Meeting Title: Miguel <> Anton Date: 2025-02-12 Meeting participants: Miguel De Veyra, Anton Gefvert


WEBVTT

1 00:00:25.220 00:00:25.990 Anton Gefvert: No.

2 00:01:07.240 00:01:09.119 Miguel de Veyra: Hey, Anton great to meet you.

3 00:01:09.400 00:01:11.699 Miguel de Veyra: Sorry. It’s kind of dark. There you go.

4 00:01:15.900 00:01:18.172 Anton Gefvert: Oh, I see cat!

5 00:01:19.750 00:01:20.570 Miguel de Veyra: Oh, yeah.

6 00:01:21.530 00:01:22.069 Anton Gefvert: It’s the name.

7 00:01:22.070 00:01:24.860 Miguel de Veyra: This one’s Ragnar.

8 00:01:25.250 00:01:25.780 Anton Gefvert: Ragna.

9 00:01:26.100 00:01:29.150 Miguel de Veyra: Yeah, that one over there is Ivor.

10 00:01:29.440 00:01:34.200 Miguel de Veyra: Yeah. But this one’s older, that one’s older. So it was a bit of a mix up.

11 00:01:34.720 00:01:35.100 Anton Gefvert: Hmm.

12 00:01:36.890 00:01:37.559 Miguel de Veyra: I’m just kidding.

13 00:01:38.730 00:01:40.999 Miguel de Veyra: So yeah, great to finally meet you.

14 00:01:41.280 00:01:43.150 Anton Gefvert: Yeah, you too.

15 00:01:43.490 00:01:47.309 Miguel de Veyra: Sorry my place is all over. I should probably turn on my camera right now.

16 00:01:47.500 00:01:50.739 Miguel de Veyra: cause I just actually moved it from, you know, places.

17 00:01:51.040 00:01:52.037 Anton Gefvert: Oh, okay. Cool.

18 00:01:52.370 00:01:54.440 Miguel de Veyra: Like over the weekend. That’s why.

19 00:01:54.440 00:01:54.900 Anton Gefvert: Oh, really.

20 00:01:54.900 00:01:56.330 Miguel de Veyra: Always a bit late. Yeah.

21 00:01:56.330 00:01:57.310 Anton Gefvert: No, no!

22 00:01:57.916 00:01:59.699 Anton Gefvert: Did it go? Well.

23 00:02:00.836 00:02:04.690 Miguel de Veyra: It went smoothly as soon as well as I expected it. But yeah.

24 00:02:04.690 00:02:08.110 Anton Gefvert: Yeah movings, usually.

25 00:02:08.509 00:02:09.389 Miguel de Veyra: Yeah, it’s.

26 00:02:09.389 00:02:12.570 Anton Gefvert: Less less fun than you want it.

27 00:02:12.570 00:02:13.520 Anton Gefvert: You’re being yeah.

28 00:02:13.520 00:02:17.419 Miguel de Veyra: Yeah, I mean, yeah, I mean, my driver kind of helped out a lot. So.

29 00:02:17.420 00:02:18.300 Anton Gefvert: Oh, nice!

30 00:02:18.300 00:02:22.129 Miguel de Veyra: It is, and my brother was there too. But if it was just me that it would have been hell.

31 00:02:22.530 00:02:23.230 Anton Gefvert: Yeah.

32 00:02:25.242 00:02:28.969 Miguel de Veyra: But yeah, what do you call this?

33 00:02:30.070 00:02:32.830 Miguel de Veyra: I I know you’ve met with them before, right on the call. I think.

34 00:02:32.830 00:02:33.650 Anton Gefvert: Yeah, yeah.

35 00:02:35.120 00:02:39.920 Miguel de Veyra: And then, yeah, cause he’s very. He’s actually very keen to bring you in.

36 00:02:40.486 00:02:41.053 Anton Gefvert: Really.

37 00:02:41.620 00:02:46.370 Miguel de Veyra: Actually, he’s actually keen to the event. And then I was like

38 00:02:46.960 00:02:53.710 Miguel de Veyra: from our conversations. He seems like, you know, a very cool guy, someone we can hang out with. So so why not?

39 00:02:53.910 00:02:59.610 Miguel de Veyra: So? Yeah, I guess one of the things that we would want you to work on is

40 00:02:59.800 00:03:04.069 Miguel de Veyra: llama index that part because we could. Pro

41 00:03:08.440 00:03:08.855 Miguel de Veyra: sorry.

42 00:03:09.470 00:03:10.090 Miguel de Veyra: I don’t like.

43 00:03:10.090 00:03:11.239 Miguel de Veyra: I’m eating my food.

44 00:03:11.620 00:03:12.190 Anton Gefvert: Oh!

45 00:03:13.960 00:03:18.979 Miguel de Veyra: Cause what we could. Because, basically, you know, we’re like signing a couple of clients right now.

46 00:03:19.380 00:03:23.460 Miguel de Veyra: And then we’re using. Are you familiar with with any of them?

47 00:03:24.400 00:03:24.840 Anton Gefvert: Wait!

48 00:03:25.280 00:03:26.349 Miguel de Veyra: And 8 M. 2.

49 00:03:26.749 00:03:33.539 Anton Gefvert: I I saw I looked up it a bit, but it’s like a kind of work or

50 00:03:33.650 00:03:38.930 Anton Gefvert: flow. You like, make flows right with, like, yeah, yeah, and stuff, yeah.

51 00:03:39.330 00:03:44.740 Miguel de Veyra: Let me show you something. So here’s like one of the.

52 00:03:44.970 00:03:48.069 Anton Gefvert: Agents that we’re currently building internally.

53 00:03:48.220 00:03:54.009 Miguel de Veyra: We call it? Is this the ticket here? Yeah, the ticket here basically helps us create, you know.

54 00:03:54.260 00:03:56.110 Miguel de Veyra: notion tickets. So.

55 00:03:56.110 00:03:56.700 Anton Gefvert: Oh!

56 00:03:57.160 00:03:57.810 Miguel de Veyra: You can.

57 00:03:58.330 00:04:02.969 Miguel de Veyra: Yeah, it’s gonna you know. Talk to where? Where’s the AI team?

58 00:04:03.180 00:04:12.800 Miguel de Veyra: It’s gonna look something like this, where you know, you give it the transcript. You talk to it, and then it’ll give you. It’ll automatically create all these tickets.

59 00:04:13.080 00:04:13.505 Anton Gefvert: Yeah.

60 00:04:13.930 00:04:27.500 Miguel de Veyra: Well, the the goal of this was to basically just help the Pm side of things, because, you know, we have, like 8, 6 or 8 clients in the data side. And then on the client side, we’re also like ramping up. So this would be great.

61 00:04:28.713 00:04:29.540 Miguel de Veyra: But yeah.

62 00:04:29.670 00:04:32.420 Miguel de Veyra: So yeah, there’s this one. And then

63 00:04:32.910 00:04:34.899 Miguel de Veyra: one of the other things is

64 00:04:37.560 00:04:40.799 Miguel de Veyra: we recently signed the client ABC, this one.

65 00:04:42.040 00:04:46.419 Miguel de Veyra: So basically, their problem was, you know, the call centers was.

66 00:04:48.816 00:04:55.240 Miguel de Veyra: They don’t basic. It’s hard to train people on very specific, especially if it’s not their specialty right.

67 00:04:55.520 00:04:55.905 Anton Gefvert: Yeah.

68 00:04:56.290 00:05:09.779 Miguel de Veyra: Is their call center agents, not really experts and best, but you know, people call them. And then they have a question about that something about best, and if you can’t answer, then it’s gonna be, you know, it’s gonna be considered a churn rate. I guess

69 00:05:10.880 00:05:16.180 Miguel de Veyra: it’s it’s gonna hey? We’ll call you back. And then the chances that that person answers.

70 00:05:16.680 00:05:19.037 Miguel de Veyra: So this one ideally we created.

71 00:05:20.370 00:05:24.790 Miguel de Veyra: it. I think I created one demos live client

72 00:05:25.290 00:05:28.560 Miguel de Veyra: something like this. This was built in react.

73 00:05:29.200 00:05:29.550 Anton Gefvert: Yep.

74 00:05:29.550 00:05:34.199 Miguel de Veyra: But you know it’s I don’t know. I’m not the best at that. If I’m being honest.

75 00:05:35.660 00:05:44.670 Anton Gefvert: I feel like, react has become so vast. There’s like so many frameworks and tech stacks. And it’s like

76 00:05:45.070 00:05:46.800 Anton Gefvert: it’s hard to be good at reacts.

77 00:05:47.880 00:05:48.640 Miguel de Veyra: Yeah.

78 00:05:48.994 00:05:53.420 Miguel de Veyra: This this one’s built literally on react no? Next. Just yeah.

79 00:05:53.420 00:05:59.999 Miguel de Veyra: Mui. That’s it. Cause that was what I was trained on in Paypal like when I was working with them like on 2020.

80 00:06:00.590 00:06:01.830 Miguel de Veyra: 21. So yeah.

81 00:06:02.350 00:06:06.099 Anton Gefvert: So, you know, interested. Let’s just say something like this.

82 00:06:06.850 00:06:11.759 Miguel de Veyra: What’s your services for this one is an actual question.

83 00:06:12.250 00:06:15.129 Miguel de Veyra: rodent. This is this is trained on their documents.

84 00:06:15.130 00:06:15.560 Anton Gefvert: No.

85 00:06:15.560 00:06:20.030 Miguel de Veyra: But it’s only on rag. It’s enough actually trained, as you know, technical.

86 00:06:20.030 00:06:20.450 Anton Gefvert: Yeah.

87 00:06:20.450 00:06:30.190 Miguel de Veyra: It’s more on the ragged. That’s why I was interested. If you know, you have experience in actually deploying training models. Because I think that would be

88 00:06:30.580 00:06:36.019 Miguel de Veyra: I don’t know. It sounds cooler, or we don’t use rags. It’s just, and it’s faster. I would assume right.

89 00:06:37.150 00:06:40.129 Anton Gefvert: Yeah, I mean, you don’t have to get the data right?

90 00:06:40.400 00:06:44.519 Miguel de Veyra: Yeah, it’s all. So there you go. And then, yeah.

91 00:06:45.090 00:06:50.529 Miguel de Veyra: it’s basically already trained on their data. This is the demo one. And they were

92 00:06:51.100 00:06:53.049 Miguel de Veyra: technically very happy with it.

93 00:06:53.565 00:06:59.479 Miguel de Veyra: So yeah, that’s where we are right now. What we want to do now is what Utam wants to do

94 00:06:59.880 00:07:08.460 Miguel de Veyra: is basically move away from this, and then turn this more into code. And that’s why he highly recommends that we speak, because.

95 00:07:09.720 00:07:12.715 Miguel de Veyra: you know, I think he really believes in you.

96 00:07:15.025 00:07:18.659 Anton Gefvert: I’m bad impression.

97 00:07:18.770 00:07:20.950 Anton Gefvert: So that’s that’s cool, I guess.

98 00:07:22.358 00:07:31.570 Miguel de Veyra: So yeah, I guess it’s gonna be more on the llama index side of things. Or if you could recommend you know anything else. Maybe if you say.

99 00:07:31.990 00:07:37.959 Miguel de Veyra: what’s the alternative to Lama Index, is it, lamb chain? I have experience there, but I didn’t really like it. It’s too bad.

100 00:07:37.960 00:07:45.989 Anton Gefvert: I feel like I mean, it seems like a much vaster library.

101 00:07:46.790 00:07:47.290 Miguel de Veyra: Yeah.

102 00:07:48.550 00:07:52.059 Anton Gefvert: And like some people, use both of them. I don’t know.

103 00:07:52.880 00:08:00.440 Anton Gefvert: I was trying to like, figure out what the difference was. In the beginning. It was like, I feel like Lang Shane is, you know, Swiss Army knife kind of.

104 00:08:01.040 00:08:03.349 Miguel de Veyra: Yeah. It’s for all intents and purposes.

105 00:08:03.350 00:08:04.100 Anton Gefvert: Everything.

106 00:08:05.040 00:08:05.570 Miguel de Veyra: Thank you.

107 00:08:06.670 00:08:13.329 Miguel de Veyra: Yeah. So I do. You have. No, I think I asked you this before. You don’t really have much experience on both sides.

108 00:08:14.010 00:08:20.760 Anton Gefvert: No, I’m no, but I’m I’m honestly just starting to get into this whole.

109 00:08:21.280 00:08:22.819 Miguel de Veyra: Guys, oh.

110 00:08:22.820 00:08:25.979 Anton Gefvert: Or or like Llms in general cause like

111 00:08:26.480 00:08:31.910 Anton Gefvert: it kind of got big right when I like started working.

112 00:08:32.640 00:08:35.730 Anton Gefvert: And now I’m doing like an edit. So.

113 00:08:35.730 00:08:37.779 Miguel de Veyra: How old are you? By the way, if you don’t mind me asking.

114 00:08:37.789 00:08:38.449 Anton Gefvert: 9.

115 00:08:39.020 00:08:39.850 Miguel de Veyra: Oh!

116 00:08:41.130 00:08:48.379 Anton Gefvert: But I had some. My my university took longer than expected, because I I got like overworked, got a depression.

117 00:08:49.420 00:08:50.819 Miguel de Veyra: Oh, I see, I see.

118 00:08:53.220 00:09:02.679 Miguel de Veyra: Okay, yeah. I mean, then, because that’s actually we have like a new hire. And then there’s this like new platform that I didn’t really like to be honest. But

119 00:09:02.820 00:09:13.980 Miguel de Veyra: you know, the team was pushing. So I was like, Okay, that’s, you know, because I have a bias. My other developer has a bias to this existing workflow. We have right? So why.

120 00:09:13.980 00:09:14.640 Anton Gefvert: Yeah.

121 00:09:14.640 00:09:18.140 Miguel de Veyra: Throw the new hire in value and see you know

122 00:09:19.230 00:09:26.390 Miguel de Veyra: how it goes. And turns out she didn’t like it either. So we’re gonna cancel that one so.

123 00:09:26.390 00:09:28.210 Anton Gefvert: Cancel. What second.

124 00:09:28.580 00:09:32.289 Miguel de Veyra: Volume. So it’s this one. But the problem with this.

125 00:09:32.660 00:09:33.150 Anton Gefvert: Bella.

126 00:09:33.150 00:09:38.940 Miguel de Veyra: Problem. AI is that I think it’s app dot fellow.

127 00:09:39.790 00:09:40.639 Miguel de Veyra: Yeah, it’s this one.

128 00:09:40.640 00:09:41.450 Anton Gefvert: Melon.

129 00:09:42.280 00:09:43.700 Miguel de Veyra: Yeah, they’re

130 00:09:43.890 00:09:51.490 Miguel de Veyra: a Us. Company. I believe the problem with this one is, it’s just like an 8 n, you just have to code everything else.

131 00:09:54.300 00:09:56.050 Miguel de Veyra: Which doesn’t really help.

132 00:09:56.390 00:09:57.040 Anton Gefvert: Yeah.

133 00:09:57.210 00:10:04.049 Miguel de Veyra: Yeah, but it with the cool thing about this. Why, that’s why everyone is pushing is because there’s like they have evaluations.

134 00:10:04.400 00:10:05.019 Miguel de Veyra: You know, we can

135 00:10:05.020 00:10:12.750 Miguel de Veyra: create new test suites instead of us having to basically manually create this. There’s actual, you know, ways to do it.

136 00:10:13.670 00:10:16.350 Miguel de Veyra: But I think having to code everything from scratch

137 00:10:17.020 00:10:21.359 Miguel de Veyra: isn’t really the way we would want to go forward, especially.

138 00:10:21.490 00:10:26.080 Miguel de Veyra: you know, if it’s just if it’s not really like the biggest client we have, right.

139 00:10:26.530 00:10:31.039 Anton Gefvert: Yeah, yeah, I mean, I, yeah, it makes sense. But if you.

140 00:10:31.770 00:10:34.609 Miguel de Veyra: If yeah, it just goes back, I guess, to that.

141 00:10:35.280 00:10:37.899 Miguel de Veyra: To what do you call it? Workflow? Sorry

142 00:10:38.860 00:10:42.240 Miguel de Veyra: to, if you can elementor it. Why, Code, it.

143 00:10:43.140 00:10:44.516 Anton Gefvert: Yeah, I feel like,

144 00:10:46.650 00:10:52.230 Anton Gefvert: the coding. If you would use code, it would more be like, then you can make more.

145 00:10:53.336 00:11:03.370 Anton Gefvert: It’s a part of the tools right where you can like make more specified applications where like, maybe, this face isn’t enough. I don’t know how powerful it is.

146 00:11:04.300 00:11:11.909 Miguel de Veyra: Yeah, I I think the biggest thing here is that you can actually import the like Npm modules and python.

147 00:11:12.860 00:11:19.399 Miguel de Veyra: So that was good. But then, again, do we really have to do that when the client is happy with just this right.

148 00:11:19.400 00:11:19.870 Anton Gefvert: No.

149 00:11:19.870 00:11:24.770 Miguel de Veyra: Is there like? Because I I’m not a fan of over engineering things.

150 00:11:25.070 00:11:26.630 Miguel de Veyra: No, none of this.

151 00:11:26.630 00:11:27.070 Anton Gefvert: What?

152 00:11:27.070 00:11:28.380 Anton Gefvert: What’s what’s like?

153 00:11:28.970 00:11:31.060 Anton Gefvert: I am a fan of over engineering things.

154 00:11:31.556 00:11:32.053 Anton Gefvert: Yeah.

155 00:11:32.550 00:11:43.529 Anton Gefvert: Well, I I I had this discussion with a colleague today, we’re like viewing AI based using AI based tool for like coding. I don’t really do that. I value learning

156 00:11:44.130 00:11:46.649 Anton Gefvert: to code more than producing code.

157 00:11:47.180 00:11:52.090 Miguel de Veyra: Oh, yeah, I think that’s where we’re like different cause.

158 00:11:52.770 00:11:54.210 Miguel de Veyra: It’s all about deadlines.

159 00:11:54.550 00:12:01.000 Anton Gefvert: Yeah, yeah, I mean, it makes sense. You have to. You have obviously have to choose like a middle ground. It depends on what you’re working with.

160 00:12:01.000 00:12:01.519 Anton Gefvert: There it goes.

161 00:12:01.560 00:12:04.300 Anton Gefvert: Stuff like that. Yeah, obviously, like,

162 00:12:06.510 00:12:09.344 Anton Gefvert: Like, if I would develop something myself.

163 00:12:09.750 00:12:10.250 Miguel de Veyra: Definitely.

164 00:12:10.250 00:12:16.550 Anton Gefvert: For for the sake of developing something. I would never use something like this. But if I would be using

165 00:12:17.580 00:12:23.980 Anton Gefvert: like, if I need to get something quick, because I want to do it like I I would I might use something like this. It’s convenient

166 00:12:24.580 00:12:27.890 Anton Gefvert: if it’s like a proof of concept, you know, or like.

167 00:12:27.890 00:12:28.910 Miguel de Veyra: Like that. Yeah.

168 00:12:29.060 00:12:31.899 Anton Gefvert: If I if I want to set up something fast

169 00:12:32.730 00:12:39.000 Anton Gefvert: like I’m using like home assistance as like a smart home service, and I use node red to

170 00:12:39.200 00:12:44.440 Anton Gefvert: do like automations, which is basically this. But for smart home automations.

171 00:12:44.750 00:12:45.579 Miguel de Veyra: Oh, okay. Yeah.

172 00:12:45.760 00:12:48.899 Anton Gefvert: And like, there, I used like I could code stuff

173 00:12:50.319 00:12:55.310 Anton Gefvert: but I just wanna get my automations done. And like

174 00:12:55.600 00:13:01.919 Anton Gefvert: the way they call the automations is kind of shit, so I don’t wanna. I don’t care about learning that, whereas here it’s like.

175 00:13:02.300 00:13:06.410 Anton Gefvert: at least for this, like I’m I’m doing something now right? And I kinda wanna.

176 00:13:07.690 00:13:08.280 Miguel de Veyra: Okay.

177 00:13:08.280 00:13:11.640 Anton Gefvert: Learn how to code it, because I want to get like a better understanding of it.

178 00:13:11.640 00:13:19.610 Miguel de Veyra: Yeah, I mean, even this one is actually built on top of launching like this entire workflow, so

179 00:13:20.580 00:13:26.679 Miguel de Veyra: maybe we could code this and I think there’s a way to self host any then. But I don’t know. We haven’t explored it.

180 00:13:27.100 00:13:30.110 Anton Gefvert: Yeah, there is I’ve been thinking about, or like

181 00:13:30.690 00:13:39.721 Anton Gefvert: I’ve been doing a lot of home lobbying. So like I have my own server right next to me here and and again. It’s like a thing that a lot of people, self host so.

182 00:13:39.980 00:13:54.320 Miguel de Veyra: Yeah. So if you know, if we could self host it or something like that, and then I get, I think there’s a way also to code. So the modules, because you can. If you self hosted, you can bring packages in right now. That’s the limitation here is that you can bring packages in.

183 00:13:54.850 00:13:56.035 Anton Gefvert: That makes sense.

184 00:13:56.430 00:14:07.150 Miguel de Veyra: So that’s why you know, the team is kind of pushing for something, because it’s hard to integrate evolves in here, because the way you want to do it is you? You’ll send the inputs and the outputs to basically

185 00:14:07.340 00:14:14.105 Miguel de Veyra: snowflake. Or you know some other database for you to track it and then analyze it. So it’s it’s a lot of work.

186 00:14:14.860 00:14:15.660 Anton Gefvert: Yeah.

187 00:14:15.660 00:14:22.209 Miguel de Veyra: But if there’s a way we can just integrate. We’ve been talking to this guys trace loop and then some other stuff.

188 00:14:23.090 00:14:30.740 Miguel de Veyra: But we can’t integrate it directly into anytime, because it has to be through code, have to actual packages.

189 00:14:30.990 00:14:32.165 Anton Gefvert: Yeah, yeah, yeah, makes sense.

190 00:14:34.530 00:14:36.880 Miguel de Veyra: But yeah, I think that’s 1 of it.

191 00:14:38.346 00:14:39.690 Miguel de Veyra: So what do you have.

192 00:14:39.989 00:14:47.470 Anton Gefvert: Like. Why does he want to convert stuff to code like? What’s his idea behind it? Cause he feels like you have different opinions here.

193 00:14:48.628 00:14:52.540 Miguel de Veyra: Yeah, basically, this one cause he wants observability.

194 00:14:52.680 00:14:53.570 Anton Gefvert: Yeah, yeah, that’s fair.

195 00:14:53.570 00:14:54.220 Miguel de Veyra: Okay.

196 00:14:54.480 00:15:01.949 Miguel de Veyra: and I agree. But I agree with him on that that we need this. It’s just the timeframe we have. And then, you know.

197 00:15:02.240 00:15:11.269 Miguel de Veyra: I don’t think cause how this works so far for us. So I don’t wanna migrate into another, while, you know.

198 00:15:11.880 00:15:19.509 Miguel de Veyra: we’re basically not sure. Right? If we if we have someone like you to basically look into this.

199 00:15:19.920 00:15:26.630 Miguel de Veyra: Self hosted and Yada Yada, and then we can figure out how to migrate it there without affecting the production ones.

200 00:15:27.720 00:15:38.300 Miguel de Veyra: That would be the ideal scenario, because I don’t wanna develop in like vellum is very new to us. And then the plan was to migrate everything here when no one really in the team knows how to use it.

201 00:15:38.770 00:15:39.180 Anton Gefvert: Okay.

202 00:15:39.590 00:15:40.680 Miguel de Veyra: Yeah. So I was just.

203 00:15:40.680 00:15:41.919 Miguel de Veyra: But that’s another fun.

204 00:15:42.510 00:15:43.100 Anton Gefvert: Or.

205 00:15:44.050 00:15:44.899 Miguel de Veyra: Sorry, what.

206 00:15:45.120 00:15:50.699 Anton Gefvert: Does that element support code, injection, or or like? Can you use like this? Trace loop within that.

207 00:15:50.700 00:15:51.490 Miguel de Veyra: I?

208 00:15:51.830 00:15:56.350 Miguel de Veyra: No, there’s no more need for trace loop, because vellum itself has their own observation.

209 00:15:56.672 00:15:57.640 Anton Gefvert: Right, right, right.

210 00:15:58.150 00:16:03.820 Miguel de Veyra: Yeah, this one, I mean, there, here’s their notes, you know, code execution stuff like that.

211 00:16:05.390 00:16:11.289 Miguel de Veyra: Yeah, this is basically it. And the thing is cause. I value speed a lot.

212 00:16:11.480 00:16:12.080 Anton Gefvert: Yep.

213 00:16:12.440 00:16:18.590 Miguel de Veyra: Because here, for example, we wanna send it to. I don’t know. Maybe the client has ghl

214 00:16:19.410 00:16:23.130 Miguel de Veyra: right? You can just send it there. But here now you have to code everything.

215 00:16:23.650 00:16:24.194 Anton Gefvert: Hmm.

216 00:16:25.110 00:16:34.689 Miguel de Veyra: So that’s 1 of the reasons I kind of want to stay here. But I also get the the. You know the reason as to why we need observability. But if you can have both, why not right?

217 00:16:34.960 00:16:36.980 Miguel de Veyra: That would be the ideal scenario.

218 00:16:40.570 00:16:43.310 Miguel de Veyra: or, if you could code everything that would be better.

219 00:16:44.930 00:16:47.081 Anton Gefvert: I mean, if you can do it efficiently.

220 00:16:47.350 00:16:48.020 Miguel de Veyra: Yeah.

221 00:16:49.340 00:16:55.609 Miguel de Veyra: And then, yeah, I think that’s pretty much it. Oh, I, by the way, I have like a concern on your end.

222 00:16:56.120 00:16:56.560 Miguel de Veyra: Yeah.

223 00:16:56.560 00:16:58.780 Miguel de Veyra: Mentioned you mentioned yesterday.

224 00:16:58.910 00:17:04.560 Miguel de Veyra: You you have to check your contract right or something. If you’re side gigs for you.

225 00:17:05.280 00:17:09.960 Anton Gefvert: I I haven’t. It’s been kind of busy. I haven’t checked

226 00:17:11.540 00:17:18.587 Anton Gefvert: But yeah, so I don’t know how much autumn filled you in, but I’m kind of

227 00:17:19.119 00:17:20.940 Anton Gefvert: aiming for moving to Japan.

228 00:17:21.119 00:17:21.839 Miguel de Veyra: Yeah.

229 00:17:24.169 00:17:28.829 Anton Gefvert: And I think, like looking at a lot of job applications

230 00:17:28.959 00:17:33.569 Anton Gefvert: there. It seems like there, there’s a lot of them that allow side gigs

231 00:17:35.609 00:17:38.379 Anton Gefvert: but the thing is like I have another.

232 00:17:38.380 00:17:39.150 Miguel de Veyra: Interest.

233 00:17:39.320 00:17:40.080 Miguel de Veyra: Yeah.

234 00:17:40.510 00:17:47.800 Anton Gefvert: I have a yeah, that’s the current contract. I’m not sure. But like currently, I have a 3 month notice period.

235 00:17:48.740 00:17:49.680 Miguel de Veyra: That’s long.

236 00:17:50.250 00:17:56.699 Anton Gefvert: Yeah, it’s Sweden. So it’s the other way around as well. So if I get fired, I have like job safety for 3 months.

237 00:17:56.940 00:17:58.160 Miguel de Veyra: Oh, okay.

238 00:17:58.280 00:17:59.630 Anton Gefvert: It goes both ways.

239 00:18:00.110 00:18:05.894 Miguel de Veyra: Okay, yeah, that’s fine. Because here in the Philippines there’s no nothing like that. You get fired. You go out tomorrow.

240 00:18:06.170 00:18:09.512 Anton Gefvert: Yeah, no. In in Sweden you have 3 months to to clean up.

241 00:18:11.180 00:18:13.190 Miguel de Veyra: So did you already hand it over or not yet.

242 00:18:13.690 00:18:18.790 Anton Gefvert: No, I haven’t yet. I mean, it kind of depends on

243 00:18:24.750 00:18:30.950 Anton Gefvert: I I like. I’d like to have more information about what I do after those 3 months, so I’ll I’ll probably do it.

244 00:18:31.430 00:18:45.350 Anton Gefvert: depending on like job searching. And whatever the deal would be with you guys, cause it’s like I could go there on a working holiday. So then I’d have like a visa for a year, and you can like work while doing that.

245 00:18:46.030 00:18:47.120 Miguel de Veyra: Oh, I see it!

246 00:18:47.370 00:18:49.339 Anton Gefvert: And then I could like technically work

247 00:18:49.940 00:18:55.307 Anton Gefvert: from there for you guys only, for example, but that would also like

248 00:18:58.310 00:19:02.120 Miguel de Veyra: Are you planning to stay in Japan permanently, or only for a certain.

249 00:19:02.626 00:19:06.679 Anton Gefvert: That is very hard to say. I am.

250 00:19:06.990 00:19:10.439 Anton Gefvert: All I know is I. I need to try living there.

251 00:19:11.100 00:19:12.170 Miguel de Veyra: I see.

252 00:19:12.830 00:19:17.760 Anton Gefvert: So I don’t know if it’s gonna be permanent, or a couple of years, or like.

253 00:19:18.520 00:19:23.499 Miguel de Veyra: Yeah, I, personally will move to Dubai or something. So I can avoid taxes.

254 00:19:26.820 00:19:27.900 Miguel de Veyra: Axis.

255 00:19:27.900 00:19:32.410 Miguel de Veyra: Yeah, cause that doesn’t device very, very like nonexistent.

256 00:19:32.410 00:19:33.120 Anton Gefvert: Hmm.

257 00:19:33.540 00:19:34.740 Miguel de Veyra: I want to move there.

258 00:19:35.030 00:19:39.292 Anton Gefvert: It sounds expensive to live there, though, but I I have no clue.

259 00:19:39.620 00:19:43.959 Miguel de Veyra: Yeah, yeah, I mean, cause the rent I’m paying right now is around a thousand bucks a month already.

260 00:19:44.430 00:19:47.929 Miguel de Veyra: So in Dubai that you know it’s kind of the same.

261 00:19:48.220 00:19:48.670 Anton Gefvert: Yeah.

262 00:19:48.670 00:19:51.829 Miguel de Veyra: Don’t just go. I don’t drink, and then, or anything so kind of.

263 00:19:52.640 00:19:53.430 Anton Gefvert: Yeah.

264 00:19:55.417 00:19:56.432 Miguel de Veyra: But yeah,

265 00:19:57.160 00:20:03.600 Miguel de Veyra: yeah, if you could get back to me on, you know, if you’re allowed to work on sidekicks on your current contract, at least.

266 00:20:03.940 00:20:06.340 Anton Gefvert: Yeah, yeah, absolutely.

267 00:20:07.580 00:20:09.000 Miguel de Veyra: And then once.

268 00:20:09.240 00:20:15.470 Miguel de Veyra: because the way Utam brought it to me was that you’re gonna be moving to Japan like a next month or something

269 00:20:15.740 00:20:17.670 Miguel de Veyra: I wish. But no.

270 00:20:17.670 00:20:22.629 Miguel de Veyra: I was like, okay, okay, yeah. So hopefully, you’re you’re allowed to do it. But yeah.

271 00:20:22.630 00:20:31.809 Anton Gefvert: It’s it’s a minimum of 3 months from from now. Yeah, whenever I with with like.

272 00:20:32.060 00:20:35.480 Miguel de Veyra: Yeah, you have to research, is there?

273 00:20:35.740 00:20:36.410 Miguel de Veyra: Yeah.

274 00:20:36.410 00:20:37.020 Anton Gefvert: So.

275 00:20:39.260 00:20:45.320 Miguel de Veyra: Okay, yeah. I think I mean, if we could, you know, hire you next week, that would be great.

276 00:20:45.560 00:20:48.580 Miguel de Veyra: Yeah, I’m honest. I’m honestly all in like

277 00:20:48.770 00:20:50.889 Miguel de Veyra: you seem to be like a pretty cool guy.

278 00:20:51.280 00:20:52.720 Miguel de Veyra: Oh, thanks.

279 00:20:53.440 00:20:57.740 Miguel de Veyra: You know you’re someone we can cause honestly like the the

280 00:20:57.950 00:21:03.379 Miguel de Veyra: the team. How would you say decent English like the team?

281 00:21:08.280 00:21:12.450 Miguel de Veyra: I forgot the term man the commission? Basically.

282 00:21:12.920 00:21:16.180 Miguel de Veyra: Yeah, it’s very. It’s very friendly. I would say.

283 00:21:16.180 00:21:17.210 Anton Gefvert: Yeah, yeah.

284 00:21:17.210 00:21:26.770 Miguel de Veyra: Because the people I’ve worked with so far like we have 2 2 members in the team. Except for me. I’ve worked with them before I actually piloted

285 00:21:28.470 00:21:33.600 Miguel de Veyra: we were. We were working on a Polish company before. So I got one of the guys there. One of the

286 00:21:34.290 00:21:40.849 Miguel de Veyra: guys I didn’t like working with. And then one of the girls I got from like an Australian company I was previously working with.

287 00:21:41.359 00:21:47.100 Miguel de Veyra: So you know. So that’s why everyone here is like, we’re pretty much okay.

288 00:21:47.580 00:21:50.589 Miguel de Veyra: By the way, right now, your time zone is on cet right.

289 00:21:52.895 00:21:59.389 Anton Gefvert: I guess we we have. We changed like possibly one more time

290 00:22:00.764 00:22:03.610 Anton Gefvert: summertime. It’s plus one, I guess.

291 00:22:09.430 00:22:15.960 Miguel de Veyra: Okay, thank you, because that’s the other thing, though, like autumn likes the meetings very late like this late.

292 00:22:18.260 00:22:21.149 Anton Gefvert: Yeah, I mean for me, this works

293 00:22:21.270 00:22:24.179 Anton Gefvert: well, at least. Now this is like better for me.

294 00:22:25.300 00:22:25.900 Miguel de Veyra: Yeah.

295 00:22:27.670 00:22:28.370 Miguel de Veyra: Okay.

296 00:22:30.500 00:22:34.680 Miguel de Veyra: Oh, do you have like any questions for me or the company in general?

297 00:22:42.530 00:22:44.509 Anton Gefvert: What? What do you like about working there?

298 00:22:46.690 00:22:47.610 Anton Gefvert: Here?

299 00:22:49.560 00:22:52.240 Miguel de Veyra: Honestly, I I like the freedom of working here

300 00:22:52.350 00:22:59.819 Miguel de Veyra: like, of course, it’s, you know, a synchronous and everything. So I get to decide when I want, and then also really invests.

301 00:23:00.120 00:23:08.299 Miguel de Veyra: he really values research and development like some like some companies, it’s if you have to be produce produce.

302 00:23:08.480 00:23:08.880 Anton Gefvert: Yeah.

303 00:23:08.880 00:23:19.599 Miguel de Veyra: You. It’s well, of course, you have to produce something. But the you know, it’s 1 of the few companies that I’ve worked with where research. And you know, development is.

304 00:23:19.720 00:23:21.790 Miguel de Veyra: I mean, the research and

305 00:23:22.220 00:23:33.849 Miguel de Veyra: development is really valued, like, you know, try to find new things. We can improve this. It’s not just stuck to one. Hey? Here’s what we’re used to. And this is what we’re gonna use until the end of the word.

306 00:23:34.640 00:23:41.729 Miguel de Veyra: So that’s what that’s the I would say that if there’s 1 thing that I like about the company, it’s probably that one. And of course, that sync

307 00:23:42.200 00:23:49.539 Miguel de Veyra: cause I I like working at night. To be honest, I don’t like waking up early, staying up early. Yes, but not waking up. No.

308 00:23:49.540 00:23:50.270 Anton Gefvert: Yeah.

309 00:23:50.550 00:23:55.480 Miguel de Veyra: So. Yeah. And then the people also are very great. And then it’s very diverse. I would say.

310 00:23:55.930 00:23:58.479 Anton Gefvert: How many are you in the company right now?

311 00:23:59.860 00:24:02.770 Miguel de Veyra: I can’t give you an exact number, because I don’t know but it’s more.

312 00:24:02.770 00:24:03.170 Anton Gefvert: Yeah.

313 00:24:03.170 00:24:04.420 Miguel de Veyra: Steve, and I would say.

314 00:24:04.570 00:24:05.290 Anton Gefvert: Okay.

315 00:24:09.880 00:24:10.540 Miguel de Veyra: Come here.

316 00:24:12.800 00:24:14.689 Miguel de Veyra: Here’s like my oldest cat.

317 00:24:15.620 00:24:17.159 Anton Gefvert: Cat! How old is he?

318 00:24:17.660 00:24:19.770 Miguel de Veyra: Is like 3, 4 years old.

319 00:24:20.000 00:24:20.740 Anton Gefvert: Nice.

320 00:24:20.910 00:24:21.390 Miguel de Veyra: You.

321 00:24:21.390 00:24:23.519 Anton Gefvert: I’m gonna I’m gonna go grab my cat.

322 00:24:25.430 00:24:26.200 Anton Gefvert: We thought.

323 00:24:26.200 00:24:28.409 Miguel de Veyra: Gonna have. We’re gonna have a cat show.

324 00:24:31.750 00:24:37.530 Anton Gefvert: Where is he? Though you should be? Always wait.

325 00:24:38.390 00:24:39.660 Miguel de Veyra: No.

326 00:24:42.630 00:24:47.880 Anton Gefvert: He’s usually not allowed into my office room.

327 00:24:48.380 00:24:49.410 Miguel de Veyra: Okay.

328 00:24:50.620 00:24:54.169 Anton Gefvert: Have a pantry in here as well, so.

329 00:24:55.740 00:24:59.169 Miguel de Veyra: Wait! Let me get my other cat. He’s the fatter one.

330 00:25:01.030 00:25:04.083 Anton Gefvert: Will you win the fat war swingstone.

331 00:25:05.465 00:25:06.799 Miguel de Veyra: Wait, wait, wait!

332 00:25:13.760 00:25:16.749 Miguel de Veyra: Meet your Swedish counterpart.

333 00:25:19.880 00:25:20.919 Miguel de Veyra: Look at this.

334 00:25:22.680 00:25:26.080 Anton Gefvert: Oh, hello!

335 00:25:26.080 00:25:26.680 Anton Gefvert: So.

336 00:25:26.870 00:25:29.519 Miguel de Veyra: And he’s not even one years old.

337 00:25:29.850 00:25:33.540 Anton Gefvert: Yeah, this guy is approaching 8.

338 00:25:33.710 00:25:34.730 Miguel de Veyra: 8 years.

339 00:25:34.880 00:25:36.400 Anton Gefvert: Yeah, boomers.

340 00:25:36.400 00:25:38.790 Miguel de Veyra: Yeah, is approaching 11 year, 11 months.

341 00:25:38.940 00:25:39.610 Anton Gefvert: Wow!

342 00:25:39.800 00:25:40.719 Miguel de Veyra: He’s so big.

343 00:25:41.126 00:25:44.373 Anton Gefvert: Yeah, he’s big for being that young. Yeah.

344 00:25:44.780 00:25:46.150 Miguel de Veyra: I think I overfed him.

345 00:25:46.900 00:25:57.259 Anton Gefvert: Yeah, my cat, for some reason, when I’m away for a while, and I have someone else feed him. He’s like, Wow, he feels a bit bigger now.

346 00:25:57.630 00:25:59.470 Miguel de Veyra: The other one doesn’t eat as much. He’s.

347 00:25:59.470 00:26:00.330 Anton Gefvert: Wow!

348 00:26:00.700 00:26:01.800 Miguel de Veyra: Is the active one.

349 00:26:03.840 00:26:09.730 Miguel de Veyra: But yeah, any more questions at the latest.

350 00:26:10.060 00:26:11.353 Anton Gefvert: That’s related.

351 00:26:12.843 00:26:25.556 Anton Gefvert: I have a like a question. Just. I’ve been trying to figure this out. I guess I should just ask an AI, I’m so dumb. I’m just like old fashioned. I’m like Googling stuff. But like

352 00:26:26.650 00:26:33.199 Anton Gefvert: the the model, I’m currently working on it like outputs like a Json of information, should I.

353 00:26:33.200 00:26:34.269 Miguel de Veyra: Those we’re working on.

354 00:26:34.698 00:26:44.121 Anton Gefvert: The I’m working on like this project to like, scrape data from web pages and write and do- do like

355 00:26:45.298 00:26:48.290 Anton Gefvert: resume for job searching, writing stuff.

356 00:26:48.880 00:26:53.460 Anton Gefvert: And it’s like the scraping outputs like a Json of a bunch of things.

357 00:26:56.160 00:26:58.830 Anton Gefvert: Should I format that into like text

358 00:26:58.930 00:27:01.810 Anton Gefvert: as an input to an A lab.

359 00:27:02.160 00:27:03.339 Anton Gefvert: Would you reckon?

360 00:27:06.140 00:27:10.150 Anton Gefvert: Or can I like describe the schema and input it as a Json?

361 00:27:10.470 00:27:15.260 Anton Gefvert: I mean, it’s like, what kind of data structures. Do you want input to an Llm.

362 00:27:16.520 00:27:17.860 Miguel de Veyra: Well before.

363 00:27:18.500 00:27:29.680 Miguel de Veyra: are you? I think I still think like the Json stuff when everything’s outlined like here’s the description. Here’s you know, stuff like that. That would be, of course, a lot better than just raw text.

364 00:27:29.930 00:27:30.295 Anton Gefvert: Yeah.

365 00:27:31.605 00:27:38.380 Miguel de Veyra: Though I’m not sure with the newer models, I think they’re a bit smarter. It depends on the model you use. 0 3 0 1! I don’t think it matters.

366 00:27:38.550 00:27:38.940 Anton Gefvert: No. Okay.

367 00:27:38.940 00:27:41.220 Miguel de Veyra: But if it’s like, Gpt. 4, 0, yeah, then

368 00:27:41.590 00:27:45.070 Miguel de Veyra: I think that would still be better. But the newer ones I think it’s all the same.

369 00:27:46.850 00:27:47.525 Anton Gefvert: Right?

370 00:27:48.690 00:27:55.419 Anton Gefvert: Yeah. I took the output and just threw it into Gemini yesterday, and it outputted pretty good answers. So

371 00:27:55.800 00:27:57.500 Anton Gefvert: I was just like, if you have any.

372 00:27:57.500 00:28:01.140 Miguel de Veyra: Is that for the job job descriptions you have and.

373 00:28:01.565 00:28:01.990 Anton Gefvert: Yeah.

374 00:28:01.990 00:28:02.570 Miguel de Veyra: Yeah.

375 00:28:02.770 00:28:10.860 Anton Gefvert: So it actually worked really well, yesterday there was like a really like annoying application. It was like

376 00:28:11.070 00:28:13.349 Anton Gefvert: answer, 8 fucking questions.

377 00:28:13.820 00:28:25.880 Anton Gefvert: So I just scraped the job application and their website. I got like a a bunch of information. I threw it into Gemini like, answer these 8 questions, and like all of them, except for one. It answered like perfectly.

378 00:28:26.180 00:28:26.940 Anton Gefvert: Oh, nice.

379 00:28:26.940 00:28:32.949 Anton Gefvert: But I the the one it didn’t answer perfectly was like, Okay, what? What things do I like to work with, which is like, how.

380 00:28:32.950 00:28:34.580 Miguel de Veyra: Oh, yeah, yeah, yeah.

381 00:28:35.270 00:28:35.960 Miguel de Veyra: It.

382 00:28:36.580 00:28:42.260 Anton Gefvert: And then I applied. Then I got like an answer back in 6 h, like, Hello, we’re interested.

383 00:28:42.260 00:28:43.070 Miguel de Veyra: What’s there?

384 00:28:43.460 00:28:44.940 Miguel de Veyra: Oh, nice. Yeah.

385 00:28:45.150 00:28:47.720 Miguel de Veyra: Maybe by Q. 3 you’ll all be in Japan. Huh?

386 00:28:49.150 00:28:56.680 Anton Gefvert: Yeah, I’m I’m hoping to be there at by Q. 2. Honestly, it feels like it’s going pretty well with the job.

387 00:28:56.940 00:28:58.829 Anton Gefvert: I have 2 interviews tomorrow.

388 00:28:59.790 00:29:00.600 Miguel de Veyra: Good luck!

389 00:29:01.820 00:29:04.510 Anton Gefvert: But it’s a grind. It takes so much time.

390 00:29:04.510 00:29:05.150 Miguel de Veyra: Yeah.

391 00:29:05.450 00:29:08.400 Miguel de Veyra: And then also the time zones, you know.

392 00:29:09.840 00:29:10.670 Anton Gefvert: Hmm.

393 00:29:10.670 00:29:12.180 Miguel de Veyra: The time. Zones, isn’t it a bit.

394 00:29:12.180 00:29:19.980 Anton Gefvert: Yeah, yeah, I’m having like interviews in the morning every day like

395 00:29:20.460 00:29:21.180 Miguel de Veyra: Oh, yeah.

396 00:29:21.620 00:29:23.499 Anton Gefvert: I don’t think I have.

397 00:29:26.030 00:29:28.420 Anton Gefvert: I feel like we’ve discussed very much.

398 00:29:28.420 00:29:29.549 Miguel de Veyra: Majority of India.

399 00:29:29.550 00:29:30.170 Anton Gefvert: Yeah.

400 00:29:30.170 00:29:38.720 Miguel de Veyra: By the way, yeah, I think this one note, if you were like, if we were like to work together, what I’m planning to do basically is like.

401 00:29:39.060 00:29:41.389 Miguel de Veyra: put you on the research department.

402 00:29:41.510 00:29:42.190 Miguel de Veyra: You know.

403 00:29:42.190 00:29:43.700 Anton Gefvert: Yeah, yeah, that’s that’s.

404 00:29:43.700 00:29:46.710 Miguel de Veyra: That’s probably where I’ll put it. I already talked to Utam about it.

405 00:29:47.040 00:29:55.359 Miguel de Veyra: And then, you know, because I I based on his, you know words. You’re very good at coding. So I was like, Yeah, we’ll send him into research department.

406 00:29:55.560 00:30:05.000 Miguel de Veyra: And then, if you know, we sell, for example, self host any time we could just train you could, you know, help train the team members on that

407 00:30:05.140 00:30:12.279 Miguel de Veyra: before we use it for live. But that’s basically probably where I would recommend to Utah.

408 00:30:12.280 00:30:12.860 Anton Gefvert: Okay.

409 00:30:13.010 00:30:14.260 Miguel de Veyra: Yeah, yeah.

410 00:30:14.260 00:30:18.770 Miguel de Veyra: I think in your end, it’s not really cause you’re gonna have a main job in Japan. Once you move

411 00:30:18.950 00:30:22.330 Miguel de Veyra: right? So the last thing I want for you to do is

412 00:30:22.510 00:30:25.639 Miguel de Veyra: like there’s client deadlines for both companies. The same.

413 00:30:25.640 00:30:26.070 Anton Gefvert: Yeah.

414 00:30:26.070 00:30:31.789 Miguel de Veyra: And you’re struggling. If it’s R&D, you know, it’s very, you know.

415 00:30:32.460 00:30:36.330 Miguel de Veyra: Relax not really relax, but different type of pressure.

416 00:30:36.330 00:30:37.383 Anton Gefvert: Yeah, yeah.

417 00:30:39.551 00:30:45.080 Miguel de Veyra: But yeah, I think that’s pretty much it. I don’t really have any more questions. I think this meeting was very nice.

418 00:30:45.450 00:30:46.259 Anton Gefvert: Good. Yeah, me, too.

419 00:30:46.260 00:30:50.340 Miguel de Veyra: Just productive. Yeah, I think that’s pretty much it.

420 00:30:50.780 00:30:54.599 Miguel de Veyra: It’s already 1230. My time midnight.

421 00:30:54.600 00:30:55.330 Anton Gefvert: Oh!

422 00:30:57.620 00:31:00.480 Miguel de Veyra: And I still have, like 2 or 3 meetings to go to. So yeah.

423 00:31:00.480 00:31:02.946 Anton Gefvert: Oh, good luck!

424 00:31:05.000 00:31:15.550 Miguel de Veyra: Okay, yeah, thanks, Anton. I’ll if it would be great for you to let us know when you can. You know if that your contact allows you so we could, you know, decide soon as possible.

425 00:31:15.690 00:31:21.740 Miguel de Veyra: because we have, like another big client signing this week or next. So.

426 00:31:22.430 00:31:22.750 Anton Gefvert: Yes.

427 00:31:22.750 00:31:25.540 Miguel de Veyra: We’re all we’re hands. We’re all hands on deck. So yeah.

428 00:31:25.540 00:31:26.493 Anton Gefvert: Nice, cool.

429 00:31:27.480 00:31:28.479 Miguel de Veyra: Okay. Thanks. Anton.

430 00:31:28.480 00:31:31.279 Anton Gefvert: Good luck. Yeah, thank you. Have fun with your meetings.

431 00:31:31.860 00:31:35.159 Miguel de Veyra: Thank you. Bye, bye. Good luck on your interviews. Bye, bye.