Meeting Title: AI Team Standup Date: 2025-07-02 Meeting participants: Mustafa Raja, Luke Daque, Uttam Kumaran, Brainforge
WEBVTT
1 00:04:20.350 ⇒ 00:04:22.200 Luke Daque: Hi! Mustafa! How’s it going.
2 00:04:27.140 ⇒ 00:04:28.189 Mustafa Raja: Hey! How are you?
3 00:04:35.630 ⇒ 00:04:36.580 Uttam Kumaran: Hey, guys.
4 00:04:37.820 ⇒ 00:04:38.230 Mustafa Raja: Hey!
5 00:04:38.230 ⇒ 00:04:38.770 Uttam Kumaran: System?
6 00:04:41.420 ⇒ 00:04:43.146 Uttam Kumaran: How’s everything?
7 00:04:44.010 ⇒ 00:04:44.670 Mustafa Raja: So far.
8 00:04:50.460 ⇒ 00:04:52.430 Uttam Kumaran: That cast was originally designed.
9 00:05:04.365 ⇒ 00:05:10.935 Uttam Kumaran: I think most I think Miguel is gonna be a little out today, he said he had
10 00:05:11.600 ⇒ 00:05:13.649 Uttam Kumaran: a personal thing come up.
11 00:05:14.060 ⇒ 00:05:16.179 Uttam Kumaran: So I think it’s just gonna be us.
12 00:05:16.610 ⇒ 00:05:20.130 Uttam Kumaran: Maybe. Kc, let’s do that.
13 00:05:23.410 ⇒ 00:05:28.049 Uttam Kumaran: We also are as bad as the latest.
14 00:05:29.190 ⇒ 00:05:32.080 Uttam Kumaran: That’s pretty much the 1st thing that gets done
15 00:05:46.160 ⇒ 00:05:47.410 Uttam Kumaran: really going to.
16 00:05:48.560 ⇒ 00:05:49.770 Uttam Kumaran: We have our job
17 00:05:58.360 ⇒ 00:06:03.410 Uttam Kumaran: like, actually, yes, I’m like, what’s the yeah.
18 00:06:12.380 ⇒ 00:06:14.210 Uttam Kumaran: most of the time. It’s on.
19 00:06:14.210 ⇒ 00:06:17.260 Luke Daque: Slowed. We lost the stuff.
20 00:06:18.140 ⇒ 00:06:19.429 Luke Daque: It’s connected, I guess.
21 00:06:21.000 ⇒ 00:06:25.860 Uttam Kumaran: Yeah, I think it. Maybe he’s gonna come back.
22 00:06:27.230 ⇒ 00:06:28.920 Luke Daque: There’s Mr. Brainforge again.
23 00:06:30.680 ⇒ 00:06:31.700 Luke Daque: Hi, Casey.
24 00:06:35.465 ⇒ 00:06:36.040 Uttam Kumaran: Hey?
25 00:06:40.420 ⇒ 00:06:41.210 Uttam Kumaran: Okay.
26 00:06:42.670 ⇒ 00:06:43.145 Uttam Kumaran: Well,
27 00:06:49.620 ⇒ 00:06:52.080 Mustafa Raja: Sorry. My Internet got disconnected.
28 00:06:53.030 ⇒ 00:06:56.700 Uttam Kumaran: They do. Yeah. So during that. So not only is the Internet
29 00:06:56.950 ⇒ 00:07:02.770 Uttam Kumaran: moving actually, but it does shrink basically cool.
30 00:07:05.370 ⇒ 00:07:07.718 Uttam Kumaran: does someone want to run today.
31 00:07:08.670 ⇒ 00:07:09.660 Uttam Kumaran: Cocktail.
32 00:07:12.360 ⇒ 00:07:17.570 Uttam Kumaran: Maybe, Luke, you wanna give it a go new one.
33 00:07:18.330 ⇒ 00:07:20.790 Luke Daque: Oh, yeah, sure. Let me.
34 00:07:20.790 ⇒ 00:07:22.250 Uttam Kumaran: The accent, the accent.
35 00:07:22.250 ⇒ 00:07:23.510 Luke Daque: Share my screen.
36 00:07:24.330 ⇒ 00:07:26.750 Uttam Kumaran: In my perspective, they deal not as much.
37 00:07:27.470 ⇒ 00:07:28.220 Uttam Kumaran: So.
38 00:07:28.830 ⇒ 00:07:30.499 Uttam Kumaran: It’s in the accidental. It’s like.
39 00:07:31.740 ⇒ 00:07:32.389 Luke Daque: There you go.
40 00:07:32.390 ⇒ 00:07:33.820 Luke Daque: Can you see my screen.
41 00:07:36.890 ⇒ 00:07:37.520 Mustafa Raja: Yep.
42 00:07:41.050 ⇒ 00:07:44.490 Luke Daque: Yeah. So I’m now in the AI.
43 00:07:44.490 ⇒ 00:07:50.384 Uttam Kumaran: Oh, yeah, the suggestion would be to go to views.
44 00:07:51.980 ⇒ 00:07:52.620 Luke Daque: Okay.
45 00:07:53.850 ⇒ 00:07:58.439 Uttam Kumaran: Well, I’ll go to the Workspace views here.
46 00:07:59.810 ⇒ 00:08:02.100 Luke Daque: Where is that? Oh, this one Gotcha!
47 00:08:03.080 ⇒ 00:08:07.860 Uttam Kumaran: And then you can click on AI team. Active tickets.
48 00:08:08.430 ⇒ 00:08:09.880 Luke Daque: Oh, cool! Nice!
49 00:08:10.432 ⇒ 00:08:15.550 Uttam Kumaran: Just check that cool. And can you zoom in a little bit? Sorry I’m on my laptop.
50 00:08:15.830 ⇒ 00:08:17.070 Luke Daque: Sorry.
51 00:08:17.765 ⇒ 00:08:23.300 Uttam Kumaran: Cool. So yeah, typically, the way we do is we just run through client stuff first, st
52 00:08:23.650 ⇒ 00:08:28.350 Uttam Kumaran: and then we can run through data platform and then AI team so
53 00:08:28.670 ⇒ 00:08:33.169 Uttam Kumaran: and probably start with anything that’s like in review and then move, move backwards.
54 00:08:33.490 ⇒ 00:08:40.820 Luke Daque: Okay, so let’s start with ABC, home. Anything in review here. There’s 1
55 00:08:43.870 ⇒ 00:08:45.310 Luke Daque: in return instead.
56 00:08:46.340 ⇒ 00:09:09.459 Mustafa Raja: Yes. So so this was A small automation. Amber wanted so for so on the feedback side to test Andy’s response, the improvements on Andy’s responses. What Amber would have to do is Amber would have to copy the question, move to the Google chat and then paste it there for Andy’s response.
57 00:09:09.460 ⇒ 00:09:23.630 Mustafa Raja: what I did is, I have added a button in the Google sheets which you can click. And Andy Andy would respond in a new column. So that so that makes it a lot a lot easier for amber
58 00:09:25.160 ⇒ 00:09:28.770 Mustafa Raja: and here’s a quick loan if anyone wants to see.
59 00:09:29.480 ⇒ 00:09:32.429 Luke Daque: Cool, so looks like this is already working.
60 00:09:32.430 ⇒ 00:09:35.619 Mustafa Raja: This is for review, for amber.
61 00:09:35.620 ⇒ 00:09:36.320 Uttam Kumaran: That’s a neat.
62 00:09:36.760 ⇒ 00:09:37.270 Luke Daque: Nice.
63 00:09:37.590 ⇒ 00:09:38.520 Uttam Kumaran: 30 years.
64 00:09:40.030 ⇒ 00:09:44.470 Luke Daque: Cool. Next we can go to full parts.
65 00:09:46.280 ⇒ 00:09:46.749 Uttam Kumaran: Yeah, I will.
66 00:09:46.750 ⇒ 00:09:50.179 Luke Daque: Looks like. Nothing is in review at the moment.
67 00:09:50.810 ⇒ 00:09:53.959 Uttam Kumaran: Yeah, nothing there for now.
68 00:09:55.090 ⇒ 00:09:58.079 Luke Daque: And what’s what’s chat walrus? Is this like another client?
69 00:09:58.880 ⇒ 00:10:03.080 Uttam Kumaran: Correct. Yes, I think that’s gonna be on Casey.
70 00:10:03.080 ⇒ 00:10:04.759 Luke Daque: And there’s 1 interview.
71 00:10:06.521 ⇒ 00:10:10.839 Brainforge: Yeah, I did tag them here. So I already finished.
72 00:10:11.790 ⇒ 00:10:21.179 Brainforge: you know, exporting all the zoom recordings that they have from Craig’s account to to Google drive. So yeah.
73 00:10:22.040 ⇒ 00:10:28.819 Brainforge: there. So yeah, I already let the client know about this.
74 00:10:32.480 ⇒ 00:10:35.419 Brainforge: And I guess for the other tickets.
75 00:10:35.500 ⇒ 00:10:36.429 Uttam Kumaran: 1 h, lunch.
76 00:10:37.610 ⇒ 00:10:42.900 Brainforge: I they don’t want to add windmill yet, so I guess I’ll just have to
77 00:10:43.460 ⇒ 00:10:46.469 Brainforge: look into any. Then, if there’s like a way I could.
78 00:10:47.500 ⇒ 00:10:51.339 Brainforge: You know, replicate the same workflow
79 00:10:52.900 ⇒ 00:10:56.169 Uttam Kumaran: But didn’t we already try that.
80 00:10:58.950 ⇒ 00:11:04.602 Brainforge: Yeah. But yeah, I guess we did. But I I just wanted to make sure that
81 00:11:06.000 ⇒ 00:11:10.049 Brainforge: if it’s possible or not, but because ideally, I I would prefer.
82 00:11:10.359 ⇒ 00:11:10.669 Uttam Kumaran: Second.
83 00:11:10.670 ⇒ 00:11:15.179 Brainforge: We just replicate the stuff we did from zoom from windmill.
84 00:11:15.360 ⇒ 00:11:16.900 Brainforge: But yeah, they they’re.
85 00:11:16.900 ⇒ 00:11:17.379 Uttam Kumaran: Yeah, I mean.
86 00:11:17.380 ⇒ 00:11:17.810 Brainforge: There, we just.
87 00:11:17.810 ⇒ 00:11:24.916 Uttam Kumaran: Tell them that look like we’re trying to run these python workflows like Nan does not have. I mean, basically the challenges any then doesn’t have like
88 00:11:25.740 ⇒ 00:11:27.230 Uttam Kumaran: storage right like.
89 00:11:27.540 ⇒ 00:11:28.040 Brainforge: Yeah. Sorry.
90 00:11:28.040 ⇒ 00:11:36.260 Uttam Kumaran: To to move files like that. I would articulate that and tell them like, Hey, it’s gonna take us probably another 5 h to go investigate this.
91 00:11:36.834 ⇒ 00:11:42.320 Uttam Kumaran: so we can either go spend time doing that or we have a process that’s working right now.
92 00:11:43.740 ⇒ 00:11:45.240 Brainforge: Okay. Okay.
93 00:11:48.160 ⇒ 00:11:53.709 Uttam Kumaran: That’s probably what I would suggest. I would say, Hey, like due to like the fact that these are large files, and it and doesn’t have
94 00:11:54.040 ⇒ 00:12:01.659 Uttam Kumaran: like memory storage to like process these in flight. So we use windmill. It’s a simple workflow executor.
95 00:12:02.334 ⇒ 00:12:05.579 Uttam Kumaran: If you want us to use an alternate. We can. But
96 00:12:06.250 ⇒ 00:12:11.659 Uttam Kumaran: we’ve tried to replicate this in before, and it doesn’t work. We can invest. Spend another
97 00:12:12.310 ⇒ 00:12:16.100 Uttam Kumaran: few hours investigating. If you want to use the time that way, basically.
98 00:12:17.340 ⇒ 00:12:20.310 Uttam Kumaran: But I prefer not to. Yeah.
99 00:12:20.310 ⇒ 00:12:25.740 Brainforge: Yeah, me, too. I just wanna use the same one. But yeah, okay, I’ll I’ll send them.
100 00:12:30.090 ⇒ 00:12:32.599 Brainforge: Yeah, that’s it for for this one.
101 00:12:33.250 ⇒ 00:12:33.910 Luke Daque: Cool.
102 00:12:35.810 ⇒ 00:12:36.550 Luke Daque: Yeah.
103 00:12:37.845 ⇒ 00:12:38.100 Uttam Kumaran: And.
104 00:12:38.100 ⇒ 00:12:41.320 Luke Daque: I think we skipped the ABC. Home in progress once
105 00:12:41.700 ⇒ 00:12:52.119 Luke Daque: I have still these in pro in progress. I have a call with a wish after this to discuss further, like what we can do with this one
106 00:12:52.230 ⇒ 00:12:56.739 Luke Daque: mock up for the 8 by 8 data.
107 00:12:58.630 ⇒ 00:13:00.950 Luke Daque: And then, yeah, I’ll continue
108 00:13:01.520 ⇒ 00:13:08.099 Luke Daque: updating the real dashboard to connect the the 8 by 8 data from the Sq. Bucket.
109 00:13:09.960 ⇒ 00:13:10.280 Mustafa Raja: Yeah.
110 00:13:11.480 ⇒ 00:13:30.290 Mustafa Raja: for my ticket. That’s in progress. What this is is exactly like the other one so the purpose of this would be to see the question, the user is asking, where? Where
111 00:13:30.500 ⇒ 00:13:33.941 Mustafa Raja: where does the relevant information?
112 00:13:35.105 ⇒ 00:13:50.049 Mustafa Raja: in the Central Doc come from. So we have. We have split Central Doc in in sections based on the headings in Toc, right? So we would want to know. Okay. If if a user is asking a certain question.
113 00:13:51.120 ⇒ 00:13:58.629 Mustafa Raja: where? Which sections can can answer? That particular question, this is.
114 00:13:59.150 ⇒ 00:14:00.189 Mustafa Raja: And this is what this.
115 00:14:00.190 ⇒ 00:14:05.600 Uttam Kumaran: Because of a Hello, Gotcha.
116 00:14:05.820 ⇒ 00:14:06.660 Uttam Kumaran: Okay.
117 00:14:08.400 ⇒ 00:14:09.100 Luke Daque: Cool.
118 00:14:09.100 ⇒ 00:14:09.444 Uttam Kumaran: Okay.
119 00:14:11.460 ⇒ 00:14:15.540 Luke Daque: Yeah. So I guess we’re here in the internal tickets.
120 00:14:15.810 ⇒ 00:14:19.200 Luke Daque: We have a couple interview, mostly from a staff. It’s like.
121 00:14:20.820 ⇒ 00:14:31.877 Mustafa Raja: Yeah, for for this I’ve asked Elisa me for her review, and also I’ve asked Robert for her for his review.
122 00:14:32.870 ⇒ 00:14:34.899 Mustafa Raja: This is set up in a way that
123 00:14:37.367 ⇒ 00:14:50.352 Mustafa Raja: if we are gig radar we end up having having to chat with one of the clients. What ends up happening is we start
124 00:14:51.722 ⇒ 00:14:58.390 Mustafa Raja: a hubspot deal object regarding that client in our hubspot. So this is pretty much it.
125 00:14:58.570 ⇒ 00:15:00.580 Uttam Kumaran: Yeah, it was 6 to 10 over. Chuck.
126 00:15:00.730 ⇒ 00:15:01.440 Uttam Kumaran: Yeah.
127 00:15:01.440 ⇒ 00:15:08.339 Mustafa Raja: Yeah, for this. I’m waiting for alyssa May or Robert’s review on this.
128 00:15:09.290 ⇒ 00:15:13.120 Uttam Kumaran: Okay, cool?
129 00:15:14.180 ⇒ 00:15:14.920 Uttam Kumaran: Oh.
130 00:15:17.411 ⇒ 00:15:23.810 Uttam Kumaran: okay. And then, yeah, let’s talk about the items and testing. I moved some over to client review that I checked. So
131 00:15:23.950 ⇒ 00:15:26.010 Uttam Kumaran: I will go get feedback on those.
132 00:15:26.270 ⇒ 00:15:26.946 Uttam Kumaran: Okay?
133 00:15:28.380 ⇒ 00:15:31.429 Mustafa Raja: Yeah, for the what I have been testing. Yeah, yeah.
134 00:15:31.600 ⇒ 00:15:42.950 Mustafa Raja: yeah, for this sales. Follow up one. I’m going to schedule a call with Casey today. I have a few questions on how the email thing is working.
135 00:15:43.698 ⇒ 00:15:48.170 Mustafa Raja: It’s pretty much set up once I have some more context on those questions.
136 00:15:48.705 ⇒ 00:15:51.960 Mustafa Raja: It will pretty much be good to go into review.
137 00:15:54.780 ⇒ 00:15:55.500 Brainforge: Okay.
138 00:15:55.500 ⇒ 00:15:56.080 Uttam Kumaran: Okay.
139 00:15:56.570 ⇒ 00:15:58.378 Mustafa Raja: Yeah. And for the second one,
140 00:15:59.430 ⇒ 00:16:01.049 Mustafa Raja: can you open that up? Actually.
141 00:16:01.500 ⇒ 00:16:03.180 Uttam Kumaran: Yeah.
142 00:16:03.564 ⇒ 00:16:14.330 Mustafa Raja: Yeah, I see that. I see that you have attached your or linked your Google Calendar and Gmail. I’ll I’ll do some tests tests
143 00:16:14.781 ⇒ 00:16:17.129 Mustafa Raja: to see if the integration is working or not.
144 00:16:17.890 ⇒ 00:16:21.699 Uttam Kumaran: Yeah, if you, you can also log into Hubspot via my account.
145 00:16:21.820 ⇒ 00:16:22.530 Uttam Kumaran: If you need.
146 00:16:22.940 ⇒ 00:16:37.740 Mustafa Raja: Yeah, yeah, I figured I figured the other one the sales at Dreamforge doesn’t have an account linked for G Gmail and for Google Calendar. So I might connect mine just for the purpose of testing.
147 00:16:38.510 ⇒ 00:16:40.779 Mustafa Raja: And then and then I’ll remove it.
148 00:16:41.730 ⇒ 00:16:43.779 Uttam Kumaran: Okay, yeah, whatever you need to do.
149 00:16:44.160 ⇒ 00:16:44.800 Mustafa Raja: Yeah.
150 00:16:50.770 ⇒ 00:16:51.570 Luke Daque: Opportunity.
151 00:16:52.370 ⇒ 00:17:06.830 Brainforge: Yeah. So I already have, like a local python script for this. But for now. Yeah, it’s work. I’ve been testing this yesterday. It’s working locally for now. But so the next step is for me to have this on Dogster scheduled.
152 00:17:07.915 ⇒ 00:17:10.530 Brainforge: Planning to have it run daily.
153 00:17:11.710 ⇒ 00:17:17.608 Brainforge: and but for now the the meeting I’m deleting month old meetings, for now
154 00:17:18.964 ⇒ 00:17:19.929 Uttam Kumaran: For nice.
155 00:17:19.930 ⇒ 00:17:27.539 Brainforge: Do we continue? Do we continue with 7 days? Because I think it’s gonna delete a lot. And you know, I feel like 7 days is, too
156 00:17:29.483 ⇒ 00:17:33.600 Brainforge: what they call this. But yeah, yeah, it’s too soon.
157 00:17:33.600 ⇒ 00:17:38.040 Uttam Kumaran: Oh, this is month old. Meetings from drive right.
158 00:17:40.232 ⇒ 00:17:43.450 Brainforge: No, no, or from zoom, yeah, from zoom.
159 00:17:43.990 ⇒ 00:17:46.520 Uttam Kumaran: I mean you’re saying we should do.
160 00:17:47.330 ⇒ 00:17:48.210 Brainforge: Month old.
161 00:17:48.430 ⇒ 00:17:51.290 Brainforge: No, no month old. Because, like, yeah, the checkbox.
162 00:17:51.290 ⇒ 00:17:52.020 Uttam Kumaran: Oh, okay.
163 00:17:52.020 ⇒ 00:17:52.550 Brainforge: 7.
164 00:17:54.750 ⇒ 00:18:00.920 Uttam Kumaran: Okay, I’m fine with doing month old. If you want to even be safer, you could do 90 days whatever.
165 00:18:02.210 ⇒ 00:18:02.870 Brainforge: Okay.
166 00:18:04.720 ⇒ 00:18:11.170 Uttam Kumaran: I feel like, maybe do maybe. Oh, actually, could you leave a comment? There, let’s just be safe. Do 60 days.
167 00:18:13.110 ⇒ 00:18:13.750 Brainforge: Okay.
168 00:18:14.290 ⇒ 00:18:20.965 Uttam Kumaran: And then can you also increase the the thing? Not less than 1 min, but less than
169 00:18:23.180 ⇒ 00:18:24.570 Uttam Kumaran: 2 min.
170 00:18:26.680 ⇒ 00:18:27.120 Brainforge: Yeah.
171 00:18:28.170 ⇒ 00:18:33.609 Uttam Kumaran: And then, yeah, you can schedule. And then if you leave one more comment, Luke, you can schedule this to run
172 00:18:34.900 ⇒ 00:18:41.659 Uttam Kumaran: like once a week, or you wanna run this every day.
173 00:18:43.230 ⇒ 00:18:45.220 Brainforge: Yeah, I mean, I could do it once a day.
174 00:18:46.610 ⇒ 00:18:47.005 Uttam Kumaran: Okay.
175 00:18:47.680 ⇒ 00:18:48.719 Uttam Kumaran: She doesn’t support.
176 00:18:51.480 ⇒ 00:18:57.389 Brainforge: So, yeah, so the the meetings don’t pile up like the less than 2 min ones.
177 00:18:57.390 ⇒ 00:18:58.025 Uttam Kumaran: Okay.
178 00:19:07.630 ⇒ 00:19:08.440 Luke Daque: Yeah.
179 00:19:12.600 ⇒ 00:19:17.060 Luke Daque: Yeah, those were the things in testing the ones in progress are
180 00:19:17.720 ⇒ 00:19:21.530 Luke Daque: the migration front end integrations to express.
181 00:19:22.130 ⇒ 00:19:26.320 Luke Daque: But this is true for Miguel, so he’s not here at the moment.
182 00:19:27.931 ⇒ 00:19:32.690 Luke Daque: We have this lead list architecture diagram lately, Tom.
183 00:19:34.050 ⇒ 00:19:36.330 Uttam Kumaran: Yeah, that’s fine. We can leave this one.
184 00:19:39.430 ⇒ 00:19:43.530 Luke Daque: And this Hubspot ready for email.
185 00:19:44.080 ⇒ 00:19:53.739 Mustafa Raja: Yeah, the Hubspot is ready for email. I need to see if they give us integration for
186 00:19:55.492 ⇒ 00:19:59.380 Mustafa Raja: Linkedin Dms, and, Harry, it isn’t connected with.
187 00:19:59.930 ⇒ 00:20:02.460 Mustafa Raja: I’ve spotted them so we might need to connect.
188 00:20:02.879 ⇒ 00:20:07.070 Uttam Kumaran: Oh, should I? Oh, yeah, okay. I can connect it.
189 00:20:07.490 ⇒ 00:20:11.099 Mustafa Raja: Yeah, yeah, yeah. And and let me know if.
190 00:20:11.100 ⇒ 00:20:13.656 Uttam Kumaran: So the goal, the goal of connecting it is
191 00:20:14.330 ⇒ 00:20:20.249 Uttam Kumaran: so that we could. Once we create like lists and hubspot, we can immediately move them to hey, reach.
192 00:20:20.740 ⇒ 00:20:21.060 Mustafa Raja: Okay.
193 00:20:21.414 ⇒ 00:20:22.830 Uttam Kumaran: All the fuck up.
194 00:20:22.830 ⇒ 00:20:28.479 Mustafa Raja: Okay, yeah. Once you connected, let me know if I if I need to. Do some kind of integration or not.
195 00:20:30.420 ⇒ 00:20:32.360 Uttam Kumaran: Cool.
196 00:20:34.300 ⇒ 00:20:36.469 Luke Daque: Next is the Qa. Fixes.
197 00:20:36.470 ⇒ 00:20:45.060 Mustafa Raja: Yeah, for this. I might need to schedule a call or something with Miguel to see where this stands right now.
198 00:20:45.517 ⇒ 00:20:46.432 Uttam Kumaran: Or 2.
199 00:20:47.530 ⇒ 00:20:50.319 Mustafa Raja: If he has worked on it or not, and.
200 00:20:54.245 ⇒ 00:20:54.870 Uttam Kumaran: Hi.
201 00:20:54.870 ⇒ 00:21:01.600 Luke Daque: The last one is the spike for the slack analytics, and this is still also in progress, and doing the modeling
202 00:21:01.780 ⇒ 00:21:06.270 Luke Daque: at the moment to clean up the data that we have from the S. 3 bucket
203 00:21:06.620 ⇒ 00:21:10.820 Luke Daque: that way, we have the all the names instead of the Id since.
204 00:21:15.270 ⇒ 00:21:19.189 Luke Daque: Yeah, looks like that’s about it, and there’s still a couple in the to do here.
205 00:21:19.490 ⇒ 00:21:24.000 Uttam Kumaran: Yeah, wait. Can you? Can we talk about the stuff on the data platform side?
206 00:21:25.230 ⇒ 00:21:25.840 Luke Daque: Okay.
207 00:21:26.230 ⇒ 00:21:31.019 Uttam Kumaran: Well, I think you it’s actually should be. Yeah, if you if you actually go to that same thing, it’ll be there.
208 00:21:31.390 ⇒ 00:21:34.769 Uttam Kumaran: AI team, active tickets. Oh.
209 00:21:34.980 ⇒ 00:21:41.129 Uttam Kumaran: yeah. AI team active tickets and then scroll down. You should see. Do you see data platform.
210 00:21:41.130 ⇒ 00:21:41.530 Luke Daque: Course.
211 00:21:41.530 ⇒ 00:21:42.100 Uttam Kumaran: At all.
212 00:21:43.164 ⇒ 00:21:46.750 Uttam Kumaran: No, no, just scroll up. Do you see it at all like any of these teams?
213 00:21:47.370 ⇒ 00:21:48.020 Luke Daque: I don’t.
214 00:21:48.620 ⇒ 00:21:52.330 Luke Daque: Okay. So one thing you could do is you go to go to the top right here.
215 00:21:52.900 ⇒ 00:21:57.200 Uttam Kumaran: And sorry top left, and then click edit.
216 00:21:59.270 ⇒ 00:22:04.050 Uttam Kumaran: and then let’s go ahead and change. Add this team.
217 00:22:04.190 ⇒ 00:22:05.449 Uttam Kumaran: I’m just trying to work.
218 00:22:06.212 ⇒ 00:22:13.610 Uttam Kumaran: And then, okay, so then, and then. So I wonder where this stuff is? If it’s not in the current cycle.
219 00:22:13.850 ⇒ 00:22:17.390 Uttam Kumaran: So hold on. Let me see if I can move it into the current cycle.
220 00:22:27.626 ⇒ 00:22:40.189 Uttam Kumaran: Give me one second Chicago 4 years ago, or is that
221 00:22:48.390 ⇒ 00:22:59.830 Uttam Kumaran: pretty much? Every year they were doing all broken me, so there’s constantly fired.
222 00:23:02.900 ⇒ 00:23:08.140 Uttam Kumaran: and then like, for like a week or 2 after that training
223 00:23:08.320 ⇒ 00:23:11.599 Uttam Kumaran: night time for the train is about to come. I think it’s quite a good point.
224 00:23:12.070 ⇒ 00:23:13.130 Uttam Kumaran: Where is it?
225 00:23:15.908 ⇒ 00:23:17.959 Uttam Kumaran: Okay, hold on.
226 00:23:19.445 ⇒ 00:23:20.800 Uttam Kumaran: Yeah.
227 00:23:25.600 ⇒ 00:23:26.806 Uttam Kumaran: Yeah. So
228 00:23:36.470 ⇒ 00:23:37.270 Uttam Kumaran: okay.
229 00:23:42.572 ⇒ 00:23:43.719 Uttam Kumaran: in the basement.
230 00:23:52.730 ⇒ 00:23:58.925 Uttam Kumaran: Okay, okay. Now, it should populate.
231 00:24:00.800 ⇒ 00:24:02.590 Uttam Kumaran: Let’s see if you scroll down.
232 00:24:04.460 ⇒ 00:24:05.310 Luke Daque: There you go!
233 00:24:09.920 ⇒ 00:24:11.270 Uttam Kumaran: I told you a lot.
234 00:24:13.350 ⇒ 00:24:16.849 Luke Daque: Yeah, so looks like most of these are for me.
235 00:24:17.200 ⇒ 00:24:19.230 Uttam Kumaran: Did you end up on the call? Yes.
236 00:24:19.370 ⇒ 00:24:24.320 Luke Daque: Sorry. Say that again in the in the Pr reviews these are.
237 00:24:24.590 ⇒ 00:24:25.499 Uttam Kumaran: Told you this.
238 00:24:25.500 ⇒ 00:24:33.470 Luke Daque: Time to me, looks like, okay, yeah, let’s so all of these, I’m just gonna move these to.
239 00:24:34.150 ⇒ 00:24:34.700 Uttam Kumaran: Done.
240 00:24:45.580 ⇒ 00:25:02.549 Uttam Kumaran: Yeah, you can cycle that metapplane for urban stems. Initialization.
241 00:25:02.710 ⇒ 00:25:03.480 Uttam Kumaran: Yeah.
242 00:25:09.410 ⇒ 00:25:10.379 Uttam Kumaran: or the chairs.
243 00:25:10.380 ⇒ 00:25:13.480 Luke Daque: Are you looking at the to do.
244 00:25:13.480 ⇒ 00:25:18.450 Uttam Kumaran: Yeah, I’m just sort of yeah, actually, maybe, can I share really? Quick? I just wanna.
245 00:25:18.650 ⇒ 00:25:19.030 Luke Daque: Yeah, sure.
246 00:25:20.430 ⇒ 00:25:22.149 Uttam Kumaran: In a chair in the wood stream.
247 00:25:23.918 ⇒ 00:25:25.111 Uttam Kumaran: What a nice
248 00:25:32.191 ⇒ 00:25:34.100 Uttam Kumaran: can’t share your screen. Share
249 00:25:37.616 ⇒ 00:25:43.849 Uttam Kumaran: this one.
250 00:25:44.996 ⇒ 00:25:51.700 Uttam Kumaran: Honestly, my dad used to dress up in this like, crazy like, cigarette girl outfit.
251 00:25:52.546 ⇒ 00:26:06.163 Uttam Kumaran: Okay? So Meta plane. Okay? So I think, where was the one? So where’s the tickets on
252 00:26:08.092 ⇒ 00:26:14.217 Uttam Kumaran: on the clock if I oh, that’s on the AI side. Okay? So I would add,
253 00:26:15.720 ⇒ 00:26:22.829 Uttam Kumaran: oh, I’m sharing. Okay, cool. So I would realize I would try to add 2 things. So one is
254 00:26:22.990 ⇒ 00:26:24.156 Uttam Kumaran: getting this
255 00:26:25.289 ⇒ 00:26:35.709 Uttam Kumaran: this like windmill budget alert. So maybe you can take a look at this. I’m just gonna I’m gonna move some of these sort of out for now.
256 00:26:36.280 ⇒ 00:26:37.490 Uttam Kumaran: Oh.
257 00:26:43.790 ⇒ 00:26:49.400 Uttam Kumaran: and this one, I’m gonna move out, this one.
258 00:26:50.796 ⇒ 00:26:56.613 Uttam Kumaran: this one, this one, this one, this one.
259 00:26:59.940 ⇒ 00:27:03.789 Uttam Kumaran: this one, this one, this one? Oh.
260 00:27:05.800 ⇒ 00:27:07.610 Uttam Kumaran: so this one I’m gonna do.
261 00:27:18.620 ⇒ 00:27:20.720 Uttam Kumaran: Oh, Hi, how are you?
262 00:27:23.350 ⇒ 00:27:25.189 Uttam Kumaran: Oh, the one right though.
263 00:27:36.030 ⇒ 00:27:40.429 Uttam Kumaran: Okay, so I think these ones are all.
264 00:27:40.950 ⇒ 00:27:43.940 Brainforge: Important. I think the other one.
265 00:27:44.230 ⇒ 00:27:49.770 Uttam Kumaran: That this one would be also really great to do.
266 00:27:51.480 ⇒ 00:27:58.680 Uttam Kumaran: So, we can just consider these, so one is like, yeah, I’m getting these emails on these windmill budget alerts.
267 00:27:59.772 ⇒ 00:28:07.789 Uttam Kumaran: I was wondering if maybe you could take a look at that, because it says like, we’ve now exceeded like 20 bucks. I wonder like what what they’re using it for, like what’s going on there.
268 00:28:09.870 ⇒ 00:28:14.279 Luke Daque: Okay, do have the windmill access in one pass.
269 00:28:14.936 ⇒ 00:28:22.099 Uttam Kumaran: Yeah, I think you should have access to this via your gmail. But let me know. Leave a comment here. If you don’t have access
270 00:28:25.610 ⇒ 00:28:28.970 Uttam Kumaran: And then I think this one was just to confirm
271 00:28:29.480 ⇒ 00:28:36.887 Uttam Kumaran: like that, you’re aware of of how. So this one, I think you’re basically done right like what messages are in. S. 3.
272 00:28:39.110 ⇒ 00:28:49.550 Uttam Kumaran: Okay? And then my other. Ask for this is like, we have this like, sample
273 00:28:51.170 ⇒ 00:28:55.493 Uttam Kumaran: data deliverables sort of folder.
274 00:28:56.945 ⇒ 00:28:59.779 Uttam Kumaran: I was wondering if you could help
275 00:29:00.726 ⇒ 00:29:10.506 Uttam Kumaran: and let me. I’ll put this in here. Basically like the current file current file
276 00:29:12.270 ⇒ 00:29:15.090 Uttam Kumaran: as real customer data in it.
277 00:29:15.875 ⇒ 00:29:19.505 Uttam Kumaran: The goal for this file is
278 00:29:23.020 ⇒ 00:29:29.249 Uttam Kumaran: is to show customers what they will be getting from us.
279 00:29:29.680 ⇒ 00:29:34.670 Uttam Kumaran: wondering if we can fill it with synthetic data.
280 00:29:35.390 ⇒ 00:29:39.599 Uttam Kumaran: basically like wondering if you could just put fake data into like these.
281 00:29:40.610 ⇒ 00:29:45.189 Uttam Kumaran: because right now, they have like stuff related to Javi. And some of these aren’t filled out. So like.
282 00:29:46.160 ⇒ 00:29:49.340 Uttam Kumaran: I think you, if you could just fill it out with synthetic data.
283 00:29:50.440 ⇒ 00:29:51.050 Luke Daque: Gotcha.
284 00:29:51.050 ⇒ 00:29:52.490 Uttam Kumaran: Very nice. Yeah.
285 00:29:53.550 ⇒ 00:29:56.429 Luke Daque: Based on those requirements in the Google sheet, right?
286 00:29:56.430 ⇒ 00:29:57.150 Uttam Kumaran: Yes.
287 00:30:01.020 ⇒ 00:30:06.650 Luke Daque: And where? Where do we store? Where? Where would we store the synthetic data? Would it be like Csv files or something?
288 00:30:06.970 ⇒ 00:30:07.490 Luke Daque: We’re now.
289 00:30:07.490 ⇒ 00:30:12.589 Uttam Kumaran: No, no, no meaning like, actually, I just need fake data in the Google Sheet.
290 00:30:12.590 ⇒ 00:30:14.490 Luke Daque: And the Google sheet Gotcha.
291 00:30:14.490 ⇒ 00:30:19.959 Uttam Kumaran: Yeah, so that it looks. Basically, this is a mock of like what we’re delivering.
292 00:30:20.400 ⇒ 00:30:26.739 Uttam Kumaran: So I want to be able to click through this during sales calls, and basically like, Hey, this example of like what you will be receiving.
293 00:30:26.920 ⇒ 00:30:30.620 Uttam Kumaran: See? Right now, this is like, really, this is like, we sold this from Javi. So.
294 00:30:31.960 ⇒ 00:30:35.110 Luke Daque: Gotcha sounds good.
295 00:30:35.680 ⇒ 00:30:36.340 Uttam Kumaran: Okay?
296 00:30:36.670 ⇒ 00:30:40.242 Uttam Kumaran: And then, I also would like
297 00:30:41.740 ⇒ 00:30:46.599 Uttam Kumaran: us to start to to initialize a Meta plane for urban stems.
298 00:30:47.190 ⇒ 00:30:48.120 Uttam Kumaran: Okay?
299 00:30:48.300 ⇒ 00:30:52.067 Uttam Kumaran: So I’ve looped you into emails with the Meta plane team.
300 00:30:53.070 ⇒ 00:30:58.619 Uttam Kumaran: and hopefully, they’ll be giving us access soon. But yeah, I want to start getting like one or 2 of the top
301 00:31:00.010 ⇒ 00:31:01.970 Uttam Kumaran: tables there initialized.
302 00:31:02.430 ⇒ 00:31:09.399 Luke Daque: Sure, I think Annie already started creating the Meta plane for urban stems. But I’ll I’ll check with her.
303 00:31:10.710 ⇒ 00:31:18.239 Uttam Kumaran: Yeah, so we don’t. We don’t. We don’t want to create a new instance. We want to just create in that same one that’s existing with Eden.
304 00:31:19.120 ⇒ 00:31:20.160 Luke Daque: Right.
305 00:31:22.090 ⇒ 00:31:23.000 Uttam Kumaran: Okay.
306 00:31:24.140 ⇒ 00:31:27.880 Luke Daque: And that’s what we’re waiting from Meta plane to give us access on.
307 00:31:29.302 ⇒ 00:31:32.520 Uttam Kumaran: Yeah, I think they’re changing some account structure.
308 00:31:32.720 ⇒ 00:31:39.700 Luke Daque: Right now. But yes, okay, sounds good. I’ll take a look at the emails.
309 00:31:39.700 ⇒ 00:31:49.010 Uttam Kumaran: Yeah. So ideally, I would talk to Demotic or Kaya or Demotic. Get the one to 2 tables. We want to start tracking in Meta plane. And then you can just set up the basic monitors.
310 00:31:50.010 ⇒ 00:31:50.980 Luke Daque: Gotcha.
311 00:31:51.550 ⇒ 00:31:52.210 Uttam Kumaran: Yeah.
312 00:31:56.990 ⇒ 00:31:57.710 Uttam Kumaran: Okay.
313 00:32:00.840 ⇒ 00:32:05.139 Uttam Kumaran: okay, cool. And then I assume, like, how’s stuff going with the slack analytics work?
314 00:32:05.810 ⇒ 00:32:13.369 Luke Daque: Yeah, it’s still in progress. I’m doing the data modeling so that we can get the clean data basically.
315 00:32:13.974 ⇒ 00:32:16.619 Luke Daque: And then yeah, should be good once it’s done.
316 00:32:18.070 ⇒ 00:32:18.650 Uttam Kumaran: Okay.
317 00:32:23.510 ⇒ 00:32:25.589 Luke Daque: Yeah, I think that’s about it.
318 00:32:25.830 ⇒ 00:32:27.120 Luke Daque: Anything else.
319 00:32:28.658 ⇒ 00:32:35.859 Uttam Kumaran: I think that’s it. Yeah, I think the only other piece the only other piece
320 00:32:37.180 ⇒ 00:32:42.309 Uttam Kumaran: to mention is the interns are gonna start working on something related to that slack analytics.
321 00:32:43.170 ⇒ 00:32:47.760 Uttam Kumaran: And they’re gonna be working on slack analytics, linear analytics calendar.
322 00:32:47.880 ⇒ 00:32:53.540 Uttam Kumaran: And so, Ryan, I think probably as like I’ll I’m gonna be meeting with them to talk a little bit about the project.
323 00:32:53.870 ⇒ 00:32:57.970 Uttam Kumaran: Of course they’re gonna move a lot slower. So I wanted you to be looped in there.
324 00:32:58.080 ⇒ 00:33:03.600 Uttam Kumaran: But I’ll let you know sort of what tasks I’m handing to them. They’re also gonna be working on marketing related analytics.
325 00:33:04.610 ⇒ 00:33:06.020 Luke Daque: Sounds good.
326 00:33:08.660 ⇒ 00:33:10.450 Uttam Kumaran: Okay, perfect.
327 00:33:10.780 ⇒ 00:33:13.570 Uttam Kumaran: Alright, thank you. Guys. Slack me if you need anything.
328 00:33:14.150 ⇒ 00:33:14.570 Brainforge: Thank you.
329 00:33:14.570 ⇒ 00:33:15.340 Luke Daque: Thanks. Everyone.