Meeting Title: Brainforge Engineering Sync Date: 2024-12-17 Meeting participants: Luke Daque, Uttam Kumaran, Miguel De Veyra, Casie Aviles


WEBVTT

1 00:02:37.430 00:02:38.570 Uttam Kumaran: Hey, Miguel.

2 00:02:40.660 00:02:41.500 Miguel de Veyra: Hey! With them!

3 00:02:41.970 00:02:43.019 Uttam Kumaran: Hey! How are you?

4 00:02:44.095 00:02:45.919 Miguel de Veyra: Yeah, we’re doing okay.

5 00:02:47.080 00:02:47.900 Miguel de Veyra: A, okay?

6 00:02:47.900 00:02:48.880 Uttam Kumaran: How’s the day going.

7 00:02:50.616 00:02:52.549 Miguel de Veyra: It was a bit rough.

8 00:02:53.240 00:02:53.990 Uttam Kumaran: Oh, yeah.

9 00:02:53.990 00:03:02.410 Miguel de Veyra: Yeah, because my sister called me like 2, 3 pm. You know she wanted to meet. Then I thought there was an emergency. She just wanted to go shopping.

10 00:03:03.360 00:03:03.880 Uttam Kumaran: Oh, shit.

11 00:03:03.880 00:03:06.439 Miguel de Veyra: So I had to spend like money there.

12 00:03:08.100 00:03:09.220 Uttam Kumaran: Oh, shit. Okay.

13 00:03:09.598 00:03:15.409 Miguel de Veyra: But that was fun, cause she’s gonna go to like her prom like in 2 months.

14 00:03:15.690 00:03:19.149 Miguel de Veyra: If you wanted some jewelry, some extra stuff as long as you.

15 00:03:19.150 00:03:20.290 Uttam Kumaran: Don’t have a date.

16 00:03:23.070 00:03:25.740 Miguel de Veyra: Cause. She’s like the youngest out of 5. So you know.

17 00:03:28.520 00:03:30.099 Uttam Kumaran: You have 5 siblings. Wow! That’s.

18 00:03:30.100 00:03:34.010 Miguel de Veyra: Oh, no, no! Sorry 4 siblings. I’m the oldest. She’s the youngest.

19 00:03:34.010 00:03:38.060 Uttam Kumaran: Hmm, okay. Cool.

20 00:03:38.320 00:03:46.779 Miguel de Veyra: I was actually talking to one of my sisters, the 4th one. I am my 4th sibling the other day, and she’s like very interested to go into

21 00:03:47.670 00:03:49.669 Miguel de Veyra: data engineering stuff.

22 00:03:50.300 00:03:51.580 Uttam Kumaran: No way. Okay.

23 00:03:57.240 00:04:00.039 Uttam Kumaran: you should encourage her. There’s a lot of work in data.

24 00:04:00.780 00:04:06.590 Miguel de Veyra: Yeah, I mean, like AI, and data will be probably like a 2 best fields to work in.

25 00:04:06.960 00:04:07.550 Uttam Kumaran: Yeah.

26 00:04:07.550 00:04:11.029 Miguel de Veyra: And security, of course, but security is always different.

27 00:04:12.980 00:04:15.249 Uttam Kumaran: I have a connection into security

28 00:04:15.510 00:04:18.120 Uttam Kumaran: in the Philippines, if you need it. If she’s interested.

29 00:04:19.089 00:04:21.009 Miguel de Veyra: Oh, yeah, one of my other sisters.

30 00:04:22.186 00:04:25.779 Miguel de Veyra: She’s all she. I think she was hired by Austin Company.

31 00:04:27.130 00:04:27.980 Uttam Kumaran: Oh, okay.

32 00:04:28.650 00:04:32.540 Miguel de Veyra: I forgot which one. It’s basically some sort of construction company.

33 00:04:34.170 00:04:35.799 Uttam Kumaran: Oh! Is it called on Procore.

34 00:04:37.320 00:04:40.680 Miguel de Veyra: I think. Yeah, was the in-house.

35 00:04:40.680 00:04:42.360 Uttam Kumaran: Some offices here in Austin.

36 00:04:42.670 00:04:46.680 Miguel de Veyra: Yeah, cause they didn’t have. My sister told me. They in house the entire tech stuff.

37 00:04:47.090 00:04:52.690 Miguel de Veyra: which is like, you know, not normal, for like construction company.

38 00:04:53.170 00:04:53.770 Uttam Kumaran: Yeah.

39 00:04:55.290 00:04:57.190 Miguel de Veyra: Like. It’s the 1st time I’ve seen that.

40 00:04:59.690 00:05:05.499 Uttam Kumaran: There. Yeah, I think pro core is a, it’s like, almost like a software company. If that’s the right company we’re talking about, then, yeah.

41 00:05:05.920 00:05:09.520 Uttam Kumaran: but it’s tough for them, like they they try to be a tech company. But then

42 00:05:11.790 00:05:13.040 Uttam Kumaran: oh, no, it’s not easy.

43 00:05:13.560 00:05:17.139 Miguel de Veyra: Yeah, having 2 business models, as in place.

44 00:05:17.480 00:05:18.840 Uttam Kumaran: Yeah, it’s not easy at all.

45 00:05:22.520 00:05:23.500 Uttam Kumaran: Hi, everyone.

46 00:05:23.910 00:05:24.676 Miguel de Veyra: Hey, guys.

47 00:05:27.280 00:05:27.890 Casie Aviles: A.

48 00:05:29.510 00:05:30.120 Uttam Kumaran: A.

49 00:05:30.580 00:05:30.920 Luke Daque: So.

50 00:05:32.270 00:05:33.150 Uttam Kumaran: What’s up?

51 00:05:35.363 00:05:40.750 Uttam Kumaran: Cool. So I’m just looking at our sync from last week. And so.

52 00:05:42.370 00:05:46.819 Uttam Kumaran: for the most part, you know all the things that we wanted on

53 00:05:47.633 00:05:51.770 Uttam Kumaran: task types are done. So we we started using

54 00:05:51.990 00:05:54.820 Uttam Kumaran: the project board for things on the AI side.

55 00:05:55.120 00:05:55.930 Uttam Kumaran: So

56 00:05:57.500 00:06:04.990 Uttam Kumaran: I guess I was also gonna ask Ryan, how are you feeling like organization wise on the data side? Because I feel like a lot of the stuff that we talked about last time

57 00:06:05.570 00:06:09.460 Uttam Kumaran: in terms of task types and trying to use notion.

58 00:06:09.590 00:06:12.509 Uttam Kumaran: We’ve kind of like, you know. I think we’ve done a good job on.

59 00:06:12.990 00:06:16.420 Luke Daque: Yeah, we’ve tried our best, like, well, between

60 00:06:17.160 00:06:23.969 Luke Daque: Nicholas Payas and and me like to utilize notion. And like, yeah, the task types as well, categorizations and stuff.

61 00:06:24.300 00:06:26.930 Luke Daque: Yeah, I think we’ve been doing well so far.

62 00:06:27.400 00:06:31.749 Luke Daque: So yeah, we can, we’ll definitely continue with with that.

63 00:06:32.000 00:06:33.430 Luke Daque: Okay, yeah.

64 00:06:36.860 00:06:41.690 Uttam Kumaran: You know, this is our 1st week using it on the AI side. So I think we’ll probably have more feedback

65 00:06:42.120 00:06:42.930 Uttam Kumaran: later.

66 00:06:42.930 00:06:43.660 Miguel de Veyra: Yeah.

67 00:06:44.310 00:06:49.850 Luke Daque: Nice, I guess. Yeah, I just, you know, this is our weekly sync. So.

68 00:06:50.020 00:06:56.300 Uttam Kumaran: Anything broadly. You know, we want to talk about or we want to get feedback on

69 00:06:56.805 00:06:58.479 Uttam Kumaran: I have a few topics.

70 00:07:00.400 00:07:06.349 Uttam Kumaran: but yeah, I guess I’ll give the floor to you guys. There’s anything on the engineering side we want to talk about as a crew.

71 00:07:09.150 00:07:14.319 Miguel de Veyra: It’s a bit like, you know, the the week just started technically. So.

72 00:07:14.740 00:07:23.010 Miguel de Veyra: not really a lot. But we did like something. I would say something big with Casey earlier. We hopped on the call. We recorded it with them. By the way.

73 00:07:23.523 00:07:25.930 Miguel de Veyra: we basically migrated one of the agents

74 00:07:26.430 00:07:31.850 Miguel de Veyra: already from, you know any then? And then what we were you know.

75 00:07:32.120 00:07:36.759 Miguel de Veyra: doing earlier was trying to basically connect them.

76 00:07:37.110 00:07:46.919 Miguel de Veyra: basically a multi agent system. And we were also able to do that. Casey, if you, if you want to demonstrate cause, I know with them. You saw it in like the internal agents. But

77 00:07:49.040 00:07:51.929 Miguel de Veyra: yeah, I think it’s better to demonstrate how it works. Casey.

78 00:07:52.550 00:07:56.999 Casie Aviles: Okay, yeah, sure, I mean, yeah, I could share my screen if you guys can.

79 00:07:59.350 00:08:02.650 Casie Aviles: Yeah. So basically, I can just show the

80 00:08:02.750 00:08:04.719 Casie Aviles: they call this how it’s built.

81 00:08:05.470 00:08:13.570 Casie Aviles: And I think, yeah, this is good for like, also with the Central Brainforge agent that we were that we wanted to do like

82 00:08:14.230 00:08:18.050 Casie Aviles: because we could call like, have, we could have sub agents

83 00:08:18.380 00:08:25.349 Casie Aviles: so we could. We could have our lead research agent as a sub agent, and then other kind, other internal agents.

84 00:08:25.840 00:08:31.049 Casie Aviles: So, and then we have this one, which is kind of like the the main, the Router agent.

85 00:08:31.820 00:08:38.240 Casie Aviles: I’ve said agent so much. But yeah, how it works is

86 00:08:41.210 00:08:47.969 Casie Aviles: earlier. We connected the ABC home best 4 of to the

87 00:08:48.420 00:08:53.319 Casie Aviles: to the this one, right? As you can see ABC tool. So

88 00:08:53.720 00:08:59.240 Casie Aviles: we how we test is just, you know, also on slack. But and another is.

89 00:08:59.560 00:09:01.330 Miguel de Veyra: Through. Postman. Yeah.

90 00:09:02.250 00:09:04.670 Casie Aviles: And basically, we just ask something like this.

91 00:09:06.840 00:09:10.490 Casie Aviles: And then you should see here in the executions.

92 00:09:13.527 00:09:18.930 Casie Aviles: Yeah, it’s running. And we see here that it’s running both workflows. So the internal agent

93 00:09:19.170 00:09:23.280 Casie Aviles: workflow and the ABC. Home pest workflow.

94 00:09:23.820 00:09:26.569 Casie Aviles: So we can inspect how it went.

95 00:09:30.640 00:09:34.200 Casie Aviles: But yeah, here’s here’s the prompt. But

96 00:09:35.019 00:09:42.989 Casie Aviles: it’s using, it’s it’s using the instructions I gave for, like the lead research agent, like with the company overview. But

97 00:09:43.660 00:09:47.250 Casie Aviles: the the good thing is that it’s working. Because

98 00:09:47.650 00:09:50.160 Casie Aviles: that was we were figuring it out earlier.

99 00:09:50.580 00:09:54.080 Casie Aviles: So yeah, I think this will happened.

100 00:09:54.370 00:09:58.409 Casie Aviles: Yeah, this is a good thing, because it’s going to give us more options with.

101 00:09:58.610 00:10:03.200 Casie Aviles: you know, with stringing together different agents and also tools.

102 00:10:03.660 00:10:04.580 Casie Aviles: So yeah.

103 00:10:05.304 00:10:10.650 Miguel de Veyra: Yeah. And then, Casey, I think, can you show the middle one? Okay, it turns off.

104 00:10:10.850 00:10:11.759 Casie Aviles: Oh, sure! Sure!

105 00:10:15.710 00:10:18.070 Miguel de Veyra: So basically uttan, we?

106 00:10:19.080 00:10:19.860 Miguel de Veyra: Okay.

107 00:10:22.080 00:10:39.090 Miguel de Veyra: yeah, it’s gonna look something, you know, like this, this is for just documenting. I started this like a couple of hours ago while we were testing stuff out. And then the big thing about this is where we will put the Evals me right now we want to, you know. Try trace loop because we can work with them already.

108 00:10:40.050 00:10:41.310 Miguel de Veyra: So

109 00:10:41.460 00:10:47.709 Miguel de Veyra: which I I reckon, in case it’s gonna be here right before the trigger, I after the trigger and before the response.

110 00:10:49.560 00:10:51.689 Casie Aviles: Yeah, I I guess like we could

111 00:10:51.990 00:11:03.999 Casie Aviles: still explore that, because I did hop on a call with them before, but it was on a different kind of setup. So I’m not sure if we could. It’s going to work again with this. But.

112 00:11:04.000 00:11:09.889 Miguel de Veyra: I I don’t think it’s gonna work on the sub agents. It has to work on the one where it’s responding.

113 00:11:09.890 00:11:14.850 Uttam Kumaran: But the sub agents may call the Apis also. So like, we want to track that too. Right?

114 00:11:16.800 00:11:18.899 Uttam Kumaran: That’s why I think it does have to be the agent level.

115 00:11:22.480 00:11:27.360 Casie Aviles: Yeah, because how it works is, we basically kind of replace the base URL, but

116 00:11:27.970 00:11:31.099 Casie Aviles: checking right now, if we can, because we have to.

117 00:11:31.530 00:11:34.970 Casie Aviles: Yeah, we replace it with one of their proxies.

118 00:11:37.000 00:11:38.599 Casie Aviles: Proxy Urls.

119 00:11:40.000 00:11:41.600 Casie Aviles: That’s how it would work.

120 00:11:44.870 00:11:48.070 Miguel de Veyra: But yeah, let’s try to get something like the Eval

121 00:11:48.940 00:11:50.950 Miguel de Veyra: like the base first, st and then

122 00:11:51.390 00:11:52.860 Miguel de Veyra: we’ll build it as we go.

123 00:11:53.910 00:11:54.910 Casie Aviles: Yeah.

124 00:12:00.470 00:12:01.370 Casie Aviles: yeah, I think that.

125 00:12:01.370 00:12:03.390 Miguel de Veyra: Oh, yeah, I think that’s it for the AI side.

126 00:12:06.320 00:12:07.180 Uttam Kumaran: Okay, cool.

127 00:12:11.258 00:12:18.900 Uttam Kumaran: Yeah. I think once we, I think the Evals is really the biggest project that I want to see. Sort of like get to the finish line, because then we can start

128 00:12:19.400 00:12:23.650 Uttam Kumaran: thinking about how we want to do alerting and stuff like that. But that’s really really great.

129 00:12:25.916 00:12:26.870 Uttam Kumaran: And anything.

130 00:12:27.120 00:12:30.520 Uttam Kumaran: Luke, on data side.

131 00:12:31.400 00:12:33.560 Luke Daque: Yeah, I guess nothing much. Cause.

132 00:12:34.680 00:12:38.496 Luke Daque: yeah, for the data side for at least for this week. We’re not

133 00:12:39.150 00:12:42.009 Luke Daque: doing any work for Javi coffee until like,

134 00:12:43.630 00:12:49.470 Luke Daque: we have some ta- new tasks like like I I think the do you call this

135 00:12:52.835 00:12:56.749 Luke Daque: they would like re do the contract or something.

136 00:12:56.750 00:12:57.500 Uttam Kumaran: Yeah.

137 00:12:57.500 00:12:58.140 Luke Daque: Yeah.

138 00:12:58.250 00:13:03.630 Luke Daque: So yeah, I’m working mostly on like pool part stuff the remaining tasks that we have.

139 00:13:04.000 00:13:04.980 Uttam Kumaran: There!

140 00:13:05.330 00:13:12.820 Luke Daque: And for the synthetic data, and maybe, like Miguel or Casey, like, if you have time this week, or maybe next week, or depends like.

141 00:13:12.820 00:13:15.999 Uttam Kumaran: I’m gonna meet with you, Ryan, to get the requirements to them.

142 00:13:16.000 00:13:16.550 Miguel de Veyra: Yep.

143 00:13:16.740 00:13:17.250 Luke Daque: Okay.

144 00:13:17.514 00:13:22.535 Uttam Kumaran: So I’m gonna try to grab time this week. I’m just finishing up like a bunch of items today.

145 00:13:23.350 00:13:27.460 Uttam Kumaran: And then basically, I’ll get all the requirements, so I can hand that to them to to work on.

146 00:13:28.150 00:13:28.870 Luke Daque: Nice.

147 00:13:30.350 00:13:33.815 Luke Daque: Yeah, maybe that would be also great if we can have

148 00:13:34.930 00:13:38.020 Luke Daque: Yes, I’m sort of like an 8 N or

149 00:13:38.639 00:13:44.229 Luke Daque: something where we can. It’s it’s re replicable or like, what’s the term.

150 00:13:44.600 00:13:50.331 Luke Daque: Can replicate it right like, the process. So

151 00:13:51.900 00:13:58.080 Luke Daque: so if we need to do, if we need to create other synthetic data for different

152 00:13:58.610 00:14:01.520 Luke Daque: purposes. Then we can, we can utilize that. Yeah.

153 00:14:01.690 00:14:02.330 Uttam Kumaran: Yeah.

154 00:14:03.810 00:14:05.809 Luke Daque: But yeah, that’s essentially it.

155 00:14:10.500 00:14:15.550 Uttam Kumaran: Anything else we wanted to chat about as like a crew

156 00:14:17.740 00:14:23.799 Uttam Kumaran: this week, I mean, I didn’t have a ton I just want. I really just wanted to kind of hear about the Eval stuff and

157 00:14:24.517 00:14:26.820 Uttam Kumaran: I didn’t have much else in terms of

158 00:14:26.970 00:14:30.160 Uttam Kumaran: architecture or anything else to really present.

159 00:14:33.613 00:14:42.219 Miguel de Veyra: Yeah. Is this also like a good time, while we’re also we’re all here. Is this like a good time to bring up the what about the Jdu sent up? You sent me.

160 00:14:42.220 00:14:44.989 Uttam Kumaran: Sure. Yeah, let’s go through with. You can go through with everybody.

161 00:14:45.090 00:14:49.050 Miguel de Veyra: Yeah, because I was, yeah, the job description for like, the.

162 00:14:49.620 00:14:50.270 Miguel de Veyra: So, yeah.

163 00:14:50.860 00:14:51.670 Luke Daque: Cool.

164 00:14:51.840 00:15:01.099 Miguel de Veyra: Yeah. Cause I think what we lack there on the Jd, with them is I wanna add this, the tech stack. Basically, you know the

165 00:15:01.830 00:15:05.649 Miguel de Veyra: selenium Browser base, or something like Browser base.

166 00:15:06.210 00:15:10.600 Miguel de Veyra: I want cause. We want someone who has experience in it ideally. So you know.

167 00:15:11.860 00:15:16.850 Miguel de Veyra: they’re a lot easier to integrate to our team. And yeah.

168 00:15:18.900 00:15:21.660 Miguel de Veyra: but yeah, I’ll add more notes to it.

169 00:15:21.660 00:15:23.888 Uttam Kumaran: Yeah. Do you want to pull it up? We can work on it.

170 00:15:24.060 00:15:32.829 Miguel de Veyra: Okay? Sure, wait. Because it’s somewhere. Recruiting is here.

171 00:15:33.790 00:15:34.570 Miguel de Veyra: Okay?

172 00:15:37.980 00:15:39.080 Miguel de Veyra: So.

173 00:15:45.730 00:15:47.130 Miguel de Veyra: okay, yeah.

174 00:15:54.520 00:15:59.620 Uttam Kumaran: So yeah, I would say, one thing is one just list the tools that are like must have and nice to have.

175 00:16:00.690 00:16:02.750 Uttam Kumaran: That’s a good place to start usually.

176 00:16:13.330 00:16:15.280 Miguel de Veyra: must have skills. I think

177 00:16:20.000 00:16:24.169 Miguel de Veyra: I don’t know. 1%.

178 00:16:34.750 00:16:38.540 Miguel de Veyra: No, no, I think it’s a bad help desk browsers.

179 00:16:51.516 00:16:55.049 Miguel de Veyra: What else 4, 6, I think.

180 00:16:55.820 00:16:58.269 Miguel de Veyra: But it’s just that experience. And

181 00:16:59.210 00:17:04.450 Miguel de Veyra: ideally, I want to move this to python, python, or gas.

182 00:17:06.319 00:17:07.670 Miguel de Veyra: Oh, what else?

183 00:17:19.240 00:17:24.559 Miguel de Veyra: I think that’s pretty much it. I’ll have to review like the code.

184 00:17:25.390 00:17:26.410 Miguel de Veyra: So Python.

185 00:17:26.410 00:17:30.700 Uttam Kumaran: On Js. For list, browser selenium. What about like playwright.

186 00:17:30.700 00:17:32.810 Miguel de Veyra: Yeah, yeah, I was just gonna write that.

187 00:17:34.820 00:17:37.142 Miguel de Veyra: I was sort of new playwright.

188 00:17:39.610 00:17:41.499 Miguel de Veyra: yeah, I think that’s pretty much it.

189 00:17:43.360 00:17:48.820 Miguel de Veyra: And then, you know, I think it’s also good if they have experience. What

190 00:17:49.130 00:17:51.940 Miguel de Veyra: is there like any mention of automation already here?

191 00:17:52.310 00:17:55.582 Uttam Kumaran: Yeah, definitely, something about like scripting or

192 00:17:58.240 00:18:02.040 Uttam Kumaran: like use of github or I don’t know.

193 00:18:02.410 00:18:06.359 Uttam Kumaran: trying to think of other like things that that person may have done.

194 00:18:16.720 00:18:20.279 Miguel de Veyra: Cause. I don’t think we need them to do the app.

195 00:18:23.650 00:18:27.529 Miguel de Veyra: I wouldn’t put the the rag stuff here, because they might think you know.

196 00:18:27.530 00:18:31.200 Uttam Kumaran: Yeah, yeah, that’s boilerplate. You can get rid. You could probably get rid of that.

197 00:18:31.560 00:18:32.310 Miguel de Veyra: Yeah, yeah.

198 00:18:33.275 00:18:36.590 Uttam Kumaran: I was gonna basically take your notes and then just have AI rewrite.

199 00:18:37.130 00:18:37.720 Miguel de Veyra: Yeah.

200 00:18:39.580 00:18:46.219 Luke Daque: Like are all those must have skills, though, like Github, I guess, for AI or.

201 00:18:46.540 00:18:48.628 Miguel de Veyra: Yeah, I mean, yeah, I will translate it.

202 00:18:48.890 00:18:53.819 Luke Daque: Yeah, maybe some somewhere, just like nice to halves, perhaps.

203 00:18:54.660 00:18:57.320 Miguel de Veyra: And no, you can’t have to have no github, node.

204 00:18:59.360 00:19:01.669 Uttam Kumaran: I think you should know how to use Github.

205 00:19:01.670 00:19:03.119 Miguel de Veyra: You should know how to use Github.

206 00:19:03.120 00:19:09.439 Uttam Kumaran: Because so so well for me, that’s 1 is like, just filter out, just filters out a lot of people.

207 00:19:09.917 00:19:13.389 Luke Daque: So I do think that, knowing how to use Github.

208 00:19:13.940 00:19:17.540 Uttam Kumaran: It’s just gonna be something you have to learn, anyway. So right.

209 00:19:20.290 00:19:22.750 Miguel de Veyra: You know. And then things.

210 00:19:23.340 00:19:32.910 Miguel de Veyra: Yeah. Llm, let’s remove this vector. Embeddings. Nope, you won’t be doing this

211 00:19:34.470 00:19:37.970 Miguel de Veyra: just fine. Stay up to date with the latest.

212 00:19:40.220 00:19:43.070 Miguel de Veyra: Stop my stock screen just

213 00:19:47.250 00:19:51.570 Miguel de Veyra: oh, wait! Wait! I think experience in proxies now.

214 00:19:54.260 00:19:55.539 Uttam Kumaran: Yeah, that could be nice to have.

215 00:19:55.540 00:19:57.779 Miguel de Veyra: Yeah, that that is a nice to have, actually.

216 00:20:03.310 00:20:05.060 Miguel de Veyra: Oh, from.

217 00:20:09.060 00:20:11.210 Miguel de Veyra: We’ll just edit this later.

218 00:20:14.570 00:20:17.430 Miguel de Veyra: do we really wanna put 5 years with them? Or.

219 00:20:17.900 00:20:19.369 Uttam Kumaran: No, no, no, I mean.

220 00:20:19.910 00:20:20.660 Miguel de Veyra: Probably 3, now.

221 00:20:22.180 00:20:24.130 Uttam Kumaran: I would say, like minimum 3.

222 00:20:27.350 00:20:29.550 Miguel de Veyra: Because I think 5 will cost a lot of money.

223 00:20:29.930 00:20:32.349 Miguel de Veyra: That’s thinks we are almost

224 00:20:39.110 00:20:42.300 Miguel de Veyra: okay. Yeah, I think this is pretty much it. I’ll think more.

225 00:20:43.030 00:20:44.660 Miguel de Veyra: I’m gonna review this code.

226 00:20:44.980 00:20:46.659 Miguel de Veyra: I’ll actually just pass it through.

227 00:20:50.170 00:20:54.040 Miguel de Veyra: Oh, yeah. And then the other thing is, no, this isn’t the product meeting. Sorry.

228 00:21:03.820 00:21:07.270 Luke Daque: Were you able to connect with Raymond Butam, or like? Did he.

229 00:21:08.630 00:21:12.000 Uttam Kumaran: he did, reply I. It’s on me to follow up with him.

230 00:21:12.210 00:21:13.020 Luke Daque: Cool.

231 00:21:13.475 00:21:16.225 Uttam Kumaran: We’ve tried to grab time over the weekend, but it

232 00:21:16.880 00:21:20.119 Uttam Kumaran: I still need a little bit. I just was not free.

233 00:21:21.020 00:21:21.610 Luke Daque: Cool.

234 00:21:26.670 00:21:27.560 Miguel de Veyra: 15 people.

235 00:21:32.160 00:21:36.760 Miguel de Veyra: Maybe it’s wrong, but I think that’s pretty much it. On this end. Luton.

236 00:21:37.620 00:21:38.310 Uttam Kumaran: Okay.

237 00:21:38.510 00:21:42.679 Miguel de Veyra: Were you able to get in touch with Eddie, or should I reply, Hey

238 00:21:43.694 00:21:44.800 Miguel de Veyra: with them we’ll get in touch.

239 00:21:44.800 00:21:49.280 Uttam Kumaran: I have not gotten in touch with them.

240 00:21:50.246 00:21:53.560 Uttam Kumaran: But I saw your notes. So that’s just on the to do list today.

241 00:21:53.760 00:21:58.600 Miguel de Veyra: Okay. Okay, yeah, I think that’s pretty much it.

242 00:22:01.610 00:22:05.256 Uttam Kumaran: Okay, anything else we wanted to chat about.

243 00:22:06.760 00:22:09.600 Uttam Kumaran: The only other thing is like we. We haven’t been like.

244 00:22:10.000 00:22:18.149 Uttam Kumaran: we haven’t done any strict, like, sort of like review process for engineering work, like doing review meetings or

245 00:22:19.418 00:22:20.849 Uttam Kumaran: things like that. Like.

246 00:22:21.070 00:22:26.799 Uttam Kumaran: I think maybe on the AI team we’ll see as tickets get further down the line how we do reviews

247 00:22:27.030 00:22:30.150 Uttam Kumaran: and on the data team we do have like a Pr review process.

248 00:22:32.330 00:22:36.719 Uttam Kumaran: so that works for them. But this stuff isn’t code, so it’s a little bit harder.

249 00:22:38.680 00:22:43.789 Uttam Kumaran: I think the only other thing that could be interesting is if we wanted to start hosting like brown bags.

250 00:22:44.757 00:22:49.899 Uttam Kumaran: You know, with the team, like people can sort of do like a

251 00:22:50.630 00:22:53.100 Uttam Kumaran: 30 min presentation on a topic

252 00:22:53.390 00:22:56.909 Uttam Kumaran: probably do like 20 min presentation. 10 min. FAQ,

253 00:22:57.670 00:23:00.559 Uttam Kumaran: if anyone’s anyone here interested in in that.

254 00:23:03.600 00:23:04.830 Luke Daque: Yeah, I think, yeah, I think that’d be good.

255 00:23:06.020 00:23:06.540 Uttam Kumaran: Okay.

256 00:23:07.170 00:23:07.890 Luke Daque: Yeah.

257 00:23:09.120 00:23:12.789 Uttam Kumaran: So maybe I’ll think of a couple of potential topics.

258 00:23:13.190 00:23:19.600 Luke Daque: But I think for the brown bag session, though I don’t think it’s just it could just be limited to engineering. So maybe it’s.

259 00:23:19.600 00:23:22.000 Uttam Kumaran: No, I think we’ll invite everybody. Yeah.

260 00:23:22.420 00:23:28.179 Uttam Kumaran: it’ll be, you know. I think it’ll be nice for to to kind of give everyone exposure into what everyone’s doing and.

261 00:23:28.180 00:23:28.770 Luke Daque: Yeah.

262 00:23:28.770 00:23:32.289 Uttam Kumaran: It could be a topic. It could be like a paper. It could be

263 00:23:32.650 00:23:35.819 Uttam Kumaran: like for me. It could be something on like the business side.

264 00:23:36.554 00:23:36.750 Luke Daque: So.

265 00:23:36.750 00:23:41.509 Uttam Kumaran: Think then maybe we’ll we’ll we can talk about that next meeting, and I can plan a few out.

266 00:23:41.760 00:23:44.370 Uttam Kumaran: Or maybe we can start scheduling those.

267 00:23:45.510 00:23:46.220 Luke Daque: Yeah.

268 00:23:50.460 00:23:51.250 Uttam Kumaran: Okay.

269 00:23:52.020 00:23:52.820 Uttam Kumaran: Cool.

270 00:23:54.370 00:23:55.409 Uttam Kumaran: Anything else.

271 00:23:56.928 00:23:58.359 Miguel de Veyra: Marty, and just message.

272 00:23:58.790 00:24:02.690 Miguel de Veyra: I don’t know if you guys have seen it, but I think we can already see the tasks

273 00:24:03.720 00:24:05.479 Miguel de Veyra: before personal dashboard.

274 00:24:06.020 00:24:07.909 Uttam Kumaran: Oh, yeah, do you want to see?

275 00:24:08.910 00:24:10.760 Uttam Kumaran: I don’t know where that is, though.

276 00:24:12.480 00:24:20.320 Miguel de Veyra: Yeah, she just posted it. I’m not sure. Oh, wait! Let me see something. She was tagging me everywhere. Okay, wait. Let me share my screen.

277 00:24:21.540 00:24:23.030 Miguel de Veyra: I think it’s this one.

278 00:24:27.080 00:24:29.840 Uttam Kumaran: Oh, yeah, if you go to personal dashboard.

279 00:24:30.430 00:24:33.120 Miguel de Veyra: Yeah, this one personal tasks.

280 00:24:33.560 00:24:35.090 Uttam Kumaran: Oh, this is kind of nice.

281 00:24:35.410 00:24:36.020 Miguel de Veyra: Yeah.

282 00:24:42.010 00:24:46.791 Uttam Kumaran: You guys, can everyone does everyone know where we are? Let me just share this.

283 00:24:47.590 00:24:48.819 Casie Aviles: Yeah, I also found.

284 00:24:48.820 00:24:49.360 Uttam Kumaran: Chat.

285 00:24:49.950 00:24:51.900 Miguel de Veyra: I think Marian tagged each and everyone.

286 00:24:53.710 00:24:55.589 Miguel de Veyra: Oh, no, he! She assigned it. There.

287 00:25:03.590 00:25:04.699 Uttam Kumaran: Did we get? What else?

288 00:25:06.478 00:25:07.710 Uttam Kumaran: No, she’s part time.

289 00:25:07.870 00:25:09.950 Miguel de Veyra: Oh, she’s been getting it now.

290 00:25:10.370 00:25:12.991 Uttam Kumaran: Yeah, what else would you guys want to see here like

291 00:25:13.771 00:25:19.930 Uttam Kumaran: for me, cause I I see tasks, AI tasks, design tasks and sales tasks.

292 00:25:20.990 00:25:24.790 Uttam Kumaran: But I think for everybody here, it’s mainly just the

293 00:25:25.520 00:25:29.179 Uttam Kumaran: the individual teams like, what else would you guys want to see on this screen?

294 00:25:29.450 00:25:36.060 Uttam Kumaran: Because hopefully, this is the screen that you guys, when you start, you can kind of go in here and make sure everything assigned to you is sort of working.

295 00:25:38.310 00:25:39.170 Miguel de Veyra: And

296 00:25:41.890 00:25:45.666 Miguel de Veyra: I think I can circle, circle back on that. Once I.

297 00:25:46.010 00:25:47.110 Uttam Kumaran: Try to use it.

298 00:25:47.290 00:25:48.670 Miguel de Veyra: Yep, yep, definitely.

299 00:25:49.370 00:25:54.410 Uttam Kumaran: Yeah, if you guys can try to use it this week, Ryan, did you find yours.

300 00:25:54.810 00:25:59.526 Luke Daque: I’m I’m trying to look. I don’t think I see anything yet.

301 00:26:00.270 00:26:05.370 Miguel de Veyra: Oh, wait! Let me check the front, see? Oh, yeah, wait which Ryan.

302 00:26:06.090 00:26:09.620 Uttam Kumaran: Oh, yours is here, but it’s not created yet.

303 00:26:09.880 00:26:12.330 Luke Daque: Yeah, maybe the the data.

304 00:26:14.020 00:26:15.690 Miguel de Veyra: Oh, yeah, there’s it’s empty right now.

305 00:26:16.100 00:26:16.820 Luke Daque: Yeah, it’s not.

306 00:26:16.820 00:26:21.400 Miguel de Veyra: Oh, yeah, maybe maybe you. Because we told Marion yesterday to prioritize the AI.

307 00:26:21.400 00:26:22.700 Uttam Kumaran: Oh, yeah. Yeah. Yeah. Okay.

308 00:26:23.950 00:26:29.820 Luke Daque: But I think she did do something in the data side as well, but not like

309 00:26:30.060 00:26:32.220 Luke Daque: no, no assigned task, for now.

310 00:26:32.900 00:26:36.530 Luke Daque: cause I, I still go to like each client

311 00:26:36.800 00:26:42.040 Luke Daque: and like, look into like what? Like the roadmap? Basically, that’s how I

312 00:26:43.820 00:26:47.389 Luke Daque: plan, like what tasks to work on. Basically

313 00:26:56.450 00:26:56.995 Luke Daque: Hello.

314 00:26:59.310 00:27:00.339 Uttam Kumaran: Okay, that makes sense.

315 00:27:00.680 00:27:01.380 Luke Daque: Oh, yeah.

316 00:27:01.380 00:27:03.979 Miguel de Veyra: For priority this week. How do we set that.

317 00:27:07.940 00:27:12.279 Uttam Kumaran: I think, basically, anything that’s that is due this week. It pushes into there.

318 00:27:12.800 00:27:14.770 Miguel de Veyra: Oh, oh, okay. Okay.

319 00:27:15.450 00:27:18.600 Uttam Kumaran: So like currently you don’t have anything assigned this week.

320 00:27:18.600 00:27:19.680 Miguel de Veyra: I’ll make one.

321 00:27:20.460 00:27:21.869 Miguel de Veyra: I can just delete it.

322 00:27:23.312 00:27:25.600 Miguel de Veyra: It’s a Friday.

323 00:27:27.870 00:27:29.079 Miguel de Veyra: Bring over to your slide.

324 00:27:29.460 00:27:32.410 Miguel de Veyra: Oh, there you go! What if it’s low? Does it still show?

325 00:27:33.130 00:27:35.009 Miguel de Veyra: Oh, okay, only if it’s high.

326 00:27:35.560 00:27:39.500 Uttam Kumaran: So you could. I mean, if we want to change that we can, we can. I can have her change it.

327 00:27:40.480 00:27:41.990 Miguel de Veyra: No, I think this is fine for now.

328 00:27:43.380 00:27:44.190 Miguel de Veyra: Okay.

329 00:27:44.430 00:27:45.750 Uttam Kumaran: I think this looks pretty nice.

330 00:27:45.750 00:27:47.840 Miguel de Veyra: Yeah, that’s what it looks like. Let me delete this line.

331 00:27:48.260 00:27:50.640 Miguel de Veyra: I don’t want to mess up, mess up my dashboard.

332 00:28:01.250 00:28:05.279 Uttam Kumaran: Yeah, we’re almost done with like a ton of notion organization guys. It’s been dope.

333 00:28:06.000 00:28:06.690 Luke Daque: Yeah.

334 00:28:26.020 00:28:29.229 Miguel de Veyra: Autumn. What do you think of moving this meeting like.

335 00:28:30.430 00:28:30.870 Uttam Kumaran: Earlier.

336 00:28:30.870 00:28:33.279 Miguel de Veyra: Later, no later than the week.

337 00:28:33.950 00:28:38.359 Uttam Kumaran: Oh, yeah. When would you guys want to do this? On Thursday, Friday?

338 00:28:38.360 00:28:46.480 Miguel de Veyra: Thursday or Friday, because if it’s Tuesday, we basically had like a day to work on right.

339 00:28:46.740 00:28:47.990 Miguel de Veyra: And then.

340 00:28:47.990 00:28:54.550 Uttam Kumaran: We do it, I mean, I’m down for Thursday or Friday to give you

341 00:28:54.820 00:28:57.240 Uttam Kumaran: Friday. Everybody may be too tired.

342 00:28:57.850 00:28:59.030 Miguel de Veyra: Yes, I’ll be Thursday.

343 00:28:59.630 00:29:03.090 Luke Daque: And Friday. We also have the like weekly, like Host.

344 00:29:03.090 00:29:14.619 Uttam Kumaran: Yeah, I kind of like having every yeah, I kind of like finishing because I still work after the weekly meeting. But I feel like that’s a good wrap to the week. So maybe we’ll move this to Thursday starting next week.

345 00:29:15.920 00:29:21.210 Uttam Kumaran: Well, I guess next week we will be off. But like I’m just gonna move it to Thursday, starting next week.

346 00:29:22.310 00:29:24.638 Luke Daque: Is everybody off the whole week next week.

347 00:29:25.300 00:29:29.269 Miguel de Veyra: I think there’s the only Monday, Tuesday, Wednesday. I’ll be off.

348 00:29:29.270 00:29:32.850 Uttam Kumaran: I don’t think everybody’s out. Yeah.

349 00:29:42.570 00:29:43.470 Uttam Kumaran: okay.

350 00:29:44.790 00:29:50.400 Uttam Kumaran: alright. Well, let’s chat in slack. And then, yeah. Ryan, I’m gonna grab time with you on the synthetic data.

351 00:29:51.150 00:29:51.469 Luke Daque: Join me.

352 00:29:51.470 00:29:55.860 Uttam Kumaran: Just like pushing through all these to do’s that I have. So I should be more free tomorrow.

353 00:29:56.050 00:29:58.070 Miguel de Veyra: Our accounting thanks. Everyone have a good day.

354 00:29:58.070 00:29:59.130 Uttam Kumaran: Thank you. Guys.

355 00:29:59.130 00:30:00.449 Luke Daque: Thanks. Guys, thank you.

356 00:30:00.450 00:30:01.080 Uttam Kumaran: Bye.

357 00:30:01.080 00:30:01.640 Luke Daque: Bye-bye.