.

216 00:26:53.720 00:26:58.929 Awaish Kumar: Have a Pr summary portion there, maybe, and then a link to the different document

217 00:26:59.506 00:27:04.139 Awaish Kumar: and those both documents needs to, for AI agents won’t be able to

218 00:27:04.757 00:27:15.490 Awaish Kumar: go from the link. We have to provide it separately. So let’s create a separate document also. And then close. And then also.

219 00:27:16.188 00:27:23.200 Awaish Kumar: what are what else? Like a basic faqs. If you can find from such basic searches.

220 00:27:24.620 00:27:30.980 Awaish Kumar: This one, right? And any. So what? What do you think? How long it’s going to take for you

221 00:27:31.540 00:27:33.370 Awaish Kumar: guys? Should I assign it to.

222 00:27:34.920 00:27:36.464 Caio Velasco: Yeah, this is

223 00:27:37.940 00:27:38.415 Awaish Kumar: To

224 00:27:39.060 00:27:45.229 Caio Velasco: Yeah, I mean one or 2 days. It’s it’s totally fine. Not in terms of full day. Full time work, of course not.

225 00:27:45.230 00:27:48.669 Awaish Kumar: In terms of hours. I want to understand how long it’s going to take.

226 00:27:49.580 00:27:55.770 Caio Velasco: Maybe it’s starting for it’s Monday. Today’s Monday, and we.

227 00:27:56.030 00:28:02.420 Awaish Kumar: Let me say, like custom. Maybe on when.

228 00:28:02.420 00:28:03.320 Caio Velasco: It’s a Wednesday.

229 00:28:06.810 00:28:07.709 Awaish Kumar: I don’t know.

230 00:28:09.650 00:28:15.099 Awaish Kumar: I I can’t figure out where are the points? But yeah, how how many hours do you estimate.

231 00:28:16.610 00:28:20.930 Caio Velasco: I think, for 4 h it should be sufficient sufficient to

232 00:28:21.160 00:28:24.019 Caio Velasco: look over everywhere, and and find everything.

233 00:28:24.480 00:28:30.650 Awaish Kumar: Okay, for I just write it here, but I will assign points to this, but I can’t find it where? Where?

234 00:28:31.350 00:28:32.300 Awaish Kumar: Okay?

235 00:28:35.300 00:28:39.919 Awaish Kumar: So this is a ticket, and you can.

236 00:28:39.920 00:28:42.480 Caio Velasco: And but for for the number 2,

237 00:28:42.690 00:28:45.860 Caio Velasco: number 2 itself, it’s something that I don’t.

238 00:28:45.860 00:28:47.370 Awaish Kumar: No, no, number 2 is but just.

239 00:28:47.370 00:28:53.650 Awaish Kumar: You just create a document, not entire, flow, bye and click.

240 00:28:53.650 00:29:03.249 Awaish Kumar: You will get a separate talk for Pr. Summaries, but I don’t expect you to like. Write automatically Pr summaries from github actions

241 00:29:03.927 00:29:06.789 Awaish Kumar: in 4 HI understand that.

242 00:29:07.450 00:29:18.935 Caio Velasco: I didn’t even know that existed, so that, you know, like my knowledge. But okay, so pr, some, because I think the Pr summers we were talking about cold rabbit, or something that I don’t know what it is.

243 00:29:19.230 00:29:37.129 Awaish Kumar: So we’ll figure out how to do that. But yeah, for now I just wanted the this document to be finalized and our structure is finalized for Javi. Everything is is done except Pr. How we are going to paste the Pr summaries is a separate task, and I will just create it also.

244 00:29:40.335 00:29:44.539 Awaish Kumar: Yes, to interrupt you. You can go ahead.

245 00:29:48.550 00:29:49.559 Annie Yu: Is it me?

246 00:29:50.260 00:29:51.940 Awaish Kumar: Yeah. You were saying something.

247 00:29:52.140 00:29:59.209 Annie Yu: Yeah, I was gonna follow up on Kyle’s answer. So I think my question then is, do we also expect.

248 00:29:59.350 00:30:13.029 Annie Yu: let’s say, like a new analyst or stakeholders from the client side. To use the AI to understand, let’s say, like core metrics without having a document like Google Sheet to hand off to them, because I think

249 00:30:13.510 00:30:19.009 Annie Yu: that would be helpful if we do have something that we can just share with them.

250 00:30:19.621 00:30:25.079 Annie Yu: So let’s say, if in the future they don’t use us anymore. They still have those.

251 00:30:30.640 00:30:35.150 Caio Velasco: I think. Well, after talking with you, Tom, and understanding

252 00:30:35.360 00:30:39.619 Caio Velasco: his mindset in terms of having something

253 00:30:40.240 00:30:42.729 Caio Velasco: that makes clients really like us.

254 00:30:43.290 00:30:48.519 Caio Velasco: I think. Yes, you, from a product and sales point of view, I would have to push.

255 00:30:48.780 00:31:05.129 Caio Velasco: Or, yeah, the client can even have, like an AI agent for them that can guide them through anything that they have been doing with us through slack or through meetings, or through anything, if we can get there. Not sure, but I think we would have to push forward for that. Yes, that would be amazing.

256 00:31:05.130 00:31:05.840 Awaish Kumar: That’s

257 00:31:06.200 00:31:13.869 Awaish Kumar: okay. Let’s plan out this week for data platform. And then I can discuss with them about other stuff

258 00:31:15.420 00:31:18.610 Awaish Kumar: finalized hidden documentation.

259 00:31:21.120 00:31:31.529 Awaish Kumar: Ep. One same to Javi. Same acceptance. Criteria I can assign like if you want.

260 00:31:31.880 00:31:35.349 Awaish Kumar: like demodic, I/O, any preference between you.

261 00:31:38.130 00:31:50.720 Caio Velasco: Well, I mean, I don’t have other work streams. So it depends on what is doing. It’s it’s up to him I would do, because, yeah, I can do it because I have hours. But I don’t know like what is.

262 00:31:51.193 00:31:52.140 Caio Velasco: I’m ready.

263 00:31:55.390 00:32:06.250 Demilade Agboola: I don’t have a lot of hours to focus fully on this, but I can always support, because I’m currently in Eden, so that that should you know, I have the business context, especially for Eden.

264 00:32:06.900 00:32:12.699 Awaish Kumar: Yeah, like, we have a lot of business contests. That’s why I wanted that

265 00:32:13.160 00:32:17.020 Awaish Kumar: somehow, like, maybe I can assign it to also, Kyle. But

266 00:32:17.140 00:32:20.180 Awaish Kumar: like, I, I want to like

267 00:32:21.120 00:32:30.120 Awaish Kumar: like, we want to finalize it in this week. So I I will assign it to Kyle. But yeah, maybe you can both work together on some things.

268 00:32:31.490 00:32:31.850 Demilade Agboola: Let me!

269 00:32:32.740 00:32:37.980 Caio Velasco: It’s a it’s. It will be a copy paste with some new things. So not doesn’t seem to be a problem.

270 00:32:37.980 00:32:41.050 Awaish Kumar: I can, I will assign some deadline for this.

271 00:32:45.000 00:32:45.710 Awaish Kumar: My understanding.

272 00:32:46.060 00:32:50.909 Caio Velasco: Yeah, maybe put on Thursday, just just in case I will. I will try to do it

273 00:32:51.200 00:32:57.740 Caio Velasco: as soon as I can. But since I’m not full time. I have to distribute my hours accordingly to my personal things as well.

274 00:32:59.220 00:33:03.209 Awaish Kumar: Yeah, okay, I understand. But yeah, like, you also mentioned to me

275 00:33:03.340 00:33:09.679 Awaish Kumar: something that I that’s why I want to assign some some stuff to you in this week. So you have a full

276 00:33:10.250 00:33:12.990 Awaish Kumar: cap like your availability utilized.

277 00:33:15.530 00:33:21.759 Caio Velasco: As long as I can keep them until end of the month or 2 months. Yes, otherwise I would prefer to distribute my own hours.

278 00:33:22.470 00:33:26.030 Caio Velasco: but I will try to do my best to to be to that deadline.

279 00:33:27.280 00:33:29.192 Awaish Kumar: Yeah, okay, so

280 00:33:35.690 00:33:44.530 Awaish Kumar: okay, and what else we have? This isn’t.

281 00:33:45.090 00:33:53.699 Awaish Kumar: After we have these documents, we might can for start working on integrating, like

282 00:33:57.190 00:33:58.070 Awaish Kumar: adding.

283 00:34:03.190 00:34:10.392 Awaish Kumar: yeah summaries to motion, but and

284 00:34:12.616 00:34:20.469 Awaish Kumar: like it will have. How to generation of Songlis

285 00:34:24.929 00:34:28.179 Awaish Kumar: on these and plus, like, automatically.

286 00:34:29.940 00:34:33.250 Awaish Kumar: all notion, like notion document gets updated.

287 00:34:35.090 00:34:39.570 Awaish Kumar: I know any preference like here. Anyone wants to take in.

288 00:34:39.860 00:34:43.539 Awaish Kumar: I don’t want to burden someone like, but yeah.

289 00:34:46.709 00:34:54.239 Caio Velasco: I would I would repeat the same I said, like, if if no one has time or anything, I can do it. As long as I distribute. It’s fine.

290 00:34:55.159 00:34:58.519 Demilade Agboola: Quick questions about this is this about

291 00:34:59.299 00:35:06.749 Demilade Agboola: creating the process for it? So like a template? Or are we specifically trying to do this for past pr.

292 00:35:07.060 00:35:26.259 Awaish Kumar: The template is will be created by as part of the other documentation we want where it will say, like, this is Pr summary document, and we will have a like, maybe like, and it will be like very simple template. I don’t want it to be complex. It is like just a

293 00:35:26.410 00:35:28.120 Awaish Kumar: link to Pr

294 00:35:28.632 00:35:39.899 Awaish Kumar: or link to any description written by the user on the Pr and auto generation. Auto generated summary of the Pr. From what? What is the changes?

295 00:35:40.070 00:35:49.519 Awaish Kumar: Like? A AI will generate the summary, and it gets paste to motion document. So only 2, 3 things, and of like for every Pr, we will have just have the Pr link

296 00:35:49.960 00:35:57.269 Awaish Kumar: and the anything, any description user added and any summary pi generated. And that’s all.

297 00:35:59.180 00:36:01.139 Awaish Kumar: This is basically the implementation.

298 00:36:02.760 00:36:08.450 Demilade Agboola: Yeah, sure, that’s not that. Yeah. So I think it just sounds like, what we’re trying to do

299 00:36:08.640 00:36:16.650 Demilade Agboola: is create how how it needs to be done. And if whatever code, whatever like

300 00:36:17.050 00:36:23.689 Demilade Agboola: process needs to go behind it so that it automatically will do that for any peer going forward. I think that will be.

301 00:36:25.580 00:36:28.249 Demilade Agboola: That’s that’s kind of how to think about it.

302 00:36:29.680 00:36:33.478 Awaish Kumar: Sorry. So yeah, that’s what I I said, like,

303 00:36:34.240 00:36:37.339 Awaish Kumar: So like we have the process like we.

304 00:36:37.890 00:36:54.340 Awaish Kumar: we have a github will have a a Github action or can I dexter draw which is going

305 00:36:55.190 00:37:10.620 Awaish Kumar: going to generate somebody’s body for the Prs and push it to specific client document.

306 00:37:13.680 00:37:26.510 Awaish Kumar: So, yeah, so part of this is that you can have a if you can see if you want to put it in github action, or we have now texted cloud as well as a tool. So you can utilize that

307 00:37:26.810 00:37:34.960 Awaish Kumar: anyone you can choose as part of doing this task and then basically implement this.

308 00:37:36.240 00:37:43.870 Demilade Agboola: That’s exactly what I’m trying to say. So like, this task is basically creating the framework like, what is the process and then

309 00:37:44.030 00:37:51.020 Demilade Agboola: and try to show how it will work. Like implementing is a mini demo of the process, so that we can then scale it across different clients

310 00:37:52.630 00:37:53.530 Demilade Agboola: right?

311 00:37:54.510 00:37:56.420 Awaish Kumar: Sorry.

312 00:37:57.280 00:38:00.240 Demilade Agboola: This task is about creating

313 00:38:00.350 00:38:13.959 Demilade Agboola: a template. So being able to say, Hey, we’re going to use instead of we’re going to use Github actions in combination with code rabbits in combination with this. And this is how a mini demo of it works. So I just pushed a Pr now.

314 00:38:14.090 00:38:16.959 Demilade Agboola: and it has, it has appeared in notion.

315 00:38:17.100 00:38:31.079 Demilade Agboola: being able to create a template, allows us to be able to then move it to other clients, so they can say for Eden, we will do this for this. We’ll do this. So we will like, be able to carry out. Carry out this same process across multiple clients

316 00:38:31.330 00:38:36.459 Demilade Agboola: because we already have a template for it. So we can create a default schedule of action

317 00:38:36.600 00:38:37.919 Demilade Agboola: beats. We can create.

318 00:38:37.920 00:38:43.176 Awaish Kumar: Yeah. So so my point here is that as a

319 00:38:43.780 00:38:49.650 Awaish Kumar: template, if we do it for one client so like, if we write up a

320 00:38:49.770 00:38:54.242 Awaish Kumar: a, a python code on texture cloud. This is something

321 00:38:55.000 00:39:01.359 Awaish Kumar: with just little bit of configuration updates, we can basically run it for every client.

322 00:39:01.870 00:39:11.619 Awaish Kumar: So like. Recently, I I work. I did a for example, I created a pipeline to put.

323 00:39:11.860 00:39:30.209 Awaish Kumar: get the Github code as a, and then merge it in a 1 text txt file, put it in a super base. Basically, after I done it for one client, I I can just write in the configuration. This is the client. This is the folder I want to put it in, and things like that, and it will do it. So the

324 00:39:30.510 00:39:41.489 Awaish Kumar: initial work which you are saying is is going to take some time. Okay? And that’s for that. And we I want to take one real client for that. So it’s maybe maybe we can see

325 00:39:42.180 00:39:47.090 Awaish Kumar: Eden or Javi any any whatever. You have decided already.

326 00:39:47.743 00:39:48.256 Awaish Kumar: And

327 00:39:49.140 00:40:01.539 Awaish Kumar: then basically implement this, maybe if you want to separate it out in deciding like, forget if we use github action or text to cloud, or which tool we are going to use to summarize the rule.

328 00:40:02.319 00:40:07.979 Awaish Kumar: prs, if if you if we want a separate ticket for that, I can create that as well.

329 00:40:10.660 00:40:19.010 Caio Velasco: So let me see if I’m if I understand. So I see 3. I can be wrong. But I I see 3 things. So this thing that you just mentioned like choosing the tool.

330 00:40:19.280 00:40:23.620 Caio Velasco: But then the outcome or the output of

331 00:40:24.650 00:40:44.790 Caio Velasco: of the the AI, the agent work, whatever like the this is, gonna be the document. And this is how the Pr summary summaries will look like this is something else. And then you have the implementation itself, which I don’t know what it is. Maybe it’s like coding something, whatever. So is it correct like? Do you have 3 layers for this.

332 00:40:46.060 00:40:49.010 Awaish Kumar: So this ticket is for implementing right?

333 00:40:49.610 00:40:51.379 Caio Velasco: But what do you mean by implementation?

334 00:40:51.690 00:40:58.039 Awaish Kumar: And like you implement the exact code which is going to create a Cpr summary and put it in a notion document.

335 00:40:58.250 00:40:59.030 Awaish Kumar: Client.

336 00:41:00.186 00:41:04.709 Awaish Kumar: So like, if you want Damiladi for your question, if you want

337 00:41:05.386 00:41:13.210 Awaish Kumar: that. Okay? Like, I think, from template, what do you mean is like? With which tool

338 00:41:13.320 00:41:25.380 Awaish Kumar: like a question to answer to the question like this, which tool we are 22 is for

339 00:41:25.830 00:41:33.700 Awaish Kumar: generating, like which we are, which Ki tool we are going to use for generating

340 00:41:34.284 00:41:42.739 Awaish Kumar: Pr summaries. Right? So if this is the question, or like how we are going to implement using it of action versus

341 00:41:42.910 00:41:44.860 Awaish Kumar: text or pipeline.

342 00:41:47.440 00:41:53.389 Awaish Kumar: Right? So if this, this was your question similarly, then, yeah, I can. We can have the separate ticket for that.

343 00:41:57.510 00:41:58.809 Awaish Kumar: So what do you say?

344 00:41:59.880 00:42:10.149 Demilade Agboola: Oh, so mark, my question, was basically like this task, it’s basically like a mini demo, it’s basically putting together the technical thing

345 00:42:10.470 00:42:13.180 Demilade Agboola: to ensure that. Okay? So we see how it works.

346 00:42:13.480 00:42:22.619 Demilade Agboola: And then, once we know how it works, we can scale it across multiple clients. So if, for instance, I create a github action, yaml file.

347 00:42:22.920 00:42:26.640 Demilade Agboola: And then I also integrate Code rabbit with it.

348 00:42:26.760 00:42:30.209 Demilade Agboola: And then I just put this sample demo like Pr.

349 00:42:30.330 00:42:35.629 Demilade Agboola: and then it will push it to notion. Doc. Based off the Github actions.

350 00:42:35.780 00:42:53.199 Demilade Agboola: I can then show this and be like, Hey, this is how it works, and then we can think of, okay, how do we scale it across multiple clients? We then make the kit of action like part of the template for all the clients that we start to integrate in the future, because we already have that document. Things like that. And that’s what’s kind of thinking.

351 00:42:53.600 00:42:59.670 Awaish Kumar: Yeah, this is kind of what you are saying is kind of we call it a word spying. Right?

352 00:42:59.820 00:43:19.079 Awaish Kumar: So you can decide on which tool we are going to use, which pipeline we are going to use. And you can just using that, you can create a kind of mini demo. Basically. Okay, I’ve generated this summary using this tool. And if we are going to do go with this one or not, right things like that are the questions who you choose

353 00:43:19.200 00:43:21.789 Awaish Kumar: just mentioned will be part of this.

354 00:43:23.220 00:43:23.980 Awaish Kumar: Wow!

355 00:43:24.360 00:43:28.910 Awaish Kumar: And then the other one i i was talking about is actually implementing that for client.

356 00:43:29.555 00:43:32.800 Awaish Kumar: So this one should I assign it to you? Damalade.

357 00:43:37.320 00:43:38.689 Demilade Agboola: You should work on this.

358 00:43:40.160 00:43:41.690 Awaish Kumar: In this week.

359 00:43:43.650 00:43:45.490 Demilade Agboola: Yes, but maybe Thursday.

360 00:43:47.070 00:43:52.080 Awaish Kumar: Okay? So I can just settings. Okay.

361 00:43:52.560 00:43:58.530 Awaish Kumar: it’s because we we want to have some momentum in this project. As as Kyle and you all suggested.

362 00:43:58.650 00:44:02.460 Awaish Kumar: We are setting deadlines for that. So no

363 00:44:06.860 00:44:08.300 Awaish Kumar: plugging off

364 00:44:08.780 00:44:15.579 Awaish Kumar: anything, any you want to participate in in these tickets like documentation, you work. Want to work with Kayo

365 00:44:16.080 00:44:20.640 Awaish Kumar: Although Kyle has 2 tickets assigned, you can participate if you want to.

366 00:44:20.910 00:44:26.760 Awaish Kumar: Similarly for this also, it is assigned to Tamil Ade. But

367 00:44:27.770 00:44:31.120 Awaish Kumar: if you want to do something you can like, let me

368 00:44:32.790 00:44:39.699 Awaish Kumar: like, maybe take one part like, Okay, I want to work on this question or this one. Then maybe you can choose.

369 00:44:42.340 00:44:50.879 Annie Yu: Yeah, I think I will. If Kyle’s okay, I’ll be helping the documentation, because I feel like that part is probably more doable for me.

370 00:44:53.150 00:44:56.349 Awaish Kumar: Okay, no worries. You can also learn right? It’s not like

371 00:44:56.770 00:45:01.480 Awaish Kumar: like you can learn from us. If in the in technical side. If you want to move.

372 00:45:02.074 00:45:07.745 Awaish Kumar: Maybe you can ask ask them already. But yeah, the documentation part you want to participate

373 00:45:08.866 00:45:11.780 Awaish Kumar: you can start off with hidden like

374 00:45:12.040 00:45:17.049 Awaish Kumar: for Javi. We have some template. Kyle is going to fix it. In the meantime, you can

375 00:45:17.723 00:45:28.569 Awaish Kumar: create a copy similar copy for Eden, and maybe then take help from Kyle also, and you both can. Then we are also like to finalize these documents.

376 00:45:29.290 00:45:31.550 Awaish Kumar: And Kyle like, if if you have some

377 00:45:32.164 00:45:37.850 Awaish Kumar: some things as you mentioned about managing hours, then all you need help like you can

378 00:45:38.330 00:45:41.280 Awaish Kumar: ask any. If she she’s has, she has availability.

379 00:45:43.510 00:45:46.739 Caio Velasco: Okay, can we do? Do we know which clients

380 00:45:47.000 00:45:49.939 Caio Velasco: would it be only Javi and Eden, or any other.

381 00:45:50.380 00:45:53.770 Awaish Kumar: So these are Javi hidden first, st right?

382 00:45:54.657 00:45:59.450 Awaish Kumar: So we. And then we have this task for spike assigned to them.

383 00:46:00.055 00:46:02.904 Awaish Kumar: Which is by Thursday as well.

384 00:46:03.700 00:46:07.969 Awaish Kumar: maybe I can then meet. We can meet on Thursday, basically.

385 00:46:09.710 00:46:17.000 Awaish Kumar: to see like if the documentation is done. If this demo is done, then we can some some implementation tickets

386 00:46:18.028 00:46:26.880 Awaish Kumar: so after the demo is done, what do you think right? Should I like you want to work on implementing as well or.

387 00:46:34.520 00:46:39.780 Demilade Agboola: Mute myself. Yeah, I’m here. Yeah, I I want to work on implementing as well.

388 00:46:40.680 00:46:42.149 Awaish Kumar: Sorry. Are you okay with that.

389 00:46:42.780 00:46:43.679 Demilade Agboola: Yes, I am.

390 00:46:44.320 00:46:53.140 Awaish Kumar: Okay, so I can assign it to you. And what you think, then, can be the button

391 00:46:53.480 00:46:58.900 Awaish Kumar: deadline for this like Friday, Monday.

392 00:47:03.475 00:47:04.540 Demilade Agboola: Monday.

393 00:47:08.260 00:47:08.960 Awaish Kumar: Okay.

394 00:47:10.607 00:47:16.449 Annie Yu: You need more help, you can let me know or like. Let me know how I can help.

395 00:47:19.730 00:47:20.180 Demilade Agboola: Sure.

396 00:47:20.200 00:47:24.879 Awaish Kumar: Sure. So this was mainly for documenting

397 00:47:27.570 00:47:31.428 Awaish Kumar: and then we I see this document.

398 00:47:32.410 00:47:37.619 Awaish Kumar: So after we have this, we can go far further. How sorry

399 00:47:38.240 00:47:47.509 Awaish Kumar: how we are going to. Basically, I am use other things like.

400 00:47:49.310 00:47:53.360 Awaish Kumar: because we already have some of things like we have a zoom.

401 00:47:53.780 00:47:58.610 Awaish Kumar: Come, call! Somebody’s already in our warehouse, I think

402 00:47:59.490 00:48:11.930 Awaish Kumar: already, like the the our board can read it we have, if we have, we have done with. Get up actions. We are done with documentation. We can basically then actually tell the item that, yeah, they can bear some.

403 00:48:12.230 00:48:13.630 Awaish Kumar: But thank you.

404 00:48:18.280 00:48:23.010 Awaish Kumar: Yeah. So any, I think I can assign your ticket as well here.

405 00:48:23.380 00:48:32.120 Awaish Kumar: Basically, we talked about it and we never phone created a ticket fake.

406 00:48:32.580 00:48:35.649 Awaish Kumar: FAQ, Doc. For Karen.

407 00:48:35.990 00:48:43.200 Awaish Kumar: It can be incremental. It it might not. It doesn’t need to be perfect anything you

408 00:48:43.710 00:48:46.569 Awaish Kumar: anything you have, you can just

409 00:48:47.050 00:48:49.660 Awaish Kumar: create a doc and put in their Faqs.

410 00:48:51.630 00:48:56.070 Caio Velasco: How? What is the difference between this one and the FAQ and the other one? Then in the.

411 00:48:56.070 00:49:01.010 Awaish Kumar: There’s no difference. This is just basically any questions she asked to me.

412 00:49:02.320 00:49:17.654 Awaish Kumar: me, you damilady Robert, anything like on a site, as I mentioned to you like anything you have about Javi. You can paste it in your document. Anything Annie has about hidden. She will just

413 00:49:18.980 00:49:23.089 Awaish Kumar: like, put it in one place for for this document. So this is just

414 00:49:24.060 00:49:26.709 Awaish Kumar: like kind of helping you in building that database.

415 00:49:27.910 00:49:32.810 Caio Velasco: Perfect. Perfect. So, yeah, okay, so there would be another document, copy and paste, or even.

416 00:49:32.810 00:49:38.829 Awaish Kumar: Yeah, yeah, we just create another document for now. But then we can just copy paste it into this one, the bigger one.

417 00:49:42.490 00:49:43.450 Awaish Kumar: Okay.

418 00:49:46.070 00:49:46.630 Caio Velasco: Yep.

419 00:49:46.830 00:49:50.820 Awaish Kumar: Any do. What do you think like? Would you be able to prepare something like.

420 00:49:53.540 00:49:54.910 Annie Yu: Yes, sure.

421 00:49:55.750 00:50:00.260 Awaish Kumar: Like. Do you have any date in mind? Wednesday, Thursday, any anywhere.

422 00:50:04.410 00:50:05.890 Annie Yu: Can we do?

423 00:50:06.150 00:50:07.460 Annie Yu: Thursday?

424 00:50:08.590 00:50:13.080 Awaish Kumar: Like, okay, okay.

425 00:50:16.800 00:50:20.609 Awaish Kumar: okay. And how many hours do you think it’s going to take.

426 00:50:27.590 00:50:28.010 Awaish Kumar: Hopefully.

427 00:50:28.010 00:50:28.590 Annie Yu: He!

428 00:50:30.160 00:50:33.130 Awaish Kumar: Yeah. Just spend spend like one to 2 h. Just.

429 00:50:33.130 00:50:33.840 Annie Yu: Yeah.

430 00:50:33.840 00:50:38.069 Awaish Kumar: Like. Don’t I don’t want that like you keep asking

431 00:50:38.850 00:50:50.750 Awaish Kumar: people and then generate something like anything you have in your slack in conversation, or anywhere. In conversation with Robert, me or Demi like. Just copy this all in one

432 00:50:51.090 00:50:53.550 Awaish Kumar: document, that’s all.

433 00:50:54.030 00:50:56.530 Annie Yu: Yeah. And for this one it can be

434 00:50:57.281 00:51:00.050 Annie Yu: business related to as well. Right.

435 00:51:00.420 00:51:03.970 Awaish Kumar: Yeah. Yeah. Any any Africans? Technical business, related anything?

436 00:51:04.460 00:51:05.070 Annie Yu: Yeah.

437 00:51:07.270 00:51:15.819 Caio Velasco: You. You can. You can, if you want any, after you can message me at any point, and then I can also tell you a bit how I did the ones I have, and then my in my guide through

438 00:51:16.000 00:51:21.149 Caio Velasco: I don’t know if he even has a a bot as well. That was helpful to me.

439 00:51:21.320 00:51:23.340 Caio Velasco: But yeah, I can tell you more about it.

440 00:51:24.190 00:51:25.250 Annie Yu: Okay. Okay.

441 00:51:25.540 00:51:26.540 Awaish Kumar: Thank you so much.

442 00:51:27.150 00:51:30.870 Caio Velasco: Yeah, I wanted to add some tickets for.

443 00:51:31.610 00:51:37.479 Awaish Kumar: Other streams, monitoring and observability as well here. But we are

444 00:51:38.430 00:51:42.289 Awaish Kumar: almost on time. But yeah, also, Luke is not here.

445 00:51:43.910 00:51:47.000 Awaish Kumar: We have a we have a successfully added Meta plane.

446 00:51:47.420 00:51:58.100 Awaish Kumar: And now we want to add a tests for aiden on Meta play.

447 00:52:04.370 00:52:06.359 Awaish Kumar: Just basically.

448 00:52:06.930 00:52:12.180 Awaish Kumar: So anyone, if any one of you interested in working on

449 00:52:12.660 00:52:15.709 Awaish Kumar: anything apart from documentation part. You can let me know.

450 00:52:16.238 00:52:20.260 Awaish Kumar: I’m just adding tickets here, and then, if anyone is interested, I can assign

451 00:52:20.610 00:52:22.110 Awaish Kumar: them to you as well.

452 00:52:24.760 00:52:27.917 Caio Velasco: I am interested. I just hope I know what I have to do.

453 00:52:29.080 00:52:36.130 Awaish Kumar: So anyone like, do you all do you have access to Meta plane? Anyone of you have

454 00:52:37.060 00:52:44.160 Awaish Kumar: seen it logged into it? Okay, you can find the link in Meta within one pass

455 00:52:45.124 00:52:47.219 Awaish Kumar: in the shared vault.

456 00:52:47.600 00:52:50.620 Awaish Kumar: If you search for Meta plane you will find a

457 00:52:51.420 00:52:57.219 Awaish Kumar: like authentication. Information like your username password for Luke.

458 00:52:57.650 00:52:58.770 Awaish Kumar: Use that

459 00:52:59.305 00:53:06.149 Awaish Kumar: you will also have for. But don’t use that. The trial is added for for his account. So we are not using it anymore.

460 00:53:06.340 00:53:10.180 Awaish Kumar: So the the one for Luke, just use that login, and

461 00:53:10.310 00:53:14.440 Awaish Kumar: you can just familiarize yourself with the with the tool.

462 00:53:14.910 00:53:21.630 Awaish Kumar: And then we can discuss another task for observability.

463 00:53:21.820 00:53:24.480 Awaish Kumar: Similar? Totally. Just.

464 00:53:34.070 00:53:35.490 Awaish Kumar: okay. Oh.

465 00:53:40.540 00:53:44.870 Awaish Kumar: okay. Anything else. If I have missed something in documentation.

466 00:53:45.330 00:53:48.529 Awaish Kumar: curating any ticket or anything you have in mind.

467 00:53:50.690 00:53:58.229 Caio Velasco: So the only thing just to make sure that I understood the process about the pr summaries I had put in I had pasted in the chat.

468 00:53:58.710 00:54:00.769 Caio Velasco: If you if you can open

469 00:54:04.570 00:54:06.379 Caio Velasco: to zoom, zoom, chat.

470 00:54:10.560 00:54:12.930 Caio Velasco: or if you just take a look, it’s also fine.

471 00:54:14.190 00:54:18.380 Caio Velasco: Because this is what I understood about the the Pr summary discussion.

472 00:54:22.150 00:54:28.030 Awaish Kumar: Like the for you as part of the documentation I just wanted number one.

473 00:54:28.640 00:54:29.820 Caio Velasco: The moment. Yes.

474 00:54:29.820 00:54:38.759 Awaish Kumar: So for Javi. You have a document, you for agent. You have a complete document which we discuss, and then you will have this template document for both.

475 00:54:38.880 00:54:43.099 Awaish Kumar: which is just going to tell us the name of the Pr. And the link to the Pr. And the

476 00:54:43.420 00:54:44.139 Awaish Kumar: and I.

477 00:54:44.140 00:54:45.199 Awaish Kumar: Nice space for the

478 00:54:45.200 00:54:58.179 Awaish Kumar: 2 other sections, one which basically copies the description of the Pr and one section basically auto generated summaries from AI, right? So maybe just the template.

479 00:54:58.340 00:55:03.850 Awaish Kumar: the other one with point number 2 and 3. They are basically part of spy task

480 00:55:03.970 00:55:08.130 Awaish Kumar: Mini demo task kind of which is assigned to demo at it.

481 00:55:09.080 00:55:11.420 Caio Velasco: Okay. So so I got it right? Okay, cool.

482 00:55:17.030 00:55:20.140 Awaish Kumar: Damilani. Anything else do you have in your mind.

483 00:55:21.900 00:55:23.250 Demilade Agboola: Nothing for me right now.

484 00:55:24.250 00:55:28.779 Awaish Kumar: Okay. Okay, okay. Also, any one of you. If you would want to

485 00:55:29.729 00:55:33.920 Awaish Kumar: say something, or maybe if anything comes into your mind after we

486 00:55:34.870 00:55:38.249 Awaish Kumar: drop off from this call, and any tickets we

487 00:55:38.390 00:55:41.399 Awaish Kumar: missed adding, or anything. You’ll just

488 00:55:43.240 00:55:50.689 Awaish Kumar: can message me, and we can just add it asynchronously as well, any. Also, like I

489 00:55:51.250 00:55:55.415 Awaish Kumar: I see there’s on this like

490 00:55:57.250 00:56:02.190 Awaish Kumar: data platform work. There’s not not much assigned to you like, if if you want any.

491 00:56:02.840 00:56:12.359 Awaish Kumar: If you want to work on anything, just let me know like we can. I can add like these tests, which I added, I can maybe assign it to you, or if you want to work on those as well.

492 00:56:14.270 00:56:16.730 Annie Yu: Okay. Yeah, I’ll let you know. Thanks.

493 00:56:16.730 00:56:22.510 Awaish Kumar: Okay, okay, thank you so much. Thank you for your time. And

494 00:56:23.360 00:56:26.249 Awaish Kumar: let’s see how far we reach on. Maybe

495 00:56:26.960 00:56:28.959 Awaish Kumar: Thursday or Friday we can meet again.

496 00:56:29.930 00:56:40.579 Caio Velasco: Okay, just a quick, quick thing. When you mentioned to me personally that you might have other things. It was already what we discussed it here? Or is it outside of data platform.

497 00:56:43.120 00:56:44.720 Awaish Kumar: For the tasks.

498 00:56:45.860 00:56:49.999 Caio Velasco: Yes, that you mentioned in the last meeting that we couldn’t talk like so.

499 00:56:50.000 00:57:00.590 Awaish Kumar: So it it can be anything for AI to get a platform to data

500 00:57:01.543 00:57:07.330 Awaish Kumar: automation. So in AI, there’s a lot of automation, you, but you have to.

501 00:57:07.490 00:57:13.600 Awaish Kumar: I I like you have to work like write python code, write some automation

502 00:57:14.078 00:57:27.669 Awaish Kumar: learn about one more tool like kind of Dexter, things like that. So if if you’re okay with doing like as as I understood, you are okay. But if you’re okay with doing that just message me, and we can meet separately.

503 00:57:28.500 00:57:29.090 Caio Velasco: Okay.

504 00:57:29.440 00:57:30.549 Awaish Kumar: Okay. Thank you.

505 00:57:30.960 00:57:32.100 Caio Velasco: Perfect. Thank you. Thank you.

506 00:57:34.900 00:57:36.230 Caio Velasco: See, you guys, bye-bye.

507 00:57:36.230 00:57:38.410 Awaish Kumar: Okay. See you, everyone. Bye.