Meeting Title: AI Team Standup Date: 2025-06-10 Meeting participants: Awaish Kumar, Fireflies.ai Notetaker Awaish, Uttam Kumaran, Miguel de Veyra, Casie Aviles, Mustafa Raja


WEBVTT

1 00:07:51.960 00:07:53.290 Uttam Kumaran: Okay.

2 00:07:57.670 00:07:59.550 Miguel de Veyra: Hey? Rish! Sorry we were late.

3 00:08:07.430 00:08:10.130 Uttam Kumaran: Okay, so let’s talk about

4 00:08:12.280 00:08:20.560 Uttam Kumaran: how we’re looking. So this is everything that’s here. Right now to do this cycle. What is this? Right now.

5 00:08:32.710 00:08:34.480 Uttam Kumaran: One second

6 00:08:40.880 00:08:45.949 Uttam Kumaran: I yesterday I fixed a bunch of these. I wanted to make all the names the same.

7 00:08:46.760 00:08:54.790 Uttam Kumaran: so that when you see it it should all be merged nice cool.

8 00:08:55.290 00:09:00.640 Uttam Kumaran: So this is all stuff that’s in

9 00:09:01.400 00:09:05.599 Uttam Kumaran: this acts. It’s in an a active cycle right now.

10 00:09:10.510 00:09:12.600 Uttam Kumaran: oh.

11 00:09:29.500 00:09:32.669 Uttam Kumaran: gonna move this to next cycle.

12 00:09:41.930 00:09:44.459 Uttam Kumaran: Okay, so let’s talk about ABC,

13 00:09:47.740 00:09:51.979 Uttam Kumaran: this one is in pr review. I left some comments.

14 00:09:56.180 00:09:58.640 Uttam Kumaran: Okay, anything else. Here, Casey, for this one.

15 00:10:00.740 00:10:01.320 Casie Aviles: Hmm!

16 00:10:02.230 00:10:06.250 Casie Aviles: I’m just checking the comments. But yeah, what? I’ll resolve.

17 00:10:06.250 00:10:08.569 Uttam Kumaran: Stop just for you to review as well.

18 00:10:08.570 00:10:10.600 Mustafa Raja: Yeah, I saw the email.

19 00:10:11.400 00:10:12.520 Uttam Kumaran: Okay. Cool.

20 00:10:15.830 00:10:19.879 Casie Aviles: Yeah, I’ll just yeah. I’ll check the comments out.

21 00:10:21.726 00:10:25.860 Uttam Kumaran: For this one. Can we consider this done.

22 00:10:26.600 00:10:28.130 Casie Aviles: Yes. Yeah.

23 00:10:48.625 00:10:50.199 Uttam Kumaran: For this one.

24 00:10:50.880 00:10:56.149 Uttam Kumaran: Oh, this is next cycle. Okay. Wait. What?

25 00:11:00.990 00:11:04.370 Uttam Kumaran: Oh, hold on.

26 00:11:09.680 00:11:10.370 Uttam Kumaran: Okay.

27 00:11:12.534 00:11:16.779 Uttam Kumaran: Okay. So this is still blocked. This is still blocked.

28 00:11:23.020 00:11:24.890 Uttam Kumaran: You’re working on this one, Casey.

29 00:11:25.360 00:11:27.969 Casie Aviles: Yeah, this, I’ll put this in in progress.

30 00:11:31.110 00:11:34.389 Uttam Kumaran: You still think today’s fair, or he needs more time.

31 00:11:36.155 00:11:40.900 Casie Aviles: I think it. I’m just going to investigate like, what’s the reason why

32 00:11:41.070 00:11:44.570 Casie Aviles: the bots? Yeah, I think I can do it today.

33 00:11:45.980 00:11:46.550 Uttam Kumaran: Okay?

34 00:11:51.280 00:11:57.960 Uttam Kumaran: And then this spike this is for Mustafa. So I’m just gonna put the

35 00:12:03.560 00:12:05.000 Uttam Kumaran: as end of the week.

36 00:12:08.060 00:12:09.820 Mustafa Raja: What’s a spike? Actually.

37 00:12:10.560 00:12:11.290 Miguel de Veyra: Oh, yeah.

38 00:12:11.290 00:12:11.720 Uttam Kumaran: Us.

39 00:12:11.720 00:12:12.550 Miguel de Veyra: Explain to him.

40 00:12:12.840 00:12:24.990 Uttam Kumaran: Spike is just like an exploration. So the goal, these are the goals for the spike, which is like, how reliable is the Google docs. Api, what options exist for monitoring Google docs.

41 00:12:25.320 00:12:28.279 Uttam Kumaran: So we just have some of these open questions that we want to answer.

42 00:12:28.280 00:12:32.180 Mustafa Raja: Okay, okay, so I need to find an proper answers for everything.

43 00:12:32.800 00:12:34.399 Uttam Kumaran: Yes, that’s correct.

44 00:12:34.400 00:12:35.530 Mustafa Raja: Yeah, okay.

45 00:12:36.260 00:12:43.550 Uttam Kumaran: So that’s what that way it gives you time to explore without like being like, oh, I’m gonna sign up to build something where we don’t even know how long it’s gonna take.

46 00:12:43.640 00:12:44.490 Mustafa Raja: Yeah.

47 00:13:27.660 00:13:28.710 Uttam Kumaran: One second.

48 00:13:33.950 00:13:38.864 Uttam Kumaran: Okay, great. Let’s talk about

49 00:13:39.710 00:13:42.002 Uttam Kumaran: let’s talk about pool parts.

50 00:13:45.380 00:13:50.760 Uttam Kumaran: so yeah, tell me, what’s the latest updates.

51 00:13:51.192 00:14:04.590 Miguel de Veyra: Yeah. So basically, I well, the analytics are technically running already. It’s all going into S. 3, like, if you ask it questions, I think I requested last week is, if

52 00:14:04.850 00:14:10.629 Miguel de Veyra: cause it’s going there. Csv, but I’m not sure if that’s the format I mean, it’s the one you want.

53 00:14:11.090 00:14:15.170 Miguel de Veyra: I mean I checked it. It looks good, but I wanna clarify on your end.

54 00:14:17.040 00:14:18.570 Uttam Kumaran: Okay, I’ll have to.

55 00:14:18.690 00:14:21.580 Uttam Kumaran: I’ll have to look at that.

56 00:14:22.270 00:14:27.250 Uttam Kumaran: There’s also they gave me some feedback on mobile.

57 00:14:28.303 00:14:29.210 Miguel de Veyra: Okay, sure.

58 00:14:33.280 00:14:34.480 Miguel de Veyra: Have you created a ticket?

59 00:14:34.480 00:14:36.619 Miguel de Veyra: Sorry cause I checked it. I didn’t see anything.

60 00:14:36.620 00:14:40.250 Uttam Kumaran: No, I’m gonna make them. I was just waiting to talk to you.

61 00:14:40.500 00:14:41.300 Miguel de Veyra: Okay. Okay.

62 00:15:11.870 00:15:14.729 Uttam Kumaran: Hold on. I’m using AI to help me write these tickets.

63 00:15:41.150 00:15:44.799 Mustafa Raja: For July. There’s a tool called V 0.

64 00:15:44.920 00:15:46.200 Mustafa Raja: We can use that.

65 00:17:39.000 00:17:43.220 Uttam Kumaran: Okay. So for these 2,

66 00:17:48.630 00:17:53.959 Uttam Kumaran: so this one, basically, it just it just isn’t aware that it can. Oh, it can use pictures.

67 00:17:54.850 00:17:55.790 Uttam Kumaran: Miguel.

68 00:17:56.300 00:17:58.070 Miguel de Veyra: Yeah. Yeah. Now, it should be aware.

69 00:17:59.150 00:18:00.709 Uttam Kumaran: No, no, no, it it didn’t know.

70 00:18:01.520 00:18:02.190 Miguel de Veyra: I’m.

71 00:18:05.070 00:18:05.620 Uttam Kumaran: It’s an item.

72 00:18:05.720 00:18:07.760 Miguel de Veyra: Okay. Okay.

73 00:18:07.970 00:18:12.309 Uttam Kumaran: Yeah, that’s the easy one. Right?

74 00:18:12.710 00:18:14.490 Miguel de Veyra: Yeah, yeah, that should be.

75 00:18:14.690 00:18:15.869 Miguel de Veyra: Honestly, I don’t.

76 00:18:15.870 00:18:16.390 Uttam Kumaran: It’s.

77 00:18:16.860 00:18:19.799 Miguel de Veyra: Yeah. Yeah. 2 points would be 2 points is 2 h. Right?

78 00:18:21.675 00:18:22.350 Uttam Kumaran: Yeah.

79 00:18:22.600 00:18:27.279 Miguel de Veyra: What did they send like above one, and anything about.

80 00:18:27.503 00:18:32.410 Uttam Kumaran: I’m pretty sure it’s it said like, what can you help me with? But you can also go see this in the

81 00:18:32.530 00:18:33.560 Uttam Kumaran: analytics.

82 00:18:33.861 00:18:38.390 Miguel de Veyra: Yeah. Yeah. Cause. Okay. Okay, yeah. Yeah. I’ll I can fix that easily. No worries.

83 00:18:43.430 00:18:45.480 Uttam Kumaran: And then, if you just add this, the Evals

84 00:18:45.730 00:18:48.590 Uttam Kumaran: with like what the right thing should be, that’d be great.

85 00:18:48.760 00:18:55.100 Uttam Kumaran: And then yeah, like he sent this video, which is just like there’s some weird like,

86 00:18:57.810 00:19:03.319 Uttam Kumaran: I think basically says like it, it frees, it frees on Ios when uploading the image.

87 00:19:05.750 00:19:07.509 Miguel de Veyra: Okay, I’ll try it on my phone.

88 00:19:07.750 00:19:10.100 Miguel de Veyra: I’m I’m pretty sure I’ll experience it firsthand.

89 00:19:11.110 00:19:11.800 Uttam Kumaran: Okay?

90 00:19:17.600 00:19:23.560 Uttam Kumaran: And then, while you’re while you’re doing this, can you just like see if you can improve the mobile view any at all?

91 00:19:23.560 00:19:25.319 Miguel de Veyra: Oh, yeah, yeah, definitely. Okay. Sure.

92 00:19:26.020 00:19:29.339 Uttam Kumaran: Like, what do you? What do? What, what fixes do you want to make for mobile.

93 00:19:31.240 00:19:35.740 Miguel de Veyra: Honestly, I’ll probably just copy the one for Chat. Gpt. Mobile.

94 00:19:36.310 00:19:37.040 Uttam Kumaran: Okay.

95 00:19:40.180 00:19:43.539 Miguel de Veyra: Or unless we asked, and to create a ui for this.

96 00:19:43.780 00:19:44.939 Uttam Kumaran: No, no, no, no.

97 00:19:45.140 00:19:46.030 Miguel de Veyra: Okay. Okay.

98 00:19:52.260 00:19:53.959 Uttam Kumaran: What do you think the estimate is for this.

99 00:19:55.020 00:20:00.319 Miguel de Veyra: Mobile is always troublesome. I’d probably put it at. No, not yeah. Yeah. 3, probably.

100 00:20:01.240 00:20:01.880 Uttam Kumaran: Okay.

101 00:20:05.840 00:20:09.909 Uttam Kumaran: okay, cool. And then basic analytics setup.

102 00:20:11.159 00:20:19.270 Miguel de Veyra: This one is already running. I just need to. Yeah, pr review, basically or internal, not bad.

103 00:20:21.060 00:20:23.050 Miguel de Veyra: And this one is in progress.

104 00:20:27.290 00:20:29.870 Uttam Kumaran: Okay, cool. So I think, like,

105 00:20:30.570 00:20:34.080 Uttam Kumaran: this one would be great to do like.

106 00:20:34.860 00:20:36.630 Miguel de Veyra: Yeah, I can prioritize this.

107 00:20:37.500 00:20:39.880 Uttam Kumaran: Yeah, this one’s a high priority. And then.

108 00:20:39.880 00:20:42.320 Miguel de Veyra: Can you move it to in progress? Please.

109 00:20:43.170 00:20:43.740 Uttam Kumaran: Yeah.

110 00:20:46.030 00:20:47.709 Miguel de Veyra: And then this one, as well.

111 00:20:48.110 00:20:49.020 Uttam Kumaran: Yeah.

112 00:20:49.260 00:20:50.860 Uttam Kumaran: And then, how about this one?

113 00:20:51.570 00:20:53.300 Uttam Kumaran: It’s the same thing as analytics.

114 00:20:54.090 00:20:55.300 Miguel de Veyra: Append all

115 00:20:59.790 00:21:02.679 Uttam Kumaran: I basically wanted to get all the pairs in here.

116 00:21:03.764 00:21:07.740 Miguel de Veyra: The pairs of answers right.

117 00:21:08.030 00:21:08.690 Uttam Kumaran: Yeah.

118 00:21:09.220 00:21:17.149 Miguel de Veyra: Append all answer. Response, pair? Response. Oh, yeah, yeah, I can easily do that. No worries, probably 2 or 3. Yeah.

119 00:21:19.180 00:21:21.319 Miguel de Veyra: So I’ll create like a new sheet right.

120 00:21:21.990 00:21:22.740 Uttam Kumaran: Yeah.

121 00:21:22.740 00:21:23.820 Miguel de Veyra: Okay, yeah.

122 00:21:24.360 00:21:27.890 Miguel de Veyra: Why? Why do we not just put it on snowflake or super base.

123 00:21:29.166 00:21:33.969 Uttam Kumaran: Because these guys are like, not technical at all. Like, I just want them to have it there.

124 00:21:34.643 00:21:35.309 Miguel de Veyra: Okay. Okay.

125 00:21:36.440 00:21:37.160 Uttam Kumaran: Yeah.

126 00:21:38.224 00:21:43.389 Uttam Kumaran: Okay, cool. So that’s it for pool parts. That’s great. I don’t think I

127 00:21:43.730 00:21:49.450 Uttam Kumaran: really got much else from them. Oh, I did get a couple of other things, actually,

128 00:21:52.030 00:21:53.379 Miguel de Veyra: There’s an Oh, by the way.

129 00:21:54.090 00:21:55.539 Uttam Kumaran: Oh! By the way.

130 00:21:55.930 00:21:59.570 Miguel de Veyra: Oh, wait! Let me just turn on my echo. Give me one. Give me 1 min. Yeah.

131 00:21:59.570 00:22:00.160 Uttam Kumaran: Oh, yeah.

132 00:22:17.440 00:22:19.620 Miguel de Veyra: Wait. You can give me one moment, please.

133 00:22:19.620 00:22:21.150 Uttam Kumaran: Yeah, take your time.

134 00:22:24.740 00:22:25.430 Miguel de Veyra: Beautiful.

135 00:22:26.610 00:22:28.080 Miguel de Veyra: Okay, yeah. I’m back.

136 00:22:29.190 00:22:33.389 Uttam Kumaran: So for the golden data sheet, we’re going to store the scores in Braintrust.

137 00:22:38.080 00:22:39.100 Miguel de Veyra: Do we have to.

138 00:22:40.190 00:22:43.909 Uttam Kumaran: Well, like, where? Where? This you’re gonna store the scores. Where then?

139 00:22:44.920 00:22:47.050 Miguel de Veyra: It’s included in the Csv file.

140 00:22:48.770 00:22:51.339 Uttam Kumaran: Oh, okay. Okay. In s, 3. Okay. Okay. Okay.

141 00:22:55.380 00:23:05.340 Miguel de Veyra: But I think the the important thing right now, because the evils are running without the golden data sheets knowledge without the knowledge of the golden data sheet. So I need to really work. Put that in there.

142 00:23:05.550 00:23:06.610 Uttam Kumaran: Oh, okay.

143 00:23:08.950 00:23:11.120 Uttam Kumaran: The other thing is, I got

144 00:23:11.460 00:23:14.649 Uttam Kumaran: they. He mentioned that there’s a couple of subreddits

145 00:23:14.810 00:23:17.950 Uttam Kumaran: and Facebook groups that have a bunch of information.

146 00:23:18.380 00:23:20.570 Uttam Kumaran: I want us to try to scrape those.

147 00:23:21.840 00:23:25.849 Miguel de Veyra: Okay, yeah, did they give those links.

148 00:23:26.120 00:23:29.550 Uttam Kumaran: Yeah, so there’s our swimming pools, our pools.

149 00:23:29.740 00:23:33.640 Uttam Kumaran: And then he gave the Facebook groups as well.

150 00:23:33.970 00:23:37.660 Miguel de Veyra: I’ll probably do a deep search.

151 00:23:38.320 00:23:41.060 Miguel de Veyra: Using Gpt. 4.

152 00:23:41.540 00:23:42.926 Uttam Kumaran: Yeah, basically,

153 00:23:47.080 00:23:48.630 Uttam Kumaran: yeah, basically.

154 00:23:52.160 00:23:55.369 Uttam Kumaran: We wanted to get more question pairs.

155 00:23:58.090 00:24:02.039 Miguel de Veyra: Hmm, yeah, yeah, basically fill out the golden data sheet more.

156 00:24:02.600 00:24:03.180 Uttam Kumaran: Yeah.

157 00:24:03.720 00:24:10.380 Uttam Kumaran: And to actually show you guys this, what I what I just did. So I I just took the transcript of my meeting with Cody, and I just put it into here.

158 00:24:10.720 00:24:12.509 Uttam Kumaran: I think they gave me these tickets.

159 00:24:12.890 00:24:15.880 Miguel de Veyra: Oh, what’s the prompt for this? Do you have.

160 00:24:17.010 00:24:17.610 Uttam Kumaran: Did.

161 00:24:17.880 00:24:25.179 Uttam Kumaran: Yes, I have a great fucking prompt for this look. I’m prompt engineer now.

162 00:24:29.040 00:24:32.030 Miguel de Veyra: Why, why don’t we build this in an agent, though, like a ui.

163 00:24:34.150 00:24:40.279 Miguel de Veyra: You tell me we should probably put it in the Zoom Meeting. Then the linear ticket create.

164 00:24:40.280 00:24:43.429 Uttam Kumaran: No, no, we should it we should. This should end up.

165 00:24:43.560 00:24:50.409 Uttam Kumaran: This needs to go into that. Well, we already have. Well, no, no Mustafa already built this.

166 00:24:50.740 00:24:54.989 Uttam Kumaran: but I use this. I use it because it’s just sometimes easy for me to do it here.

167 00:24:55.327 00:24:58.360 Miguel de Veyra: Yeah, yeah, honestly, sometimes it’s just easier to gpt.

168 00:24:58.920 00:25:05.490 Uttam Kumaran: Like. I think we can end up doing it in slack as well, but like it’s pretty, it’s pretty good. I think I can make the prompt a little bit better.

169 00:25:06.260 00:25:06.630 Miguel de Veyra: It’s like.

170 00:25:06.630 00:25:10.380 Uttam Kumaran: We don’t. We don’t need like unit tests and stuff like that, but it’s like decent.

171 00:25:10.960 00:25:11.600 Miguel de Veyra: Okay.

172 00:25:21.100 00:25:21.960 Uttam Kumaran: Okay.

173 00:25:32.370 00:25:36.490 Miguel de Veyra: Yeah, this one will probably is this, is it? What cycle are we in 8.

174 00:25:37.000 00:25:40.029 Uttam Kumaran: Yeah, but we’re gonna do just week long cycles.

175 00:25:42.120 00:25:45.180 Uttam Kumaran: But you have time to work on this like you could spend

176 00:25:46.210 00:25:48.620 Uttam Kumaran: 1020 h working on this. If you want.

177 00:25:49.210 00:25:54.759 Miguel de Veyra: Yeah, but this week, yeah. But the thing is this week we already have holiday on Thursday, too.

178 00:25:56.190 00:25:57.760 Uttam Kumaran: Audit on Wednesday and Thursday.

179 00:25:57.760 00:25:59.069 Miguel de Veyra: No, no, Thursday, only.

180 00:25:59.460 00:26:03.990 Uttam Kumaran: Okay, so you have, at least 3 days, or whatever.

181 00:26:04.530 00:26:08.369 Miguel de Veyra: Yeah, I can. I think I can squeeze this in this week definitely.

182 00:26:09.630 00:26:10.230 Uttam Kumaran: Okay.

183 00:26:14.760 00:26:16.790 Miguel de Veyra: I’ll try to finish up the

184 00:26:17.600 00:26:23.100 Miguel de Veyra: the, the in progress ones. This one should be 5. Yeah.

185 00:26:29.100 00:26:33.330 Uttam Kumaran: Okay, so let’s talk about internal work.

186 00:26:35.270 00:26:39.440 Miguel de Veyra: There’s yeah, I think. Yeah, sorry. Let’s start from right to left.

187 00:26:39.750 00:26:46.379 Uttam Kumaran: Yeah, so this one is good. Mustafa. This, this is like perfect is everyone familiar? Did everyone watch this video? By the way.

188 00:26:47.085 00:26:49.290 Miguel de Veyra: No, I have not. I just started.

189 00:26:49.290 00:26:52.368 Uttam Kumaran: Let me just share briefly, like what this is.

190 00:26:54.500 00:26:56.080 Miguel de Veyra: Who’s that in the top left.

191 00:26:57.097 00:26:59.470 Uttam Kumaran: This is a video I’m watching you guys use arc.

192 00:27:00.100 00:27:00.810 Miguel de Veyra: Yeah.

193 00:27:00.810 00:27:04.939 Mustafa Raja: I used to. I used to use arc, but it took about.

194 00:27:04.940 00:27:05.339 Uttam Kumaran: To have that.

195 00:27:05.340 00:27:05.810 Mustafa Raja: And then.

196 00:27:05.810 00:27:06.700 Uttam Kumaran: Players.

197 00:27:07.090 00:27:07.680 Miguel de Veyra: That’s just a bug.

198 00:27:07.680 00:27:08.400 Uttam Kumaran: Cast.

199 00:27:08.590 00:27:09.720 Miguel de Veyra: Oh, okay. Okay.

200 00:27:10.470 00:27:12.369 Mustafa Raja: It’s a lot of RAM, though. No.

201 00:27:12.370 00:27:13.780 Mustafa Raja: yeah, it’s a lot of RAM.

202 00:27:13.980 00:27:16.020 Uttam Kumaran: This a Mac. I got a Mac mini.

203 00:27:16.020 00:27:17.049 Mustafa Raja: I do?

204 00:27:17.580 00:27:18.090 Mustafa Raja: I see.

205 00:27:18.090 00:27:19.730 Miguel de Veyra: I have 98 GB of RAM.

206 00:27:20.290 00:27:21.080 Mustafa Raja: I.

207 00:27:21.080 00:27:21.979 Uttam Kumaran: Yeah, I mean.

208 00:27:22.150 00:27:23.237 Miguel de Veyra: What is my

209 00:27:25.760 00:27:26.410 Mustafa Raja: I.

210 00:27:26.410 00:27:32.649 Uttam Kumaran: I mean, yeah, it’s using a lot of memory. But like I have, I don’t know. It’s not bad. It is a. It is using a lot. But.

211 00:27:32.800 00:27:33.850 Miguel de Veyra: Yeah, yeah.

212 00:27:34.100 00:27:35.639 Mustafa Raja: I have a Mac mini too.

213 00:27:36.800 00:27:37.820 Uttam Kumaran: Oh, nice!

214 00:27:37.820 00:27:39.450 Mustafa Raja: Yeah. The. m, 4. 1.

215 00:27:40.290 00:27:41.579 Uttam Kumaran: Yeah, it’s great. Oh, my God.

216 00:27:41.580 00:27:42.280 Mustafa Raja: Yeah.

217 00:27:42.460 00:27:43.540 Uttam Kumaran: Amazing.

218 00:27:43.540 00:27:44.200 Mustafa Raja: Yeah.

219 00:27:44.200 00:27:48.159 Uttam Kumaran: Look linear is using almost as much as Oh, I got a quick.

220 00:27:48.160 00:27:54.560 Mustafa Raja: Yeah, it’s it’s actually got. It’s actually have gotten better. It it was much worse than this.

221 00:27:55.110 00:27:57.229 Mustafa Raja: This is better than before.

222 00:27:57.230 00:27:59.739 Miguel de Veyra: Mine’s 7 GB in Google. Chrome.

223 00:28:00.330 00:28:01.890 Uttam Kumaran: Oh, my God! Dude!

224 00:28:03.260 00:28:05.429 Miguel de Veyra: Thank God, they invested on that RAM.

225 00:28:06.452 00:28:11.929 Uttam Kumaran: So the Brainforge files. We have a repo now that deploys to to cloud flare.

226 00:28:12.200 00:28:13.009 Miguel de Veyra: So you can opt.

227 00:28:13.010 00:28:16.935 Uttam Kumaran: Load files here, and

228 00:28:18.510 00:28:25.120 Uttam Kumaran: basically like, now you can go here. And so I have this URL here, which is files@brainforge.ai.

229 00:28:26.430 00:28:31.649 Uttam Kumaran: and it just opens it up. And then there’s a cloudflare deployment step. So if you go to the Pr.

230 00:28:31.650 00:28:32.380 Miguel de Veyra: Is it free?

231 00:28:32.380 00:28:32.940 Uttam Kumaran: And.

232 00:28:33.850 00:28:35.230 Mustafa Raja: Yeah, it’s free. Right?

233 00:28:36.430 00:28:37.030 Miguel de Veyra: Oh, nice.

234 00:28:38.200 00:28:39.789 Miguel de Veyra: Yeah. Nice good job of stuff.

235 00:28:39.790 00:28:40.560 Uttam Kumaran: This is great.

236 00:28:41.390 00:28:44.079 Miguel de Veyra: I was over complicating this before, when it was assigned to me.

237 00:28:47.040 00:28:51.233 Uttam Kumaran: Usually Mustafa Miguel was building like an iframe viewer.

238 00:28:52.730 00:28:55.749 Uttam Kumaran: I was like dude. No, just link to it, that’s fine.

239 00:29:00.240 00:29:06.860 Uttam Kumaran: Okay, cool. Let’s talk about this one.

240 00:29:09.763 00:29:11.429 Miguel de Veyra: I think this is done.

241 00:29:12.580 00:29:18.009 Casie Aviles: Yeah, I added my test there, but it’s quite long. But

242 00:29:18.310 00:29:24.089 Casie Aviles: I just outlined like, what? What are the good examples of, you know

243 00:29:24.560 00:29:26.479 Casie Aviles: tests, but there are some that

244 00:29:26.700 00:29:28.310 Casie Aviles: there’s some queries that are not

245 00:29:28.690 00:29:31.800 Casie Aviles: the best like. They don’t return the best results.

246 00:29:33.150 00:29:39.379 Uttam Kumaran: Can I ask a question like, How do we start? Can we start to do like maybe a weekly review of like all of the

247 00:29:40.350 00:29:46.760 Uttam Kumaran: like. How how do we start building our own sort of eval framework and like start to look at these responses.

248 00:29:51.850 00:29:55.154 Casie Aviles: I mean we could do the same thing with ABC. I guess.

249 00:29:55.870 00:29:58.270 Uttam Kumaran: They put it all into a Google sheet and look at it.

250 00:29:58.790 00:30:04.349 Casie Aviles: Yeah, I think I think, Miguel, you showed me that any Dennis released the Evals.

251 00:30:04.350 00:30:09.400 Miguel de Veyra: Yeah, actually, yeah. And it’s less bizarre. Yeah, the least.

252 00:30:12.240 00:30:16.080 Uttam Kumaran: We can. We’ll try that out. Yeah, I think it’s good to run spike on that.

253 00:30:18.000 00:30:18.510 Miguel de Veyra: Yeah.

254 00:30:18.510 00:30:20.719 Casie Aviles: I guess we could start with just

255 00:30:20.900 00:30:23.639 Casie Aviles: yeah, with the how we did with ABC.

256 00:30:27.880 00:30:31.950 Miguel de Veyra: Or if people can just type, or we should probably give it like a feature.

257 00:30:32.350 00:30:35.989 Miguel de Veyra: future thing. Know the ABC like, hey? This answer is bad.

258 00:30:38.280 00:30:43.019 Mustafa Raja: Oh, yeah, something to give a feedback right?

259 00:30:43.020 00:30:44.330 Miguel de Veyra: Yeah, yeah, yeah.

260 00:30:44.330 00:30:45.779 Mustafa Raja: Yeah. Feedback would be good.

261 00:30:46.220 00:30:49.489 Miguel de Veyra: We have that very busy right? The what do you call it?

262 00:30:49.490 00:30:51.349 Casie Aviles: You mean the thumbs up, thumbs down.

263 00:30:51.350 00:30:53.340 Miguel de Veyra: Yeah, yeah, that part that part.

264 00:30:54.010 00:30:54.790 Casie Aviles: Yeah.

265 00:30:59.530 00:31:02.649 Miguel de Veyra: Okay, yeah. But this one can be moved to done. No.

266 00:31:03.930 00:31:07.373 Casie Aviles: Yeah, I showed. Yeah, I showed my. I already added all the

267 00:31:08.550 00:31:11.010 Casie Aviles: the slack and the zoom tools.

268 00:31:12.170 00:31:12.830 Uttam Kumaran: Okay.

269 00:31:19.930 00:31:21.049 Uttam Kumaran: cover this one.

270 00:31:27.289 00:31:30.339 Awaish Kumar: I I see a new Pr created, and I’ve

271 00:31:30.500 00:31:33.810 Awaish Kumar: reviewed it on just now. But

272 00:31:34.050 00:31:39.720 Awaish Kumar: yeah, it still needs some of the clean up before merging.

273 00:31:40.050 00:31:43.479 Miguel de Veyra: Okay, yeah, I’ll I’ll look into it.

274 00:31:47.890 00:31:48.490 Uttam Kumaran: Okay.

275 00:31:50.840 00:31:52.979 Miguel de Veyra: Should we move this back to in progress.

276 00:31:53.820 00:31:55.680 Uttam Kumaran: Yes, I will move this.

277 00:32:01.010 00:32:04.090 Miguel de Veyra: Yeah, okay.

278 00:32:10.210 00:32:14.620 Uttam Kumaran: Okay, and Mustafa, you’re still working on these.

279 00:32:14.620 00:32:19.459 Mustafa Raja: The the bottom one. I have left some comments.

280 00:32:20.280 00:32:20.890 Uttam Kumaran: Okay.

281 00:32:22.350 00:32:23.140 Uttam Kumaran: Okay.

282 00:32:26.270 00:32:32.710 Mustafa Raja: And all. Yeah, yeah. And also for the v 1 slack summarizer. But

283 00:32:33.600 00:32:35.672 Mustafa Raja: what’s the next steps?

284 00:32:36.470 00:32:43.580 Mustafa Raja: I tagged you in the recent responses that it’s generating. I believe we have to do some prompt engineering

285 00:32:43.830 00:32:45.309 Mustafa Raja: to make it better.

286 00:32:45.660 00:32:47.910 Mustafa Raja: That’s all we need to do for this.

287 00:32:54.780 00:32:55.650 Miguel de Veyra: Definitely.

288 00:32:56.780 00:32:58.314 Uttam Kumaran: Okay, let me just get the

289 00:32:59.640 00:33:02.359 Uttam Kumaran: let me just get the responses from the test channel.

290 00:33:02.740 00:33:03.310 Mustafa Raja: Yeah.

291 00:33:07.890 00:33:10.279 Uttam Kumaran: Oh, okay, okay, great. Right? I see it.

292 00:33:16.220 00:33:23.110 Mustafa Raja: And for the previous one that we moved to blocked. I have attached the loom video for your reference.

293 00:33:23.610 00:33:24.370 Uttam Kumaran: Okay.

294 00:33:24.370 00:33:26.919 Mustafa Raja: In the investing one, investigating one.

295 00:33:28.500 00:33:33.569 Uttam Kumaran: Okay, so these are both an internal review.

296 00:33:36.000 00:33:37.320 Uttam Kumaran: Miguel.

297 00:33:40.510 00:33:41.450 Mustafa Raja: For this.

298 00:33:41.450 00:33:43.490 Miguel de Veyra: Oh, shit. Yeah.

299 00:33:44.170 00:33:58.260 Mustafa Raja: This. I feel that the heroku is using our env. So we have to be ready that the app might not work. If we have not configured.

300 00:33:58.260 00:34:05.019 Miguel de Veyra: I added everything already. It’s just a matter of cleaning. Github. Yeah, I’ll work on this.

301 00:34:05.200 00:34:07.619 Miguel de Veyra: I think this is telling to do right. Yeah.

302 00:34:08.940 00:34:17.100 Miguel de Veyra: no one has has anyone, Casey or Mustafa. Are you guys working on anything? If cause? If not, I’m gonna delete basically everything else.

303 00:34:17.100 00:34:21.080 Mustafa Raja: Yeah, yeah, delete, because I have merged my things to main.

304 00:34:21.679 00:34:23.329 Casie Aviles: I don’t have any Prs.

305 00:34:23.590 00:34:30.179 Miguel de Veyra: Okay, okay, I’ll clean it up. Then today, today.

306 00:34:33.269 00:34:38.309 Uttam Kumaran: Okay. Okay, this is a to do.

307 00:34:38.650 00:34:44.860 Miguel de Veyra: I think there’s an important one there. Can you scroll to the left more? Oh, there’s no more items.

308 00:34:46.320 00:34:49.529 Uttam Kumaran: I can. Yeah, I mean, tell me, which. What do you want to look at?

309 00:34:50.000 00:34:56.189 Miguel de Veyra: Yeah, there’s 1 there. That’s actually, I think we should really do the one for security for the demo side.

310 00:34:57.600 00:35:00.310 Miguel de Veyra: Yeah, this one, basically, you know.

311 00:35:00.780 00:35:12.949 Miguel de Veyra: so no one can or no, not no, bot can just basically cook us. But I don’t think we’ll have the time this week for that, although we can. I think I can squeeze it. But we’re not gonna deploy it anyways, right? We’re not rushing them

312 00:35:13.350 00:35:14.020 Miguel de Veyra: because we don’t.

313 00:35:14.020 00:35:17.770 Uttam Kumaran: Yeah, I moved it. I’ll keep it in. Yeah, we’re not sending it to anyone, really.

314 00:35:18.480 00:35:19.580 Miguel de Veyra: Okay. Okay.

315 00:35:23.690 00:35:24.509 Uttam Kumaran: What’s that?

316 00:35:24.770 00:35:31.199 Miguel de Veyra: It’s the medical medical analysis which I’ll modify. Okay, never mind.

317 00:35:32.440 00:35:35.029 Miguel de Veyra: Oh, yeah, we have a lot of stuff to do for the demo. So.

318 00:35:35.483 00:35:36.390 Mustafa Raja: Can we?

319 00:35:39.960 00:35:42.291 Uttam Kumaran: Oh, looks! I already made these.

320 00:35:43.820 00:35:46.549 Uttam Kumaran: Damn it, dude! I look I did my job

321 00:35:51.910 00:35:53.699 Uttam Kumaran: that that one needs to happen.

322 00:35:53.930 00:35:57.870 Uttam Kumaran: So this one is like

323 00:35:58.490 00:36:01.769 Uttam Kumaran: the bot may get chemistry information as well.

324 00:36:06.070 00:36:09.300 Miguel de Veyra: And both image handling with chemistry contacts.

325 00:36:11.000 00:36:12.660 Miguel de Veyra: Meaning sorry.

326 00:36:14.930 00:36:19.269 Miguel de Veyra: Reading it. The team discussed our diagnosis.

327 00:36:23.680 00:36:26.190 Miguel de Veyra: Okay? Okay, okay, okay, I understand.

328 00:36:28.470 00:36:32.670 Uttam Kumaran: This one. I don’t know if you’ll get to. Seems like a larger one.

329 00:36:33.920 00:36:37.510 Miguel de Veyra: Yeah, this is, yeah.

330 00:36:38.300 00:36:41.160 Miguel de Veyra: I have 15 points this week.

331 00:36:43.340 00:36:45.030 Uttam Kumaran: I’m gonna move this one out.

332 00:36:46.970 00:36:52.889 Miguel de Veyra: But I think the the ones we can’t really move. There are the the mobile, the freezing.

333 00:37:09.580 00:37:15.409 Uttam Kumaran: Yeah, yeah, these will have to get done. And then, Casey, I’ll take a look at the off the record stuff.

334 00:37:17.040 00:37:17.760 Casie Aviles: Okay.

335 00:37:22.830 00:37:29.449 Uttam Kumaran: And then, yeah, I’ll I’m gonna have several new tickets for internal work.

336 00:37:30.628 00:37:32.540 Uttam Kumaran: As well coming up.

337 00:37:32.840 00:37:44.220 Uttam Kumaran: So I think like, let’s just try to get through as much stuff this week. And then I think maybe on on Friday we’ll do a planning session, because I want to walk through all the stuff I’m planning for

338 00:37:44.772 00:37:48.199 Uttam Kumaran: some project management related automation. So I can share that.

339 00:37:49.899 00:37:50.410 Miguel de Veyra: Okay.

340 00:37:50.920 00:37:55.919 Uttam Kumaran: So actually, maybe you guys, if you have 2 min, maybe I’ll just share some of these things that I’m thinking about.

341 00:38:09.716 00:38:10.670 Uttam Kumaran: Hold on.

342 00:38:24.120 00:38:25.179 Uttam Kumaran: Where’s next?

343 00:38:28.150 00:38:30.090 Uttam Kumaran: Okay? So

344 00:38:32.200 00:38:38.569 Uttam Kumaran: there’s a couple of things I think we’ll probably try to work on. And I’m just. I’ll probably just move these into linear

345 00:38:38.780 00:38:40.800 Uttam Kumaran: as we’re talking about them.

346 00:38:42.460 00:38:46.679 Uttam Kumaran: This one ticket grooming automation.

347 00:38:51.670 00:38:53.403 Uttam Kumaran: This one is just around

348 00:38:54.540 00:39:00.360 Uttam Kumaran: scanning linear flagging tickets that that lack required details and then picking a Pm

349 00:39:00.630 00:39:04.100 Uttam Kumaran: to be like, Hey, we, these need these need more info.

350 00:39:06.107 00:39:10.610 Uttam Kumaran: I mean, let me just share my whole screen, actually, because I’ll show you some examples of what I’m

351 00:39:10.990 00:39:13.390 Uttam Kumaran: so let’s say, for example,

352 00:39:15.330 00:39:17.919 Uttam Kumaran: we have this ticket, which is literally

353 00:39:20.120 00:39:24.080 Uttam Kumaran: Where did it go? Oh, let’s interview

354 00:39:27.470 00:39:28.270 Uttam Kumaran: mark.

355 00:39:32.680 00:39:34.100 Uttam Kumaran: Where did that ticket go?

356 00:39:34.430 00:39:36.070 Uttam Kumaran: Oh, it’s cause it’s not a

357 00:39:45.480 00:39:49.519 Miguel de Veyra: Sorry. I’m just a caveat. The one you were using is Chat gpt desktop right.

358 00:39:49.950 00:39:50.990 Uttam Kumaran: Yes, that’s correct.

359 00:39:50.990 00:39:52.740 Miguel de Veyra: Okay, okay, I need to do that.

360 00:40:07.570 00:40:10.470 Uttam Kumaran: this is weird because I can’t bring in.

361 00:40:16.370 00:40:18.309 Uttam Kumaran: Let me see if this works at all.

362 00:40:34.590 00:40:36.190 Uttam Kumaran: Okay, cool there it is.

363 00:41:05.590 00:41:07.709 Uttam Kumaran: So, for example, this has nothing in here.

364 00:41:07.990 00:41:13.800 Uttam Kumaran: So an ll like automation would flag this saying to me.

365 00:41:13.910 00:41:16.460 Uttam Kumaran: Hey, you! You created this ticket.

366 00:41:16.800 00:41:21.649 Uttam Kumaran: and there’s not. There’s no information. You should go update this. So this is for all for project management.

367 00:41:21.950 00:41:25.370 Uttam Kumaran: Okay, so second thing, second thing is around due date monitoring.

368 00:41:25.620 00:41:32.629 Uttam Kumaran: So helping our Pm sort of track when things are due and tell them, Hey, these things are due. You should go follow up on these things. Yeah.

369 00:41:32.830 00:41:38.230 Uttam Kumaran: 3rd thing is weekly updates. So automate the generation of weekly end of end of week updates.

370 00:41:38.890 00:41:39.560 Miguel de Veyra: Yeah.

371 00:41:40.020 00:41:41.969 Uttam Kumaran: What tickets have been completed.

372 00:41:42.518 00:41:45.090 Uttam Kumaran: I don’t care about meeting scheduling

373 00:41:46.570 00:41:50.367 Uttam Kumaran: I don’t care about communication triggers, and I don’t care about this one.

374 00:41:50.660 00:41:52.959 Miguel de Veyra: For the 1st one, Luton, you can also add.

375 00:41:53.070 00:41:58.199 Miguel de Veyra: like, for example, if it’s not only if it’s empty, but also if it’s like, you know.

376 00:41:58.430 00:42:00.760 Miguel de Veyra: it’s not a good content inside of it.

377 00:42:01.200 00:42:03.920 Miguel de Veyra: Some of just tables.

378 00:42:09.350 00:42:16.200 Miguel de Veyra: you know. Basically, you know, is there? Confirm good enough.

379 00:42:22.860 00:42:26.829 Uttam Kumaran: And then a couple of other ones that were good was like automating the grooming.

380 00:42:28.040 00:42:34.529 Uttam Kumaran: Basically you I I was kind of thinking like it would be fun to go in here and be like cool. I have this

381 00:42:34.720 00:42:40.470 Uttam Kumaran: like at bot like, please groom this ticket.

382 00:42:41.090 00:42:42.080 Mustafa Raja: Oh.

383 00:42:46.660 00:42:47.549 Mustafa Raja: this is a good idea.

384 00:42:47.550 00:42:48.559 Uttam Kumaran: You see what I mean?

385 00:42:49.905 00:42:51.739 Miguel de Veyra: Sorry! What happened? I was distracted.

386 00:42:53.415 00:42:53.650 Miguel de Veyra: But.

387 00:42:53.650 00:42:54.209 Uttam Kumaran: I meant like.

388 00:42:54.210 00:42:55.499 Miguel de Veyra: I’m going to break up.

389 00:42:55.500 00:42:57.499 Uttam Kumaran: Let’s say we’re let’s say we’re talking about this ticket.

390 00:42:57.500 00:42:57.990 Miguel de Veyra: Yeah.

391 00:42:57.990 00:43:00.790 Uttam Kumaran: I want to go here and say at like groom, bot.

392 00:43:01.030 00:43:01.620 Miguel de Veyra: Yeah.

393 00:43:01.620 00:43:03.200 Uttam Kumaran: Room. This ticket right.

394 00:43:04.007 00:43:05.080 Miguel de Veyra: Yeah. Yeah. Yeah.

395 00:43:05.080 00:43:08.240 Uttam Kumaran: And then it goes and edits this live.

396 00:43:08.790 00:43:10.120 Miguel de Veyra: Oh, that can be done!

397 00:43:11.020 00:43:11.680 Uttam Kumaran: Yeah.

398 00:43:11.820 00:43:14.100 Miguel de Veyra: Nice? Yeah, yeah, definitely there.

399 00:43:15.220 00:43:17.860 Miguel de Veyra: But where? Where will the information come from? Then?

400 00:43:19.780 00:43:24.270 Uttam Kumaran: Well, Dude, I mean. No, let’s say you have. Let’s say we’re in the meeting, and I have like 10 notes.

401 00:43:25.076 00:43:25.710 Miguel de Veyra: Okay. Okay.

402 00:43:25.710 00:43:31.750 Uttam Kumaran: And then I like, instead of because what I would do is I would take this, and I’m gonna go into chat, Gpt, and I put it in my

403 00:43:32.060 00:43:33.519 Uttam Kumaran: ticket. Creator, that’s great.

404 00:43:33.520 00:43:34.000 Uttam Kumaran: Get it.

405 00:43:34.000 00:43:34.360 Miguel de Veyra: They’re going.

406 00:43:34.360 00:43:35.400 Uttam Kumaran: That all here.

407 00:43:35.520 00:43:36.660 Miguel de Veyra: Yeah, yeah, okay.

408 00:43:37.620 00:43:42.920 Uttam Kumaran: Yeah. So room ticket by tagging.

409 00:43:42.920 00:43:45.190 Miguel de Veyra: I kinda wanna handle this to be honest.

410 00:43:47.690 00:43:50.740 Uttam Kumaran: Fly and work. First, st please, yeah, yeah, of course.

411 00:43:52.722 00:43:58.920 Uttam Kumaran: We’ll plan this out a little bit more like I wanna I wanna do a little bit more sketching of like what this is gonna look like. But

412 00:43:59.430 00:44:01.130 Uttam Kumaran: so that’s 1 of them.

413 00:44:01.340 00:44:08.139 Uttam Kumaran: The other thing is, I think, predictive analytics for prioritization. Like, I think the grooming ticket should automatically

414 00:44:08.320 00:44:10.640 Uttam Kumaran: be able to like, set an estimate.

415 00:44:11.555 00:44:12.140 Miguel de Veyra: Okay.

416 00:44:23.010 00:44:24.290 Uttam Kumaran: I think.

417 00:44:28.590 00:44:31.920 Uttam Kumaran: yeah, that’s probably the main.

418 00:44:32.420 00:44:34.040 Miguel de Veyra: Oh, yeah, Utah. I’m sorry

419 00:44:34.576 00:44:40.010 Miguel de Veyra: ticket. I don’t think we need a ticket for it, but since I lost my N. 18 account, can you add me.

420 00:44:40.840 00:44:42.049 Uttam Kumaran: Oh, yeah. Yeah.

421 00:44:44.560 00:44:48.009 Miguel de Veyra: I just noticed cause we we moved it to engineering right?

422 00:44:49.650 00:44:50.290 Uttam Kumaran: Yeah.

423 00:44:55.731 00:44:57.378 Uttam Kumaran: and then there was

424 00:44:59.700 00:45:01.149 Uttam Kumaran: This one, I think, is.

425 00:46:14.570 00:46:20.730 Miguel de Veyra: What am I moving the Ios freeze thing into in progress in cool parts.

426 00:47:17.180 00:47:18.550 Uttam Kumaran: Sorry. Can you guys hear me?

427 00:47:19.070 00:47:19.700 Mustafa Raja: Yeah.

428 00:47:20.290 00:47:24.379 Uttam Kumaran: Okay. Sorry I was asking if if this makes sense.

429 00:47:43.670 00:47:47.530 Miguel de Veyra: Hey? The channel? Maybe AI test. So just things to go.

430 00:47:57.070 00:47:59.149 Uttam Kumaran: And this is really the core thing.

431 00:47:59.150 00:48:02.040 Miguel de Veyra: Implement an approval mechanism for our use.

432 00:48:05.500 00:48:08.119 Uttam Kumaran: No, I cannot color. But yeah.

433 00:48:28.090 00:48:31.490 Uttam Kumaran: so this is something I think we can work on, and then

434 00:48:34.840 00:48:37.444 Uttam Kumaran: I have a few others. But let me.

435 00:48:39.540 00:48:45.810 Uttam Kumaran: let me work on that. So basically, we’re gonna work on a couple of different Pm, related automations

436 00:48:46.400 00:48:47.829 Uttam Kumaran: like helping with

437 00:48:48.070 00:48:53.900 Uttam Kumaran: weekly client summaries helping to groom helping to remind the Pm’s of like what to follow up on

438 00:48:56.830 00:48:58.879 Uttam Kumaran: and then sort of go from there.

439 00:49:02.540 00:49:10.260 Uttam Kumaran: So I think we’ll I’ll I’ll probably do another meeting on Friday, where we talk up through these, and then we can plan for next week. On Friday.

440 00:49:14.920 00:49:15.590 Mustafa Raja: Yeah.

441 00:49:17.210 00:49:17.830 Uttam Kumaran: Okay.

442 00:49:20.750 00:49:22.959 Uttam Kumaran: Okay. Cool. Anything. Else.

443 00:49:25.243 00:49:26.879 Miguel de Veyra: No, I think that’s pretty much it.

444 00:49:27.640 00:49:31.340 Casie Aviles: Oh, for for otr. By the way,

445 00:49:33.780 00:49:39.080 Casie Aviles: we don’t have like a a meeting earlier, so do I. Do you want me to send like an invite later.

446 00:49:40.399 00:49:43.390 Uttam Kumaran: Yeah, let me let me text him and see if he’s free.

447 00:49:43.800 00:49:44.900 Casie Aviles: Oh, okay. Okay.

448 00:49:49.430 00:49:50.450 Uttam Kumaran: Okay, perfect.

449 00:49:52.390 00:49:54.410 Uttam Kumaran: Okay. Thank you. Guys.

450 00:49:54.780 00:49:56.340 Miguel de Veyra: Okay, thanks. Everyone. Have a good day.

451 00:49:56.340 00:49:57.040 Casie Aviles: Thank you.