Meeting Title: ABC Standup Date: 2025-07-30 Meeting participants: Awaish Kumar, Casie Aviles, Mustafa Raja, Amber Lin, Annie Yu


WEBVTT

1 00:06:23.190 00:06:24.270 Amber Lin: Hello!

2 00:06:26.880 00:06:37.540 Amber Lin: See, we’ll go over the data site real quick. I know, Annie, you did Prs for these 2

3 00:06:38.235 00:06:41.750 Amber Lin: can Vasa or Oi review these.

4 00:06:43.740 00:06:50.079 Awaish Kumar: I hear I already reviewed it. I just need like there are conflicts in the Pr.

5 00:06:50.820 00:06:54.280 Awaish Kumar: I want any to resolve them, so I can multi.

6 00:06:55.260 00:06:55.930 Amber Lin: Okay.

7 00:06:56.340 00:06:59.190 Annie Yu: And did you leave a comment on where that is?

8 00:07:00.060 00:07:05.009 Awaish Kumar: If you open the Pr. At the bottom, it says the Pr. Has conflicts.

9 00:07:07.950 00:07:10.000 Awaish Kumar: Can I show we show.

10 00:07:10.000 00:07:12.199 Amber Lin: Yeah, yeah, totally share your screen, please.

11 00:07:21.780 00:07:22.779 Awaish Kumar: No, this one.

12 00:07:25.340 00:07:35.250 Awaish Kumar: So in this Pr. If you just scroll down, says that this branch has conflict that must be resolved.

13 00:07:36.720 00:07:45.050 Awaish Kumar: So in this file. There are some changes which are conflicted with the

14 00:07:46.920 00:07:50.860 Awaish Kumar: like the previous changes, or something like that. So you have to just see whatever.

15 00:07:54.670 00:08:08.229 Annie Yu: I’m looking at this source now, and there’s no error code. But yesterday it did, just because of the the thing that you you helped fix. But right now there’s no error code.

16 00:08:08.940 00:08:13.790 Awaish Kumar: No, no, I’m I’m not talking about the error in the data.

17 00:08:15.510 00:08:18.970 Awaish Kumar: I’m talking about the this file.

18 00:08:21.310 00:08:26.230 Annie Yu: Yeah, this file is the one that’s directly connecting the S. 3 detail reports.

19 00:08:26.230 00:08:29.860 Awaish Kumar: Yeah, but this has some conflicts, conflicts.

20 00:08:31.120 00:08:33.589 Awaish Kumar: conflicts in terms of Github means.

21 00:08:35.179 00:08:36.950 Awaish Kumar: So if you click on that.

22 00:08:37.820 00:08:42.220 Awaish Kumar: so you can see like these are. These are the conflicting changes.

23 00:08:42.380 00:08:44.039 Awaish Kumar: and we need to resolve it.

24 00:08:51.250 00:08:52.100 Annie Yu: And.

25 00:08:52.610 00:08:57.859 Awaish Kumar: Which line is correct, one. Just keep that and remove the other one, which we should be good here.

26 00:08:58.130 00:09:06.390 Awaish Kumar: for example, detailed, or what is the difference, like, I think it just differences that

27 00:09:06.530 00:09:08.130 Awaish Kumar: it’s in a separate line.

28 00:09:08.420 00:09:12.640 Awaish Kumar: Try this, remove this at this.

29 00:09:15.800 00:09:19.010 Awaish Kumar: Basically, I resolve this right now. But yeah, like

30 00:09:19.630 00:09:21.140 Awaish Kumar: you should be able to do it.

31 00:09:23.580 00:09:26.310 Annie Yu: So they have to be in one line is that it.

32 00:09:26.490 00:09:31.180 Awaish Kumar: No, no! The conflicts in the Github in the terms of Github the conflict means

33 00:09:32.950 00:09:35.250 Awaish Kumar: you have pushed some changes

34 00:09:35.760 00:09:44.549 Awaish Kumar: in the Github. In some file. You write some code right? And then you push it to Github. And, for example, I also write something, and I push it to Github.

35 00:09:44.720 00:09:46.250 Annie Yu: No, but I’m.

36 00:09:46.760 00:09:50.540 Awaish Kumar: My changes are merged and yours are not yet merged.

37 00:09:51.030 00:10:00.120 Awaish Kumar: So what happens is that and your changes does not align with what I already marked. So it will ask you to confirm right

38 00:10:00.330 00:10:02.639 Awaish Kumar: which one to keep and which one to

39 00:10:02.740 00:10:05.899 Awaish Kumar: remove. So you have to do it like that.

40 00:10:06.940 00:10:13.470 Awaish Kumar: So as just added right now, like I, I removed that line which was at the bottom

41 00:10:14.768 00:10:22.969 Awaish Kumar: and we kept. I just kept this single line here and now the conflicts are resolved.

42 00:10:23.500 00:10:28.830 Awaish Kumar: So we can basically make this. They have.

43 00:10:34.200 00:10:35.140 Annie Yu: Got it.

44 00:10:39.230 00:10:41.120 Awaish Kumar: Okay, sure.

45 00:10:42.710 00:10:45.920 Amber Lin: Oh, okay, so I’ll close these.

46 00:10:51.150 00:10:53.984 Amber Lin: but I want I need to review

47 00:10:55.940 00:10:59.650 Awaish Kumar: Review the data escalation. We got right?

48 00:11:00.190 00:11:08.510 Annie Yu: Yeah, I’ll check again with what I queried earlier. I’ll let you know if they they all match now or not.

49 00:11:08.940 00:11:13.769 Awaish Kumar: Yeah, please let that discrepancy ticket which is assigned to Ashley. Can we reassign it to Annie.

50 00:11:16.450 00:11:21.969 Awaish Kumar: So like Vastem, has no context here. So I would like any. If you can just take some time and.

51 00:11:21.970 00:11:22.340 Amber Lin: Okay.

52 00:11:22.910 00:11:26.879 Awaish Kumar: And see if it matches with the client screenshot, and then we can let them know.

53 00:11:27.760 00:11:33.449 Amber Lin: Okay. Awesome. I guess. One last thing on the data side.

54 00:11:33.680 00:11:37.830 Amber Lin: Rasha, I don’t. I think you don’t have access to anything right yet. Right?

55 00:11:40.190 00:11:41.329 Awaish Kumar: Sorry, who.

56 00:11:42.190 00:11:46.049 Amber Lin: Does. Vash Vashav. I don’t think you have access to anything.

57 00:11:46.610 00:11:51.120 Awaish Kumar: I’ve given him the like. He has access to real data.

58 00:11:51.290 00:11:53.569 Awaish Kumar: Casey has already given him taxes.

59 00:11:54.300 00:11:56.340 Awaish Kumar: I already gave access to Snowflake.

60 00:11:56.520 00:11:57.720 Amber Lin: Oh, okay.

61 00:11:58.020 00:12:04.050 Awaish Kumar: ABC. Like. I don’t know if I can add him into github I can check.

62 00:12:06.680 00:12:07.620 Amber Lin: Oh, okay.

63 00:12:07.620 00:12:10.509 Awaish Kumar: Yeah, I can. I can’t add it to Github. So like you can ask.

64 00:12:10.915 00:12:11.319 Amber Lin: Okay.

65 00:12:11.520 00:12:16.780 Awaish Kumar: I don’t know who is the admin on the Github side. We can ask him like if it is Utam or Casey.

66 00:12:17.550 00:12:18.379 Amber Lin: I see.

67 00:12:19.110 00:12:30.270 Amber Lin: Oh, okay, ask Ricko to add slash, add, real sounds like,

68 00:12:33.770 00:12:37.618 Amber Lin: yeah. And also our, I think also our

69 00:12:38.100 00:12:39.379 Awaish Kumar: Also one more thing like.

70 00:12:39.380 00:12:40.649 Amber Lin: Large? Account. Yeah.

71 00:12:40.954 00:12:46.729 Awaish Kumar: Casey, like Ashley, I don’t still don’t have access to S. 3. Can you please huddle with him

72 00:12:47.020 00:12:48.320 Awaish Kumar: to resolve that.

73 00:12:49.420 00:12:50.470 Casie Aviles: Okay. Sure.

74 00:13:04.350 00:13:08.919 Amber Lin: Okay, sounds good.

75 00:13:13.740 00:13:23.490 Amber Lin: 1, st 3 access. Yeah. And then probably ABC, account, one pass.

76 00:13:23.820 00:13:28.520 Amber Lin: Okay, yeah. I think that’s all for the data side.

77 00:13:29.356 00:13:42.000 Amber Lin: Any. Do you know this is all we have from David? I think you can ask him any questions, but it’ll be great if we can look at how we currently classify things, and then we can let them know.

78 00:13:42.825 00:13:50.329 Annie Yu: I think I will let, I’ll let you know. But if it’s still not match, that’s something from the upstream.

79 00:13:52.330 00:13:53.300 Amber Lin: Okay.

80 00:13:55.700 00:13:56.490 Awaish Kumar: Sorry.

81 00:13:58.820 00:14:01.099 Annie Yu: Yeah, I’ll I’ll take a look and let you know.

82 00:14:01.580 00:14:03.849 Amber Lin: Yeah. And he’s saying that if it

83 00:14:04.060 00:14:12.539 Amber Lin: if it’s not a classification thing that we did in real, then it’s probably something upstream of how we ingested data cause, I think we’re off.

84 00:14:12.540 00:14:17.349 Annie Yu: There are 2 place where I would check, I would have to check my.

85 00:14:19.740 00:14:23.990 Annie Yu: I also check directly from S. 3. I will do these 2 things.

86 00:14:24.330 00:14:29.399 Awaish Kumar: Yeah, any. I just read, and some of the pipelines. And I see the data for 21st

87 00:14:29.940 00:14:31.470 Awaish Kumar: looks good now.

88 00:14:31.600 00:14:34.399 Awaish Kumar: So if you can just read on your query like

89 00:14:34.600 00:14:37.540 Awaish Kumar: you have already shared the shared a screenshot where.

90 00:14:37.840 00:14:38.940 Annie Yu: Yeah, I’ll run the same.

91 00:14:39.330 00:14:39.720 Awaish Kumar: Yeah.

92 00:14:40.480 00:14:41.130 Annie Yu: Yeah.

93 00:14:41.130 00:14:41.830 Amber Lin: Okay?

94 00:14:42.450 00:14:46.570 Amber Lin: Awesome. Yeah. Thanks to you all that. I think that’s all for the data side.

95 00:14:46.950 00:14:47.480 Amber Lin: Oh.

96 00:14:47.480 00:14:48.300 Annie Yu: Yeah. Thanks.

97 00:14:48.700 00:14:49.980 Amber Lin: Yeah. Awesome.

98 00:14:53.570 00:14:57.380 Amber Lin: Oh, okay.

99 00:15:10.350 00:15:15.350 Amber Lin: alright. Sorry questions here. So

100 00:15:17.400 00:15:20.439 Amber Lin: that’s done. We’ll close that out.

101 00:15:21.335 00:15:25.360 Amber Lin: They have granted access. Closing that out.

102 00:15:26.524 00:15:29.180 Amber Lin: I’m doing this one.

103 00:15:29.950 00:15:31.160 Amber Lin: Okay?

104 00:15:35.390 00:15:36.979 Amber Lin: Is this, added.

105 00:15:40.120 00:15:42.220 Casie Aviles: Sorry. I’m very sharing your screen.

106 00:15:42.730 00:15:48.589 Amber Lin: Oh, I’m sorry I am not my bad here, this one.

107 00:15:48.690 00:15:53.359 Amber Lin: I close out a few tickets. So right now this is what’s left.

108 00:15:56.760 00:15:58.069 Casie Aviles: Yeah. So

109 00:15:58.220 00:16:04.539 Casie Aviles: we we did work on this, the 5, 4, 6, we added the we created like a document.

110 00:16:04.980 00:16:05.650 Amber Lin: Oh!

111 00:16:06.126 00:16:08.880 Casie Aviles: Yeah, you can go and click on this ticket.

112 00:16:08.880 00:16:09.260 Amber Lin: Okay.

113 00:16:09.830 00:16:14.810 Casie Aviles: I think, below. Yes, and although we have to review this, there might be some.

114 00:16:14.910 00:16:20.280 Casie Aviles: because we just did. We just gave this to AI and

115 00:16:20.610 00:16:24.840 Casie Aviles: move to the right. These are the. This is the copy, and this is the flattened one.

116 00:16:27.540 00:16:31.219 Casie Aviles: For the spreadsheet, and then the other one is for, like the central doc.

117 00:16:33.950 00:16:36.490 Casie Aviles: I mean the other link in the ticket. But yeah.

118 00:16:37.640 00:16:42.119 Amber Lin: Oh, wait! What is this one for.

119 00:16:42.120 00:16:44.330 Casie Aviles: All divisions. Yeah. This one.

120 00:16:45.180 00:16:47.030 Amber Lin: Oh!

121 00:16:47.240 00:16:48.890 Casie Aviles: I just flattened it.

122 00:16:51.450 00:16:53.899 Amber Lin: I see. Wait!

123 00:16:56.220 00:16:58.709 Amber Lin: Oh, oh, wrong one.

124 00:17:04.589 00:17:05.690 Amber Lin: Oh, okay.

125 00:17:06.140 00:17:10.500 Amber Lin: The mechanical phone list.

126 00:17:13.818 00:17:17.249 Casie Aviles: We. I’m not sure what this sheet, 29 is. We just found it there.

127 00:17:17.250 00:17:20.589 Amber Lin: Sorry. Sorry that was me. Let me delete that.

128 00:17:22.906 00:17:23.503 Amber Lin: Okay.

129 00:17:24.912 00:17:27.869 Mustafa Raja: Yeah, for this one. Can we go.

130 00:17:29.110 00:17:29.620 Amber Lin: Yeah.

131 00:17:33.900 00:17:37.890 Casie Aviles: Yeah, this is in a separate doc, for now we didn’t want to add it

132 00:17:38.130 00:17:42.110 Casie Aviles: to dump everything in the mean

133 00:17:43.200 00:17:49.130 Casie Aviles: mechanical central. Doc. We have to review this. We might have to review this as well.

134 00:17:49.899 00:17:53.849 Amber Lin: Do you know if AI changed anything when it added this.

135 00:17:55.929 00:18:03.429 Casie Aviles: The I’m I think that it’s likely that there are some changes. We just pasted like, the

136 00:18:03.680 00:18:06.679 Casie Aviles: what do you call this? Yeah. Yeah. Each sheet into.

137 00:18:06.680 00:18:07.930 Amber Lin: Oh!

138 00:18:07.930 00:18:10.439 Casie Aviles: Chat, gpt, and generated this.

139 00:18:11.830 00:18:18.200 Amber Lin: Okay, I think. Let me give this to them to see.

140 00:18:18.720 00:18:26.779 Amber Lin: Okay, let’s just do a quick initial check. If it’s good enough, I’ll hand it over to them for them to edit

141 00:18:26.990 00:18:31.409 Amber Lin: like I just want. We just have to be good enough like it doesn’t have to be.

142 00:18:31.580 00:18:32.569 Casie Aviles: Okay, perfect.

143 00:18:32.850 00:18:36.520 Amber Lin: Because that let’s let’s see. So for Hvac.

144 00:18:37.180 00:18:38.040 Casie Aviles: Yeah, it’s.

145 00:18:38.590 00:18:39.510 Amber Lin: Oh!

146 00:18:40.190 00:18:42.270 Casie Aviles: Like the grouping is all over the place.

147 00:18:44.370 00:18:46.849 Amber Lin: Yeah. Service. Times.

148 00:18:49.810 00:18:50.969 Casie Aviles: Yeah, it’s this row.

149 00:18:52.480 00:18:55.430 Amber Lin: M. Costco leads.

150 00:18:58.590 00:19:05.160 Amber Lin: Okay, ticket. Let’s go down here. Let’s check administrative and scheduling.

151 00:19:05.720 00:19:08.199 Amber Lin: Oh, oh, what?

152 00:19:08.310 00:19:12.720 Amber Lin: Well did you give it instructions that it has to go down like this

153 00:19:13.080 00:19:16.610 Amber Lin: like this section as one section.

154 00:19:22.600 00:19:27.460 Casie Aviles: Yeah, I think that that’s that part’s a little unclear with the AI.

155 00:19:29.070 00:19:37.090 Amber Lin: Cause it’s checking. I don’t think this has, like residential.

156 00:19:51.210 00:19:51.930 Casie Aviles: Okay.

157 00:19:54.770 00:19:55.940 Amber Lin: Let me see.

158 00:20:12.930 00:20:13.870 Amber Lin: Check.

159 00:20:16.090 00:20:18.560 Amber Lin: Okay.

160 00:20:29.070 00:20:30.830 Amber Lin: and just like con.

161 00:20:31.060 00:20:36.120 Amber Lin: Paste it without any, without any formatting

162 00:20:39.860 00:20:46.690 Amber Lin: and then just checking here. Okay, that’s true. Flat rate repairs.

163 00:20:51.200 00:21:03.679 Amber Lin: Yeah, I’m mostly just doing this like we might need to

164 00:21:04.710 00:21:10.080 Amber Lin: do a manual thing because it’s just I don’t. I just don’t know how this is currently structured

165 00:21:10.300 00:21:13.480 Amber Lin: might not be what they.

166 00:21:14.040 00:21:14.720 Casie Aviles: Okay.

167 00:21:14.720 00:21:15.730 Amber Lin: They need

168 00:21:19.850 00:21:24.180 Amber Lin: See branding.

169 00:21:28.140 00:21:33.160 Amber Lin: like most of the times, I do think good. We can

170 00:21:34.440 00:21:42.879 Amber Lin: just control shift just copy without formatting, and then kind of edit this, or ask AI to

171 00:21:43.110 00:21:56.979 Amber Lin: like, maybe copy it over, and then give AI this to asset, to make it look nicer. But I do think we need to follow this format, or else they’re not gonna understand where things has gone.

172 00:21:58.530 00:21:59.619 Casie Aviles: I see? Yeah.

173 00:22:00.030 00:22:00.790 Amber Lin: Yeah.

174 00:22:02.940 00:22:09.559 Amber Lin: Was it clear how how this sheet was structured?

175 00:22:13.040 00:22:17.174 Casie Aviles: I mean, I mean what what we’re like. We were trying to understand this.

176 00:22:17.900 00:22:21.109 Casie Aviles: it looks like there are several groupings like.

177 00:22:21.350 00:22:25.430 Casie Aviles: you know with the it starts with like the merge cells.

178 00:22:26.090 00:22:31.129 Casie Aviles: So I think, yeah, we’ll have to consider that.

179 00:22:32.060 00:22:36.389 Amber Lin: Hmm, I see.

180 00:22:37.150 00:22:44.809 Amber Lin: Yeah, I mostly it’s like columns. So I usually I I would just

181 00:22:45.890 00:22:52.140 Amber Lin: copy and paste these columns there and then move on to the next column.

182 00:22:52.610 00:22:54.979 Amber Lin: starting here and then go down.

183 00:22:55.370 00:23:10.379 Amber Lin: and then just some quick bullet points based on how they are. See? Like, if there’s this F and queues, and then I think these would all be bullet points, since these are all F and F and queues, so I would

184 00:23:10.640 00:23:22.570 Amber Lin: do that and then like, if there’s any formatting needs, we can do that as well.

185 00:23:25.240 00:23:30.390 Amber Lin: But mostly just to have things. There would be nice.

186 00:23:32.760 00:23:37.389 Casie Aviles: Okay, yeah, we’ll we’ll have to revisit this. These sheets.

187 00:23:37.780 00:23:46.540 Amber Lin: Okay, I think the spreadsheet, the flattened spreadsheets is good, so we will be.

188 00:23:47.860 00:23:55.190 Mustafa Raja: Oh, yeah, regarding the flattened web sheet spreadsheets. Can you open up the mechanical phone number once.

189 00:23:56.620 00:23:58.100 Amber Lin: Yeah, let me do that.

190 00:24:04.150 00:24:06.179 Mustafa Raja: There would be a phone number one.

191 00:24:09.860 00:24:20.279 Mustafa Raja: Yeah, if we on the top. Yeah. If for the second column and for the 4th column. What should be the name of the column?

192 00:24:22.773 00:24:23.336 Mustafa Raja: And

193 00:24:23.900 00:24:24.639 Amber Lin: Using, what.

194 00:24:24.640 00:24:29.690 Mustafa Raja: Yeah, this one, I, this one, this one. I need to do

195 00:24:29.980 00:24:32.730 Mustafa Raja: some of them. I need to split.

196 00:24:36.846 00:24:39.150 Amber Lin: Okay, let’s see, so

197 00:24:39.340 00:24:46.290 Amber Lin: this is usually zip codes, they don’t always have zip codes and they have phone oh, wow, that’s a mess.

198 00:24:46.470 00:24:50.029 Amber Lin: Okay? So they have air. These are airy.

199 00:25:06.300 00:25:07.210 Amber Lin: Oh.

200 00:25:11.030 00:25:16.140 Amber Lin: I think we need to unmerge.

201 00:25:16.380 00:25:18.430 Amber Lin: Yeah. Oh, gosh! I’m worried.

202 00:25:18.430 00:25:20.280 Mustafa Raja: Yeah, this one needs to be unmerged.

203 00:25:21.160 00:25:32.249 Amber Lin: Yeah, so so, okay, wow, how do they make this spreadsheet?

204 00:25:32.810 00:25:36.799 Amber Lin: Anyways, let me know if you have any questions.

205 00:25:37.720 00:25:43.680 Mustafa Raja: Yeah, for the 4th column. What should be the name of it? And I believe I need to create another column, because.

206 00:25:47.700 00:25:53.729 Mustafa Raja: yeah, for the area and the second column. I might need to split them all.

207 00:25:55.040 00:25:56.210 Amber Lin: Hmm, okay.

208 00:25:57.130 00:26:09.380 Amber Lin: Maybe if we copy to see if we can copy this to hear.

209 00:26:12.520 00:26:14.430 Amber Lin: why can’t we?

210 00:26:15.690 00:26:17.520 Amber Lin: Oh, wow!

211 00:26:23.440 00:26:27.030 Amber Lin: Is okay.

212 00:26:40.210 00:26:42.869 Amber Lin: Why is this like this?

213 00:26:44.090 00:26:54.269 Amber Lin: Oh, my, really, okay, I can’t do. I can’t do this now. We’ll have to ask you.

214 00:26:54.660 00:26:55.520 Mustafa Raja: Yeah.

215 00:26:55.880 00:26:58.339 Amber Lin: Figure this out. Okay, I will.

216 00:26:58.880 00:27:00.650 Amber Lin: Okay, I’ll leave this to you.

217 00:27:01.000 00:27:06.870 Amber Lin: So I’ll stand spreadsheets.

218 00:27:18.410 00:27:18.780 Casie Aviles: And.

219 00:27:19.760 00:27:22.669 Amber Lin: We have a list of the ones, the central, though.

220 00:27:22.820 00:27:23.700 Casie Aviles: Points.

221 00:27:26.440 00:27:27.290 Amber Lin: Okay.

222 00:27:27.700 00:27:31.599 Casie Aviles: It. Yeah, yeah, it’s just it’s below. It’s a comment in the tick.

223 00:27:32.300 00:27:34.039 Amber Lin: Okay, yeah, sounds good.

224 00:27:34.670 00:27:37.730 Amber Lin: So we peace.

225 00:27:38.900 00:27:39.999 Casie Aviles: Yeah, this one.

226 00:27:47.660 00:27:50.670 Amber Lin: Back to it again. I’m sorry about that, guys.

227 00:27:50.960 00:27:57.500 Amber Lin: We’ll we’ll we’ll do it quick. Copy and paste it as AI to format it.

228 00:27:58.174 00:28:02.430 Amber Lin: I just think we missed too much, and and that will be an issue.

229 00:28:06.330 00:28:13.270 Casie Aviles: Yeah, sure. Sure. No problem. Yeah. The reason we did just dump it in the in chat. Gpt was because.

230 00:28:13.750 00:28:15.620 Amber Lin: I was initially like.

231 00:28:15.900 00:28:21.489 Casie Aviles: Getting each block, and then I was pasting, and then I was copying, so it felt kind of.

232 00:28:22.010 00:28:22.999 Amber Lin: It was, it was.

233 00:28:23.000 00:28:23.690 Casie Aviles: Manuel.

234 00:28:23.690 00:28:33.320 Amber Lin: Yeah, yeah, yeah, yeah. I think we’ll. We’ll just copy over and then add any links.

235 00:28:34.480 00:28:37.339 Amber Lin: Add any? Oh, my, how do we.

236 00:28:38.680 00:28:39.829 Casie Aviles: Yeah, this is really.

237 00:28:39.830 00:28:40.300 Amber Lin: If you could.

238 00:28:40.300 00:28:40.870 Casie Aviles: Understand.

239 00:28:40.870 00:28:48.140 Amber Lin: Get rid of. How do we get rid of tables? Can I just copy the tables and get rid of tables.

240 00:28:50.800 00:28:59.370 Casie Aviles: What I I do for tables. I just I I would give to chat, gpt, and say like

241 00:29:00.040 00:29:03.530 Casie Aviles: format this, not as a table something like that.

242 00:29:04.170 00:29:07.900 Amber Lin: Oh, okay, yeah. I think that I think that works.

243 00:29:09.520 00:29:11.889 Amber Lin: I would love for it to keep

244 00:29:12.160 00:29:20.419 Amber Lin: the links. So I think the only change we need to do is to go by this column.

245 00:29:20.810 00:29:29.219 Amber Lin: copy and paste it, and then go to the next column and just take a little bit longer than the entire than the copy, and pasting the entire one.

246 00:29:32.140 00:29:32.920 Casie Aviles: Okay.

247 00:29:32.920 00:29:37.430 Amber Lin: Why, yeah, you might need to do some

248 00:29:37.980 00:29:41.579 Amber Lin: like me. You might need to read this and then

249 00:29:41.710 00:29:45.060 Amber Lin: see how we can add it, because it’s not.

250 00:29:45.060 00:29:54.330 Casie Aviles: Yeah, consistent. Like the the groupings. Right? It’s like different blocks of group. Yeah, different groups.

251 00:29:54.330 00:29:54.960 Amber Lin: Yeah.

252 00:29:54.960 00:29:56.150 Casie Aviles: Different places.

253 00:29:56.560 00:30:00.480 Amber Lin: Yeah. So we’ll have to deal with that.

254 00:30:01.140 00:30:03.040 Casie Aviles: Okay, yeah, we’ll we’ll just

255 00:30:03.820 00:30:06.340 Casie Aviles: be more granular, I guess, with.

256 00:30:06.340 00:30:11.749 Amber Lin: Sorry about that guys. Oh, no, I have to hop. I’m so sorry I’m late for interview.

257 00:30:12.656 00:30:13.439 Casie Aviles: Sure sure go back.

258 00:30:13.810 00:30:14.560 Mustafa Raja: Yeah. Okay. Bye-bye.

259 00:30:14.790 00:30:15.370 Casie Aviles: Bye, bye.

260 00:30:15.370 00:30:16.409 Amber Lin: You die!