Meeting Title: Zoom-Meeting Date: 2024-09-02 Meeting participants: Joshuadeveyra, Uttam Kumaran


WEBVTT

1 00:03:14.610 00:03:16.240 Uttam Kumaran: Hey? Can you hear me? Yep.

2 00:03:16.240 00:03:17.330 joshuadeveyra: Hey? With them! Morning.

3 00:03:17.330 00:03:18.619 Uttam Kumaran: Hey! How are you?

4 00:03:18.710 00:03:19.790 Uttam Kumaran: Good evening!

5 00:03:21.340 00:03:23.331 joshuadeveyra: I’m doing pretty well.

6 00:03:24.670 00:03:26.569 joshuadeveyra: isn’t it? Holiday form?

7 00:03:27.040 00:03:28.970 Uttam Kumaran: It is holiday, but

8 00:03:29.829 00:03:35.429 Uttam Kumaran: no holidays for me until until this business succeeds. So

9 00:03:36.020 00:03:39.750 Uttam Kumaran: I actually was talking to someone. I don’t think I’ve taken a

10 00:03:39.860 00:03:43.809 Uttam Kumaran: vacation in a long time. I’m taking a vacation in October, but

11 00:03:45.640 00:03:47.469 joshuadeveyra: Out of country, or just out of state.

12 00:03:49.210 00:03:53.720 Uttam Kumaran: technically out of country. But I’m actually going to Alaska. You heard of it.

13 00:03:53.720 00:03:56.070 joshuadeveyra: Oh, yeah, yeah, technically.

14 00:03:56.070 00:03:57.547 Uttam Kumaran: Very, very like

15 00:03:58.550 00:04:00.280 Uttam Kumaran: super nature

16 00:04:00.360 00:04:02.129 Uttam Kumaran: focus. Place here in the Us.

17 00:04:02.383 00:04:03.649 joshuadeveyra: Another? Or is it all.

18 00:04:03.650 00:04:08.890 Uttam Kumaran: Yeah, it’s always snowing. It’s like very cold, but it’s like polar bears, whales.

19 00:04:08.890 00:04:09.350 joshuadeveyra: Completely.

20 00:04:09.350 00:04:10.789 Uttam Kumaran: Lot of Nature’s.

21 00:04:10.960 00:04:12.350 joshuadeveyra: How long will you be gone for.

22 00:04:12.810 00:04:13.689 Uttam Kumaran: For a week.

23 00:04:14.110 00:04:14.960 joshuadeveyra: Nice. Yes.

24 00:04:14.960 00:04:18.710 Uttam Kumaran: Sunday to Sunday or Saturday to Sunday. Yeah, basically.

25 00:04:21.211 00:04:30.159 Uttam Kumaran: But cool. Yeah, I guess. So one on the slack ids. Yeah, I’ll get you the slack ids, are you? Gonna are you gonna map it, or what are you gonna do.

26 00:04:30.650 00:04:37.289 joshuadeveyra: Actually after looking at it. I think if we’re gonna do that, it has to be an individual zap for each.

27 00:04:40.150 00:04:40.520 Uttam Kumaran: Percent.

28 00:04:40.520 00:04:46.670 joshuadeveyra: Yeah, cause you can’t like put the id it has. You have. It’s a select option.

29 00:04:46.970 00:04:48.600 joshuadeveyra: You can just type it.

30 00:04:49.200 00:04:55.019 Uttam Kumaran: Oh, you can’t so like, for example, you can’t have relevance. Pick the id and then send it back to Zap.

31 00:04:55.320 00:04:57.299 joshuadeveyra: Yeah, yeah, you can do that.

32 00:04:58.090 00:04:59.160 joshuadeveyra: Cause that that.

33 00:04:59.160 00:04:59.970 Uttam Kumaran: Yeah.

34 00:04:59.970 00:05:06.380 joshuadeveyra: That was the way I was thinking about it. Right? We can just get the Id with the email, since we have the email already.

35 00:05:06.470 00:05:09.080 joshuadeveyra: and then we’ll just send it there. But then.

36 00:05:09.430 00:05:17.219 joshuadeveyra: you know, it’s gonna it’s basically gonna be multiple zaps. So like, I’ll find the best way to do it like the most efficient way to do it.

37 00:05:19.460 00:05:21.910 Uttam Kumaran: I wonder, I wonder if

38 00:05:22.220 00:05:23.539 Uttam Kumaran: the better

39 00:05:24.000 00:05:29.799 Uttam Kumaran: I mean, look there, like, part of it is like, Yeah, I want people to get it. And.

40 00:05:36.060 00:05:38.070 joshuadeveyra: I think you got cut off, or something.

41 00:05:41.230 00:05:42.300 Uttam Kumaran: Hmm.

42 00:05:42.650 00:05:45.179 Uttam Kumaran: I mean, yeah, yeah. Can you hear me now?

43 00:05:45.180 00:05:47.139 joshuadeveyra: Yeah, yeah. A bit lot better. Hello.

44 00:05:49.310 00:05:52.073 Uttam Kumaran: Okay, cool. No, I don’t. Yeah, I think.

45 00:05:52.620 00:05:53.590 Uttam Kumaran: I don’t know. I

46 00:05:54.170 00:05:58.420 Uttam Kumaran: it’s kind of sucks to have ones that have

47 00:06:02.670 00:06:06.159 Uttam Kumaran: one zap per person. I guess it’s not paying for the one that runs.

48 00:06:06.990 00:06:10.139 joshuadeveyra: Yeah, yeah, I mean, it’s not really running unless it’s sending there.

49 00:06:12.340 00:06:15.640 Uttam Kumaran: Okay, I mean, look, we don’t have that. Many people I mean, we probably have like.

50 00:06:16.460 00:06:17.300 Uttam Kumaran: I mean.

51 00:06:18.350 00:06:20.759 Uttam Kumaran: people that are actually in meetings.

52 00:06:20.900 00:06:22.419 joshuadeveyra: Yeah, probably 10, right?

53 00:06:24.350 00:06:29.250 Uttam Kumaran: Yeah, it’s like 6 to 10. But there’s, you know, it’s only like a core group of people that are really in meetings.

54 00:06:29.250 00:06:30.380 joshuadeveyra: Yeah, yeah, yeah.

55 00:06:33.440 00:06:36.089 joshuadeveyra: We can. I guess. Yeah, we can do that.

56 00:06:37.040 00:06:40.999 Uttam Kumaran: Okay, so I’ll get you the I’ll get you the slack ids.

57 00:06:41.000 00:06:43.150 joshuadeveyra: Actually, I can see the slack ids there.

58 00:06:43.660 00:06:45.319 Uttam Kumaran: Yeah, you can just click on the user.

59 00:06:45.320 00:06:50.929 joshuadeveyra: Yeah, yeah, can you just give me like the names of cause I think there’s like 37 people in that zap right now.

60 00:06:51.530 00:06:55.650 Uttam Kumaran: Yeah, if you could just just just start with me, Nico.

61 00:06:56.560 00:06:59.039 Uttam Kumaran: start with. Start with me, Nico, you

62 00:06:59.990 00:07:03.479 Uttam Kumaran: and Patrick, and then let’s just see how it works.

63 00:07:03.830 00:07:05.750 joshuadeveyra: Okay, okay, yeah, sure. Wait. Let me take note of that.

64 00:07:05.750 00:07:06.539 Uttam Kumaran: Set up.

65 00:07:06.700 00:07:09.479 Uttam Kumaran: Yeah, me, you Nico Patrick.

66 00:07:16.950 00:07:19.310 joshuadeveyra: Miko, okay. Yeah.

67 00:07:20.380 00:07:21.260 Uttam Kumaran: And then let’s

68 00:07:22.540 00:07:24.186 Uttam Kumaran: find that

69 00:07:26.540 00:07:28.730 Uttam Kumaran: okay, cool. So that looks, that sounds great.

70 00:07:29.264 00:07:33.610 Uttam Kumaran: I’m gonna work a little bit on the email stuff today, but that

71 00:07:33.770 00:07:34.320 Uttam Kumaran: that

72 00:07:35.550 00:07:38.330 Uttam Kumaran: slack channel is perfect. So I’m glad we closed that out.

73 00:07:40.470 00:07:42.720 Uttam Kumaran: What else? What else we talked about last week.

74 00:07:43.690 00:07:46.670 joshuadeveyra: Generating the github stuff.

75 00:07:48.200 00:07:53.740 Uttam Kumaran: Oh, yeah, I well, I just want I just wanted to see whether you could create the tools.

76 00:07:55.370 00:07:58.260 joshuadeveyra: In relevance.

77 00:07:58.260 00:07:59.020 Uttam Kumaran: Yeah.

78 00:08:02.136 00:08:10.740 joshuadeveyra: I think honestly, it’s a bit complicated, because we we still need like the code stuff right to get the what do you call this, we need to use Graphql.

79 00:08:11.440 00:08:15.191 Uttam Kumaran: No, I think there’s a rest. Api. I sent you the rest. Api

80 00:08:17.480 00:08:20.189 Uttam Kumaran: because we’re just pulling the issues from the repo.

81 00:08:21.650 00:08:24.659 joshuadeveyra: Okay, yeah, yeah. Let me re-explore that this week.

82 00:08:25.800 00:08:30.409 Uttam Kumaran: Yeah, I sent you. It’s just a rest. Api, you need a graphql for the projects.

83 00:08:30.510 00:08:41.850 Uttam Kumaran: But the kind of the architecture is a project is a collection of issues from several repositories. So instead, what we’ll do is we’ll use a rest. Api, and just get the issues from the repositories.

84 00:08:41.890 00:08:43.729 Uttam Kumaran: There’s only 2 that we’re doing.

85 00:08:43.750 00:08:44.880 Uttam Kumaran: But I’ll get you that.

86 00:08:45.890 00:08:48.139 joshuadeveyra: Okay, yeah. I’ll look into it.

87 00:08:48.970 00:08:52.419 Uttam Kumaran: Okay? So that yeah, if you can just write the get.

88 00:08:53.340 00:08:58.650 Uttam Kumaran: if you can write a a get issue tool and then a create issue tool. That would be amazing.

89 00:08:59.860 00:09:01.249 joshuadeveyra: Okay. Okay. Yeah. I’ll.

90 00:09:01.250 00:09:03.680 Uttam Kumaran: And then we could talk about actually how to build the agent. After that.

91 00:09:04.610 00:09:09.480 joshuadeveyra: Yeah, yeah, let’s start simple. And then I think, after that.

92 00:09:09.600 00:09:10.850 joshuadeveyra: oh, yeah, sure. Go ahead.

93 00:09:11.310 00:09:12.580 Uttam Kumaran: No, you go. You are.

94 00:09:13.830 00:09:20.410 joshuadeveyra: Oh, yeah, I was thinking, I thought we were done discussing it. Because I was checking like the AI automations table in notion.

95 00:09:21.770 00:09:29.320 Uttam Kumaran: Yeah, so a couple of things. So one, I want to start to, I want to get all over zoom

96 00:09:29.340 00:09:34.380 Uttam Kumaran: into Google drive. Because right now we’re paying zoom for storage

97 00:09:35.305 00:09:46.579 Uttam Kumaran: and we’re over our like allotted storage. So I want to back up all the zoom transcripts and I want to back up the Zoom transcripts and the zoom

98 00:09:46.650 00:09:49.300 Uttam Kumaran: videos into Google drive.

99 00:09:50.900 00:09:51.820 joshuadeveyra: Okay. Yeah.

100 00:09:53.210 00:09:59.190 Uttam Kumaran: Like, what do you think is the easiest process? So one is, there’s like, there’s all the ones that exist. Currently.

101 00:10:00.700 00:10:04.870 Uttam Kumaran: Second is, I want to. As new videos get uploaded.

102 00:10:05.040 00:10:06.859 Uttam Kumaran: I want to throw them into Google, drive.

103 00:10:10.650 00:10:14.769 joshuadeveyra: Hello, it’s probably gonna do it in Zapier, like for the new videos.

104 00:10:15.060 00:10:16.630 joshuadeveyra: Oh.

105 00:10:17.290 00:10:17.960 joshuadeveyra: yeah, let me.

106 00:10:17.960 00:10:21.199 Uttam Kumaran: Thing is, it’s like you’re dealing with a file, right? So you know.

107 00:10:25.020 00:10:29.810 joshuadeveyra: I’ll check make.com, because I think make is a bit better. In that case.

108 00:10:31.120 00:10:32.927 Uttam Kumaran: Okay, check make

109 00:10:33.710 00:10:40.399 Uttam Kumaran: But yeah, I want to basically back up all of the zoom cause I later on, we’ll start to use that for AI,

110 00:10:40.710 00:10:45.989 Uttam Kumaran: like. What what I’ll do is I’ll hook. We’ll hook the Google drive up as the AI Knowledge Repository.

111 00:10:46.570 00:10:52.950 Uttam Kumaran: And then, you know, when we start doing some interesting things with audio and video. I want all that data to basically be available.

112 00:10:53.956 00:10:58.489 joshuadeveyra: Yeah, that makes sense. How many meetings are we talking about? Like in terms of gigabytes?

113 00:11:00.020 00:11:01.779 Uttam Kumaran: Maybe like 70 gigs.

114 00:11:02.630 00:11:03.540 joshuadeveyra: Okay.

115 00:11:04.877 00:11:07.172 Uttam Kumaran: I mean dude. We meet every day.

116 00:11:07.500 00:11:10.880 joshuadeveyra: Yeah. Okay. Yeah, yeah. I’ll.

117 00:11:12.410 00:11:13.750 joshuadeveyra: okay.

118 00:11:13.750 00:11:16.270 Uttam Kumaran: So the the folder structure is basically like

119 00:11:17.520 00:11:21.139 Uttam Kumaran: ideally, it’s like the day of a meeting.

120 00:11:21.310 00:11:22.579 Uttam Kumaran: And then

121 00:11:24.650 00:11:29.350 Uttam Kumaran: the like title. And then the transcript.

122 00:11:29.660 00:11:32.440 Uttam Kumaran: transcript, audio, file or video file.

123 00:11:33.570 00:11:38.330 joshuadeveyra: Okay. And we wanna do we wanna save everything? Not only the transcript, right?

124 00:11:39.030 00:11:45.979 Uttam Kumaran: Yeah, I want to say, the audio file, video file and transcript, we get all 3 of those pieces from Zoom.

125 00:11:46.040 00:11:50.619 Uttam Kumaran: So you can call the Zoom Api and get the download Urls for each of those.

126 00:11:50.620 00:11:51.570 joshuadeveyra: Yeah, yeah.

127 00:11:53.534 00:11:59.040 joshuadeveyra: Okay. So we want what you want to save transcripts, audios, video files to G drive.

128 00:12:00.150 00:12:02.503 Uttam Kumaran: I think there should be something in

129 00:12:03.070 00:12:04.650 Uttam Kumaran: in the automation

130 00:12:05.690 00:12:07.270 Uttam Kumaran: table for this already.

131 00:12:08.740 00:12:10.999 Uttam Kumaran: but you could just put your notes there, whatever.

132 00:12:11.000 00:12:11.720 joshuadeveyra: Yep, yep.

133 00:12:13.196 00:12:16.400 joshuadeveyra: Yeah. Let me see how we can automate that.

134 00:12:17.410 00:12:22.580 joshuadeveyra: because the last time I tried doing it Zapier has like a maximum of 25 MB.

135 00:12:22.970 00:12:26.640 joshuadeveyra: Per run, and I think one of the meetings was already 300 MB.

136 00:12:27.480 00:12:29.459 Uttam Kumaran: Yeah. So that’s why we’ll have to do.

137 00:12:31.620 00:12:34.920 Uttam Kumaran: Let me make. Otherwise I have some other.

138 00:12:35.950 00:12:39.330 Uttam Kumaran: We can. We can think about some other alternatives.

139 00:12:39.330 00:12:41.630 joshuadeveyra: Worst case scenario. You have to go with it. Worst case.

140 00:12:42.360 00:12:53.869 Uttam Kumaran: No, no, worst case, we’ll run something on our own, or what I’ll do is like, Yeah, I I try to manually do it, or like again, we can. We can even build like if I can build something that it can run on my laptop, too.

141 00:12:54.310 00:13:01.710 Uttam Kumaran: Oh, yeah, I don’t know. We can. We could, we can try something. But yeah, so the thing is is like, when you download the file, there’s gonna be that memory issue

142 00:13:01.780 00:13:12.009 Uttam Kumaran: right? So you need to have some sort of process where that memory, that that file can be held in memory. I mean, we could also try running something like this on replit

143 00:13:12.140 00:13:13.709 Uttam Kumaran: or another thing.

144 00:13:14.350 00:13:17.740 Uttam Kumaran: but poke around, see what you see, what see, what

145 00:13:18.230 00:13:22.740 Uttam Kumaran: do, what you find, and then we can see it doesn’t work there. We can run this and wrap it

146 00:13:23.520 00:13:24.170 Uttam Kumaran: or

147 00:13:24.400 00:13:25.969 Uttam Kumaran: and python somewhere.

148 00:13:26.870 00:13:29.769 joshuadeveyra: Replet, as in REPL, IT.

149 00:13:30.820 00:13:34.590 Uttam Kumaran: Yes, it’s like a kind of a cloud hosting provider, for, like.

150 00:13:35.040 00:13:36.619 Uttam Kumaran: you know, basic scripts.

151 00:13:37.430 00:13:38.480 joshuadeveyra: Yeah, yeah. Okay.

152 00:13:39.510 00:13:42.309 joshuadeveyra: Okay, yeah. I’ll I’ll check that out.

153 00:13:42.470 00:13:43.669 joshuadeveyra: And then.

154 00:13:43.670 00:13:49.280 Uttam Kumaran: The last. The last thing I I’m gonna I want to try. This is, I have a list

155 00:13:49.490 00:13:50.210 Uttam Kumaran: like

156 00:13:50.670 00:13:52.140 Uttam Kumaran: 200,

157 00:13:53.180 00:13:54.810 Uttam Kumaran: and I want to scrape

158 00:13:55.200 00:13:57.240 Uttam Kumaran: all of their websites.

159 00:13:58.071 00:14:02.819 Uttam Kumaran: Basically, like the text, stop the pages and like screenshots like

160 00:14:02.900 00:14:05.930 Uttam Kumaran: any thoughts come to mind on like the best way to do that.

161 00:14:07.030 00:14:10.569 joshuadeveyra: Sorry you got cut off in the beginning. You want to scrape websites of what.

162 00:14:11.590 00:14:14.940 Uttam Kumaran: Of our competitors. I have a list of like a hundred or 200

163 00:14:15.150 00:14:17.099 Uttam Kumaran: of like competitor websites.

164 00:14:17.470 00:14:18.540 joshuadeveyra: Okay, yeah, yeah.

165 00:14:19.350 00:14:21.969 Uttam Kumaran: So I want to try and scrape all of those.

166 00:14:22.040 00:14:24.720 Uttam Kumaran: But I was gonna ask you, like what the best.

167 00:14:25.300 00:14:27.750 Uttam Kumaran: what the best way is basically to do that.

168 00:14:28.000 00:14:29.519 Uttam Kumaran: If you have any ideas.

169 00:14:30.148 00:14:36.549 joshuadeveyra: I wrote something similar before. But I I did it in Javascript. Not really. You know. I ran it in my PC,

170 00:14:37.250 00:14:37.920 joshuadeveyra: it’s a basic.

171 00:14:37.920 00:14:42.549 Uttam Kumaran: Yeah, I mean, like, we could use basically because I want to go through every page on all the sites.

172 00:14:45.220 00:14:49.820 joshuadeveyra: And what’s what’s the like expected result? Like, what’s, the.

173 00:14:49.820 00:14:55.429 Uttam Kumaran: I want to. I want to get like, I mean, basically for every site I want to get screenshots

174 00:14:55.540 00:14:59.600 Uttam Kumaran: of every of all the pages, and then I also want to get

175 00:14:59.810 00:15:02.239 Uttam Kumaran: text output of all the pages.

176 00:15:02.520 00:15:03.210 joshuadeveyra: Okay. Yeah.

177 00:15:03.210 00:15:06.040 Uttam Kumaran: Because I want to use AI basically to help us

178 00:15:06.640 00:15:09.970 Uttam Kumaran: get insights into our competitors.

179 00:15:11.900 00:15:15.929 joshuadeveyra: Okay? Yeah. That that should be doable is that already in motion.

180 00:15:16.700 00:15:18.369 Uttam Kumaran: It’s not already a notion.

181 00:15:18.688 00:15:23.249 Uttam Kumaran: But I’m gonna I’ll send you some interesting things I’ve been reading about how to do that.

182 00:15:23.430 00:15:28.709 Uttam Kumaran: The toughest part is you you got you have to go and navigate the site right? So you have to like find the site map.

183 00:15:28.910 00:15:30.020 Uttam Kumaran: Probably.

184 00:15:30.300 00:15:30.810 joshuadeveyra: Yeah.

185 00:15:30.810 00:15:32.690 Uttam Kumaran: And then like go to every URL.

186 00:15:34.810 00:15:38.519 joshuadeveyra: Yeah, because the one I did before was basically just

187 00:15:39.100 00:15:42.029 joshuadeveyra: what do you call this? We just took screenshots of the homepage.

188 00:15:42.370 00:15:42.860 joshuadeveyra: And yeah.

189 00:15:42.860 00:15:44.450 Uttam Kumaran: But how did you take the screenshot?

190 00:15:44.850 00:15:47.049 joshuadeveyra: Oh, I run a code. Js code.

191 00:15:47.510 00:15:48.440 Uttam Kumaran: Yeah, okay.

192 00:15:49.600 00:15:52.020 joshuadeveyra: And then after that we just save it.

193 00:15:54.240 00:15:56.759 joshuadeveyra: and then pass it to Openai to analyze it.

194 00:15:58.330 00:16:02.489 Uttam Kumaran: Yeah, exactly. So. First, st I want to save everything, because passing it to Openai

195 00:16:02.600 00:16:04.330 Uttam Kumaran: will be pretty easy.

196 00:16:04.570 00:16:05.370 joshuadeveyra: Yeah. Yeah.

197 00:16:11.490 00:16:12.276 joshuadeveyra: Okay. Yeah.

198 00:16:12.670 00:16:13.180 Uttam Kumaran: Of course.

199 00:16:13.180 00:16:15.439 joshuadeveyra: The 3rd priority, right. The 1st one is the zoom.

200 00:16:15.440 00:16:16.910 Uttam Kumaran: That’s a 3rd priority. Yeah.

201 00:16:17.800 00:16:21.409 joshuadeveyra: And then the entry tool for Github. And then this one, okay, yeah, sure.

202 00:16:23.300 00:16:24.560 Uttam Kumaran: Okay, cool.

203 00:16:26.050 00:16:28.920 Uttam Kumaran: yeah. So let’s finish up the Zoom One. And then

204 00:16:29.450 00:16:30.640 Uttam Kumaran: or

205 00:16:30.680 00:16:38.429 Uttam Kumaran: once that’s done the email stuff I’m gonna play or poke around with. But that’s pretty good. And then, yeah, let’s see if we can

206 00:16:39.130 00:16:40.390 Uttam Kumaran: move on to Github.

207 00:16:42.100 00:16:47.070 Uttam Kumaran: and then probably next week I’ll have some stuff on Hubspot, because we’re starting to do some stuff this week.

208 00:16:47.970 00:16:49.070 joshuadeveyra: Okay? Sure, sure.

209 00:16:49.360 00:16:59.460 joshuadeveyra: I’m gonna check also in the relevance. Probably before I we code anything, because I think there should be like, there has to be a way right given how fast ais there has to be.

210 00:16:59.460 00:16:59.790 Uttam Kumaran: Do? I.

211 00:16:59.790 00:17:02.869 joshuadeveyra: Way their AI scrapes the websites and stuff like that.

212 00:17:03.310 00:17:09.309 Uttam Kumaran: Yeah. The only thing I’m worried about is that in relevance one you can’t take a screenshot and 2

213 00:17:09.520 00:17:11.539 Uttam Kumaran: can’t go to every single page.

214 00:17:12.010 00:17:12.740 joshuadeveyra: Yeah, yeah.

215 00:17:12.740 00:17:17.620 Uttam Kumaran: Right. I want to go to every single page on the site which is like you probably have to look up the site map.

216 00:17:21.050 00:17:22.220 joshuadeveyra: Yeah.

217 00:17:22.780 00:17:23.769 joshuadeveyra: or we can

218 00:17:26.140 00:17:27.509 joshuadeveyra: scrape it and then get on.

219 00:17:27.510 00:17:30.590 Uttam Kumaran: I mean, it’s it’s it’s probably worth asking AI

220 00:17:30.670 00:17:31.760 Uttam Kumaran: how to do it.

221 00:17:32.220 00:17:34.280 joshuadeveyra: Yeah, I will. Definitely, I always do.

222 00:17:34.650 00:17:35.620 Uttam Kumaran: Yeah.

223 00:17:35.854 00:17:38.200 joshuadeveyra: Why think, when someone else can do it for you.

224 00:17:38.200 00:17:44.189 Uttam Kumaran: Well, that’s the thing I also did. I want to put. I want to take all the relevant stocks and put it into AI as well.

225 00:17:46.170 00:17:49.409 joshuadeveyra: Oh, you mean, like the tools we’re using, like great documentation for it.

226 00:17:50.470 00:17:56.229 Uttam Kumaran: Yeah, but even more, yeah, that. But also, I wanna take all of the documentation from their

227 00:17:56.490 00:17:58.410 Uttam Kumaran: documentation page

228 00:17:58.690 00:17:59.900 Uttam Kumaran: that way.

229 00:18:00.230 00:18:05.219 Uttam Kumaran: when when someone wants to create a new relevance agent. They can just talk to the relevance

230 00:18:05.350 00:18:07.400 Uttam Kumaran: bought about how to do it.

231 00:18:08.170 00:18:09.909 joshuadeveyra: Yeah, yeah, that makes sense.

232 00:18:10.560 00:18:15.139 Uttam Kumaran: But let me, I’m gonna let me. I’m gonna poke around at some scraping stuff today, and I’ll let you know what I see.

233 00:18:15.330 00:18:16.730 Uttam Kumaran: Okay, that’s fine.

234 00:18:16.810 00:18:21.000 Uttam Kumaran: But yeah, hopefully, we can close this slack the zoom thing. I think that’s probably pretty quick.

235 00:18:21.410 00:18:27.679 joshuadeveyra: Yeah, yeah, I’ll work on that. I’ll just test a bit and then implement. Once we get one done, it should be copy paste for everything.

236 00:18:28.000 00:18:28.819 Uttam Kumaran: Okay. Cool.

237 00:18:32.410 00:18:33.240 Uttam Kumaran: Okay.

238 00:18:33.990 00:18:35.210 Uttam Kumaran: Anything. Else.

239 00:18:36.720 00:18:37.380 joshuadeveyra: Wait.

240 00:18:37.770 00:18:40.920 joshuadeveyra: Oh, yeah. Regarding the salary.

241 00:18:41.720 00:18:45.569 Uttam Kumaran: Yes, so we are waiting on like customer payments right now.

242 00:18:45.640 00:18:48.820 Uttam Kumaran: So right after that, I’m gonna send the wise over.

243 00:18:49.180 00:18:50.229 joshuadeveyra: Okay. Okay. Sure.

244 00:18:50.780 00:18:51.520 joshuadeveyra: Yeah.

245 00:18:52.200 00:18:53.360 Uttam Kumaran: Perfect thanks for asking.

246 00:18:53.770 00:18:55.829 joshuadeveyra: I think that’s pretty much it on my end.

247 00:18:58.380 00:19:01.940 Uttam Kumaran: Okay, cool alright. Well, let’s let’s chat on slack. Let me know if you need anything.

248 00:19:01.940 00:19:03.539 joshuadeveyra: Okay, thanks for your time. Have a good day.

249 00:19:03.540 00:19:04.859 Uttam Kumaran: Okay. Thank you, too.