Meeting Title: Zoom-Meeting Date: 2024-08-20 Meeting participants: Joshuadeveyra, Uttam Kumaran


WEBVTT

1 00:00:54.400 00:00:55.260 joshuadeveyra: Hello! Hello!

2 00:00:59.410 00:01:00.309 Uttam Kumaran: Hey? Can you hear me?

3 00:01:00.620 00:01:02.049 joshuadeveyra: Yep, yep, I can hear you.

4 00:01:02.210 00:01:04.010 Uttam Kumaran: Hey! How are you sorry about the delay?

5 00:01:04.629 00:01:05.889 joshuadeveyra: Yeah, no worries, no worries.

6 00:01:06.189 00:01:11.119 joshuadeveyra: I was. I was actually looking for the zoom link I was like, Wait there, there’s no zoom link attached.

7 00:01:11.350 00:01:13.619 Uttam Kumaran: No, I’m using. I’m using Vimtel.

8 00:01:13.640 00:01:16.510 Uttam Kumaran: I mean, sometimes like the Zoom link doesn’t attach.

9 00:01:16.640 00:01:22.179 Uttam Kumaran: And then my phone, just like I forgot to charge it, and then it just died, and then I was like scrambling.

10 00:01:22.820 00:01:23.810 joshuadeveyra: I see.

11 00:01:24.150 00:01:26.199 joshuadeveyra: Cause I saw you and

12 00:01:26.330 00:01:34.739 joshuadeveyra: I saw you. And what do you call this? What’s his name? Again? Sorry, Nico, yeah. You guys are both offline. So I was like, so I guess it’s holiday. There.

13 00:01:35.318 00:01:42.189 Uttam Kumaran: No, I was online. And then I just like, you know, when your phone’s on 1%, you forget. And then it dies.

14 00:01:42.710 00:01:43.989 joshuadeveyra: Yeah, that’s it.

15 00:01:44.160 00:01:45.809 Uttam Kumaran: I think now

16 00:01:47.066 00:01:48.500 Uttam Kumaran: and everything.

17 00:01:53.180 00:01:54.529 Uttam Kumaran: How’s everything going with you?

18 00:01:55.694 00:01:58.369 joshuadeveyra: Yeah, everything’s fine. I think. You know.

19 00:01:58.390 00:02:00.760 joshuadeveyra: I’ve just been working on the automation part

20 00:02:01.267 00:02:07.350 joshuadeveyra: trying to explore a bit more of the cause. I’ve never really automated github before. Right

21 00:02:08.455 00:02:08.800 joshuadeveyra: so.

22 00:02:08.800 00:02:10.059 Uttam Kumaran: Yeah, it’s a.

23 00:02:10.289 00:02:11.790 Uttam Kumaran: it’s a good job.

24 00:02:12.070 00:02:24.030 Uttam Kumaran: Yeah, there’s gonna be a lot of open areas. And you know, one. Also, like, I’m impressed by your work like it’s kind of the stuff I wanted to do. But I just don’t have like a ton of time.

25 00:02:24.540 00:02:24.800 joshuadeveyra: Yeah.

26 00:02:24.800 00:02:27.569 Uttam Kumaran: So I’m actually really happy that you’re able to.

27 00:02:28.050 00:02:33.800 Uttam Kumaran: you know, manage it and handle it. So it’s actually worked out like, very, very nicely.

28 00:02:34.350 00:02:45.899 Uttam Kumaran: I guess my question was going to be like I wanted maybe wanted to get if we can find something formally and like wanted to get an understanding of like your work hours, and what your availability is like to kind of. Come on the team.

29 00:02:48.535 00:02:50.490 joshuadeveyra: I mean, I’m fine working like.

30 00:02:51.000 00:02:53.189 joshuadeveyra: is it? Is? This is a part time job. No.

31 00:02:53.780 00:03:00.980 Uttam Kumaran: Yeah, it’s part time for now. But again, I’m just interested because I also noticed that maybe you’re are you also part of a team or no.

32 00:03:01.720 00:03:03.910 joshuadeveyra: I I run some government projects.

33 00:03:05.390 00:03:07.610 joshuadeveyra: cause my dad is like our

34 00:03:09.020 00:03:16.379 joshuadeveyra: I I’m sure I’m I’m sure you’re familiar with FBI, like he’s 1 of the higher, higher ranking officials in like that version in the Philippines. So.

35 00:03:16.380 00:03:17.250 Uttam Kumaran: But we do. Have some.

36 00:03:17.250 00:03:21.440 joshuadeveyra: Government projects. Yeah, AI is, yeah, it’s a hobby.

37 00:03:22.110 00:03:31.059 Uttam Kumaran: Are, are you guys in? Are you guys doing AI and stuff for for them, or like, what is your is that is, this is like zapiers of your main line of work, or what.

38 00:03:32.229 00:03:49.890 joshuadeveyra: Yeah, I outside of government. Yeah, it’s, you know, Zapier. Ghl, make, I like make a lot. But in there it’s it’s full coding because our government doesn’t even have databases, man. So we can’t really integrate. You know, you can’t really integrate anything when there’s nothing to integrate to.

39 00:03:50.800 00:03:51.849 Uttam Kumaran: Yeah, okay.

40 00:03:52.320 00:03:58.889 Uttam Kumaran: so like, how how is your are you part of it? Are you guys our team? Cause I saw you guys on Linkedin, there’s like a couple of folks

41 00:03:59.260 00:04:03.580 Uttam Kumaran: you work with. But like as you guys, are you guys a team? Or is it just you? Or what’s this?

42 00:04:03.620 00:04:05.320 Uttam Kumaran: What’s like the structure.

43 00:04:05.730 00:04:09.170 joshuadeveyra: Like, I like, I have a team, though it’s, you know, fully remote. Because.

44 00:04:09.510 00:04:13.280 joshuadeveyra: yeah, as mentioned, you know, my dad kind of handles everything

45 00:04:13.560 00:04:14.290 joshuadeveyra: cool.

46 00:04:14.480 00:04:17.760 joshuadeveyra: Yeah, I just lead the development there, cause it’s in Mernstock.

47 00:04:18.450 00:04:22.899 Uttam Kumaran: Okay, okay? And then what about for the AI stuff? The AI stuff is completely, just like.

48 00:04:23.320 00:04:24.020 Uttam Kumaran: I’m just saying.

49 00:04:25.370 00:04:30.369 joshuadeveyra: AI stuff is like what I do. If I you know it’s cause I need like a

50 00:04:31.113 00:04:43.750 joshuadeveyra: safe just in case it doesn’t work out right? So that’s where I built my career my career out, you know. And they as a yeah, as I mentioned in our like 1st call. I think I’ve been here since 21,

51 00:04:43.890 00:04:45.140 joshuadeveyra: 2021, yeah.

52 00:04:46.400 00:04:53.850 Uttam Kumaran: And then, so like what is like, how do you typically work with clients like, do you typically work on like part time basis is a project based.

53 00:04:53.940 00:05:11.250 Uttam Kumaran: I guess, for me to give you a sense is like, I hire a lot of folks on the on the data side, right? But I hire people like, you know, 1020 h here and there for data work. But this is something that I’m actually like. I think ideally, I bring on someone that’s a full time automation.

54 00:05:11.320 00:05:15.110 Uttam Kumaran: Because I want to automate like the whole business, basically.

55 00:05:15.360 00:05:24.680 Uttam Kumaran: And I think it’s going to start like the 1st layer of everything is going to be like zapier kind of things, and then we’ll kind of probably move the

56 00:05:24.850 00:05:38.729 Uttam Kumaran: something cheaper and a little bit more complicated. And then kind of like, connect more stuff like that’s my vision, for the company is like, you know, I want not. Only I want to do this on sales. But I want to do this on engineering like I, I want to build like fine tune models.

57 00:05:39.029 00:05:45.180 Uttam Kumaran: You know, that can take all of our code and like, write code and do a lot of stuff. So I’m looking to try to bring someone on

58 00:05:45.190 00:05:54.569 Uttam Kumaran: who is like, okay, maybe start part time with us, and then, as the company grows like you, either you either come on full time, or you build out a team or something, because.

59 00:05:54.660 00:06:04.630 Uttam Kumaran: frankly, like, I don’t. I want like again. I don’t. I don’t actually think I need a lot of people to run this business, and I want to use every AI tool possible to like, automate it.

60 00:06:04.900 00:06:05.290 joshuadeveyra: Yeah, yeah.

61 00:06:05.290 00:06:06.270 Uttam Kumaran: Which is the vision.

62 00:06:08.540 00:06:15.780 joshuadeveyra: yeah, I, I am, I’m like, yeah, like, I’m, I have a lot of people that’s good in automations and AI

63 00:06:16.410 00:06:17.290 joshuadeveyra: like.

64 00:06:17.500 00:06:24.809 joshuadeveyra: yeah. So eventually, if you you want to build like a team, you know, or something like that, then we can. I can probably recommend some people.

65 00:06:25.260 00:06:25.680 Uttam Kumaran: Okay.

66 00:06:26.303 00:06:26.850 joshuadeveyra: But yeah.

67 00:06:27.950 00:06:28.740 joshuadeveyra: so what?

68 00:06:28.740 00:06:32.760 Uttam Kumaran: Do you think? Yeah, I guess. What do you think about like an initial contract like.

69 00:06:32.810 00:06:40.310 Uttam Kumaran: I guess. Tell me how the works been so far and like I don’t know. I think it would be part time. And then let’s talk about rate and stuff like that.

70 00:06:41.370 00:06:43.519 joshuadeveyra: Yeah, I think it’s gonna be part time for now.

71 00:06:44.400 00:06:46.210 joshuadeveyra: like, initially, we should, you know.

72 00:06:46.866 00:06:48.250 joshuadeveyra: Yeah, do part time.

73 00:06:48.340 00:06:49.820 joshuadeveyra: And then cause

74 00:06:50.486 00:06:51.200 joshuadeveyra: you know.

75 00:06:52.000 00:06:55.419 joshuadeveyra: like, when I was looking through all those Graphql stuff

76 00:06:55.810 00:06:57.500 joshuadeveyra: for Github, right?

77 00:06:57.790 00:07:12.850 joshuadeveyra: Yeah. And there’s there’s always a workaround, you know, to make it easier, and it’s in Zapier. Or if not, if it’s not in Zapier, it’s probably in make, because for the more complicated automation stuff it’s definitely in make. But the thing is make is not connected everywhere, just like Zapier.

78 00:07:13.370 00:07:14.010 Uttam Kumaran: Yeah.

79 00:07:14.300 00:07:23.430 Uttam Kumaran: Yeah. And also, you know, the the nice thing is like, we like, I’m an engineer and my team. There’s some really great github like folks so

80 00:07:23.610 00:07:30.349 Uttam Kumaran: like we could totally just spend like 30 min, and probably like, figure out what the Api calls are.

81 00:07:30.390 00:07:34.049 Uttam Kumaran: or there’s some other workarounds also within Github.

82 00:07:34.060 00:07:35.880 Uttam Kumaran: I can actually send it out

83 00:07:36.570 00:07:37.510 Uttam Kumaran: like

84 00:07:37.880 00:07:50.999 Uttam Kumaran: when an when an issue closes or something, I could send it out to you. And so there’s a bunch of different ways. We could do this, you know, so I guess the main thing, the main thing for me last week was just making sure that like you’re comfortable with all this sort of stuff.

85 00:07:51.909 00:07:52.500 Uttam Kumaran: So.

86 00:07:54.220 00:08:03.810 joshuadeveyra: Yeah, yeah. The only thing like I was pretty, you know, surprised with was Graphql, because I never really coded there before.

87 00:08:04.460 00:08:08.920 Uttam Kumaran: It’s like, Yeah, it’s it’s just like it’s almost. It’s like a different flavor of rest.

88 00:08:09.430 00:08:10.580 joshuadeveyra: Yeah, yeah.

89 00:08:11.000 00:08:11.480 Uttam Kumaran: Yeah.

90 00:08:12.135 00:08:25.570 joshuadeveyra: but yeah, pretty like. So far, everything should be pretty simple, especially when I found everything on, you know, like, Hey, it’s actually on Zapier. So like, yeah. So I don’t want to quote anything that’s already readily available. You know.

91 00:08:25.970 00:08:38.949 Uttam Kumaran: No, no, totally totally. And then, you know, yeah. So I I think that’s awesome. So what do you? What do what is like? Your going rate right now. And let’s say, if you were to start working for like 20 HA week, like, what? What would that look like.

92 00:08:41.627 00:08:44.669 joshuadeveyra: I can do around like this time, maybe. Yeah.

93 00:08:47.949 00:08:55.619 joshuadeveyra: yeah, around this time. And then my going rates, actually from online jobs, right? It starts at around. I think I’m at 15 an hour.

94 00:08:55.960 00:08:56.590 Uttam Kumaran: Okay.

95 00:08:56.990 00:09:00.480 joshuadeveyra: Yeah, so yeah, 20 h. Yeah.

96 00:09:01.580 00:09:08.803 Uttam Kumaran: Okay, so let’s start with that. And then, do you have like a do you want me to send a con contract over? If you have a contract, and then tell me, like what the

97 00:09:09.110 00:09:11.120 Uttam Kumaran: like. Your best payment method is.

98 00:09:11.831 00:09:13.189 joshuadeveyra: Do you guys do wise.

99 00:09:13.570 00:09:14.920 Uttam Kumaran: Yeah, I can do eyes.

100 00:09:15.110 00:09:19.989 joshuadeveyra: Yeah, yeah, let’s do wireless cause if it’s if it’s through. Paypal Paypal takes a lot of, you know.

101 00:09:21.300 00:09:23.129 Uttam Kumaran: Yeah, yeah, yeah, yeah.

102 00:09:23.650 00:09:25.199 Uttam Kumaran: no. Let’s do wise. And then.

103 00:09:26.001 00:09:27.710 Uttam Kumaran: Yeah. I stopped using Paypal

104 00:09:27.900 00:09:28.610 Uttam Kumaran: entirely.

105 00:09:28.610 00:09:29.760 joshuadeveyra: Kind of acts.

106 00:09:29.760 00:09:30.540 Uttam Kumaran: Yeah.

107 00:09:31.030 00:09:32.798 Uttam Kumaran: it’s like a waste.

108 00:09:33.780 00:09:37.940 Uttam Kumaran: Okay, so let’s start with that. Maybe I’ll send like a contract over

109 00:09:38.020 00:09:44.219 Uttam Kumaran: that way. We just have something there and then. Yeah, I mean, ideally, like, if we can do 20 h.

110 00:09:44.580 00:09:50.420 Uttam Kumaran: And then again, my goal is like to get you ramped up, and then also

111 00:09:51.140 00:09:55.604 Uttam Kumaran: either give you more hours and more rate, or give you

112 00:09:56.730 00:09:59.660 Uttam Kumaran: like. Allow you to bring on more people.

113 00:09:59.700 00:10:04.189 Uttam Kumaran: If I want to start with some like key automations, kind of some of the stuff that

114 00:10:04.636 00:10:18.889 Uttam Kumaran: like we just started doing. Now, then, the thing is is like, I’m gonna like, I’m gonna be pretty busy. So I also want you to see whether you can work with Nico and other folks on the team. So I’m gonna add you to some channels.

115 00:10:19.330 00:10:26.819 Uttam Kumaran: And that way you can do that. And then also, I was thinking about getting you like a brain forge email address.

116 00:10:27.280 00:10:28.189 joshuadeveyra: Oh, yeah, that could be better.

117 00:10:28.190 00:10:28.870 Uttam Kumaran: Like.

118 00:10:29.070 00:10:33.231 Uttam Kumaran: yeah, that way for security. Everything is like, just under Brainforge.

119 00:10:33.750 00:10:36.109 Uttam Kumaran: So maybe I’ll do that as well. If that’s okay.

120 00:10:36.310 00:10:36.679 joshuadeveyra: Yeah, yeah.

121 00:10:36.680 00:10:38.840 Uttam Kumaran: It’ll just be a gmail. It’s just a Gmail address.

122 00:10:39.350 00:10:40.180 joshuadeveyra: Okay. Okay.

123 00:10:41.980 00:11:00.699 Uttam Kumaran: Okay, yeah. And then again, like to to kind of like, rehash the whole thing. So basically, we’re right now, really focused on doing like sales and sales related automation. So I’m actually meeting with the whole team today. And I met with them yesterday, basically outlining how we’re going to do sales. But there’s a lot of like copywriting and things like that like writing blog posts.

124 00:11:02.040 00:11:06.989 Uttam Kumaran: You know, you’re going to start to automate. So I’m building the list of things right now.

125 00:11:07.030 00:11:20.359 Uttam Kumaran: I would say, Mo, most important right now is the zoom thing if we can. So I just like, I guess, like I saw the the zoom thing in Zapier. So that’s live. And then, is that getting so? Is that getting published anywhere right now or no?

126 00:11:20.680 00:11:25.480 joshuadeveyra: It’s getting published on our channel. The one I’m part of right now.

127 00:11:26.070 00:11:27.800 Uttam Kumaran: Okay, okay. But then, like

128 00:11:28.050 00:11:33.160 Uttam Kumaran: don’t, because I had some meetings yesterday, but I don’t know whether they got added or did they get added yet.

129 00:11:33.590 00:11:35.802 joshuadeveyra: Yeah, let me check the logs

130 00:11:39.270 00:11:42.359 joshuadeveyra: did you? Is. It was

131 00:11:42.770 00:11:47.750 joshuadeveyra: zoom at autumn autumn@rainforge.com.ai.

132 00:11:48.170 00:11:48.930 Uttam Kumaran: Yeah.

133 00:11:49.360 00:11:54.159 joshuadeveyra: This should be correct were there new cloud recordings for that.

134 00:11:55.472 00:11:58.129 Uttam Kumaran: There should have been a few yesterday. Yeah.

135 00:11:59.110 00:12:03.449 joshuadeveyra: Yeah, let me double check cause yeah, the trigger didn’t trigger it.

136 00:12:04.360 00:12:05.769 joshuadeveyra: Let me double check.

137 00:12:06.470 00:12:07.480 Uttam Kumaran: Yeah. Double checked.

138 00:12:13.760 00:12:15.140 joshuadeveyra: Oh, wait! It did.

139 00:12:20.030 00:12:22.720 Uttam Kumaran: You should see like a sales weekly one.

140 00:12:24.423 00:12:27.249 joshuadeveyra: No! This is autumn, Brainforge weekly Kickoff.

141 00:12:27.640 00:12:28.370 Uttam Kumaran: Oh, yeah. Yeah.

142 00:12:28.370 00:12:28.950 joshuadeveyra: And let’s.

143 00:12:28.950 00:12:29.819 Uttam Kumaran: Take that one

144 00:12:31.410 00:12:35.000 Uttam Kumaran: so Brainford’s Weekly kickoff. Let’s see if that one works.

145 00:12:36.350 00:12:39.289 joshuadeveyra: I’m not sure why. But yeah, let’s see.

146 00:12:40.650 00:12:42.160 Uttam Kumaran: Maybe it’s a relevance thing.

147 00:12:43.330 00:12:44.690 joshuadeveyra: No, it didn’t.

148 00:12:46.165 00:12:48.889 joshuadeveyra: Let’s see, let’s see, continue

149 00:12:49.780 00:12:51.360 joshuadeveyra: continue.

150 00:12:58.073 00:13:02.009 joshuadeveyra: No, because it didn’t trigger at all like like.

151 00:13:02.200 00:13:04.889 joshuadeveyra: Let let me share my screen. Oh, no, I can share a screen here.

152 00:13:05.270 00:13:09.620 Uttam Kumaran: Oh, so so it didn’t Trigger, because probably the Cloud recording thing didn’t work.

153 00:13:10.030 00:13:12.010 joshuadeveyra: Yeah, yeah.

154 00:13:12.130 00:13:13.760 joshuadeveyra: that’s most probably it

155 00:13:14.050 00:13:19.102 joshuadeveyra: cause like the last one I see here is between you and Abigail.

156 00:13:19.880 00:13:20.540 Uttam Kumaran: That’s today.

157 00:13:20.540 00:13:21.510 joshuadeveyra: 45.

158 00:13:22.760 00:13:25.060 Uttam Kumaran: No, that’s that’s on Sunday. That was on Sunday.

159 00:13:25.490 00:13:27.100 joshuadeveyra: Yeah. It was on 16.th

160 00:13:28.610 00:13:29.454 Uttam Kumaran: Okay,

161 00:13:31.050 00:13:35.190 Uttam Kumaran: But you see that the weekly kickoff, the cloud recording succeeded right.

162 00:13:36.000 00:13:38.185 joshuadeveyra: Yep, this one was on

163 00:13:38.590 00:13:41.149 joshuadeveyra: 19. Yes, the weekly kick off. Yeah.

164 00:13:41.150 00:13:43.279 Uttam Kumaran: So that’s why it’s like I don’t know why the

165 00:13:43.530 00:13:45.329 Uttam Kumaran: the Zap didn’t get kicked off.

166 00:13:46.760 00:13:49.430 joshuadeveyra: Yeah, let’s see, it has to stop.

167 00:13:49.650 00:13:57.159 Uttam Kumaran: I mean, we could do also like I could. Still, I could try to do that web hook thing. I just the one thing I needed for the web hook thing is

168 00:13:57.260 00:14:00.599 Uttam Kumaran: you have to send up an off payload back

169 00:14:00.730 00:14:02.510 Uttam Kumaran: for me to verify it.

170 00:14:02.810 00:14:03.939 Uttam Kumaran: That’s the thing.

171 00:14:06.100 00:14:09.190 Uttam Kumaran: You know. Yes, you know. Yesterday we were looking at setting up the zoom web hook.

172 00:14:10.620 00:14:11.480 joshuadeveyra: like.

173 00:14:11.480 00:14:13.179 Uttam Kumaran: New recording.

174 00:14:13.350 00:14:17.020 Uttam Kumaran: the the only I have to verify before it’s allowed to send.

175 00:14:18.450 00:14:19.210 joshuadeveyra: Yeah.

176 00:14:21.430 00:14:22.920 joshuadeveyra: And

177 00:14:23.500 00:14:25.160 joshuadeveyra: I’m not sure why it didn’t. Trigger.

178 00:14:26.820 00:14:30.570 joshuadeveyra: Is this the correct email? No, it’s the correct email, because it’s there.

179 00:14:32.185 00:14:32.909 joshuadeveyra: Ta-da!

180 00:14:33.140 00:14:34.789 Uttam Kumaran: But maybe it’s just like Sunny.

181 00:14:35.930 00:14:38.110 joshuadeveyra: Yeah, let’s check again. History.

182 00:14:43.280 00:14:44.600 joshuadeveyra: Oh.

183 00:14:48.780 00:14:50.859 joshuadeveyra: yeah, it’s not getting any, you know.

184 00:14:52.270 00:14:54.330 joshuadeveyra: There was no runs from yesterday.

185 00:14:55.440 00:14:57.820 Uttam Kumaran: Stop getting anything. Oh, there’s no runs. Okay.

186 00:14:58.590 00:14:58.980 joshuadeveyra: Yeah.

187 00:14:58.980 00:15:03.569 Uttam Kumaran: That’s why I don’t. I don’t know whether that’s like even a web hook like I don’t know what that is.

188 00:15:04.590 00:15:08.159 joshuadeveyra: Is it? Okay, I think this could be the issue, because it says, Here.

189 00:15:08.810 00:15:13.099 joshuadeveyra: wait! Why is this reinforged? AI number 5?

190 00:15:18.140 00:15:20.479 joshuadeveyra: Oh, there you go. There’s new ones.

191 00:15:21.380 00:15:24.649 joshuadeveyra: 19 America, Chicago. What’s the meeting?

192 00:15:27.030 00:15:29.699 joshuadeveyra: But there was definitely a couple of new ones.

193 00:15:30.950 00:15:32.909 Uttam Kumaran: Weekly kick off the sales

194 00:15:33.220 00:15:34.590 Uttam Kumaran: Automation.

195 00:15:35.410 00:15:36.190 joshuadeveyra: Yeah.

196 00:15:36.370 00:15:38.929 joshuadeveyra: Sales automation weekly. I got it here.

197 00:15:39.340 00:15:41.369 Uttam Kumaran: So that’s why I was like, why didn’t that trigger?

198 00:15:42.420 00:15:43.200 Uttam Kumaran: Yeah.

199 00:15:43.200 00:15:45.669 joshuadeveyra: This. This is our personal issues.

200 00:15:45.760 00:15:47.750 joshuadeveyra: No, there isn’t a heat and run

201 00:15:50.050 00:15:51.580 joshuadeveyra: alright. Let me double check.

202 00:16:00.360 00:16:02.240 joshuadeveyra: It’s published

203 00:16:03.790 00:16:06.510 joshuadeveyra: 21 h ago, so it should have gotten I mean.

204 00:16:06.510 00:16:09.339 Uttam Kumaran: This. So this this meeting is going to be recorded, too.

205 00:16:09.370 00:16:12.889 Uttam Kumaran: But you can see after we end it’ll take, maybe like 5 or 10 min.

206 00:16:12.940 00:16:15.719 Uttam Kumaran: and then it’ll get published. It’ll get published.

207 00:16:16.560 00:16:19.320 joshuadeveyra: Yeah, cause I can see sales Automation Weekly here. Now

208 00:16:21.180 00:16:23.430 joshuadeveyra: continue with selected record.

209 00:16:24.450 00:16:28.339 Uttam Kumaran: Okay. So let’s I mean, let’s just see. Let’s see if it doesn’t work. Then let’s do the web hook.

210 00:16:28.860 00:16:29.880 joshuadeveyra: Yeah, yeah, yeah.

211 00:16:30.530 00:16:33.010 joshuadeveyra: Let’s see after this.

212 00:16:33.860 00:16:38.459 joshuadeveyra: Oh, this should. Yeah. Alright, this one.

213 00:16:39.070 00:16:40.929 joshuadeveyra: That’s weird. Why didn’t that trigger?

214 00:16:42.690 00:16:46.529 joshuadeveyra: Okay, yeah. Now, it’s in relevance. It’s processing the sales weekly meeting.

215 00:16:47.020 00:16:47.700 Uttam Kumaran: Okay?

216 00:16:49.150 00:16:53.359 Uttam Kumaran: And then in relevance, is that is that agent shared with everybody.

217 00:16:54.703 00:16:59.080 joshuadeveyra: Yeah, yeah. As long as we’re in the same. Yeah. What do you call this organization?

218 00:16:59.460 00:17:00.429 Uttam Kumaran: Okay. Okay.

219 00:17:03.420 00:17:05.950 joshuadeveyra: It should send once it’s done in here.

220 00:17:09.150 00:17:13.259 joshuadeveyra: But yeah, I’ll definitely I’ll definitely look into that. Why, it didn’t trigger at all.

221 00:17:13.430 00:17:14.240 joshuadeveyra: I mean the.

222 00:17:14.240 00:17:14.700 Uttam Kumaran: And this.

223 00:17:14.700 00:17:19.769 joshuadeveyra: Cause it, cause it got it when for testing, but for some reason it didn’t. Trigger.

224 00:17:19.770 00:17:26.649 Uttam Kumaran: Well, that’s what I’m saying like if it does, if it doesn’t, I think I don’t know whether that’s like a web hook, or I don’t know what that connector really is.

225 00:17:29.570 00:17:30.750 joshuadeveyra: Yeah.

226 00:17:31.404 00:17:34.190 joshuadeveyra: yes, luck Santa Slop. Now.

227 00:17:34.490 00:17:35.210 joshuadeveyra: I think.

228 00:17:35.580 00:17:41.190 Uttam Kumaran: But I guess what I’m what I’m saying is that like, if it’s not if it, if that connector doesn’t work, let’s just switch to Web Hook today.

229 00:17:42.020 00:17:42.450 joshuadeveyra: Okay.

230 00:17:42.450 00:17:46.679 Uttam Kumaran: See, after after this meeting, a new Cloud recording will get published with this meeting.

231 00:17:47.110 00:17:50.259 Uttam Kumaran: So once that’s done, you can. You can check

232 00:17:50.290 00:17:52.570 Uttam Kumaran: that doesn’t work. Let’s just switch to the web hook

233 00:17:52.670 00:17:55.769 Uttam Kumaran: because you’ll get all the information you need from the web hook.

234 00:17:55.860 00:18:00.100 Uttam Kumaran: And then that way we can start using the web hook. I think it’ll be a little bit more

235 00:18:00.340 00:18:01.030 Uttam Kumaran: consistent.

236 00:18:01.030 00:18:02.799 joshuadeveyra: Yeah, yeah, definitely.

237 00:18:04.400 00:18:08.680 Uttam Kumaran: And also if we switch out of Zapier, we can use the web hook in other places.

238 00:18:09.540 00:18:10.330 joshuadeveyra: Okay.

239 00:18:11.181 00:18:21.649 Uttam Kumaran: And then for and then also like, where did you? Where did you do the publish to notion stuff as well? Because I wanted to check that out, cause I’m I’m starting to link all of our meetings into notion.

240 00:18:21.720 00:18:26.129 Uttam Kumaran: So I wanted to see where you wrote that Zap. Or is that also in the same zap.

241 00:18:26.490 00:18:32.129 joshuadeveyra: It’s on the agent like the slack message, and the notion one is on the agent.

242 00:18:32.600 00:18:33.069 Uttam Kumaran: Relevance.

243 00:18:34.180 00:18:34.953 joshuadeveyra: Yes, yes,

244 00:18:35.340 00:18:36.280 Uttam Kumaran: Alright, Guy.

245 00:18:36.280 00:18:37.979 joshuadeveyra: Send a summary to know. Yeah.

246 00:18:38.470 00:18:44.829 Uttam Kumaran: And then like. How do you decide what to do in relevance versus what to do in in notion like? Do you have like a process, or

247 00:18:44.860 00:18:47.530 Uttam Kumaran: like, what? How do you think about the overall architecture.

248 00:18:48.540 00:18:57.090 joshuadeveyra: Trigger. So zapier actions triggers are always zapier right? And then, like minor, you know. For example.

249 00:18:57.290 00:18:59.779 joshuadeveyra: the for example, the Zoom One

250 00:19:00.261 00:19:06.569 joshuadeveyra: so the trigger, the zoom action, and then the after that it goes. Everything goes to relevance.

251 00:19:07.270 00:19:07.940 Uttam Kumaran: Okay.

252 00:19:08.080 00:19:10.210 joshuadeveyra: So it’s just to trigger the relevance. Asian.

253 00:19:11.950 00:19:14.190 joshuadeveyra: I can create a simple workflow.

254 00:19:16.180 00:19:21.650 Uttam Kumaran: No, that makes sense. I just wanna just know the flow cause I wanna do some documentation and.

255 00:19:22.080 00:19:22.500 joshuadeveyra: Yeah, exactly.

256 00:19:22.500 00:19:23.090 Uttam Kumaran: Yeah.

257 00:19:24.690 00:19:29.949 Uttam Kumaran: And then, yeah, I guess the best thing would do is like relevance connects to github right? Probably, or.

258 00:19:32.274 00:19:42.150 joshuadeveyra: Yes, yes, it’s also connected to Github if you could. Also, yeah. By the way, I was gonna ask if you could also connect your chat gpt! Or maybe the company chat gpt into Zapier.

259 00:19:42.150 00:19:44.479 Uttam Kumaran: Oh, sure, yeah, yeah. Okay.

260 00:19:44.910 00:19:47.879 Uttam Kumaran: And then, I was gonna ask also

261 00:19:48.410 00:19:50.090 Uttam Kumaran: for

262 00:19:52.570 00:20:04.389 Uttam Kumaran: One. Sec. My question was about, oh, yeah, like, let’s say, we want to load up like a lot of documents. For example, let’s say, I want to load up an entire code base into like a vector store or something. Where would you do that?

263 00:20:05.930 00:20:08.346 joshuadeveyra: Probably by entertaining our own.

264 00:20:09.240 00:20:11.899 joshuadeveyra: because we in that that way, I think

265 00:20:12.290 00:20:13.400 joshuadeveyra: you have to.

266 00:20:13.400 00:20:19.250 Uttam Kumaran: I give you an example, like I’m to give you an example. Well, here’s what I’m doing like I’m using. Claude projects

267 00:20:19.310 00:20:22.580 Uttam Kumaran: and cloud projects has a 200 K context window.

268 00:20:22.680 00:20:26.070 Uttam Kumaran: so you can upload a lot of files. But sometimes I need more space.

269 00:20:26.320 00:20:31.930 Uttam Kumaran: Right? So I’m thinking about like in flow wise. You can actually connect to like a vector store pretty easily

270 00:20:32.050 00:20:34.779 Uttam Kumaran: and load up like even more documents than that

271 00:20:35.180 00:20:36.010 Uttam Kumaran: like.

272 00:20:36.170 00:20:40.699 Uttam Kumaran: is that what you would suggest, we do that in flow, wise or like. Can you do that in relevance?

273 00:20:41.025 00:20:43.410 Uttam Kumaran: And like, can I still vector store or no.

274 00:20:44.760 00:20:48.129 joshuadeveyra: We can connect to a vector story in relevance.

275 00:20:48.320 00:20:49.390 Uttam Kumaran: Oh, really. Okay.

276 00:20:49.600 00:20:56.369 joshuadeveyra: Yeah, if so, but if it’s a code base, are we really supposed to use a rag there or so? Could we fine tune a model for that specific.

277 00:20:56.370 00:20:56.730 Uttam Kumaran: I would.

278 00:20:56.730 00:20:57.140 joshuadeveyra: Base.

279 00:20:57.140 00:20:58.100 Uttam Kumaran: Would use.

280 00:20:58.560 00:21:02.989 Uttam Kumaran: I mean, I would use rag, because it’s just. It’s not that many files

281 00:21:03.835 00:21:06.090 Uttam Kumaran: like. I would rather fine tune

282 00:21:06.330 00:21:08.229 Uttam Kumaran: a model over like

283 00:21:08.300 00:21:13.549 Uttam Kumaran: a ton of sequel documents. But just to find a file, I think it’s a simple rag.

284 00:21:14.210 00:21:14.770 joshuadeveyra: For example.

285 00:21:14.770 00:21:16.679 Uttam Kumaran: If you’re like, where is this piece of code?

286 00:21:17.010 00:21:19.670 Uttam Kumaran: And we have like a hundred files. That’s just to be

287 00:21:19.680 00:21:23.009 Uttam Kumaran: simple rack like we don’t need to fine tune anything for that. I don’t think.

288 00:21:23.690 00:21:25.350 joshuadeveyra: Yeah, yeah, that that makes sense.

289 00:21:25.920 00:21:28.169 Uttam Kumaran: The way I want to do fine tuning is like

290 00:21:28.200 00:21:38.539 Uttam Kumaran: the eventually I want to fine tune a model to handle all of our communications and all of our coding. Then what we’ll do is load everything into one fine tune model right?

291 00:21:40.500 00:21:42.389 Uttam Kumaran: you know. But that’ll that’s gonna be like

292 00:21:42.420 00:21:43.660 Uttam Kumaran: a lot later.

293 00:21:43.930 00:21:48.690 Uttam Kumaran: For now I just want to know, like, for example, I’m from clod projects. I’m running out of space.

294 00:21:49.160 00:21:51.730 Uttam Kumaran: So I want to know, like what the alternative is.

295 00:21:52.540 00:22:03.619 joshuadeveyra: Yeah, we can definitely do it through relevance. What we could do is, I’m pretty sure, like there’s different like sections, right? So of your code. For example, this is front end. This is for back end.

296 00:22:03.970 00:22:04.909 joshuadeveyra: This is my.

297 00:22:04.910 00:22:13.979 Uttam Kumaran: And I also have, like the I also have the documentation for the different tools. For example, we use snowflake for data. I want to load in all the snowflake docs.

298 00:22:17.140 00:22:24.370 joshuadeveyra: By the way, yeah, you mentioned you’re putting it in Claude. Right? Are you using structured data? Or just, you know, raw text.

299 00:22:25.351 00:22:27.599 Uttam Kumaran: It’s all raw. It’s all Markdown files.

300 00:22:29.066 00:22:29.719 joshuadeveyra: Okay, yeah.

301 00:22:30.300 00:22:30.990 joshuadeveyra: is that.

302 00:22:30.990 00:22:34.559 Uttam Kumaran: Uploading. It’s a project. It’s just like it’s almost like custom. Gpt.

303 00:22:35.270 00:22:37.258 joshuadeveyra: Yeah, yeah, yeah. It’s like.

304 00:22:37.590 00:22:40.210 Uttam Kumaran: It’s kind of it’s not as smart as like if I were to

305 00:22:40.360 00:22:41.869 Uttam Kumaran: do. I go for a microphone.

306 00:22:42.460 00:22:54.940 Uttam Kumaran: Also, I’m trying to think about what the simplest rag will be to do over like our code base. And, for example, like, let’s say, you could load up all the zapier documentation you can then ask questions about how to do things in Zapier. Right? Like.

307 00:22:55.220 00:22:56.869 Uttam Kumaran: think about that for

308 00:22:56.990 00:23:00.950 Uttam Kumaran: our data tools like, I want to load the documentation of the data tools

309 00:23:00.990 00:23:03.570 Uttam Kumaran: into like a rag, basically.

310 00:23:05.250 00:23:07.729 joshuadeveyra: Yeah. Yeah.

311 00:23:08.360 00:23:11.568 joshuadeveyra: yeah, that’s something. Because what we can do. And you know,

312 00:23:11.920 00:23:16.229 joshuadeveyra: relevance is that we can have, for example, in snowflake. And there’s another platform.

313 00:23:16.310 00:23:25.519 joshuadeveyra: So it’s not compiled into one, you know. Context, right? We can have different tools handling that. So we were not limited to say, 200,000 or 1 million context.

314 00:23:25.970 00:23:27.190 Uttam Kumaran: Oh, I see!

315 00:23:27.190 00:23:31.310 joshuadeveyra: Yeah, yeah, we can separate it. It’s and it’s actually pretty simple to do.

316 00:23:32.250 00:23:35.440 Uttam Kumaran: So what? What? How would you handle the Doc? The the documents, though.

317 00:23:35.930 00:23:38.210 joshuadeveyra: I need to see it 1st before I can. Yeah.

318 00:23:38.360 00:23:39.220 joshuadeveyra: okay.

319 00:23:39.420 00:23:42.200 joshuadeveyra: because ideally like, from my experience, right?

320 00:23:42.230 00:23:45.719 joshuadeveyra: If it’s not structured data, it’s really going to be inaccurate.

321 00:23:46.270 00:23:46.950 Uttam Kumaran: Okay.

322 00:23:47.450 00:23:48.130 joshuadeveyra: Yeah.

323 00:23:51.450 00:23:52.420 joshuadeveyra: okay.

324 00:23:52.420 00:23:57.780 Uttam Kumaran: Okay, cool. So yeah, let’s let’s see how the zoom thing works, and then I’ll get you over a contract and stuff.

325 00:23:58.030 00:24:00.790 Uttam Kumaran: Let’s get started. I’m excited. Yeah, this has been great.

326 00:24:00.790 00:24:01.350 joshuadeveyra: Yes.

327 00:24:01.490 00:24:07.509 joshuadeveyra: Okay, yeah. Thanks. So, Tom, yeah, I will. Yeah. Let’s get the Zoom One, you know. Finished up first.st

328 00:24:07.880 00:24:12.580 Uttam Kumaran: Yeah, let’s finish the zoom ones and the zoom to notion. The zoom to notion I can probably

329 00:24:12.810 00:24:13.860 Uttam Kumaran: tweak with

330 00:24:13.930 00:24:18.780 Uttam Kumaran: that way. It’s not too much back and forth. But if you can get the zoom automation, the trigger working.

331 00:24:18.910 00:24:19.570 Uttam Kumaran: that’s.

332 00:24:19.570 00:24:19.990 joshuadeveyra: Yeah, yeah.

333 00:24:19.990 00:24:20.885 Uttam Kumaran: Amazing.

334 00:24:22.500 00:24:25.800 Uttam Kumaran: So check after this meeting it’ll take like 5, 10 min for it to finish.

335 00:24:25.800 00:24:30.699 joshuadeveyra: Okay. Okay, yeah. Let’s see what? Why, you know, it doesn’t happen. Okay.

336 00:24:31.610 00:24:37.199 Uttam Kumaran: Okay, I’ll talk to you in slack. And then also I’ll send you a new email address and stuff. Just give me a few hours. I’m just like in meetings.

337 00:24:37.850 00:24:44.400 joshuadeveyra: Okay, yeah. By the way, Utam, I did tell you last week, right? Did I tell you like, I’m going to be on vacation tomorrow?

338 00:24:44.840 00:24:45.330 joshuadeveyra: Yes.

339 00:24:45.330 00:24:51.720 Uttam Kumaran: Yeah, okay, that’s why I wanted to chat today. But you’re back on. You’ll be back on Monday.

340 00:24:51.720 00:24:52.990 joshuadeveyra: Yeah. Yeah. Monday.

341 00:24:53.640 00:24:55.180 Uttam Kumaran: Okay, okay, yeah. No worries. Yeah. So.

342 00:24:55.180 00:24:56.670 joshuadeveyra: But if something comes up, yeah.

343 00:24:57.600 00:24:58.130 Uttam Kumaran: Yeah, just.

344 00:24:58.130 00:24:58.840 joshuadeveyra: Alan! So.

345 00:24:58.840 00:25:02.670 Uttam Kumaran: Let me know if you let me know if that zoom thing doesn’t work because I may try to do it. This weekend

346 00:25:02.690 00:25:04.089 Uttam Kumaran: before you log off

347 00:25:05.440 00:25:08.179 Uttam Kumaran: and then I guess

348 00:25:08.310 00:25:12.860 Uttam Kumaran: I’ll I’ll email you a bunch of stuff. But like don’t worry like, take care of it whenever you come back.

349 00:25:13.300 00:25:17.469 joshuadeveyra: Okay. Okay, yeah, no. I’ll get the Zoom One. Then. Okay, thanks for Tom.

350 00:25:17.980 00:25:19.660 Uttam Kumaran: Okay, thanks. So much. Talk to you soon.

351 00:25:20.350 00:25:21.179 joshuadeveyra: Okay bye, bye.