Meeting Title: AI Team Retro Date: 2025-07-31 Meeting participants: Uttam Kumaran, Sam Roberts, Mustafa Raja, Casie Aviles, Miguel de Veyra


WEBVTT

1 00:00:29.860 00:00:30.780 Sam Roberts: Hey!

2 00:00:34.540 00:00:35.700 Uttam Kumaran: Hello!

3 00:00:38.210 00:00:38.930 Sam Roberts: How’s it going.

4 00:00:39.900 00:00:41.620 Uttam Kumaran: Good! How are you?

5 00:00:41.950 00:00:43.070 Sam Roberts: Doing all right.

6 00:00:43.790 00:00:46.940 Uttam Kumaran: So you start early or like, what’s your schedule these days?

7 00:00:46.940 00:00:50.420 Sam Roberts: Yeah. So I’m I’m usually up pretty early in the mornings hour early.

8 00:00:51.110 00:00:53.059 Sam Roberts: like I wake up at like 5 ish.

9 00:00:53.310 00:00:55.240 Uttam Kumaran: Wow! Let’s go. That’s.

10 00:00:55.240 00:01:02.099 Sam Roberts: Yeah, it’s not. I mean, it’s it’s it’s mostly because I don’t sleep great to begin with. So I just kind of get up so it’s not like you know.

11 00:01:02.770 00:01:07.349 Sam Roberts: hustle and grinding as hard as I am. I’m just like, well, I’m up. So I just get going.

12 00:01:08.150 00:01:14.470 Sam Roberts: But yeah, it’s it’s not bad. Mornings are nice for me. I’m not a not a night owl anymore.

13 00:01:17.750 00:01:19.919 Sam Roberts: but it’s good. It’s good.

14 00:01:20.240 00:01:21.849 Uttam Kumaran: Nice. That’s awesome.

15 00:01:21.850 00:01:22.510 Sam Roberts: Yeah.

16 00:01:22.940 00:01:24.930 Sam Roberts: Good way to start the day most mornings.

17 00:01:25.220 00:01:26.030 Uttam Kumaran: Yeah.

18 00:01:29.660 00:01:36.270 Sam Roberts: But definitely puts me on a, you know, slightly different schedule than some people so like. I wasn’t sure, with the time, difference and stuff.

19 00:01:38.130 00:01:39.520 Sam Roberts: how it all works out!

20 00:01:42.260 00:01:43.110 Sam Roberts: Cool.

21 00:01:51.320 00:01:57.219 Uttam Kumaran: Great let’s get started. Does anyone want to run? Maybe, Casey, you wanna run, stand up.

22 00:01:59.990 00:02:01.670 Casie Aviles: Hey, yeah, sure.

23 00:02:02.240 00:02:03.170 Uttam Kumaran: Anxious.

24 00:02:09.330 00:02:11.400 Casie Aviles: Yeah, hold on. Let me just share.

25 00:02:18.230 00:02:19.619 Miguel de Veyra: Hey? Everyone! Good morning!

26 00:02:27.140 00:02:28.100 Uttam Kumaran: Hello!

27 00:02:46.480 00:02:50.429 Casie Aviles: Okay? So I I don’t really have

28 00:02:50.620 00:02:53.189 Casie Aviles: a view to the other clients, I think.

29 00:02:55.210 00:02:58.309 Casie Aviles: what’s that default and interlude? I think, yeah.

30 00:02:59.540 00:03:02.869 Uttam Kumaran: Yeah. Can you see them on here or no?

31 00:03:05.180 00:03:08.840 Casie Aviles: Go to the oh, yeah.

32 00:03:09.410 00:03:10.050 Uttam Kumaran: Yeah, I can.

33 00:03:10.050 00:03:10.580 Casie Aviles: Okay.

34 00:03:11.560 00:03:15.900 Uttam Kumaran: What? The heck? Okay, yeah, maybe.

35 00:03:16.130 00:03:18.920 Uttam Kumaran: Let’s just start with what you can see. And then we can go from there.

36 00:03:19.770 00:03:27.039 Casie Aviles: Okay, sure, I’ll just we don’t have anything for both parts. Right? Oh, this is on pause.

37 00:03:27.040 00:03:27.760 Uttam Kumaran: Yes.

38 00:03:28.510 00:03:34.459 Casie Aviles: Okay, that’s yeah. I guess we can just go with the AI team.

39 00:03:36.390 00:03:40.969 Casie Aviles: Alright, so, or, yeah, these are in review. So

40 00:03:44.740 00:03:45.370 Miguel de Veyra: The Ambi.

41 00:03:45.420 00:03:47.169 Casie Aviles: There we go. Okay, yeah, sure.

42 00:03:47.170 00:03:54.150 Miguel de Veyra: Ambient agent with them I moved to review. It’s scheduled to run right now. It’s on midnight, but let me know if I need to adjust the time.

43 00:03:56.160 00:04:01.139 Uttam Kumaran: Oh, yeah, I mean, this is something that like I I guess my point was that it just runs all the time.

44 00:04:02.600 00:04:06.820 Miguel de Veyra: Like, yeah, we can do that like every what? 2, 3 h.

45 00:04:06.820 00:04:14.589 Uttam Kumaran: Well like, can we? Can we? Can you? Can we give like a brief demo? So everyone kind of gets what it what it is, and like how it’s built. Because

46 00:04:15.170 00:04:20.709 Uttam Kumaran: if this is something that I think is gonna be pretty game changing for the company. So I I just want to.

47 00:04:21.380 00:04:22.260 Miguel de Veyra: Okay. Yeah. Sure.

48 00:04:22.330 00:04:23.250 Uttam Kumaran: Yeah.

49 00:04:24.940 00:04:27.199 Miguel de Veyra: Okay, sure. Let me share my screen.

50 00:04:33.430 00:04:34.730 Miguel de Veyra: Share screen.

51 00:04:37.150 00:04:38.770 Miguel de Veyra: Yeah, can everyone see it?

52 00:04:40.060 00:04:40.760 Uttam Kumaran: Yes.

53 00:04:42.210 00:04:46.170 Miguel de Veyra: Okay, yeah. So basically, pretty standard triggers.

54 00:04:46.460 00:04:50.760 Miguel de Veyra: 1st of all, and then they basically. Here’s the array of tables

55 00:04:51.316 00:04:56.869 Miguel de Veyra: we removed. I think, 2. I forgot what I removed, but there was 8. Now there’s 6,

56 00:04:57.180 00:05:01.850 Miguel de Veyra: and then basically split it out. And then these are just

57 00:05:02.290 00:05:06.330 Miguel de Veyra: I was just mapping this for some reason, because I can’t access it. And then.

58 00:05:06.450 00:05:15.110 Miguel de Veyra: yeah, it’s basically, you know, loop over. And then the names here are actually names in super base, which then gets passed here.

59 00:05:15.970 00:05:18.689 Miguel de Veyra: So, for example, I do this.

60 00:05:20.670 00:05:23.440 Miguel de Veyra: it’s just gonna loop for each and every client.

61 00:05:24.280 00:05:29.510 Miguel de Veyra: And then, yeah, basically false, false just means, you know.

62 00:05:29.630 00:05:35.239 Miguel de Veyra: every message has been responded to. And then, if there’s something like this and then sends here

63 00:05:39.810 00:05:43.970 Miguel de Veyra: this one’s, I’m still trying to yeah, fix.

64 00:05:43.970 00:05:49.130 Uttam Kumaran: Where maybe, like I, I was kind of like asking. Maybe, Sam, we kind of have some like slack

65 00:05:49.360 00:05:54.910 Uttam Kumaran: ux or like slack readability.

66 00:05:54.910 00:05:55.760 Sam Roberts: Yeah.

67 00:05:55.760 00:05:56.300 Uttam Kumaran: It’s

68 00:05:57.171 00:06:04.129 Uttam Kumaran: like, can we? Can we go to Miguel like my thread and the AI team on on the reminder agent?

69 00:06:07.210 00:06:09.270 Uttam Kumaran: Yeah. So if we go to.

70 00:06:10.080 00:06:15.784 Uttam Kumaran: So one of the things that I suggested was, basically

71 00:06:18.050 00:06:18.830 Miguel de Veyra: Go and scroll up.

72 00:06:18.830 00:06:27.939 Uttam Kumaran: We we have like, actually, this is fine, like, we could focus on this like, there’s basically like a block kit, like or or like a block per

73 00:06:28.260 00:06:32.069 Uttam Kumaran: channel, which is like this client has 5 open items.

74 00:06:32.190 00:06:36.150 Uttam Kumaran: These are the 5 slack messages. Here’s like.

75 00:06:36.630 00:06:41.279 Uttam Kumaran: basically I wanna look at like who sent it the link to it when it was sent, and

76 00:06:41.710 00:06:49.650 Uttam Kumaran: kind of like a an urgency like someone literally asked like, Can someone help me do this. We hasn’t been answered.

77 00:06:50.210 00:06:52.818 Uttam Kumaran: Okay, seems urgent, all right.

78 00:06:53.810 00:06:58.810 Uttam Kumaran: and then probably some formatting needs for the for the time

79 00:06:59.430 00:07:06.789 Uttam Kumaran: where this is gonna go and where this is gonna end up going is, we’ll actually eventually use the AI to actually draft

80 00:07:07.080 00:07:10.779 Uttam Kumaran: a message that it can send if it knows the answer

81 00:07:11.701 00:07:15.979 Uttam Kumaran: or allow easily. People like project managers.

82 00:07:16.250 00:07:21.210 Uttam Kumaran: Tech leads to use this to find those messages and then

83 00:07:21.600 00:07:25.379 Uttam Kumaran: quickly draft an email draft, a a message to reply

84 00:07:25.540 00:07:36.659 Uttam Kumaran: right? Because part of this is like slack is very hard to do any sort of prioritization. There’s actually no prioritization. You only basically go off of on reds.

85 00:07:36.820 00:07:41.810 Uttam Kumaran: So this is kind of adding a little bit of that, you know, to this

86 00:07:42.000 00:07:49.910 Uttam Kumaran: process, and we rely entirely on slack. So want to make it easier for us to find out what’s been dropped during the day.

87 00:07:50.040 00:07:54.990 Uttam Kumaran: so that we can go back and address.

88 00:07:54.990 00:07:55.620 Miguel de Veyra: Yes.

89 00:07:59.740 00:08:10.910 Miguel de Veyra: yeah, actually, this a bit of like, for example, you know, if there’s no messages, instead of just sending blank, which is in the instructions already. Sometimes it sends this.

90 00:08:12.020 00:08:13.630 Miguel de Veyra: So yeah, I’m still.

91 00:08:13.630 00:08:14.240 Sam Roberts: And.

92 00:08:14.540 00:08:21.489 Miguel de Veyra: Figuring that out. But yeah, basically, everything’s there already, that if it’s empty, just null everything.

93 00:08:22.460 00:08:28.180 Miguel de Veyra: And then I also provided the channels channel ids.

94 00:08:30.260 00:08:31.010 Uttam Kumaran: Yeah.

95 00:08:31.410 00:08:37.690 Miguel de Veyra: But yeah, this is, you know, pretty much. There, I’m just trying to figure out some other stuff here.

96 00:08:37.690 00:08:41.960 Uttam Kumaran: Yeah, but I would. I would say, this is not like there.

97 00:08:42.260 00:08:45.770 Uttam Kumaran: like I don’t think what’s in there is usable right now.

98 00:08:46.458 00:08:49.339 Miguel de Veyra: Yeah, the I mean this part, the new ones. Yep.

99 00:08:52.570 00:08:56.519 Miguel de Veyra: Are we? Gonna are we? Gonna put the same all the stuff here, or cause.

100 00:08:57.140 00:09:08.069 Uttam Kumaran: Well, I mean, like I mean, like, go if you like, the I. For, to be honest, I don’t think what’s in reminder suggestions is usable by anyone. I I don’t know how to use this looking at it right

101 00:09:10.070 00:09:12.059 Uttam Kumaran: like, what can I do with this? Now?

102 00:09:13.740 00:09:17.750 Uttam Kumaran: I mean one. It looks like these are hallucinations, and then

103 00:09:20.300 00:09:28.090 Uttam Kumaran: it looks like we don’t have like even the one that’s coming from amber like there’s not a client name. There’s not a link to it like I don’t think this is done.

104 00:09:30.920 00:09:31.760 Miguel de Veyra: Okay. Yeah.

105 00:09:34.500 00:09:39.650 Uttam Kumaran: I mean, you tell me like I I don’t. Can you use this to go find out what messages in the AI team were missed.

106 00:09:44.390 00:09:46.650 Miguel de Veyra: For now. No, I don’t think so.

107 00:09:48.010 00:09:50.980 Uttam Kumaran: Okay? So then, like, that’s what I want to have a plan on like.

108 00:09:51.170 00:09:54.339 Uttam Kumaran: did you have a look at those suggestions that I had, and like.

109 00:09:55.660 00:09:58.939 Uttam Kumaran: or which ones are we working on? Can we ticket those out.

110 00:10:00.280 00:10:07.200 Miguel de Veyra: Yeah, I mean the dates. I’ve already added the prioritization. But yeah, I I think I need to add more details on.

111 00:10:07.590 00:10:09.449 Miguel de Veyra: especially like this 2 parts.

112 00:10:09.970 00:10:14.030 Miguel de Veyra: And then, yeah, this once, I need to fix the client.

113 00:10:14.030 00:10:17.609 Uttam Kumaran: So can we go back to the thread I had like with the suggestions.

114 00:10:19.640 00:10:24.740 Uttam Kumaran: So yeah, let’s look if we just look at this at the top. So if you just go to the top of this.

115 00:10:25.190 00:10:29.270 Uttam Kumaran: so a couple of things that I I wanted to make clear one is like.

116 00:10:29.690 00:10:36.120 Uttam Kumaran: it’s very hard to read. It’s like, basically unreadable. So we need to have like a timestamp that’s fixed.

117 00:10:36.390 00:10:38.460 Uttam Kumaran: We also need to have, like

118 00:10:38.820 00:10:44.460 Uttam Kumaran: some level of like who sent it and the link like

119 00:10:45.260 00:10:48.799 Uttam Kumaran: it’s this is not gonna be done at all until these are done

120 00:10:49.040 00:10:53.069 Uttam Kumaran: right. Second, I would like to have

121 00:10:53.560 00:10:58.940 Uttam Kumaran: this run more actively like this should run several times a day.

122 00:10:59.370 00:11:03.860 Uttam Kumaran: or like so cause so that way we can give more feedback.

123 00:11:06.140 00:11:08.890 Uttam Kumaran: And I guess my other question is like.

124 00:11:09.250 00:11:17.390 Uttam Kumaran: is it rerunning over the same data every time? Like, if something hasn’t been some something hasn’t been

125 00:11:17.980 00:11:19.730 Uttam Kumaran: addressed, it’ll just come back.

126 00:11:20.730 00:11:26.430 Miguel de Veyra: Yes, cause it’s running on the super base slap messages that’s running every 4 h.

127 00:11:26.900 00:11:30.729 Uttam Kumaran: Yeah, I mean, the other suggestion I had is like, I I

128 00:11:30.860 00:11:35.320 Uttam Kumaran: like, I don’t like seeing that the slack ids are hard coded there

129 00:11:35.580 00:11:38.180 Uttam Kumaran: like? Can we move away from that somehow.

130 00:11:39.922 00:11:41.450 Miguel de Veyra: You mean over here.

131 00:11:41.860 00:11:45.619 Uttam Kumaran: Yeah, like in some, yeah, like this.

132 00:11:45.620 00:11:46.180 Miguel de Veyra: Luck Channel.

133 00:11:46.180 00:11:54.709 Uttam Kumaran: Really like, not great, right like. Why this we should be pulling from some database.

134 00:11:57.350 00:12:00.319 Miguel de Veyra: Okay, yeah, well, I can move it to super base. Then.

135 00:12:01.250 00:12:06.789 Uttam Kumaran: Because, like this is again like, if like, let’s say, we add a new client. We’re just talking about this problem right? Like we

136 00:12:06.890 00:12:11.020 Uttam Kumaran: when we’re adding new clients like, we need something more dynamic.

137 00:12:11.160 00:12:14.680 Uttam Kumaran: although otherwise there’s gonna be a hundred places where you have to go update.

138 00:12:15.950 00:12:16.530 Miguel de Veyra: Yeah.

139 00:12:18.410 00:12:18.760 Uttam Kumaran: So.

140 00:12:18.760 00:12:25.219 Miguel de Veyra: I think we have, I think, in platform. We have the clients there in super big, so I’ll probably pull there

141 00:12:25.650 00:12:28.020 Miguel de Veyra: like the slack Channel ids.

142 00:12:30.810 00:12:36.260 Uttam Kumaran: Yeah. So I mean, I would, I would suggest, like, yeah, either meeting with the team or

143 00:12:36.870 00:12:43.000 Uttam Kumaran: yeah, like, I, I would like, I don’t. I don’t consider. I want, I think. Can we take it out? All the things that we kind of discuss here? And

144 00:12:43.400 00:12:48.690 Uttam Kumaran: yeah, I don’t consider this to get done at all, because it’s not like it’s not ready yet.

145 00:12:49.460 00:12:50.170 Miguel de Veyra: Okay. Okay.

146 00:12:50.850 00:12:54.339 Uttam Kumaran: And then can I get like a little bit of an estimation on like when.

147 00:12:54.650 00:12:56.830 Uttam Kumaran: like, we can start to share this broadly.

148 00:12:58.280 00:13:02.250 Miguel de Veyra: I think this one’s until

149 00:13:02.360 00:13:06.449 Miguel de Veyra: grouping similar reminders no, probably one. Before I can finish the day.

150 00:13:06.950 00:13:11.830 Uttam Kumaran: Okay, yeah, that would be great.

151 00:13:12.500 00:13:18.629 Miguel de Veyra: And then for formatting. I’ll probably communicate with Sam or you, if you have time on how we want to display it.

152 00:13:18.770 00:13:21.360 Uttam Kumaran: Yeah, I would. I would chat with Sam.

153 00:13:21.360 00:13:21.950 Sam Roberts: That’s great!

154 00:13:25.310 00:13:27.729 Uttam Kumaran: Perfect. Alright, we can keep going.

155 00:13:28.170 00:13:28.770 Miguel de Veyra: Okay.

156 00:13:30.150 00:13:32.120 Casie Aviles: Alright, Sharon, and

157 00:13:39.120 00:13:43.270 Casie Aviles: okay. So I’ll move this back to in progress.

158 00:13:45.110 00:13:45.950 Casie Aviles: Oh, wow!

159 00:13:47.080 00:13:51.010 Casie Aviles: Oh, cool, sweet

160 00:13:55.010 00:13:55.860 Casie Aviles: wow!

161 00:13:59.907 00:14:01.929 Casie Aviles: This should be done right, Miko.

162 00:14:04.420 00:14:05.189 Miguel de Veyra: I think would.

163 00:14:05.190 00:14:06.959 Casie Aviles: Are we still waiting for a review.

164 00:14:07.130 00:14:11.669 Uttam Kumaran: Did amber. Yeah, did it? Did you have a chance to meet with amber and get feedback.

165 00:14:12.240 00:14:14.669 Miguel de Veyra: No, no, not yet. I can meet her today.

166 00:14:14.670 00:14:18.290 Uttam Kumaran: Yeah, can you please do that like this has been sitting for so long? Dude.

167 00:14:19.080 00:14:19.580 Miguel de Veyra: Okay.

168 00:14:19.580 00:14:26.530 Uttam Kumaran: I’ve asked like several times for this to like. It’s not. I’m not the judge on this one like you have to talk to amber.

169 00:14:26.630 00:14:30.129 Uttam Kumaran: So you just have to find 15 min and get feedback from her.

170 00:14:31.720 00:14:33.339 Miguel de Veyra: Okay, sure. I message her now.

171 00:14:34.590 00:14:37.199 Uttam Kumaran: She’s also very busy. So like

172 00:14:38.043 00:14:42.059 Uttam Kumaran: like, we just have to find a way to get this from her. I’m not the blocker here.

173 00:14:43.680 00:14:44.970 Miguel de Veyra: Okay, sent it.

174 00:14:57.280 00:15:02.809 Casie Aviles: Okay, there’s this ticket fixing, adding glance. Bug.

175 00:15:05.280 00:15:12.979 Uttam Kumaran: I left a comment here. I I don’t know what this is really related to and what the code change that was. So I just know what to review here.

176 00:15:16.100 00:15:17.279 Miguel de Veyra: Oh, yeah. The pr.

177 00:15:20.300 00:15:22.390 Casie Aviles: Yeah, I’ll paste this here in a bit.

178 00:15:24.220 00:15:29.460 Uttam Kumaran: This has been. Oh, this this has been! Oh, we discussed this. The last 2 stand up so I don’t really know what to do

179 00:15:30.650 00:15:32.090 Uttam Kumaran: at this point like.

180 00:15:32.460 00:15:38.260 Uttam Kumaran: I just can you, can we? Can we look at this right now? Or do you have like a piece of code? We can just link right now, cause

181 00:15:38.570 00:15:40.830 Uttam Kumaran: I can’t like this is completely blocked.

182 00:15:41.710 00:15:43.540 Uttam Kumaran: I don’t know what there is to review.

183 00:15:44.050 00:15:48.299 Miguel de Veyra: Okay, okay, wait. I’m just logging into her to go to Github.

184 00:16:07.390 00:16:10.580 Uttam Kumaran: Okay, we can keep going. Casey, come back at the end for this.

185 00:16:16.499 00:16:19.690 Uttam Kumaran: For the deals. Yeah, I let’s move. Let’s merge this.

186 00:16:20.630 00:16:25.129 Uttam Kumaran: this the I merge the back end, and then I can check the review. App. Mustafa should be ready.

187 00:16:25.190 00:16:37.489 Mustafa Raja: Yeah. Yeah. Okay. I I saw that you merged the pr, but I let me let me deploy the new back end, also on Heroku.

188 00:16:37.870 00:16:39.980 Mustafa Raja: Yeah. And then I like that.

189 00:16:40.500 00:16:44.550 Uttam Kumaran: Yeah, my only point of feedback here. And and Sam, maybe it’s a question for you like

190 00:16:44.950 00:16:55.410 Uttam Kumaran: for this, like we weren’t we? We were not able to like. See the entire app like for a review app, where we have to like, deploy the back end first, st and then

191 00:16:55.660 00:16:59.170 Uttam Kumaran: kind of see the front end, so I don’t know if you have any like guidelines or

192 00:16:59.410 00:17:02.859 Uttam Kumaran: thoughts on like how we can improve that process.

193 00:17:04.060 00:17:12.163 Sam Roberts: Yeah, I noticed some of that. I was a little curious about why things were different like that. I hadn’t really dug in to see, like the the reasoning behind it. Yet

194 00:17:13.810 00:17:35.369 Mustafa Raja: Yeah. So what happens is we do not have a review app for the back end. So what we need to do is we need to have a review app. And then for the base URL, the review the for the base. Sorry for front end review. App the base URL should be the back end. Review. App URL.

195 00:17:38.820 00:17:39.440 Sam Roberts: Okay.

196 00:17:39.890 00:17:42.979 Mustafa Raja: Yeah. And that is how this is going to work. I feel

197 00:17:45.600 00:17:51.819 Mustafa Raja: feel free to look into it. In heroku. I feel I know. I think you have the access to it now.

198 00:17:51.820 00:17:53.390 Sam Roberts: Yeah, I think I do now, too.

199 00:17:53.520 00:17:58.709 Mustafa Raja: Yeah, yeah, we have the review apps open for the front end, but not for the back end.

200 00:18:00.420 00:18:04.504 Sam Roberts: Okay, yeah, I’ll I’ll dig in a little bit and try to understand it and see what I can.

201 00:18:04.980 00:18:05.660 Mustafa Raja: Okay.

202 00:18:08.820 00:18:13.270 Casie Aviles: Okay, I’ll keep this in internal review, then.

203 00:18:17.923 00:18:22.890 Casie Aviles: Okay, so I have this ticket. I’ll ask Rico, yeah.

204 00:18:23.120 00:18:26.679 Uttam Kumaran: Cool. To also verify that I had to also review this.

205 00:18:27.310 00:18:31.280 Uttam Kumaran: Yeah, they give. If they give you the thumbs up, then we can close this.

206 00:18:32.520 00:18:39.239 Casie Aviles: Yeah, okay, so, but basically, just to give some context, it, you know it. Triggers space from any 10.

207 00:18:39.630 00:18:44.169 Casie Aviles: Whenever linear ask is submitted, I think linear ask should be fine.

208 00:18:44.310 00:18:47.419 Casie Aviles: like in terms of the question which should be used.

209 00:18:48.652 00:18:54.510 Casie Aviles: I think it’s convenient, and we can use the AI step to get the data there.

210 00:18:54.970 00:18:57.089 Casie Aviles: So I think it works fine for now.

211 00:18:59.064 00:19:05.869 Casie Aviles: Yeah. And then I was able to use the operating Api to insert time offs as

212 00:19:06.470 00:19:09.940 Casie Aviles: time entries there. So yeah, I’ll ask Rico.

213 00:19:15.550 00:19:16.330 Casie Aviles: okay.

214 00:19:16.660 00:19:17.380 Casie Aviles: Wrong.

215 00:19:18.230 00:19:23.769 Casie Aviles: Okay. For this. Pr, is this the same ticket for.

216 00:19:24.170 00:19:40.609 Mustafa Raja: Yeah, these 2 are similar. So yesterday I did a little demo for this deals thing in the stand up and had some minute suggestions and that should be implemented. And I implemented those in this

217 00:19:41.070 00:19:47.259 Mustafa Raja: in this. Pr, yeah, so these 2 prs that we are discussing are related to each other.

218 00:19:48.020 00:19:48.650 Casie Aviles: Okay.

219 00:19:58.788 00:20:02.189 Casie Aviles: Okay. So we have the client hubs as well.

220 00:20:04.040 00:20:06.090 Casie Aviles: These are still in progress. Miga.

221 00:20:07.446 00:20:11.450 Miguel de Veyra: Yep, yep, I had to put that back since I’m working on the Ambient one.

222 00:20:12.480 00:20:16.400 Uttam Kumaran: Yeah, maybe let’s just do this to to do if we’re not working on these.

223 00:20:21.550 00:20:22.810 Casie Aviles: Yeah, very cool.

224 00:20:31.320 00:20:35.990 Casie Aviles: Alright. Okay. So for my ticket here for the spike.

225 00:20:36.620 00:20:41.289 Casie Aviles: I was just testing out mail research and Algolia.

226 00:20:41.900 00:20:47.060 Casie Aviles: And yeah, I actually have it here.

227 00:20:48.060 00:20:49.060 Casie Aviles: And I,

228 00:20:49.640 00:20:56.210 Casie Aviles: yeah, I think this works fine, like the AI search, I was able to use our deployment

229 00:20:56.850 00:21:04.010 Casie Aviles: on azure like we could do like a keyword search here. But that’s very limited.

230 00:21:04.300 00:21:08.589 Casie Aviles: So for example, here for real dashboard, it’s not gonna show up, because

231 00:21:08.730 00:21:12.179 Casie Aviles: real is often misspelled, as you know, kind of like real or.

232 00:21:12.180 00:21:13.290 Uttam Kumaran: Oh!

233 00:21:13.740 00:21:19.379 Casie Aviles: Yeah. And but if we do like a semantic search, it’s going to show up at least type.

234 00:21:19.930 00:21:21.690 Casie Aviles: There are search results.

235 00:21:21.690 00:21:23.886 Uttam Kumaran: But can you search for something like

236 00:21:25.980 00:21:28.204 Uttam Kumaran: Can you search for?

237 00:21:30.670 00:21:33.040 Uttam Kumaran: You know, what’s a good example like.

238 00:21:37.520 00:21:42.209 Uttam Kumaran: maybe, is this across all. What what are these across this, across all of our transcripts?

239 00:21:43.031 00:21:52.379 Casie Aviles: No, actually, this is, there’s like a limit. For now, since I’m just testing out the free version. So these are, these are like the the most recent meetings.

240 00:21:52.680 00:21:59.710 Uttam Kumaran: Oh, okay, okay, just search for like like, linear.

241 00:22:00.640 00:22:01.230 Casie Aviles: Okay.

242 00:22:05.810 00:22:09.279 Casie Aviles: yeah, it was. There’s a lot of results here. But.

243 00:22:09.280 00:22:10.380 Uttam Kumaran: Hmm!

244 00:22:12.900 00:22:15.449 Uttam Kumaran: Can you return the entire transcript?

245 00:22:15.670 00:22:23.029 Uttam Kumaran: And does it return like where in the transcript it it is or it’s not. It’s not really like a specific keyword search.

246 00:22:25.830 00:22:26.940 Casie Aviles: Sorry. Sorry. What?

247 00:22:27.110 00:22:28.572 Casie Aviles: What? What was

248 00:22:29.410 00:22:30.900 Casie Aviles: What was the question again.

249 00:22:31.070 00:22:36.299 Uttam Kumaran: Like, is it? Is this a keyword search, or is it kind of like it’s gonna return the the whole meeting.

250 00:22:37.440 00:22:42.669 Casie Aviles: I think it’s gonna return like this, this, like, it’s like an object here. So it’s gonna return this

251 00:22:42.930 00:22:46.199 Casie Aviles: thing. It’s searching from the content because

252 00:22:46.780 00:22:50.189 Casie Aviles: I use like, I added, like an embedder. So it’s embedding it.

253 00:22:50.650 00:22:51.830 Uttam Kumaran: Oh, okay.

254 00:22:51.830 00:22:52.420 Casie Aviles: Yeah.

255 00:22:53.860 00:22:57.180 Sam Roberts: Do we need to chunk that or something? So it’s not just the whole meeting.

256 00:22:58.710 00:23:03.260 Casie Aviles: Oh, that one! I’m not sure if it if mainly search chunks this first.st

257 00:23:04.070 00:23:09.349 Casie Aviles: Yeah, I just plugged it in. And it was, there’s like just a loading thing, and.

258 00:23:09.350 00:23:10.060 Sam Roberts: Got it. Okay.

259 00:23:10.060 00:23:14.120 Casie Aviles: Yeah, then, look, yeah, look deeper into that.

260 00:23:17.160 00:23:20.369 Casie Aviles: But yeah, this is how it works right now.

261 00:23:21.460 00:23:25.409 Casie Aviles: I think for Algolia. I tried it. But I think, but there’s like a

262 00:23:25.880 00:23:30.700 Casie Aviles: like a limit on on the content that we’re like vectorizing.

263 00:23:30.910 00:23:34.680 Casie Aviles: So I wasn’t able to get this there?

264 00:23:37.284 00:23:41.900 Casie Aviles: Yeah. So I I’m I was thinking of maybe adding this to

265 00:23:42.420 00:23:47.719 Casie Aviles: the app, even just locally, just to see if we could add it? Or

266 00:23:48.420 00:23:54.900 Casie Aviles: should I add, should should I proceed with that for this ticket, or this is

267 00:23:55.880 00:24:08.210 Uttam Kumaran: Yeah, I mean, I would. I would like us to consider like other tool like for us. Now that you know a little bit like maybe we can use. You could continue to research and see, like what other tools are out there for. This type of work.

268 00:24:08.750 00:24:12.830 Uttam Kumaran: Mellow search is something that a wave suggested. But

269 00:24:13.450 00:24:19.650 Uttam Kumaran: like, I don’t want us to just pick it just because it like it showed some promise like, Let’s do like a canvas of

270 00:24:19.930 00:24:22.920 Uttam Kumaran: of what exists in the market, and then we can make a decision.

271 00:24:23.990 00:24:27.179 Casie Aviles: Okay, so for for like.

272 00:24:27.840 00:24:33.330 Casie Aviles: it’s just tools, right? We’re going to look at tools. So we building it won’t be a an option. For now, right.

273 00:24:33.330 00:24:43.469 Uttam Kumaran: I mean, I think, built like I would like us to consider using the tool for search, because if you think about it like, we may want to search across everything

274 00:24:45.040 00:24:51.569 Uttam Kumaran: like meetings, slacks, prs, like, think about it as like almost a global search.

275 00:24:51.950 00:24:55.269 Uttam Kumaran: So I don’t think it’s something that we’re gonna wanna build.

276 00:24:56.010 00:24:58.790 Uttam Kumaran: Okay, is my thought.

277 00:25:00.750 00:25:06.109 Casie Aviles: Alright. Okay. So I’ll keep. Yeah, I’ll look at other tools. Then I’m going to like.

278 00:25:06.670 00:25:11.890 Casie Aviles: add a report here like comparison of each tool.

279 00:25:14.910 00:25:17.110 Casie Aviles: Okay, I’ll work on that.

280 00:25:19.310 00:25:23.829 Casie Aviles: Okay, so we have the co-pilot kit Demo here.

281 00:25:27.150 00:25:29.889 Casie Aviles: This is still in progress. Also, right? Miguel.

282 00:25:29.890 00:25:30.979 Miguel de Veyra: Yeah, yeah, yeah.

283 00:25:34.380 00:25:40.620 Uttam Kumaran: If it’s not, if it’s not, if you’re not working on it, Miguel, let’s just keep it in to do. I just wanna make sure that, because then we won’t.

284 00:25:40.910 00:25:44.539 Uttam Kumaran: We’ll just leave it there unless you started it.

285 00:25:45.030 00:25:48.620 Miguel de Veyra: I started it. But I’ve already spent. I only I only spent like an hour.

286 00:25:48.800 00:25:50.590 Miguel de Veyra: basically just reading through the docs.

287 00:26:00.450 00:26:02.730 Casie Aviles: Sorry my browser is so slow. Right now.

288 00:26:04.620 00:26:08.369 Casie Aviles: Okay, we also have the sop.

289 00:26:14.240 00:26:19.969 Uttam Kumaran: Yeah, I feel like, this is like, let’s just put this in review. I I would like this to get reviewed by

290 00:26:20.190 00:26:22.140 Uttam Kumaran: everyone here on the team.

291 00:26:26.270 00:26:36.349 Uttam Kumaran: I I don’t know if, like we like. Yeah, I I maybe we could do a meeting or something. But like I I want for us to approve this. I want get to get everyone to meet.

292 00:26:37.093 00:26:37.900 Uttam Kumaran: You know.

293 00:26:48.420 00:26:49.070 Casie Aviles: Okay.

294 00:26:58.579 00:27:02.339 Casie Aviles: Do. Do you want to set up a time for that, Miguel? Or.

295 00:27:03.210 00:27:04.770 Miguel de Veyra: Yeah, sure. I’ll book one now.

296 00:27:06.440 00:27:08.470 Casie Aviles: Okay, yeah.

297 00:27:14.320 00:27:18.099 Casie Aviles: Yeah. I think that’s all from the stuff in progress.

298 00:27:18.410 00:27:26.239 Uttam Kumaran: Can you make sure that like Boss Dev and Sam’s tickets are showing? Maybe you can. You have. Maybe you have to edit this view, I think

299 00:27:27.500 00:27:28.480 Uttam Kumaran: like here.

300 00:27:34.870 00:27:37.309 Uttam Kumaran: Oh, I think if you you can just edit it.

301 00:27:41.520 00:27:42.230 Uttam Kumaran: Yeah.

302 00:27:45.860 00:27:46.650 Casie Aviles: Okay.

303 00:27:53.820 00:27:55.490 Uttam Kumaran: Like here, click on this.

304 00:28:04.220 00:28:05.530 Uttam Kumaran: Yeah, perfect.

305 00:28:16.115 00:28:19.860 Casie Aviles: Okay, yeah, we have some from some here.

306 00:28:24.680 00:28:28.479 Casie Aviles: Okay? So we have the platform architecture document.

307 00:28:31.096 00:28:35.550 Sam Roberts: Yeah, that should be linked there. That’s definitely in progress. That’s that’s gonna be a.

308 00:28:36.120 00:28:36.770 Casie Aviles: Okay.

309 00:28:37.320 00:28:39.900 Sam Roberts: But the other ones.

310 00:28:42.930 00:28:46.960 Sam Roberts: the what were the other ones that were the video?

311 00:28:47.417 00:28:49.977 Sam Roberts: I think I to the screenshot

312 00:28:51.330 00:28:58.050 Sam Roberts: I think it’s it’s pretty pretty solid the tool that I found mid stack, I think.

313 00:28:58.280 00:29:04.890 Sam Roberts: and I guess I guess gotta figure out now that I’m in heroku and stuff, and and pushing all that and making sure that it works

314 00:29:05.160 00:29:09.209 Sam Roberts: so that people can play with it and make sure it’s good to go get that into review.

315 00:29:10.620 00:29:11.280 Casie Aviles: Okay.

316 00:29:12.190 00:29:19.559 Sam Roberts: And then the other one was the Login. I haven’t touched that yet. That was hopefully today.

317 00:29:22.240 00:29:26.859 Uttam Kumaran: Okay, cool. Yeah. The login isn’t like super high priority. I I left a bunch of notes

318 00:29:27.220 00:29:30.599 Uttam Kumaran: on the platform Doc, yesterday. So.

319 00:29:30.600 00:29:38.370 Sam Roberts: Yeah, no, I saw some of that. I haven’t gone through it all yet, but I was getting to that as well. So I wasn’t sure what my hours were this week. But yeah, cool.

320 00:29:42.080 00:29:42.780 Casie Aviles: Okay

321 00:29:46.320 00:29:51.170 Casie Aviles: for the data platform. We have some from Bostev here.

322 00:29:55.174 00:29:57.730 Uttam Kumaran: Yeah, that’s fine. I’ll I can follow up with

323 00:29:57.960 00:30:01.480 Uttam Kumaran: with him on these, I think, if you mind like tagging him and

324 00:30:02.176 00:30:06.930 Uttam Kumaran: asking about like just to link the Prs for these.

325 00:30:08.800 00:30:09.270 Casie Aviles: Sure!

326 00:30:19.690 00:30:33.670 Uttam Kumaran: Yeah. And then, Sam, for that spike. Yeah, maybe it’d be. It’d be helpful if you just want to create a quick like, I think we have a spike template in notion, but you can just literally jot down whatever you did as part of discovery that way. We can all

327 00:30:33.820 00:30:39.980 Uttam Kumaran: add add notes or questions, and then we can begin to take it out like implementation for that.

328 00:30:40.670 00:30:41.500 Sam Roberts: Sounds good.

329 00:30:46.970 00:30:52.380 Uttam Kumaran: Great. Okay, that’s everything on my side. Anything else.

330 00:30:52.770 00:30:57.070 Miguel de Veyra: I added the doc the the stuff on the client

331 00:31:00.450 00:31:01.949 Miguel de Veyra: and the one in review.

332 00:31:05.632 00:31:08.840 Miguel de Veyra: No, no fix adding and updating clients book.

333 00:31:09.050 00:31:13.240 Miguel de Veyra: It’s already been merged because we deployed it already. No. The other one

334 00:31:13.500 00:31:17.529 Miguel de Veyra: fix 4, 2, 3, AI, 4, 2, 3 under internal review.

335 00:31:21.040 00:31:22.130 Miguel de Veyra: Yeah, that one.

336 00:31:27.290 00:31:29.620 Miguel de Veyra: So I added the stuff here already.

337 00:31:36.540 00:31:37.159 Casie Aviles: No way.

338 00:31:37.530 00:31:39.960 Miguel de Veyra: But yeah, if you want to test it, it’s all in platform.

339 00:31:40.580 00:31:41.620 Miguel de Veyra: It’s live.

340 00:31:45.616 00:31:48.579 Mustafa Raja: Yeah, we can also review the review app for deals.

341 00:31:53.070 00:31:53.570 Casie Aviles: Okay,

342 00:31:57.360 00:31:58.129 Mustafa Raja: Should we go?

343 00:31:58.130 00:32:00.100 Mustafa Raja: The link and the deal ticket?

344 00:32:03.250 00:32:04.369 Mustafa Raja: The other one?

345 00:32:32.181 00:32:35.249 Mustafa Raja: There should be a deals button in the sidebar.

346 00:32:37.280 00:32:38.000 Mustafa Raja: Yeah.

347 00:32:43.110 00:32:59.230 Mustafa Raja: yes. So most of this database logic was in the front end that I moved to the back end. Added. A new column for owner. And if you click on the dropdown of statuses

348 00:33:00.141 00:33:09.279 Mustafa Raja: previously it had some unknown status ids which which now resolved and now

349 00:33:09.430 00:33:17.919 Mustafa Raja: the default filter is on all statuses. So these were the guidelines given by autumn.

350 00:33:17.920 00:33:21.416 Mustafa Raja: Great go, thanks, and we can

351 00:33:22.000 00:33:31.019 Mustafa Raja: sort of sort on honor if we click on, if we click on the 3 lines on the right side of honor.

352 00:33:32.550 00:33:37.880 Mustafa Raja: Yeah, it’s a it’s a just short space in the name.

353 00:33:39.370 00:33:42.169 Uttam Kumaran: And then how often is the Hubspot data getting synced.

354 00:33:43.560 00:33:49.719 Mustafa Raja: Yeah, I looked into it and I saw that the trigger is having some issues.

355 00:33:50.379 00:33:58.500 Mustafa Raja: It’s not it’s not even being triggered. So I’m I’m thinking. Maybe we should do a schedule schedule thing instead.

356 00:33:59.770 00:34:10.320 Uttam Kumaran: Yeah, that’d be my suggestion, too. I mean, I think you can either do this in polytomic, or you can do this in in Daxter, if it’s pretty simple, and just run it every like.

357 00:34:10.320 00:34:10.760 Mustafa Raja: I mean.

358 00:34:10.760 00:34:12.960 Uttam Kumaran: Running every hour during the day.

359 00:34:12.960 00:34:18.329 Mustafa Raja: Yeah, I mean, I’ve already set it up in in it, and it it would only need

360 00:34:19.267 00:34:20.819 Mustafa Raja: a scheduler node.

361 00:34:21.670 00:34:24.730 Mustafa Raja: So let me know if I can just throw that in a

362 00:34:28.850 00:34:31.970 Mustafa Raja: or if we want to do it in the external, I can do that too.

363 00:34:33.636 00:34:36.200 Uttam Kumaran: I would rather do it in Daxter.

364 00:34:36.550 00:34:39.210 Mustafa Raja: Okay, I’ll set it up. I’ll set up a pipeline.

365 00:34:39.229 00:34:40.019 Uttam Kumaran: Okay. Cool.

366 00:34:43.710 00:34:48.730 Mustafa Raja: Yeah, let me know if we can merge this and deploy.

367 00:34:51.679 00:34:54.479 Uttam Kumaran: Okay, I’ll check, and then I’ll I’ll I’ll merge.

368 00:34:54.480 00:34:55.110 Mustafa Raja: Okay.

369 00:35:00.650 00:35:04.109 Casie Aviles: Okay, yeah, that’s it. For the internal tickets.

370 00:35:11.510 00:35:12.700 Uttam Kumaran: Oh, wait!

371 00:35:12.820 00:35:17.090 Casie Aviles: Yeah, I’m not sure if I can add the client stuff here, but.

372 00:35:18.020 00:35:24.320 Uttam Kumaran: That’s fine. Yeah, I think we’re. I think the clients that we’re already kind of good for right now. So

373 00:35:25.250 00:35:28.580 Uttam Kumaran: okay, yeah, I think that’s probably it. Anything else you want to discuss today.

374 00:35:30.790 00:35:31.440 Casie Aviles: Local.

375 00:35:32.090 00:35:40.140 Uttam Kumaran: Yeah, Casey, I’m gonna I’m gonna text, some friends about search and I’ll connect you if I ask, like, Patrick may have some ideas too.

376 00:35:41.070 00:35:41.860 Casie Aviles: Okay.

377 00:35:42.010 00:35:46.530 Uttam Kumaran: Okay, okay, thanks. Everyone. Appreciate it.

378 00:35:48.210 00:35:48.900 Casie Aviles: Thank you.

379 00:35:49.090 00:35:49.760 Mustafa Raja: Thank you.

380 00:35:50.710 00:35:51.360 Sam Roberts: Bye.