Meeting Title: Uttam-Kumaran <> Ruzzel-Maestro Date: 2024-08-14 Meeting participants: Ruzzel Maestro, Uttam Kumaran


WEBVTT

1 00:08:10.670 00:08:11.542 Ruzzel Maestro: I don’t know but

2 00:08:14.000 00:08:14.660 Uttam Kumaran: Hot.

3 00:08:15.080 00:08:15.770 Ruzzel Maestro: Hello!

4 00:08:16.120 00:08:17.419 Uttam Kumaran: Hey! How are you?

5 00:08:17.710 00:08:21.499 Ruzzel Maestro: Hey, Tom? Hi! Are! Can I call you Tom?

6 00:08:21.630 00:08:22.949 Ruzzel Maestro: How how do you.

7 00:08:23.780 00:08:25.470 Ruzzel Maestro: hey, Adam? Nice to meet you.

8 00:08:25.810 00:08:27.649 Uttam Kumaran: Hey? Nice to meet you! How’s everything?

9 00:08:28.290 00:08:30.148 Ruzzel Maestro: Yeah, I’m good. I’m good.

10 00:08:31.270 00:08:34.020 Ruzzel Maestro: yeah. It’s it’s really cool, too.

11 00:08:34.559 00:08:38.680 Ruzzel Maestro: to finally get to meet you. We we weren’t able to last time.

12 00:08:39.110 00:08:46.020 Uttam Kumaran: Yeah, thank you. Sorry about the confusion. I was traveling for a wedding, and then I just lost signal. And then

13 00:08:46.370 00:09:00.000 Uttam Kumaran: no, I appreciate that. We were able to reschedule. No, I’m I’m very excited to chat. We’re, you know, a lot of the stuff that you had on your on your profile around, you know, using AI to do. Automation is exactly like the area that we’re in.

14 00:09:00.487 00:09:11.250 Uttam Kumaran: You know you’ve done. You’ve done a lot of stuff across image generation to like orchestration, to things like that, so excited, to chat, to give you a little bit of like kind of where

15 00:09:11.340 00:09:14.960 Uttam Kumaran: we’re at in the company. So Brainforge is a

16 00:09:15.824 00:09:41.709 Uttam Kumaran: Brainforge is a data analytics agency. Basically, we we help clients implement data analytics, do data engineering as well as data modeling and analysis. But we’re right now. We’re in the process of improving our sales funnel. So we are automating everything from Linkedin, messaging to emailing, writing the copy for the personalized messages. And then.

17 00:09:41.930 00:10:08.370 Uttam Kumaran: you know, I’m sure you’re familiar with everything around that. So we’re using like Apollo instantly copy that AI, like all the classic tools, we’re also starting to automate things on the engineering and operation side. So we’re using Claude to write code. We’re using github projects and some workflows basically to do automation and so basically, what I’m looking for is someone to work with us part time on automating the business.

18 00:10:08.693 00:10:22.300 Uttam Kumaran: So you know this, we do have a couple of small projects that I think you know would be great to see whether you know, you have the capability of of tackling that also, whether you like working with us. But I’m

19 00:10:22.300 00:10:50.659 Uttam Kumaran: kind of looking at this role as like someone who’s available part time, you know, just for the foreseeable future. And basically, this role is, you work with me, and you know some of the other leadership in the company to basically understand our process and then automate it, you know. And this may be like looking at. Hey, how do you collect? How do we send end of week reports to our clients. Well, we look at these Github issues. Then I kind of compile this. Okay, cool. That’s something that we can automate

20 00:10:50.660 00:10:55.610 Uttam Kumaran: using flow wise or using, you know, some sort of process.

21 00:10:56.200 00:11:02.009 Uttam Kumaran: so yeah, I’ll kind of stop there like, what do you think? How like, how do you feel when you hear that.

22 00:11:02.640 00:11:04.589 Ruzzel Maestro: Yeah. Well, I think

23 00:11:05.110 00:11:10.890 Ruzzel Maestro: the 1st thing is, I would need to have a better understanding of where you’re currently at

24 00:11:11.310 00:11:13.110 Ruzzel Maestro: in terms of your

25 00:11:13.564 00:11:19.489 Ruzzel Maestro: let’s say, for example, you you want a particular process to be automated right? So

26 00:11:19.710 00:11:27.870 Ruzzel Maestro: I would need to know where in the automation process you’re in right now and then what you actually want to do with it.

27 00:11:28.210 00:11:32.219 Ruzzel Maestro: And that way, you know, I can start thinking about

28 00:11:32.710 00:11:35.829 Ruzzel Maestro: how to do the automation, what what to

29 00:11:35.840 00:11:38.770 Ruzzel Maestro: take care first, st what things to consider.

30 00:11:39.520 00:11:42.870 Uttam Kumaran: Yeah. So you know, I think about the automation.

31 00:11:42.880 00:11:56.360 Uttam Kumaran: as in in categories of like, what part of the company it affects. Right? So we have in our company, we have engineering, which is like writing code. We have writing code deploying code on Github. We have operations which is communications with

32 00:11:56.750 00:12:16.649 Uttam Kumaran: clients. We have writing requirements for our engineers. We have, you know, operations on getting updates from our engineers on the status of different tickets. We also have sales. Sales is everything from top of funnel sales, which is which is pushing content, which is like creating content like

33 00:12:16.670 00:12:30.029 Uttam Kumaran: stock images, videos using AI pushing that to Linkedin Twitter, Instagram, Tiktok, like using buffer. We also have outbound emails. So this is like using AI to help us write these emails.

34 00:12:30.430 00:12:51.519 Uttam Kumaran: So to tell you to give you a sense of like where we are. We’re using AI to help write copy. We’re using AI to help us write case studies. But we’re not using any AI on the engineering side at the moment. We have been using it on the operation side, like, I have, clod, and I have clod projects where I’ve loaded up all the code and all the materials with

35 00:12:51.894 00:13:12.090 Uttam Kumaran: for a given client, and I tell my team to use that. However, I want to go one step like, you know. You know how hard it is to get people to try to do. You know new things with AI. So instead, I kind of need needed to work for them where they’re working when they’re primarily looking at Github. So I want to build some integrations with Github issues.

36 00:13:12.090 00:13:25.570 Uttam Kumaran: So that, for example, there’s a comment. Let’s say the issue hasn’t been updated. You get a you get a comment saying, Hey, we need to update this. You know, there’s different things. So again, this is, this is, gonna be a long process of understanding.

37 00:13:25.570 00:13:26.610 Ruzzel Maestro: Yeah.

38 00:13:26.610 00:13:30.720 Uttam Kumaran: Where the different points of communication are, and leveraging AI

39 00:13:30.920 00:13:33.659 Uttam Kumaran: to to to grab that, you know so.

40 00:13:33.660 00:13:34.640 Ruzzel Maestro: Yeah, through through kind.

41 00:13:35.020 00:13:36.010 Ruzzel Maestro: All together.

42 00:13:36.520 00:13:56.329 Uttam Kumaran: Exactly. And you know, the goal is to automate this business as much as possible. Sales right now is our big is our biggest focus, though. So this is anything from content generation to you know, automating how we personalize messages via email via Linkedin. This is all those things.

43 00:13:56.920 00:14:02.219 Ruzzel Maestro: So you’re you’re doing. You’re you’re trying to get the content generation on

44 00:14:02.370 00:14:03.430 Ruzzel Maestro: on

45 00:14:03.440 00:14:08.320 Ruzzel Maestro: auto, right? How how many people are working on your content generation at the moment.

46 00:14:08.320 00:14:09.420 Uttam Kumaran: It’s just me.

47 00:14:09.990 00:14:14.490 Ruzzel Maestro: Oh, okay, I see. So yeah, we’re we’ve got a lot of wheel room to.

48 00:14:14.780 00:14:18.379 Ruzzel Maestro: We’ve got a lot of work room to work there. So it’s just.

49 00:14:18.380 00:14:19.410 Uttam Kumaran: Totally.

50 00:14:19.410 00:14:20.000 Ruzzel Maestro: Right.

51 00:14:20.550 00:14:35.920 Uttam Kumaran: Yeah. So sales is just basically just me, we have one designer that’s working on the website. But you can consider like all the automation stuff. And I’m an engineer. So like, I’ve been playing around with all these tools, it’s just, I need someone you know, kind of with your skill set. That’s

52 00:14:36.070 00:14:51.499 Uttam Kumaran: and I’m also willing to use every any tool and try anything like there’s no restrictions. The only the only like, I would say, goal is like, I want to basically have a plan where we look at every process that we do and see

53 00:14:51.600 00:14:54.290 Uttam Kumaran: the degree to which we can automate it. You know.

54 00:14:54.290 00:15:00.879 Ruzzel Maestro: Hmm, yeah, I I totally get you. You being how how many people are working in the company right now? So.

55 00:15:00.880 00:15:02.639 Uttam Kumaran: There’s 7 people right now.

56 00:15:02.900 00:15:04.809 Ruzzel Maestro: Oh, we’ve got 7 and.

57 00:15:04.810 00:15:06.669 Uttam Kumaran: And there’s a few interns.

58 00:15:06.960 00:15:10.789 Ruzzel Maestro: Hmm! So in the content generation part, that’s all. You is that correct?

59 00:15:11.200 00:15:18.740 Uttam Kumaran: Yeah. So this is everything from, you know, writing the case studies and writing the service pages, and then basically turning that into. But again.

60 00:15:18.810 00:15:36.900 Uttam Kumaran: I’m going to use AI for that. So I’m going to use. So once I write one case, here’s a good example. We just work with a client. We have, like 4 or 5 case studies from working with them. I want to take that turn that into a Linkedin series. Turn that into a twitter thread. Turn that into a tick, tock video, turn that into a.

61 00:15:37.330 00:15:38.030 Ruzzel Maestro: Right.

62 00:15:38.250 00:15:41.509 Uttam Kumaran: You know, like, I want an Instagram post, right? So like

63 00:15:41.530 00:15:46.569 Uttam Kumaran: there’s. And then I want to do that for every case study. And so you quickly see how this becomes

64 00:15:46.650 00:15:49.969 Uttam Kumaran: like a lot of work. So

65 00:15:50.280 00:15:50.980 Uttam Kumaran: right.

66 00:15:50.980 00:15:52.555 Ruzzel Maestro: So for me.

67 00:15:53.790 00:15:57.200 Ruzzel Maestro: for me, actually. Well, of of course you know

68 00:15:57.370 00:16:02.060 Ruzzel Maestro: the last stage in any I AI automation process going to be

69 00:16:02.150 00:16:10.480 Ruzzel Maestro: a real person like you can automate 80% of any process but the last 20%. The last Qa. Would still be

70 00:16:10.520 00:16:13.679 Ruzzel Maestro: a talented, graded person at the end. Right? So.

71 00:16:13.680 00:16:14.280 Uttam Kumaran: Yeah.

72 00:16:14.280 00:16:15.509 Ruzzel Maestro: Oh, I’m thinking

73 00:16:16.056 00:16:16.849 Ruzzel Maestro: I’m thinking

74 00:16:16.960 00:16:17.889 Ruzzel Maestro: we could.

75 00:16:18.480 00:16:21.839 Ruzzel Maestro: We could create a questionnaire, and those questionnaires would fire off

76 00:16:21.890 00:16:23.159 Ruzzel Maestro: to, let’s say.

77 00:16:23.500 00:16:27.419 Ruzzel Maestro: because between Cloud and chat. Gpti. I choose quad.

78 00:16:27.430 00:16:29.640 Ruzzel Maestro: So let’s say it’s fire, soft, applaud.

79 00:16:29.940 00:16:31.050 Ruzzel Maestro: And

80 00:16:31.170 00:16:35.379 Ruzzel Maestro: Claude takes that information, turns it into, let’s say.

81 00:16:35.420 00:16:37.759 Ruzzel Maestro: a series of Linkedin posts

82 00:16:37.880 00:16:38.610 Ruzzel Maestro: right?

83 00:16:39.980 00:16:41.772 Ruzzel Maestro: And what else?

84 00:16:42.460 00:16:44.029 Ruzzel Maestro: do you use? Facebook.

85 00:16:45.515 00:16:46.880 Uttam Kumaran: No no Facebook.

86 00:16:46.880 00:16:50.369 Ruzzel Maestro: No Facebook. So Linkedin, right? And what else.

87 00:16:50.840 00:16:54.010 Uttam Kumaran: Linkedin, Twitter, Instagram, Tiktok.

88 00:16:54.360 00:17:01.529 Ruzzel Maestro: Right? Okay? So yeah, right, let’s see. So maybe the 1st thing I should do is

89 00:17:01.550 00:17:02.839 Ruzzel Maestro: look into

90 00:17:03.090 00:17:04.579 Ruzzel Maestro: your current.

91 00:17:04.790 00:17:05.579 Ruzzel Maestro: Oh.

92 00:17:05.810 00:17:18.019 Ruzzel Maestro: current content. This is just in the realm of content creation. Right? So I I think I should look into the kind of content you’re generating at this time such so that I could have a

93 00:17:18.359 00:17:20.749 Ruzzel Maestro: a model, let’s say, a model

94 00:17:22.020 00:17:23.700 Ruzzel Maestro: on which to base

95 00:17:24.240 00:17:25.880 Ruzzel Maestro: subsequent

96 00:17:26.589 00:17:27.790 Ruzzel Maestro: content from.

97 00:17:28.400 00:17:29.200 Uttam Kumaran: Yes.

98 00:17:29.410 00:17:30.100 Uttam Kumaran: right?

99 00:17:30.503 00:17:31.310 Ruzzel Maestro: So that’s.

100 00:17:31.310 00:17:43.210 Uttam Kumaran: So yeah, we I mean, but I have everything from like, what is our tone of voice? Who our clients are like? I have all of that information that you can use in the prompt. I guess my question would be like, Are you going to be using something to orchestrate this.

101 00:17:43.250 00:17:46.310 Uttam Kumaran: or like. How do you think about like stringing all this together?

102 00:17:48.390 00:17:50.560 Ruzzel Maestro: Yeah, okay, so let’s see.

103 00:17:50.580 00:17:51.640 Ruzzel Maestro: Hmm.

104 00:17:53.800 00:17:55.060 Ruzzel Maestro: The 1st step would

105 00:17:56.700 00:17:57.910 Ruzzel Maestro: actually be

106 00:17:58.680 00:17:59.990 Ruzzel Maestro: like a questionnaire.

107 00:18:00.310 00:18:02.210 Ruzzel Maestro: So let’s say.

108 00:18:03.530 00:18:04.460 Ruzzel Maestro: what?

109 00:18:04.920 00:18:05.480 Ruzzel Maestro: Let’s

110 00:18:06.280 00:18:09.340 Ruzzel Maestro: let’s great questionnaire asking for

111 00:18:09.660 00:18:10.690 Ruzzel Maestro: a topic.

112 00:18:10.950 00:18:16.120 Ruzzel Maestro: a topic. And then what else? Maybe the length of the post

113 00:18:16.410 00:18:17.350 Ruzzel Maestro: target

114 00:18:17.960 00:18:19.749 Ruzzel Maestro: target readers of the post?

115 00:18:21.227 00:18:22.362 Ruzzel Maestro: What else?

116 00:18:23.230 00:18:27.790 Ruzzel Maestro: Because, let’s say, for example, we’re going to create an article, right?

117 00:18:27.960 00:18:36.380 Ruzzel Maestro: So we need to get a topic and then create a series of prompts whereby we we get an outline on the Second Level

118 00:18:36.480 00:18:37.990 Ruzzel Maestro: and then expand

119 00:18:38.150 00:18:41.269 Ruzzel Maestro: that outline on the 3rd level of the prompt.

120 00:18:42.710 00:18:43.949 Ruzzel Maestro: and then

121 00:18:44.120 00:18:45.460 Ruzzel Maestro: by maybe

122 00:18:45.890 00:18:46.950 Ruzzel Maestro: the 4th

123 00:18:47.170 00:18:48.770 Ruzzel Maestro: come, we can get.

124 00:18:49.220 00:18:52.709 Ruzzel Maestro: Let’s say, how how many, how many words do you have in?

125 00:18:52.740 00:18:54.320 Ruzzel Maestro: And in an article.

126 00:18:55.632 00:18:57.450 Uttam Kumaran: It’s maybe like 500 words.

127 00:18:57.450 00:18:59.080 Ruzzel Maestro: 500 words. Okay, that’s

128 00:18:59.760 00:19:01.709 Ruzzel Maestro: that’s that’s cool. Yeah.

129 00:19:02.380 00:19:03.970 Ruzzel Maestro: that’s plenty. Actually.

130 00:19:04.010 00:19:08.719 Ruzzel Maestro: usually, you get around between 400 to 500. So that’s

131 00:19:08.830 00:19:10.180 Ruzzel Maestro: that’s right around there.

132 00:19:10.716 00:19:12.179 Ruzzel Maestro: How about the image?

133 00:19:12.300 00:19:14.590 Ruzzel Maestro: Do you? Do you generate image.

134 00:19:15.437 00:19:17.420 Uttam Kumaran: Yeah, we’ll need to generate image as well.

135 00:19:18.322 00:19:21.209 Ruzzel Maestro: And do you use any particular tool.

136 00:19:22.466 00:19:24.933 Uttam Kumaran: I’ve just been using

137 00:19:25.730 00:19:29.730 Uttam Kumaran: I haven’t been using anything in particular. I mean, I’ve used stable diffusion.

138 00:19:29.830 00:19:31.555 Uttam Kumaran: and I used it used

139 00:19:32.460 00:19:34.739 Uttam Kumaran: just plain old chat. Gbt.

140 00:19:36.100 00:19:41.789 Ruzzel Maestro: Hmm, well, that’s yeah, that’s not going to be a problem. We can use any tool available.

141 00:19:41.850 00:19:43.080 Ruzzel Maestro: How about video?

142 00:19:43.390 00:19:45.529 Ruzzel Maestro: Do you do you use video, too?

143 00:19:45.850 00:19:50.170 Uttam Kumaran: I haven’t done any video yet, but it’s kind of like what I would love to try to do.

144 00:19:51.020 00:19:52.060 Ruzzel Maestro: Right? Cause

145 00:19:52.570 00:19:58.169 Ruzzel Maestro: in in terms of video we could, we could set up a let’s say we can.

146 00:19:58.680 00:20:07.730 Ruzzel Maestro: We can come up with a list of topics, and from a list of topics we could create an article and based on our article, we can create the script.

147 00:20:08.150 00:20:12.000 Ruzzel Maestro: and from that script we could maybe push it out into in video.

148 00:20:12.120 00:20:15.270 Ruzzel Maestro: because in video is one of the tools I use to create

149 00:20:15.510 00:20:17.009 Ruzzel Maestro: a video out of that.

150 00:20:17.600 00:20:22.410 Ruzzel Maestro: But in video is well in video because they use stock images.

151 00:20:23.435 00:20:25.160 Ruzzel Maestro: That’s going to

152 00:20:25.430 00:20:26.660 Ruzzel Maestro: cost a month

153 00:20:26.810 00:20:31.210 Ruzzel Maestro: cost a monthly fee. I think right now there are 29.

154 00:20:32.920 00:20:33.980 Ruzzel Maestro: but that’s

155 00:20:34.390 00:20:36.160 Ruzzel Maestro: I think that’s fair.

156 00:20:36.320 00:20:39.049 Ruzzel Maestro: They use AI to

157 00:20:39.250 00:20:40.580 Ruzzel Maestro: select to stop

158 00:20:41.500 00:20:46.500 Ruzzel Maestro: stock video clips I think they use I stock

159 00:20:46.600 00:20:47.850 Ruzzel Maestro: and some other

160 00:20:47.930 00:20:49.410 Ruzzel Maestro: and some other

161 00:20:49.750 00:20:51.710 Ruzzel Maestro: stop websites.

162 00:20:51.900 00:20:53.120 Ruzzel Maestro: The

163 00:20:54.180 00:20:56.599 Ruzzel Maestro: they’re able to create some

164 00:20:56.740 00:20:59.080 Ruzzel Maestro: very well edited videos.

165 00:20:59.230 00:21:04.359 Ruzzel Maestro: So that’s 1. So that’s 1 of the tools we can use. And then.

166 00:21:04.710 00:21:05.520 Ruzzel Maestro: yeah.

167 00:21:06.275 00:21:08.210 Ruzzel Maestro: in terms of

168 00:21:08.640 00:21:10.120 Ruzzel Maestro: images.

169 00:21:10.430 00:21:12.300 Ruzzel Maestro: I mean, journey should be fine.

170 00:21:14.500 00:21:15.529 Ruzzel Maestro: what else?

171 00:21:15.810 00:21:21.309 Ruzzel Maestro: Yeah. So we can, we can actually start, we can actually start with

172 00:21:22.200 00:21:23.720 Ruzzel Maestro: a list of

173 00:21:25.480 00:21:28.810 Ruzzel Maestro: topics or titles. And then we

174 00:21:29.330 00:21:32.340 Ruzzel Maestro: can have the AI create an outline for that.

175 00:21:32.680 00:21:33.780 Ruzzel Maestro: Okay? And

176 00:21:33.810 00:21:37.399 Ruzzel Maestro: once once we got once we get an outline, we can

177 00:21:38.560 00:21:45.100 Ruzzel Maestro: pivot to creating an article, or we can pivot to creating a video based on that.

178 00:21:45.600 00:21:56.129 Ruzzel Maestro: Okay, yeah, we I, I I would think we can get around 80% of the whole process automated with the last 20% being the.

179 00:21:56.800 00:21:57.559 Uttam Kumaran: Totally fine!

180 00:21:57.770 00:21:58.150 Ruzzel Maestro: Creative.

181 00:21:58.150 00:22:07.400 Uttam Kumaran: Yeah, I mean, I have like 50% as the goal which is basically like, for example, I’m gonna have the case study. And so what I do is to make to make these case studies. I actually

182 00:22:07.910 00:22:18.890 Uttam Kumaran: tool where I just do speech to text. I talk for like 5 min about the project. I didn’t have an AI prompt that turns that into the case study. I kind of edit it small things, and then.

183 00:22:19.430 00:22:20.680 Uttam Kumaran: That’s able to go

184 00:22:20.740 00:22:34.880 Uttam Kumaran: right. So then from there it would be great to say, Hey, let’s turn that into the Linkedin series, or let’s turn that into the Twitter series. Here’s the description for the the Tiktok, you know, and then we continue to find out in those different arenas cause that.

185 00:22:34.880 00:22:35.299 Ruzzel Maestro: Wait a minute.

186 00:22:35.300 00:22:43.819 Uttam Kumaran: So, and I’m happy to again. My involvement is like writing the case studies and then doing all the like Qa. Or editing, and the final editing. Perfect

187 00:22:43.840 00:22:54.619 Uttam Kumaran: right? Because that’s that’s it. I’m not gonna have anything published automatically. There’s no need to automate that piece as long as it gives us the content. I can be the editorial. And then automate that

188 00:22:54.740 00:22:56.710 Uttam Kumaran: right right so.

189 00:22:56.710 00:22:59.790 Ruzzel Maestro: So I guess so I guess I’m I’m thinking

190 00:23:00.060 00:23:02.750 Ruzzel Maestro: where I would come into would be to

191 00:23:02.870 00:23:09.070 Ruzzel Maestro: well, maybe a 1st step for us would be to brainstorm possible topics

192 00:23:09.110 00:23:11.740 Ruzzel Maestro: and possible characteristics for

193 00:23:12.524 00:23:14.740 Ruzzel Maestro: maybe prompt, or whatever.

194 00:23:14.740 00:23:21.650 Uttam Kumaran: So I actually, yeah, I actually do have that for the case studies and the service pages. So I actually have a, I have a backlog of

195 00:23:21.680 00:23:25.168 Uttam Kumaran: documents and the topics, titles and

196 00:23:25.950 00:23:35.140 Uttam Kumaran: the the actual transcript that I recorded, all of that is there, and the kind of the prompts that we’re using to get the case study. But I’m not going beyond. I haven’t gone beyond that.

197 00:23:36.176 00:23:36.950 Ruzzel Maestro: I see.

198 00:23:37.360 00:23:43.760 Ruzzel Maestro: Yeah. So so maybe we can start with that. See see what things we can refine.

199 00:23:43.940 00:23:45.500 Ruzzel Maestro: And because

200 00:23:46.170 00:23:50.460 Ruzzel Maestro: definitely, once you get the 1st results from those prompts you

201 00:23:50.470 00:23:52.420 Ruzzel Maestro: you’d be able to see

202 00:23:53.042 00:24:00.209 Ruzzel Maestro: significant. What significant errors or significant change things that you need to change right

203 00:24:00.420 00:24:02.130 Ruzzel Maestro: for for the article

204 00:24:02.260 00:24:03.820 Ruzzel Maestro: to be readable

205 00:24:04.450 00:24:06.360 Ruzzel Maestro: and accurate, I would say.

206 00:24:08.650 00:24:13.140 Uttam Kumaran: So where and and like, how would you actually orchestrate this like, what technology would you use to like

207 00:24:13.210 00:24:14.980 Uttam Kumaran: to string all these things together?

208 00:24:17.990 00:24:18.580 Ruzzel Maestro: Well.

209 00:24:19.770 00:24:23.789 Ruzzel Maestro: in terms of I I usually just use Quad and Poe.

210 00:24:24.890 00:24:28.136 Ruzzel Maestro: I could just Claude Poe, and then

211 00:24:28.930 00:24:31.360 Ruzzel Maestro: There’s also a thing I use.

212 00:24:31.690 00:24:34.290 Ruzzel Maestro: It’s voice flow

213 00:24:34.340 00:24:38.150 Ruzzel Maestro: right? Because with voice flow that you can actually create

214 00:24:38.300 00:24:38.895 Ruzzel Maestro: a

215 00:24:40.840 00:24:41.960 Ruzzel Maestro: a series of

216 00:24:43.121 00:24:46.700 Ruzzel Maestro: well, invoice relief. It’s called Flows. So

217 00:24:47.050 00:24:49.679 Ruzzel Maestro: it’s it’s a series of paths

218 00:24:49.720 00:24:51.999 Ruzzel Maestro: that the A will take

219 00:24:52.240 00:24:53.960 Ruzzel Maestro: depending on

220 00:24:54.420 00:24:56.880 Ruzzel Maestro: the characteristics of the steps above it.

221 00:24:57.170 00:24:58.470 Ruzzel Maestro: So let’s say

222 00:25:01.380 00:25:03.390 Ruzzel Maestro: let’s say the 1st step would be.

223 00:25:03.600 00:25:08.249 Ruzzel Maestro: what is your topic? So we give it a topic. And then what kind of

224 00:25:08.810 00:25:09.520 Ruzzel Maestro: what?

225 00:25:09.660 00:25:12.460 Ruzzel Maestro: What is your target audience for this?

226 00:25:13.263 00:25:16.329 Ruzzel Maestro: It could present you with, let’s say, 3

227 00:25:16.460 00:25:17.530 Ruzzel Maestro: different

228 00:25:17.670 00:25:19.220 Ruzzel Maestro: target audiences.

229 00:25:19.440 00:25:20.619 Ruzzel Maestro: You choose one

230 00:25:21.180 00:25:26.560 Ruzzel Maestro: depending on which one of those options you choose. It brings you down one path.

231 00:25:27.980 00:25:31.239 Ruzzel Maestro: and then that path would have a different set of prompts.

232 00:25:35.080 00:25:39.479 Uttam Kumaran: Okay. But then, what is Poe like? What is Poe doing that? Well, well.

233 00:25:40.110 00:25:40.780 Ruzzel Maestro: Poll

234 00:25:41.010 00:25:44.400 Ruzzel Maestro: Poe is like an an aggregator of

235 00:25:44.430 00:25:48.129 Ruzzel Maestro: the different AI tools. So what you get there is

236 00:25:48.770 00:25:50.300 Ruzzel Maestro: info. You can

237 00:25:50.550 00:25:53.750 Ruzzel Maestro: put in the same prompts, and you can

238 00:25:54.280 00:25:56.320 Ruzzel Maestro: prompt the different AI

239 00:25:56.940 00:25:59.359 Ruzzel Maestro: tools available. Let’s say you’ve got

240 00:25:59.640 00:26:02.140 Ruzzel Maestro: a chat. Gpd, in there. You got Poll.

241 00:26:02.180 00:26:03.650 Ruzzel Maestro: You got Mistral.

242 00:26:04.270 00:26:06.819 Ruzzel Maestro: because those 3 tools would give you

243 00:26:07.470 00:26:08.380 Ruzzel Maestro: different.

244 00:26:09.322 00:26:14.469 Ruzzel Maestro: Different answers. They’re not. They’re not going to be the same. So you can select the best.

245 00:26:15.410 00:26:16.850 Ruzzel Maestro: the best results

246 00:26:17.240 00:26:18.810 Ruzzel Maestro: that you can be given

247 00:26:19.120 00:26:21.410 Ruzzel Maestro: by those 3 different Lms.

248 00:26:24.060 00:26:28.720 Uttam Kumaran: But then so then you you mentioned that you can actually have, like

249 00:26:28.900 00:26:32.279 Uttam Kumaran: you have a questionnaire, and then it goes to one thing. It goes to the other thing like, How do you.

250 00:26:32.280 00:26:32.600 Ruzzel Maestro: Zoom, room.

251 00:26:32.600 00:26:33.460 Uttam Kumaran: Those together.

252 00:26:37.900 00:26:41.429 Uttam Kumaran: cause I’ve used things like flow wise or like agent hub.

253 00:26:41.600 00:26:42.570 Uttam Kumaran: yeah.

254 00:26:43.300 00:26:48.290 Uttam Kumaran: like, how would you actually like string those things together like would you use like

255 00:26:48.470 00:26:52.300 Uttam Kumaran: Zapier, or like, you know what I mean? Like, how do you actually orchestrate each of those.

256 00:26:52.300 00:26:52.930 Ruzzel Maestro: Hmm.

257 00:26:55.810 00:26:57.580 Ruzzel Maestro: well, the thing is

258 00:26:58.350 00:26:59.160 Ruzzel Maestro: with.

259 00:27:02.540 00:27:03.370 Ruzzel Maestro: So

260 00:27:04.450 00:27:06.589 Ruzzel Maestro: so we’ve got we’ve got the questionnaire right?

261 00:27:07.436 00:27:10.930 Ruzzel Maestro: And let’s say the question has 5 questions.

262 00:27:11.160 00:27:14.811 Ruzzel Maestro: So the 1st question would be

263 00:27:15.710 00:27:16.630 Ruzzel Maestro: and say.

264 00:27:18.210 00:27:19.969 Ruzzel Maestro: and see, the 1st question is.

265 00:27:20.210 00:27:22.269 Ruzzel Maestro: what is your topic?

266 00:27:22.560 00:27:24.080 Ruzzel Maestro: So we give it a topic.

267 00:27:24.400 00:27:25.460 Ruzzel Maestro: and then.

268 00:27:29.610 00:27:32.169 Ruzzel Maestro: I’m I’m finding it a little bit difficult.

269 00:27:32.860 00:27:33.959 Ruzzel Maestro: How about

270 00:27:34.250 00:27:35.820 Ruzzel Maestro: how about? Let’s do this?

271 00:27:38.920 00:27:41.239 Ruzzel Maestro: how about? Let’s do a

272 00:27:41.450 00:27:45.239 Ruzzel Maestro: let’s say a dry run right? So I’ll create something.

273 00:27:45.770 00:27:46.310 Uttam Kumaran: Okay.

274 00:27:46.310 00:27:50.250 Ruzzel Maestro: That I’ll create something. Maybe you can give me a topic. Maybe.

275 00:27:50.250 00:28:01.380 Uttam Kumaran: Why don’t I? Why don’t I actually send? I’ll send you the like. I’ll send you an example of like a case study where it’s a transcript. And the case study that we wrote, and maybe you can just see what see what you can do with that. And then let’s go from there.

276 00:28:01.380 00:28:02.030 Ruzzel Maestro: Right?

277 00:28:02.140 00:28:04.019 Ruzzel Maestro: Right? Yeah, that would be better.

278 00:28:04.180 00:28:08.630 Ruzzel Maestro: So we’ve got. We’ve got something tall told tall to talk about, right?

279 00:28:09.450 00:28:12.350 Ruzzel Maestro: So it’s just not theoretical that we’re trying to.

280 00:28:12.350 00:28:16.529 Uttam Kumaran: No, no, totally, no, that’s that. That’s totally fine with me. So let me do that, and then

281 00:28:16.866 00:28:18.900 Uttam Kumaran: so I’ll send that to you right after this.

282 00:28:18.990 00:28:20.240 Uttam Kumaran: and then.

283 00:28:20.580 00:28:26.150 Uttam Kumaran: maybe, like, are you on? Are you? Are you on? Can you slack by chance, or Whatsapp, or how do you.

284 00:28:26.150 00:28:26.810 Ruzzel Maestro: Yeah, that’s for sure.

285 00:28:26.810 00:28:27.360 Uttam Kumaran: Communication.

286 00:28:27.360 00:28:31.870 Ruzzel Maestro: I’ll I’ll be. I’ll be on slack. I I also have. Whatsapp. I’ll give you a number.

287 00:28:32.970 00:28:34.869 Ruzzel Maestro: I’ll give you my number just a second.

288 00:28:34.870 00:28:35.490 Uttam Kumaran: Yeah.

289 00:28:35.790 00:28:37.239 Ruzzel Maestro: Let me type it down.

290 00:28:38.110 00:28:55.309 Uttam Kumaran: Thank you. Yeah, that’s perfect. We do everything on slack. And then, yeah, so maybe I’ll send that to you, and then let’s see what we can do. I’m talking to a couple of other folks so, but also again, I just wanna make sure we I wanna have get someone that, you know, we have so many things that we have opportunities on here. So I wanna make sure.

291 00:28:55.310 00:28:56.420 Ruzzel Maestro: Right, yeah.

292 00:28:57.120 00:29:03.269 Uttam Kumaran: We can work together. And then we can basically see, okay, is there opportunity, like how many hours per week? And things like that.

293 00:29:03.570 00:29:06.920 Ruzzel Maestro: Right, of course. Let’s see, where’s the chat? Here.

294 00:29:07.250 00:29:08.120 Ruzzel Maestro: there you go.

295 00:29:08.290 00:29:10.189 Ruzzel Maestro: So this is mine.

296 00:29:11.150 00:29:12.420 Ruzzel Maestro: This is my number

297 00:29:12.700 00:29:14.010 Ruzzel Maestro: 4. Whatsapp?

298 00:29:15.960 00:29:18.350 Ruzzel Maestro: 3, 9, 1, 6, 6, 7,

299 00:29:18.370 00:29:21.280 Ruzzel Maestro: 9, 5, 2, 1, 6,

300 00:29:28.600 00:29:36.540 Ruzzel Maestro: you know, with everything going on with AI, right? So everybody is trying to just maximize the efficiency of their processes.

301 00:29:38.580 00:29:45.079 Uttam Kumaran: Yeah. And you know my business is new business. So for me, I want to do it from the ground up like, and I have complete control.

302 00:29:45.090 00:29:49.949 Uttam Kumaran: And you know, I wanna try to increase the margins of my business. And I’m like, I want to have someone

303 00:29:50.050 00:29:56.195 Uttam Kumaran: you know, ideally, in a long term full time. That’s basically just working on automating things.

304 00:29:56.980 00:29:59.340 Uttam Kumaran: but like, you know, it starts small. So

305 00:29:59.926 00:30:03.430 Uttam Kumaran: and then, yeah, how did you get into like this work like, what were you doing before.

306 00:30:03.870 00:30:06.489 Ruzzel Maestro: Well, actually, my

307 00:30:07.310 00:30:10.290 Ruzzel Maestro: my specialization before is in.

308 00:30:10.300 00:30:11.899 Ruzzel Maestro: Well, you can say, content.

309 00:30:12.330 00:30:16.419 Ruzzel Maestro: What? What I am actually is. I started out as an illustrate.

310 00:30:17.050 00:30:18.040 Ruzzel Maestro: an illustrator.

311 00:30:18.040 00:30:18.780 Uttam Kumaran: Nice.

312 00:30:19.020 00:30:22.040 Ruzzel Maestro: Right? And then I shifted to animation.

313 00:30:22.500 00:30:24.010 Ruzzel Maestro: And then, after

314 00:30:24.480 00:30:29.730 Ruzzel Maestro: after going getting into animation, I was I was actually creating explainer videos

315 00:30:30.060 00:30:32.620 Ruzzel Maestro: and then cartoon videos, Youtube videos.

316 00:30:32.820 00:30:34.180 Ruzzel Maestro: Nice. Okay?

317 00:30:34.260 00:30:40.510 Ruzzel Maestro: You know. Well, also, podcast, videos, you know those Joe Rogan, animated.

318 00:30:40.510 00:30:41.340 Uttam Kumaran: Yes.

319 00:30:41.520 00:30:44.110 Ruzzel Maestro: I was. I was making things like those before.

320 00:30:44.110 00:30:46.679 Uttam Kumaran: And is, is that just for you, or was that for a client.

321 00:30:46.680 00:30:49.290 Ruzzel Maestro: I know it’s actually client work. It’s actually.

322 00:30:49.290 00:30:50.340 Uttam Kumaran: Okay. Great.

323 00:30:51.010 00:30:54.110 Ruzzel Maestro: And then. And then I started taking on

324 00:30:54.240 00:30:58.509 Ruzzel Maestro: more senior positions because I I was able to contract

325 00:30:59.103 00:31:06.900 Ruzzel Maestro: several online pod stores that sprint on demand stores. So I was, basically, I was basically building their

326 00:31:07.140 00:31:09.390 Ruzzel Maestro: art departments. So we were.

327 00:31:09.390 00:31:09.740 Uttam Kumaran: Okay.

328 00:31:09.740 00:31:13.940 Ruzzel Maestro: We were doing. If you know the if you know the Simpsons style.

329 00:31:13.940 00:31:14.490 Uttam Kumaran: Yeah. Per, team.

330 00:31:14.490 00:31:18.700 Ruzzel Maestro: Yeah, so we will build. We were building those. And then

331 00:31:18.790 00:31:20.370 Ruzzel Maestro: I was also

332 00:31:20.550 00:31:25.230 Ruzzel Maestro: handling creative teams, making videos, explainer videos, things like that.

333 00:31:25.600 00:31:27.280 Ruzzel Maestro: And then by 2,000

334 00:31:27.380 00:31:31.089 Ruzzel Maestro: 2,022 November. That’s when Chat Gpd. Came out

335 00:31:31.420 00:31:32.960 Ruzzel Maestro: and I heard of it.

336 00:31:33.440 00:31:37.820 Ruzzel Maestro: I felt like something is going to be shifting right.

337 00:31:38.120 00:31:39.290 Uttam Kumaran: Yeah.

338 00:31:39.290 00:31:42.409 Ruzzel Maestro: Because I was seeing far into the future. And I said, Hmm.

339 00:31:42.420 00:31:43.909 Ruzzel Maestro: mid journey is out.

340 00:31:44.190 00:31:48.790 Ruzzel Maestro: So what else is next? People people were thinking that

341 00:31:49.070 00:31:51.859 Ruzzel Maestro: the blue collar jobs are going to go first.st

342 00:31:51.970 00:31:58.190 Ruzzel Maestro: But apparently it’s not going that way. Creative jobs are being disrupted first.st So I say.

343 00:31:58.190 00:31:58.830 Uttam Kumaran: Yeah.

344 00:31:58.830 00:32:09.916 Ruzzel Maestro: I need to pivot someplace else, and that someplace else is going to be AI and process automations. So I started to bring my creative

345 00:32:11.320 00:32:14.620 Ruzzel Maestro: creative experiences, experiencing the creative

346 00:32:14.640 00:32:17.070 Ruzzel Maestro: and design field into

347 00:32:17.230 00:32:18.900 Ruzzel Maestro: AI and on a mission.

348 00:32:18.910 00:32:23.720 Ruzzel Maestro: So that’s so, that’s when I started shifting to

349 00:32:24.050 00:32:25.020 Ruzzel Maestro: bubble

350 00:32:25.220 00:32:26.360 Ruzzel Maestro: Zapier, me.

351 00:32:26.360 00:32:26.910 Uttam Kumaran: Yes.

352 00:32:27.490 00:32:28.390 Uttam Kumaran: Yeah.

353 00:32:28.390 00:32:35.850 Ruzzel Maestro: And go high level. Go high. Level is well, it’s go high. Level is a favorite among marketers, because you.

354 00:32:35.850 00:32:39.160 Uttam Kumaran: Yeah, no. Someone told me they used go high level the other day. So.

355 00:32:39.610 00:32:48.629 Ruzzel Maestro: Yeah, so yeah, because because you have funnels there. And you can, you can text, you can create chat bots. They, they basically have

356 00:32:48.660 00:32:53.539 Ruzzel Maestro: a whole lot of things in there that you would usually buy separately.

357 00:32:53.980 00:32:57.969 Ruzzel Maestro: So it’s it’s very convenient, I believe.

358 00:32:57.990 00:33:05.930 Ruzzel Maestro: Let’s say, for example, with chat bots, a more dedicated system, like what like voice flow, would be more powerful.

359 00:33:06.150 00:33:14.273 Ruzzel Maestro: But you can create a decent, a decent chat bot using Jhl, and then you also have the social mark.

360 00:33:15.130 00:33:15.945 Ruzzel Maestro: social

361 00:33:17.780 00:33:20.899 Ruzzel Maestro: marketing management platform and.

362 00:33:20.900 00:33:21.310 Uttam Kumaran: Yeah.

363 00:33:21.310 00:33:25.490 Ruzzel Maestro: And also the landing pages all in one place. So it’s a very. It’s a very

364 00:33:25.620 00:33:39.849 Ruzzel Maestro: popular with marketers, and that’s 1 of the I also use quite a lot. Go high level. I think you. I think it would be useful to you, too, if you have. If you don’t use any Crm yet.

365 00:33:40.640 00:33:48.239 Uttam Kumaran: Yeah, I mean, we don’t use any. See? We’re using notion right now. But yeah, I mean again, all these things is like, all in the same world. Right? So love to.

366 00:33:48.240 00:33:48.960 Ruzzel Maestro: Links.

367 00:33:49.270 00:33:57.270 Uttam Kumaran: Work with you on, like, basically as much of this as possible. Everything. I had the same thing, you know, when I started. This business is right. An AI stuff started last year.

368 00:33:57.270 00:33:57.719 Ruzzel Maestro: You know.

369 00:33:57.720 00:34:03.491 Uttam Kumaran: And I my whole goal. I wrote down when they started. The business was to automate 50% of it.

370 00:34:03.780 00:34:04.170 Ruzzel Maestro: Yeah.

371 00:34:04.170 00:34:09.820 Uttam Kumaran: Able to do a good amount. But you know, just like you, you know, it’s hard to get people to buy in

372 00:34:10.666 00:34:15.119 Uttam Kumaran: you know, like I have a lot of my staff is all engineers, but

373 00:34:15.179 00:34:17.600 Uttam Kumaran: they don’t see the vision right? They don’t get interested.

374 00:34:17.600 00:34:17.980 Ruzzel Maestro: Really.

375 00:34:17.980 00:34:23.380 Uttam Kumaran: And so I’m not. I can’t wait for them to figure it out like I want to.

376 00:34:23.949 00:34:28.509 Ruzzel Maestro: And it’s and I think it’s also because if they’re being threatened by

377 00:34:28.919 00:34:35.389 Ruzzel Maestro: by AI, I mean, I have a friend in New Zealand, right, and what he does is he’s a

378 00:34:35.459 00:34:37.699 Ruzzel Maestro: he’s basically a front-end developer.

379 00:34:38.039 00:34:39.129 Ruzzel Maestro: And

380 00:34:40.479 00:34:43.419 Ruzzel Maestro: in our last conversation he told me.

381 00:34:43.629 00:34:44.899 Ruzzel Maestro: his company

382 00:34:45.209 00:34:46.269 Ruzzel Maestro: is

383 00:34:48.259 00:34:50.419 Ruzzel Maestro: is shifting more towards.

384 00:34:50.899 00:34:53.569 Ruzzel Maestro: Well, the term is being more efficient.

385 00:34:53.859 00:34:57.109 Ruzzel Maestro: So they’re practically been, you know.

386 00:34:57.849 00:35:01.239 Ruzzel Maestro: slowly integrated. Yeah.

387 00:35:01.309 00:35:05.179 Ruzzel Maestro: So if they have a hundred front end developers.

388 00:35:05.689 00:35:08.019 Ruzzel Maestro: who knows how many will be left.

389 00:35:08.630 00:35:13.080 Uttam Kumaran: I know exactly, I mean, but I can’t. I can’t wait to find out. I’m not. I’m not gonna sit around and.

390 00:35:13.080 00:35:18.019 Ruzzel Maestro: I mean, that’s that’s that’s the that’s the way it’s going to be right. So you better adopt.

391 00:35:19.200 00:35:28.480 Uttam Kumaran: Also, I want to. I want I don’t like. I tell my team like, I’m not here to fire. You guys, I’m actually here for us to handle more work with less people.

392 00:35:28.900 00:35:33.889 Uttam Kumaran: you know. That’s what I think. There’s always so much work to be done in data

393 00:35:34.120 00:35:42.599 Uttam Kumaran: that like it’s not like, Oh, I’m gonna fire everybody. It’s like, I don’t want to hire like a hundred people. And say, Can we do 50 people, 20 people.

394 00:35:42.960 00:35:43.320 Ruzzel Maestro: Yeah.

395 00:35:43.320 00:35:43.710 Uttam Kumaran: Yeah, I can.

396 00:35:43.710 00:35:48.070 Ruzzel Maestro: Do it with 50 people. Why, why hire like 200? Right? You can be.

397 00:35:48.070 00:35:50.449 Uttam Kumaran: Exactly. Exactly. Yeah.

398 00:35:50.710 00:35:52.090 Uttam Kumaran: so, yeah, so.

399 00:35:52.090 00:35:53.530 Ruzzel Maestro: We’ll try to see.

400 00:35:54.035 00:35:57.489 Ruzzel Maestro: What kind of assistance we can do where we could be more efficient.

401 00:35:57.550 00:36:05.055 Ruzzel Maestro: and it would. It would be great if I could see your current process and some samples of your

402 00:36:06.170 00:36:09.359 Ruzzel Maestro: What’s this case? Studies because.

403 00:36:09.360 00:36:09.960 Uttam Kumaran: Correct.

404 00:36:10.360 00:36:15.410 Ruzzel Maestro: Because, seeing where your case studies are consistent, I mean.

405 00:36:15.970 00:36:18.840 Ruzzel Maestro: what’s common with those case studies

406 00:36:19.070 00:36:23.360 Ruzzel Maestro: based on those commonalities? We can, we can figure out how to.

407 00:36:24.030 00:36:25.940 Uttam Kumaran: So let’s do, yeah, let’s

408 00:36:26.740 00:36:32.099 Uttam Kumaran: yeah, let’s do a couple of things. So one I’m gonna send you. I’m going to start a notion document just around

409 00:36:32.270 00:36:44.950 Uttam Kumaran: this sort of process like content. Let’s because again, I want to break it down into sales engineering operations. So I’m gonna start. I’m gonna send you something with basically like, kind of like, what we’re

410 00:36:45.130 00:36:46.149 Uttam Kumaran: what we’re

411 00:36:48.210 00:36:51.039 Uttam Kumaran: I’m actually gonna send you something with what we have

412 00:36:51.342 00:36:55.279 Uttam Kumaran: so far on the content automation side as well as I want to send you.

413 00:36:55.340 00:36:57.400 Uttam Kumaran: I want to send you examples of

414 00:36:57.470 00:37:17.590 Uttam Kumaran: high performing content on Linkedin right? Because there’s keep Linkedin is where a lot of businesses like mine post. And so you can go on there and see, like what’s actually high performing so that way, you get some inspiration from like, okay, these are the things that are high performing. And hopefully, we can use those as examples in the prompt to. Then, you know, begin to generate these things so.

415 00:37:18.450 00:37:19.880 Ruzzel Maestro: Yeah. And also

416 00:37:20.338 00:37:24.170 Ruzzel Maestro: well, you know, there’s always a new tool coming out. Maybe

417 00:37:24.280 00:37:29.640 Ruzzel Maestro: maybe an Aid AI tool comes out every week, if if not more right.

418 00:37:30.080 00:37:30.690 Uttam Kumaran: Yes.

419 00:37:30.690 00:37:35.530 Ruzzel Maestro: We, we need to be careful to not just drown in all the tools that we’re using.

420 00:37:36.640 00:37:45.729 Ruzzel Maestro: So we need to. So we need to, you know. Cut, cut the fat, and just concentrate on the tools that are

421 00:37:47.850 00:37:48.940 Ruzzel Maestro: actually

422 00:37:49.230 00:37:51.389 Ruzzel Maestro: more robust. I would say.

423 00:37:52.450 00:37:56.640 Uttam Kumaran: Yeah, that’s totally fine. Yeah. I mean, I don’t mind. Whatever we end up using

424 00:37:56.700 00:38:03.519 Uttam Kumaran: does not matter to me. Just that it works, and if we get it working, then we can start to break it apart, you know. So.

425 00:38:03.520 00:38:04.270 Ruzzel Maestro: Hmm.

426 00:38:05.620 00:38:07.140 Ruzzel Maestro: alright, great, so.

427 00:38:07.140 00:38:15.710 Uttam Kumaran: Great, so I will. I’ll how about I? I’ll invite you to slack that way. We can communicate there. But I also, I added, you on Whatsapp.

428 00:38:16.103 00:38:20.580 Uttam Kumaran: So that way, in case you need to call me or anything you you have my number

429 00:38:20.740 00:38:21.450 Uttam Kumaran: right.

430 00:38:21.450 00:38:25.509 Ruzzel Maestro: So I I got your. I got your message on what’s whatsapp?

431 00:38:25.940 00:38:26.570 Ruzzel Maestro: And

432 00:38:27.900 00:38:32.019 Ruzzel Maestro: yeah. So nothing yet on slack. I’m waiting on it.

433 00:38:32.600 00:38:36.110 Uttam Kumaran: Okay, yeah. So I’ll add you right after this to slack. And then we can just communicate there.

434 00:38:36.640 00:38:37.900 Uttam Kumaran: Sure. Cool.

435 00:38:38.320 00:38:41.439 Uttam Kumaran: Okay, okay, perfect. And how do you pronounce your name? By the way.

436 00:38:42.409 00:38:46.810 Ruzzel Maestro: Well, it’s just Russell like Russell. Russell Crow.

437 00:38:47.300 00:38:48.870 Uttam Kumaran: Nice.

438 00:38:48.870 00:38:49.210 Ruzzel Maestro: But we.

439 00:38:49.210 00:38:50.000 Uttam Kumaran: Nice.

440 00:38:50.240 00:38:50.930 Ruzzel Maestro: I, I.

441 00:38:50.930 00:38:51.380 Uttam Kumaran: Well, man.

442 00:38:51.380 00:38:51.950 Ruzzel Maestro: Was.

443 00:38:52.050 00:38:53.839 Ruzzel Maestro: I think the Z. Is there

444 00:38:54.040 00:38:54.980 Ruzzel Maestro: just to make it? Yeah.

445 00:38:54.980 00:38:55.560 Uttam Kumaran: Yeah.

446 00:38:56.070 00:38:58.720 Uttam Kumaran: no, it’s really, it’s a really cool name. So yeah, really nice.

447 00:38:58.720 00:38:59.909 Ruzzel Maestro: Nice to meet you, Russell.

448 00:39:00.080 00:39:01.389 Ruzzel Maestro: Thanks, man.

449 00:39:02.020 00:39:02.440 Uttam Kumaran: Okay.

450 00:39:02.700 00:39:04.000 Ruzzel Maestro: Where are you at, though?

451 00:39:04.580 00:39:06.170 Uttam Kumaran: I’m in Austin, Texas.

452 00:39:06.500 00:39:07.989 Ruzzel Maestro: Oh, Austin! Texas!

453 00:39:08.350 00:39:09.679 Ruzzel Maestro: Cool! I.

454 00:39:09.680 00:39:10.480 Uttam Kumaran: Yeah, yeah.

455 00:39:10.480 00:39:14.060 Ruzzel Maestro: You’ve got. You’ve got a really unique name. I think.

456 00:39:14.339 00:39:26.370 Uttam Kumaran: Thank you. Yeah, it’s I don’t never met anyone with my name, so it’s it’s good and bad, you know. I think it’s sometimes, you know, people mess it up. But at the same time it’s nice to be unique. So.

457 00:39:26.651 00:39:28.899 Ruzzel Maestro: How how did they mess it up, though?

458 00:39:29.600 00:39:36.996 Uttam Kumaran: They say like you, Tom, or like I don’t know. They people say like they don’t. They see? Think it’s a y or something. I don’t know.

459 00:39:37.270 00:39:41.519 Ruzzel Maestro: I see. Well, the thing the good thing about it is, you know.

460 00:39:41.800 00:39:45.489 Ruzzel Maestro: the police will never mistake us for for somebody else, because.

461 00:39:45.490 00:39:46.160 Uttam Kumaran: Yes.

462 00:39:46.160 00:39:47.539 Ruzzel Maestro: The names are quite unique.

463 00:39:48.020 00:39:49.310 Uttam Kumaran: That’s true. That’s true.

464 00:39:49.310 00:39:58.110 Ruzzel Maestro: Right. So you don’t get confused with somebody somebody named Mark has been arrested. There’s a lot of marks, but there’s very.

465 00:39:58.110 00:39:58.640 Uttam Kumaran: Yeah.

466 00:39:58.640 00:40:01.179 Ruzzel Maestro: Rather with the Z and utam with a double T,

467 00:40:01.680 00:40:04.590 Ruzzel Maestro: yeah, there you go, right cool.

468 00:40:05.830 00:40:06.640 Uttam Kumaran: Okay.

469 00:40:06.990 00:40:09.070 Uttam Kumaran: thank you so much. I’ll talk to you soon.

470 00:40:09.520 00:40:13.930 Ruzzel Maestro: Hey? Thanks, man, I’ll be waiting for your what? Email? Okay, cool. Thanks.

471 00:40:13.930 00:40:15.300 Uttam Kumaran: Perfect. Okay? Bye.

472 00:40:50.470 00:40:51.170 Uttam Kumaran: jump.

473 00:40:52.300 00:40:53.179 Ruzzel Maestro: So, love.

474 00:41:02.600 00:41:03.500 Ruzzel Maestro: Unfortunately.

475 00:42:45.730 00:42:48.160 Ruzzel Maestro: one in the morning. I don’t think.