Meeting Title: Daily AI Team Sync Date: 2025-02-26 Meeting participants: Miguel De Veyra, Casie Aviles, Janna Wong


WEBVTT

1 00:01:22.470 00:01:27.460 Miguel de Veyra: Hey, Casey, while we’re waiting, refresh your screen

2 00:01:35.200 00:01:36.390 Miguel de Veyra: and you see it.

3 00:01:37.560 00:01:38.030 Casie Aviles: Yeah.

4 00:01:38.500 00:01:40.600 Miguel de Veyra: Give me a 2 min caveat I got.

5 00:01:41.530 00:01:44.930 Miguel de Veyra: Make it around.

6 00:01:47.560 00:01:48.199 Casie Aviles: A I.

7 00:01:48.200 00:01:49.130 Janna Wong: Okay. Nayoon.

8 00:01:51.350 00:01:52.470 Janna Wong: Yeah, yeah.

9 00:01:52.470 00:01:53.630 Miguel de Veyra: Oh, really nice!

10 00:01:54.440 00:01:56.040 Miguel de Veyra: Wait! Let me reload.

11 00:01:57.950 00:02:01.509 Janna Wong: Nasheet, Anggulunang, Kanil.

12 00:02:02.540 00:02:03.613 Miguel de Veyra: Great Sorry.

13 00:02:04.150 00:02:06.960 Janna Wong: Oh, sorry! Wait long. Save Kumana.

14 00:02:12.600 00:02:13.759 Janna Wong: a young saving.

15 00:02:14.080 00:02:15.809 Miguel de Veyra: Men can know how to men.

16 00:02:16.300 00:02:16.690 Casie Aviles: Oh!

17 00:02:17.080 00:02:20.670 Miguel de Veyra: Oh, yeah, that’s a new one.

18 00:02:22.110 00:02:24.950 Casie Aviles: Big boy that makes sense.

19 00:02:26.316 00:02:27.089 Miguel de Veyra: For C.

20 00:02:29.570 00:02:33.910 Miguel de Veyra: Robert Gilliam Ettore, and pray good!

21 00:02:34.810 00:02:36.499 Miguel de Veyra: Can you like how that?

22 00:02:39.270 00:02:40.869 Miguel de Veyra: Oh, next week I thought.

23 00:02:41.290 00:02:42.550 Casie Aviles: Nice.

24 00:02:44.030 00:02:47.040 Miguel de Veyra: And then boom.

25 00:02:49.210 00:02:49.760 Casie Aviles: And

26 00:02:53.560 00:02:54.510 Miguel de Veyra: Next week.

27 00:02:54.910 00:02:55.640 Miguel de Veyra: Alright. Sir.

28 00:02:56.740 00:02:59.830 Miguel de Veyra: Okay.

29 00:03:02.370 00:03:16.789 Janna Wong: Basically, column. I mean, yeah, column headings on that. So if you check 80 x area.

30 00:03:17.720 00:03:28.459 Janna Wong: So yeah, let’s say, CC, Zips, able Zip area, Yung Kanilang heading so Bawa Nilang Palitanyon.

31 00:03:28.710 00:03:30.090 Janna Wong: So I.

32 00:03:30.220 00:03:32.459 Miguel de Veyra: Sorry my bad, my bad sorry. Didn’t ignore.

33 00:03:32.460 00:03:33.160 Janna Wong: Sorry.

34 00:03:33.300 00:03:34.320 Janna Wong: It’s all good.

35 00:03:35.756 00:03:36.570 Miguel de Veyra: Sorry again.

36 00:03:38.112 00:03:42.090 Janna Wong: Group area. Those zip codes maintained.

37 00:03:42.090 00:03:43.610 Miguel de Veyra: Yeah, there’s.

38 00:03:43.610 00:04:01.470 Janna Wong: Is the sa zips check Mayor sa zips na sheet by yong.

39 00:04:01.470 00:04:02.070 Miguel de Veyra: New.

40 00:04:02.300 00:04:04.360 Janna Wong: Yeah. Company.

41 00:04:06.130 00:04:06.940 Janna Wong: Oh, oh.

42 00:04:08.095 00:04:11.210 Miguel de Veyra: Yeah, because it’s technically anonymous.

43 00:04:11.730 00:04:13.980 Miguel de Veyra: I mean, technically, pony, I think, is a little.

44 00:04:14.590 00:04:17.560 Janna Wong: Yeah, comparing, yeah.

45 00:04:17.560 00:04:23.820 Miguel de Veyra: It’s, or could you disregard the long young 1st 2.

46 00:04:24.210 00:04:27.000 Janna Wong: Hey, Masira! Yu.

47 00:04:28.680 00:04:34.109 Miguel de Veyra: Hi sashit. Mismo. Yeah. Yeah. Sashit mismo tri mo saba.

48 00:04:34.960 00:04:35.480 Janna Wong: But.

49 00:04:35.480 00:04:36.190 Miguel de Veyra: Enjoyable.

50 00:04:36.550 00:04:37.430 Janna Wong: Yeah. Desktop.

51 00:04:41.550 00:04:45.570 Miguel de Veyra: Na dito yung filter.

52 00:04:46.980 00:04:47.355 Janna Wong: Oh,

53 00:04:48.300 00:04:49.289 Janna Wong: Think you know.

54 00:04:52.810 00:04:57.470 Miguel de Veyra: The patrol and

55 00:05:02.060 00:05:07.590 Miguel de Veyra: right column line, option, Hellotaluba.

56 00:05:07.590 00:05:08.560 Janna Wong: Oh, oh.

57 00:05:13.540 00:05:19.500 Janna Wong: Korea! Other option is to remove the top 2 chess.

58 00:05:19.650 00:05:20.550 Janna Wong: Yeah.

59 00:05:20.550 00:05:25.160 Miguel de Veyra: I mean, technically, yeah, let’s just remove it for now.

60 00:05:25.420 00:05:25.820 Janna Wong: Oh.

61 00:05:30.520 00:05:32.130 Janna Wong: oh, yeah. Yeah.

62 00:05:32.380 00:05:34.590 Miguel de Veyra: It wouldn’t matter in.

63 00:05:35.150 00:05:37.830 Janna Wong: Doesn’t matter.

64 00:05:39.170 00:05:41.669 Miguel de Veyra: Yeah, this one.

65 00:05:41.670 00:05:42.499 Janna Wong: You see the.

66 00:05:42.740 00:05:48.020 Miguel de Veyra: And then ask a frozen region. Sure

67 00:05:53.615 00:05:55.070 Miguel de Veyra: know? Yeah, yeah.

68 00:05:55.610 00:05:59.990 Janna Wong: The rest. U.S.A, so, yeah.

69 00:06:00.970 00:06:02.789 Miguel de Veyra: Okay, okay.

70 00:06:05.630 00:06:11.989 Miguel de Veyra: In the 1st place, was this one.

71 00:06:12.570 00:06:17.240 Miguel de Veyra: So it didn’t request actually what the fuck do.

72 00:06:20.355 00:06:22.370 Casie Aviles: Sheets.

73 00:06:22.370 00:06:26.300 Miguel de Veyra: Yeah, that was, for example, idea is over here.

74 00:06:26.610 00:06:27.920 Miguel de Veyra: My God, I don’t know.

75 00:06:35.160 00:06:38.819 Miguel de Veyra: Llm, basic Llm chain detail.

76 00:06:40.440 00:06:53.249 Miguel de Veyra: And then, hey, I know, you know. Basically, I know zip code, para, logging contacts. Nung agent.

77 00:06:53.930 00:06:57.019 Miguel de Veyra: No. Another. Basically. Llm chain detail.

78 00:06:59.390 00:07:09.710 Miguel de Veyra: You’re giving context, near is Hello, for example, sliced.

79 00:07:12.200 00:07:15.000 Miguel de Veyra: Yeah, we’ll own point the rest.

80 00:07:16.320 00:07:17.849 Casie Aviles: Oh, gets. Gets.

81 00:07:17.850 00:07:26.439 Miguel de Veyra: And then updating. So around weekly, or, you know, every other day.

82 00:07:31.900 00:07:35.650 Miguel de Veyra: Para, every request is always up to date.

83 00:07:36.690 00:07:38.449 Casie Aviles: Oh, I needed, you know.

84 00:07:38.450 00:07:39.640 Miguel de Veyra: Lead generator.

85 00:07:40.170 00:07:42.860 Miguel de Veyra: I. So I think it is going in.

86 00:07:51.190 00:07:51.820 Casie Aviles: Yeah.

87 00:07:52.360 00:07:53.620 Miguel de Veyra: I don’t want a bottle

88 00:07:57.460 00:08:07.639 Miguel de Veyra: pag Gaga meeting Paga meeting response Neto

89 00:08:07.840 00:08:12.020 Miguel de Veyra: to unlimited output net return as a response. Edit field.

90 00:08:14.440 00:08:16.660 Miguel de Veyra: or else in sugar, Ghana at all.

91 00:08:18.850 00:08:28.120 Casie Aviles: I guess, and filter node, paramas, Panesha.

92 00:08:29.250 00:08:29.550 Miguel de Veyra: Yeah.

93 00:08:29.550 00:08:30.530 Casie Aviles: Enter your own path.

94 00:08:31.500 00:08:32.020 Miguel de Veyra: Okay.

95 00:08:32.020 00:08:36.480 Casie Aviles: In buying tab order, but.

96 00:08:36.530 00:08:38.459 Miguel de Veyra: I mean, he’s a guy.

97 00:08:38.460 00:08:42.920 Casie Aviles: Switch, pala, you switch, yeah, yeah, yeah.

98 00:08:50.160 00:08:50.980 Janna Wong: Oh!

99 00:08:52.270 00:08:54.860 Miguel de Veyra: So yeah, aggregate that in detail, no.

100 00:08:58.000 00:09:05.069 Janna Wong: So let me know if Magsa save you. Code, sa.

101 00:09:05.070 00:09:06.279 Miguel de Veyra: That’s a good. That’s a good night.

102 00:09:07.160 00:09:19.470 Miguel de Veyra: They will deploy live, switch song. Dapatneto is Llm. Tap a switch not easy.

103 00:09:19.800 00:09:25.209 Casie Aviles: Yeah, that was union check.

104 00:09:25.530 00:09:29.630 Miguel de Veyra: Yeah.

105 00:09:30.210 00:09:30.870 Casie Aviles: Hmm.

106 00:09:31.390 00:09:33.909 Miguel de Veyra: The regular one detail shit.

107 00:09:38.585 00:09:41.370 Casie Aviles: Contains!

108 00:09:43.570 00:09:44.230 Casie Aviles: Oh!

109 00:09:47.220 00:09:52.690 Miguel de Veyra: Sure good longer to check me.

110 00:09:53.100 00:09:55.199 Miguel de Veyra: Check the previous one

111 00:09:59.200 00:10:00.109 Miguel de Veyra: very soon.

112 00:10:00.520 00:10:06.930 Miguel de Veyra: Yeah, that’s basically top of stop it again.

113 00:10:13.790 00:10:15.409 Janna Wong: Here we go along all good.

114 00:10:15.580 00:10:17.000 Miguel de Veyra: Or a Long island.

115 00:10:19.430 00:10:20.620 Miguel de Veyra: And I haven’t delete.

116 00:10:20.940 00:10:21.610 Miguel de Veyra: Yeah.

117 00:10:22.950 00:10:24.700 Miguel de Veyra: So that particular detail.

118 00:10:30.151 00:10:31.039 Casie Aviles: Go on and on.

119 00:10:31.180 00:10:34.910 Casie Aviles: Gagawa kapa ng condition mo na pasi 0 lang in.

120 00:10:35.400 00:10:36.840 Miguel de Veyra: Detail before, no.

121 00:10:36.840 00:10:38.320 Casie Aviles: You switch you switch.

122 00:10:38.320 00:10:41.229 Janna Wong: Which, because it’s not a new one.

123 00:10:41.420 00:10:44.509 Casie Aviles: Young Routing Rule.

124 00:10:44.510 00:10:45.880 Janna Wong: Oh, my God!

125 00:10:48.689 00:10:51.769 Miguel de Veyra: Hassle nun.

126 00:10:53.100 00:10:57.150 Miguel de Veyra: Okay? So if value is submis 80 x.

127 00:11:00.290 00:11:01.010 Miguel de Veyra: huh?

128 00:11:01.250 00:11:02.630 Miguel de Veyra: Is equal to.

129 00:11:04.252 00:11:08.500 Casie Aviles: Output Llm. Value one.

130 00:11:09.144 00:11:11.749 Miguel de Veyra: Okay, it’s equal to value 2.

131 00:11:12.180 00:11:16.930 Miguel de Veyra: So 0 a 1 is equal equal to a 1.

132 00:11:19.950 00:11:24.030 Casie Aviles: M. 0 to satamas.

133 00:11:30.320 00:11:31.839 Miguel de Veyra: How was 8? 2, 2.

134 00:11:32.170 00:11:34.320 Casie Aviles: And May Isa Park.

135 00:11:38.450 00:11:40.359 Miguel de Veyra: Nice, easy.

136 00:11:42.190 00:11:44.269 Miguel de Veyra: So to 1st of all, an attendant to basically.

137 00:11:45.600 00:11:48.720 Miguel de Veyra: I mean deeper. You know, I’m doing a logic.

138 00:11:49.820 00:11:51.760 Casie Aviles: A 3, a 3.

139 00:11:52.080 00:12:00.150 Miguel de Veyra: A 4 to a 4, 85 to 85 in terms of run

140 00:12:04.740 00:12:06.780 Miguel de Veyra: a 4 Ni favored.

141 00:12:14.850 00:12:17.329 Casie Aviles: Either drag me one output.

142 00:12:17.330 00:12:19.200 Miguel de Veyra: Contains contains Nalano.

143 00:12:20.840 00:12:23.140 Casie Aviles: Oh, Malaga!

144 00:12:24.880 00:12:26.439 Miguel de Veyra: Contains no longer.

145 00:12:27.500 00:12:29.900 Miguel de Veyra: I don’t. I don’t recommend. Demo contains.

146 00:12:33.210 00:12:35.610 Casie Aviles: Depende. Kung.

147 00:12:35.970 00:12:42.110 Casie Aviles: Wedding contains Varamasa may contain district in Bogos.

148 00:12:46.160 00:12:50.519 Casie Aviles: but you generate no money, no, a no, a IA.

149 00:12:50.520 00:12:52.390 Miguel de Veyra: Back in the venue. I don’t know.

150 00:12:52.710 00:12:53.440 Miguel de Veyra: Structure.

151 00:12:59.370 00:13:02.180 Miguel de Veyra: That’s your name. Quite honestly. Your executions.

152 00:13:03.690 00:13:06.319 Miguel de Veyra: you know. 57 seconds pre.

153 00:13:11.480 00:13:15.450 Miguel de Veyra: In the 1st one. Is it Czechnye, Parejo?

154 00:13:16.640 00:13:17.370 Casie Aviles: -

155 00:13:17.590 00:13:21.890 Miguel de Veyra: For maximum accuracy and generic same run.

156 00:13:26.130 00:13:31.610 Casie Aviles: Automatically execution context.

157 00:13:36.055 00:13:36.440 Casie Aviles: Oh.

158 00:13:39.190 00:13:42.580 Miguel de Veyra: 57 in total process

159 00:13:46.450 00:13:50.639 Miguel de Veyra: at Pagalneto didn’t go to Categalta before

160 00:13:54.958 00:13:57.229 Miguel de Veyra: Gemini, 1.5 pro. Then.

161 00:13:59.250 00:14:01.489 Casie Aviles: Oh, I see. Nova huh!

162 00:14:02.360 00:14:03.870 Casie Aviles: Oh, for sales! Hub!

163 00:14:05.410 00:14:10.600 Casie Aviles: Germany 1.5 pro pero Yung.

164 00:14:11.010 00:14:11.520 Miguel de Veyra: Yeah.

165 00:14:16.040 00:14:21.680 Miguel de Veyra: 27,000.

166 00:14:23.236 00:14:24.540 Casie Aviles: For I don’t know.

167 00:14:24.540 00:14:25.909 Miguel de Veyra: Oh, no, at all.

168 00:14:26.360 00:14:29.229 Miguel de Veyra: 20! I don’t know. 20,000 tokens.

169 00:14:31.050 00:14:33.900 Casie Aviles: Yeah, depending on the tokenizer.

170 00:14:34.090 00:14:39.069 Miguel de Veyra: Oh, but oh, I mean way below 1.5 per, and it’s very accurate still.

171 00:14:39.860 00:14:41.030 Casie Aviles: It’s gonna die.

172 00:14:48.310 00:14:55.950 Miguel de Veyra: But I would assume right. I think it’s safe to assume. If it’s only looking at Texas, then it doesn’t have to check everything else.

173 00:14:57.160 00:14:57.860 Casie Aviles: Hmm.

174 00:14:58.140 00:15:05.370 Miguel de Veyra: Trying. Like, as you know, output game, output, detail, Linux in denate

175 00:15:08.060 00:15:10.339 Miguel de Veyra: cause. Then I’ve been again in February and June.

176 00:15:14.880 00:15:17.699 Miguel de Veyra: If I don’t know

177 00:15:20.910 00:15:26.260 Miguel de Veyra: action and take a boys. Take a long check along.

178 00:15:26.810 00:15:27.909 Miguel de Veyra: I’m not so sure.

179 00:15:32.060 00:15:38.360 Miguel de Veyra: Okay, never mind. You know over there. How, indeed? It is

180 00:15:41.730 00:15:46.599 Miguel de Veyra: only what is relevant?

181 00:15:46.790 00:15:47.610 Miguel de Veyra: Boom?

182 00:15:48.660 00:15:53.050 Miguel de Veyra: Not everything, not every detail.

183 00:15:53.210 00:15:54.829 Miguel de Veyra: Not a complete breakdown.

184 00:15:54.940 00:15:55.740 Miguel de Veyra: No

185 00:16:04.600 00:16:05.910 Miguel de Veyra: streamline, new

186 00:16:22.250 00:16:25.740 Miguel de Veyra: 1 million no!

187 00:16:32.550 00:16:33.960 Miguel de Veyra: Who’s it?

188 00:16:34.650 00:16:35.820 Miguel de Veyra: Editor?

189 00:16:37.890 00:16:40.420 Miguel de Veyra: Who’s our assignment?

190 00:16:42.420 00:16:47.999 Miguel de Veyra: Who should? Who’s our maintenance maintenance. Those are

191 00:16:57.130 00:16:58.500 Miguel de Veyra: each data

192 00:17:04.660 00:17:08.070 Miguel de Veyra: on Bill Schneider make errors of snowflake

193 00:17:12.960 00:17:17.720 Miguel de Veyra: or long username, anyways. But that’s fine.

194 00:17:25.540 00:17:33.370 Miguel de Veyra: that bush. But you know, saving in Nigeria, I thought.

195 00:17:36.320 00:17:37.373 Janna Wong: No, you.

196 00:17:37.900 00:17:47.800 Miguel de Veyra: Blueberry 7 seconds.

197 00:17:51.260 00:17:53.720 Miguel de Veyra: Try not and go into from here.

198 00:18:04.190 00:18:06.380 Miguel de Veyra: 8, 51 butter, 10 o’clock. Me.

199 00:18:07.470 00:18:09.070 Janna Wong: I should know.

200 00:18:25.840 00:18:29.380 Miguel de Veyra: General Mashado.

201 00:18:32.950 00:18:37.390 Janna Wong: Chat, Masa Velong waiting for the output.

202 00:18:53.120 00:18:53.950 Miguel de Veyra: No.

203 00:19:02.260 00:19:05.110 Miguel de Veyra: but after I

204 00:19:14.110 00:19:15.820 Miguel de Veyra: the toxin, will be listening to me

205 00:19:23.550 00:19:25.260 Miguel de Veyra: 38 seconds to show.

206 00:19:28.730 00:19:35.749 Miguel de Veyra: Well, I guess, like we have to refine this prompt only check one.

207 00:19:37.730 00:19:38.500 Miguel de Veyra: Alright.

208 00:19:39.710 00:19:46.220 Miguel de Veyra: But yeah, we’ll see, because it was a Friday, and I would assume my demo dies on Friday.

209 00:19:47.360 00:19:51.559 Miguel de Veyra: But yeah, I think for this should be okay. I’ll just fix the prompt

210 00:19:51.970 00:19:54.580 Miguel de Veyra: while waiting for meeting. Try to get them

211 00:19:55.250 00:20:01.220 Miguel de Veyra: the time as low as possible, and then my time go about today.

212 00:20:01.420 00:20:02.173 Janna Wong: And then.

213 00:20:02.550 00:20:06.610 Miguel de Veyra: Yeah, because ideally, the asseming.

214 00:20:07.780 00:20:08.970 Miguel de Veyra: It’s a little bit.

215 00:20:09.590 00:20:11.220 Miguel de Veyra: But yeah, I’ll just work on this.

216 00:20:12.870 00:20:16.289 Janna Wong: Okay, okay, let me know. Na lang per update. Kayong sedin.

217 00:20:16.510 00:20:17.040 Miguel de Veyra: Yeah, yeah.

218 00:20:17.040 00:20:18.310 Janna Wong: Thank you.

219 00:20:18.310 00:20:23.080 Miguel de Veyra: Okay, yeah, I think that’s it for ABC home at all.

220 00:20:23.560 00:20:27.159 Miguel de Veyra: This is later 33 30 am. And then this is.

221 00:20:27.930 00:20:29.729 Miguel de Veyra: I don’t know. I’ve emailed them.

222 00:20:31.420 00:20:34.519 Miguel de Veyra: I’ve emailed them. And I’ve also tagged.

223 00:20:37.640 00:20:43.547 Miguel de Veyra: Yeah, they’re not going to, Stephen. So up to them, maybe I assign

224 00:20:45.680 00:20:53.460 Miguel de Veyra: little brown boy evils. I don’t know what to do here. To be honest, my evils!

225 00:20:54.750 00:20:58.610 Miguel de Veyra: What do you think of this?

226 00:21:00.190 00:21:03.610 Miguel de Veyra: Based in golden annoyed.

227 00:21:04.710 00:21:05.580 Miguel de Veyra: You’re scoring.

228 00:21:05.580 00:21:06.190 Casie Aviles: Yeah, but.

229 00:21:07.500 00:21:14.510 Miguel de Veyra: So dependent should you do it, so dependent on.

230 00:21:16.110 00:21:18.810 Casie Aviles: Okay. Ng, Gaga meeting only comparison.

231 00:21:19.080 00:21:27.469 Miguel de Veyra: Yeah, dependent on golden data set. And then rigorous testing is the depending.

232 00:21:29.960 00:21:34.149 Miguel de Veyra: So yeah, go and find on dashboard 2, 3

233 00:21:38.800 00:21:43.010 Miguel de Veyra: frequently asked questions.

234 00:21:43.500 00:21:47.169 Casie Aviles: Hindi Bayong, Rillion, Yung for.

235 00:21:47.780 00:21:54.640 Miguel de Veyra: In the online numbers in general. Better like, for example, I don’t know.

236 00:21:55.120 00:21:55.830 Casie Aviles: Hang on!

237 00:21:59.600 00:22:03.469 Miguel de Veyra: To be honest.

238 00:22:05.080 00:22:07.140 Miguel de Veyra: Posagna, we’ll see you later.

239 00:22:07.950 00:22:13.050 Miguel de Veyra: But yeah, moving over to Junior Bm.

240 00:22:15.890 00:22:17.239 Miguel de Veyra: Brokers are a bit of agency.

241 00:22:17.830 00:22:19.319 Casie Aviles: Everything took a while.

242 00:22:19.520 00:22:20.410 Casie Aviles: Sad.

243 00:22:20.680 00:22:23.010 Casie Aviles: Yeah. So.

244 00:22:24.930 00:22:29.450 Miguel de Veyra: 1035, now.

245 00:22:29.980 00:22:34.210 Casie Aviles: Oh, I never mentioned. So yeah, you know yong Nalangaman

246 00:22:34.320 00:22:44.169 Casie Aviles: for me. Yeah, for the for the summary of the work that I’ve done is, I just set up the

247 00:22:44.900 00:22:46.020 Casie Aviles: slack bot

248 00:22:46.410 00:22:55.549 Casie Aviles: for Javi Javi coffee, the client. So it’s already on AI agents and AI test channel. I see I’ll share instead.

249 00:22:56.190 00:22:57.100 Miguel de Veyra: Yeah, hold on! Hold on!

250 00:23:01.416 00:23:03.350 Casie Aviles: Yeah. So I worked on

251 00:23:04.400 00:23:09.919 Casie Aviles: on turning the Github repo. So we have like a script that does that. So

252 00:23:11.214 00:23:16.599 Casie Aviles: it turns the git repository into text which should be fed to the Llm.

253 00:23:18.917 00:23:21.210 Casie Aviles: Yeah. So that’s that part’s done. And

254 00:23:22.290 00:23:24.722 Casie Aviles: what else do I need for that?

255 00:23:25.980 00:23:32.090 Casie Aviles: just to give you an idea as well from on what I showed Witham yesterday.

256 00:23:33.700 00:23:40.320 Casie Aviles: yeah. So I have this. I have 2 workflows for for this solution. So there’s

257 00:23:40.560 00:23:42.149 Casie Aviles: this context loader.

258 00:23:42.690 00:23:47.379 Casie Aviles: So what it does is it takes the text file that I created

259 00:23:48.030 00:23:51.639 Casie Aviles: that. That’s that that we converted the git repo to

260 00:23:52.474 00:23:57.909 Casie Aviles: and then it also takes stock messages from Snowflake Zoom transcripts.

261 00:23:58.550 00:24:02.809 Casie Aviles: and then some of the notion page contents. So not not all just.

262 00:24:02.810 00:24:03.310 Miguel de Veyra: Sure.

263 00:24:05.490 00:24:09.479 Casie Aviles: Yeah, just this.

264 00:24:09.480 00:24:11.690 Miguel de Veyra: One workflow contains all. No.

265 00:24:14.141 00:24:18.110 Casie Aviles: This entire workflow does Github snowflake?

266 00:24:19.250 00:24:25.244 Casie Aviles: Yeah. Just gets the gets everything into one context. So

267 00:24:26.880 00:24:28.319 Miguel de Veyra: Let me show the.

268 00:24:34.672 00:24:41.310 Casie Aviles: To Para scheduled to indisia contact.

269 00:24:41.310 00:24:42.719 Miguel de Veyra: Slow dirtha.

270 00:24:42.720 00:24:46.310 Casie Aviles: Yes, yes, indeed! No no.

271 00:24:46.310 00:24:47.080 Miguel de Veyra: Apology.

272 00:24:51.250 00:24:52.319 Casie Aviles: Now column.

273 00:24:54.610 00:24:57.709 Miguel de Veyra: So some of the so many historial context drive.

274 00:24:58.170 00:24:59.919 Casie Aviles: Yeah, Google, docsa.

275 00:25:01.060 00:25:03.270 Miguel de Veyra: So.

276 00:25:04.730 00:25:05.960 Casie Aviles: Yeah, basically.

277 00:25:07.060 00:25:09.440 Miguel de Veyra: Structured pasha or basically role.

278 00:25:12.960 00:25:15.140 Casie Aviles: Peru.

279 00:25:15.810 00:25:21.550 Casie Aviles: So one of my game, Javi, and then go, Arthur.

280 00:25:23.410 00:25:26.080 Casie Aviles: 8 excellent delete the flow.

281 00:25:27.730 00:25:33.119 Casie Aviles: But yeah, basically, Nata Manchester is on Google drive a Google Doc.

282 00:25:33.940 00:25:42.230 Casie Aviles: The post irred me at all. So each chat context, Meron, at the moment.

283 00:25:43.320 00:25:44.159 Miguel de Veyra: Oh, yeah. Yeah.

284 00:25:44.160 00:25:49.760 Casie Aviles: Adita Paleong Anu in the file. Login, a local URL.

285 00:25:50.110 00:25:52.330 Casie Aviles: That was fine function.

286 00:25:52.730 00:25:56.529 Casie Aviles: Yeah. Pagchina, India, Tasha Gana Pugchatna.

287 00:25:56.790 00:26:02.280 Casie Aviles: Better variables. Kasi Diko Inang. I just for.

288 00:26:02.601 00:26:04.530 Miguel de Veyra: Yeah, yeah, makes sense. Makes sense.

289 00:26:05.180 00:26:05.800 Miguel de Veyra: Okay.

290 00:26:05.800 00:26:06.310 Casie Aviles: Yeah.

291 00:26:06.580 00:26:07.710 Casie Aviles: In long. No man.

292 00:26:08.140 00:26:09.860 Miguel de Veyra: Yeah, people are going.

293 00:26:10.420 00:26:18.030 Casie Aviles: Malong for Eden, also Kero voilapa.

294 00:26:18.030 00:26:20.413 Miguel de Veyra: We got it from ABC.

295 00:26:24.460 00:26:25.090 Casie Aviles: I don’t care.

296 00:26:25.090 00:26:28.840 Miguel de Veyra: Are there no meetings, documents, repo.

297 00:26:30.520 00:26:37.180 Casie Aviles: No Yung email based on the call yesterday. Parang secondary Nalong Dong Monato.

298 00:26:37.620 00:26:40.180 Miguel de Veyra: Yeah, yeah.

299 00:26:40.180 00:26:44.150 Casie Aviles: More on slack channels.

300 00:26:50.390 00:26:51.310 Casie Aviles: Okay?

301 00:26:51.680 00:26:54.919 Miguel de Veyra: Repository lang yan.

302 00:26:55.460 00:26:59.559 Casie Aviles: Wala wala wang pull request, wala rin yung commit.

303 00:26:59.560 00:27:00.170 Miguel de Veyra: Code, long term.

304 00:27:00.170 00:27:03.010 Casie Aviles: Directory structure in long.

305 00:27:03.590 00:27:10.840 Miguel de Veyra: I see. Okay, okay, yeah, I think that’s pretty much it is. Yeah.

306 00:27:11.740 00:27:13.569 Miguel de Veyra: The land in Lane, is it? Later?

307 00:27:14.450 00:27:19.100 Miguel de Veyra: Okay, okay, great job. Casey.

308 00:27:20.410 00:27:20.990 Miguel de Veyra: Yeah.

309 00:27:20.990 00:27:23.816 Casie Aviles: Thanks for calling him next to work.

310 00:27:27.170 00:27:29.350 Casie Aviles: Mehran, PA Naman.

311 00:27:29.850 00:27:34.259 Miguel de Veyra: Next steps.

312 00:27:35.720 00:27:36.450 Casie Aviles: Yeah.

313 00:27:36.740 00:27:39.009 Miguel de Veyra: The tedious work tapus down. Rn, demo.

314 00:27:48.560 00:27:50.910 Miguel de Veyra: Okay, yeah. I think that’s pretty much it. Now.

315 00:27:53.050 00:27:54.662 Miguel de Veyra: Okay, thanks everyone.

316 00:27:55.320 00:28:02.290 Miguel de Veyra: yeah, Jenna, I’ll keep you posted, Casey, if ever I might, you know. Hop on a call with you just to finalize some stuff around.

317 00:28:03.380 00:28:04.310 Casie Aviles: Yeah, sure. Sure.

318 00:28:04.570 00:28:08.170 Miguel de Veyra: Okay. Okay.

319 00:28:08.850 00:28:09.590 Casie Aviles: Assist.

320 00:28:10.162 00:28:11.879 Miguel de Veyra: Meeting number here.

321 00:28:13.240 00:28:15.210 Miguel de Veyra: All right, guys, yeah, bye-bye.

322 00:28:15.863 00:28:16.589 Janna Wong: Thank you.