Meeting Title: ABC Standup Date: 2025-07-17 Meeting participants: Luke Daque, Casie Aviles, Mustafa Raja, Annie Yu, Amber Lin


WEBVTT

1 00:03:37.620 00:03:38.820 Amber Lin: Hello!

2 00:03:40.540 00:03:41.090 Mustafa Raja: Hey!

3 00:03:43.038 00:03:46.430 Amber Lin: Let’s let me share screen.

4 00:03:47.410 00:03:50.740 Amber Lin: So here.

5 00:03:58.730 00:04:07.790 Amber Lin: Okay, so let’s look at the bottom ones.

6 00:04:08.407 00:04:12.339 Amber Lin: Duke, are you able to set up the Dbt. For today.

7 00:04:15.440 00:04:19.069 Luke Daque: Yeah, that’s what I am working on at the moment.

8 00:04:19.079 00:04:24.219 Amber Lin: Okay, awesome. And the Timestamps were available right for Annie.

9 00:04:25.210 00:04:31.710 Luke Daque: They are, but I looks like they’re not showing up in the S. 3 bucket at the moment, so.

10 00:04:31.710 00:04:32.050 Amber Lin: Oh!

11 00:04:32.050 00:04:38.209 Luke Daque: Trying to figure out like, why, it’s not showing up, even if we already updated the pipeline. So that’s.

12 00:04:38.765 00:04:39.320 Amber Lin: Okay.

13 00:04:39.320 00:04:40.370 Luke Daque: In progress.

14 00:04:40.640 00:04:47.380 Amber Lin: I see, feel free to ask away. If you you find something that you’re stuck just just ask him. He’ll help.

15 00:04:47.380 00:04:48.650 Luke Daque: Should be good already.

16 00:04:48.650 00:04:56.530 Amber Lin: Oh, yeah, awesome. Okay. And then, Annie, I saw the dashboards.

17 00:04:58.210 00:05:00.690 Amber Lin: I know you push the Pr.

18 00:05:01.130 00:05:03.520 Amber Lin: Where can I find it?

19 00:05:04.140 00:05:06.540 Amber Lin: Is there a link in the ticket?

20 00:05:08.160 00:05:12.910 Amber Lin: Oh, here, wait. Which one is this?

21 00:05:13.050 00:05:15.330 Amber Lin: Th-this one. Okay.

22 00:05:18.390 00:05:20.550 Amber Lin: Okay. Awesome. That’s

23 00:05:20.680 00:05:28.800 Amber Lin: that’s what I wanted. That’s it. And then next week we can work on adding the joining the bot stuff.

24 00:05:33.360 00:05:34.310 Amber Lin: Hello!

25 00:05:34.640 00:05:40.759 Amber Lin: Oh, Hi, Annie, you’re muted! If you’re if you’re not here. I know you also have Eden work?

26 00:05:41.503 00:05:42.610 Amber Lin: I guess.

27 00:05:42.610 00:05:49.600 Annie Yu: I also got a another thing from fan steak. I’m not sure if you’re in there. I don’t even.

28 00:05:49.600 00:05:50.540 Amber Lin: No.

29 00:05:50.540 00:05:52.060 Annie Yu: Okay, goodbye. I have to work.

30 00:05:52.060 00:05:57.781 Amber Lin: I see I see I have. No, I have no clue. What’s going on in fan steak?

31 00:05:58.648 00:06:01.440 Annie Yu: Like a deck or something.

32 00:06:01.620 00:06:24.749 Amber Lin: I see, I see, I think, for the bot assisted calls, since Luke will be away early next week. We probably have to use the real joins. For now. But, Luke, as long as you can make sure that we do get the timestamp data in there, I think that’s more important than Dbt. Annie can work with it earlier next week.

33 00:06:25.800 00:06:35.069 Luke Daque: That sounds good. It should be the the detail report thing. But yeah, as soon as it gets into the S. 2 bucket, then we should be able to use it as a source.

34 00:06:35.510 00:06:50.730 Amber Lin: Okay. Sounds good I’ll check in. Probably I’ll I’ll ask Annie if she’s able to see it tomorrow you’ll be away so as a wish to help with that. If it’s still not done, then but that’s good. Thank you both feel free to hop off.

35 00:06:51.770 00:06:53.170 Annie Yu: Yeah, thank, you.

36 00:06:53.170 00:06:53.860 Amber Lin: Thanks.

37 00:06:55.580 00:06:59.400 Amber Lin: Okay, Mustafa. I think the templates work

38 00:06:59.710 00:07:06.220 Amber Lin: pretty pretty well. Okay. I’ll add any new templates there.

39 00:07:07.075 00:07:18.400 Amber Lin: Okay, I’ll do that when cause I’m working with the Csrs, and they’ll add it when it’s needed. Have you start? Okay? You started this one. Do you need any

40 00:07:18.510 00:07:28.749 Amber Lin: like any more specifications do we have like a prototype, we can test before we before we make that.

41 00:07:29.270 00:07:56.680 Mustafa Raja: Yeah. So I’m working on this. It’s pretty much done. It should take me an hour or 2 more to get this up and running. So what I would need is the put section in new in a new in a different document. Right? So should I create one? Or do we have that document already?

42 00:07:57.166 00:08:02.070 Amber Lin: Just feel free to create one. And then I think, as long as it’s in the

43 00:08:02.200 00:08:11.440 Amber Lin: in the Google drive, that not not this drive our like, our ABC drive, I think, as long as it in there. We also have access like that’s fine.

44 00:08:11.440 00:08:13.999 Mustafa Raja: Okay, yeah, that’s pretty much it. For now.

45 00:08:14.510 00:08:15.869 Amber Lin: Okay. Sounds good.

46 00:08:15.870 00:08:19.379 Mustafa Raja: Yeah, I’ll I’ll notify you once it’s done.

47 00:08:19.820 00:08:21.666 Amber Lin: Okay. Awesome.

48 00:08:22.890 00:08:29.059 Amber Lin: I think that’s so. That’s all for you. I think the Mo. The rest we I need to talk to Casey about.

49 00:08:29.060 00:08:29.495 Mustafa Raja: Yeah.

50 00:08:29.930 00:08:31.116 Amber Lin: Processing, time.

51 00:08:31.710 00:08:38.760 Mustafa Raja: Yeah, Casey, actually, case, Casey is actually investigating something.

52 00:08:38.890 00:08:42.080 Mustafa Raja: And he wanted us both on testing.

53 00:08:42.299 00:08:44.669 Amber Lin: Oh, okay, yes, please. Okay.

54 00:08:45.403 00:08:49.219 Amber Lin: So, Casey, how was the how was the time?

55 00:08:49.429 00:08:52.569 Amber Lin: The processing time? What? What was happening there?

56 00:08:53.903 00:08:57.620 Casie Aviles: Yeah. The the Csrs were reporting earlier that

57 00:08:57.850 00:09:02.219 Casie Aviles: it’s down like Andy’s down. And it was starting to get really bad, like.

58 00:09:03.611 00:09:13.159 Casie Aviles: I yeah, with each message they send. It’s just gonna go on forever. And it’s gonna show up as not responding. So I I deactivated Andy for now.

59 00:09:13.840 00:09:14.700 Casie Aviles: and then.

60 00:09:15.270 00:09:27.449 Casie Aviles: Yeah, I I implemented this rug solution like just a quick version. So I wanted to see if if if we want to test that right now and.

61 00:09:27.450 00:09:28.500 Amber Lin: Okay, let’s do that.

62 00:09:29.170 00:09:34.739 Casie Aviles: Yeah, yeah, preferably from your environment, because mine might be

63 00:09:37.032 00:09:40.760 Casie Aviles: so like, it’s fresh, you know. Not from my, okay.

64 00:09:40.760 00:09:41.959 Amber Lin: Is it this one.

65 00:09:42.240 00:09:44.570 Casie Aviles: Yeah, I think that’s right. Now.

66 00:09:46.090 00:09:46.670 Casie Aviles: Okay.

67 00:09:46.670 00:09:52.420 Casie Aviles: I think it might be better. But I I just want your I I also want you to test like.

68 00:09:52.420 00:09:57.590 Amber Lin: Okay, so this is just for the central dock of the Zip codes are correct. Right?

69 00:09:58.134 00:10:08.569 Amber Lin: Let me grab. I also cannot recall anything on the top of my head. I’m gonna go re, go find a question here.

70 00:10:08.960 00:10:10.110 Casie Aviles: Yes. Okay.

71 00:10:28.110 00:10:31.239 Amber Lin: Hey! Wow! Why is it so fast?

72 00:10:32.170 00:10:35.860 Casie Aviles: The only problem right now is this link? Yeah, this link is wrong.

73 00:10:37.220 00:10:38.590 Amber Lin: Hmm.

74 00:10:38.970 00:10:40.490 Casie Aviles: I see.

75 00:10:43.860 00:10:46.620 Amber Lin: Let me see under Qc.

76 00:10:47.230 00:10:48.300 Amber Lin: Alright, but.

77 00:10:48.750 00:10:50.480 Casie Aviles: And let’s try another question.

78 00:10:50.670 00:11:05.990 Amber Lin: Qc. Visit. Let me see what’s under there, because there’s nothing under here. That’s why. Okay, same day, scheduling request. Let me ask that it’s so fast, though it’s so cool. It’s just

79 00:11:17.450 00:11:20.799 Amber Lin: that is the wrong link.

80 00:11:21.490 00:11:23.730 Casie Aviles: Yeah, it is the wrong one. It keeps sending that.

81 00:11:25.536 00:11:30.229 Amber Lin: I guess we should just have specifications around links.

82 00:11:30.810 00:11:31.700 Mustafa Raja: Yeah.

83 00:11:34.650 00:11:36.470 Casie Aviles: Like as long as we.

84 00:11:36.770 00:11:46.550 Amber Lin: Maybe we should specify only output links if it if it’s like in the section.

85 00:11:46.730 00:11:48.759 Amber Lin: because there’s a link here.

86 00:11:50.400 00:11:51.440 Casie Aviles: Yeah, okay.

87 00:11:51.440 00:11:53.020 Amber Lin: Gonna copy the link

88 00:12:15.933 00:12:16.680 Amber Lin: still, that.

89 00:12:16.680 00:12:18.020 Casie Aviles: It’s all putting the same one.

90 00:12:18.350 00:12:20.040 Amber Lin: Yeah, only.

91 00:12:20.900 00:12:22.470 Amber Lin: And links.

92 00:12:27.810 00:12:32.580 Casie Aviles: It’s probably using the memory. It’s the memory that it has so.

93 00:12:33.205 00:12:35.080 Amber Lin: That makes sense.

94 00:12:39.140 00:12:41.380 Amber Lin: And now it doesn’t have any lakes.

95 00:12:44.130 00:12:44.770 Casie Aviles: Okay.

96 00:12:48.700 00:12:51.779 Amber Lin: I mean the let me try a different question.

97 00:12:55.360 00:13:01.530 Amber Lin: What about what do we do with it now?

98 00:13:20.530 00:13:22.810 Amber Lin: I don’t know if that’s correct.

99 00:13:25.364 00:13:31.009 Mustafa Raja: Casey, is this drag from the what’s it? Called the duplicate document?

100 00:13:31.740 00:13:34.319 Casie Aviles: No, I did like a new

101 00:13:35.241 00:13:38.849 Casie Aviles: process. Yeah. Oh, it’s not calling the tool. Okay.

102 00:13:41.020 00:13:43.460 Casie Aviles: I have to make sure that it calls the tool. So.

103 00:13:45.200 00:13:48.670 Casie Aviles: Okay, I’ll I’ll note this. Problems gone.

104 00:13:49.380 00:13:50.100 Amber Lin: Okay.

105 00:13:51.570 00:13:52.880 Casie Aviles: Yeah. I’ll spend some more time.

106 00:13:52.880 00:13:57.209 Amber Lin: If you need, I can go test with the trainers as well.

107 00:13:58.800 00:14:00.570 Amber Lin: Account.

108 00:14:02.460 00:14:06.130 Amber Lin: No, that’s not what we need. Customer portal.

109 00:14:13.580 00:14:15.510 Casie Aviles: No, it didn’t include the link.

110 00:14:16.710 00:14:21.149 Amber Lin: Yeah, I think Links is in is an issue.

111 00:14:21.270 00:14:27.500 Amber Lin: I guess we could. It’s do you think it’s more of a prompting thing of like if

112 00:14:27.700 00:14:31.500 Amber Lin: there was a URL spelled out

113 00:14:31.600 00:14:35.240 Amber Lin: in this section. Include the URL. If not, don’t.

114 00:14:35.760 00:14:40.590 Casie Aviles: Yeah, I did. I did this prompt already, but it keeps getting confused. So.

115 00:14:40.590 00:14:41.130 Amber Lin: II.

116 00:14:41.130 00:14:48.250 Casie Aviles: I’ll have to. I’ll probably have to redo something here or find out if it’s not just the prompt that’s making this

117 00:14:48.780 00:14:50.859 Casie Aviles: result and that.

118 00:14:52.680 00:14:59.149 Mustafa Raja: Can we see if it’s if it’s doing the templates, or or or that needs to be configured too.

119 00:15:01.360 00:15:09.259 Amber Lin: like I, I specified Portal Link, and then it gave me the 2 correct links. So that’s working relation template

120 00:15:11.300 00:15:26.109 Amber Lin: like, if we want we can. I can make. We can make another spreadsheet like that works, too. The template works like we can make another spreadsheet with all the different links, and then they will just type in the link, and then Andy will return the URL

121 00:15:32.930 00:15:38.100 Amber Lin: Investor inspectors sheet link.

122 00:15:45.590 00:15:47.890 Amber Lin: Yeah, because we don’t have have.

123 00:15:48.200 00:15:54.980 Amber Lin: I see that’s the wrong one. Let me include somewhere, inspector.

124 00:16:01.845 00:16:04.369 Amber Lin: You know what? I’ll put it up here.

125 00:16:45.525 00:16:50.080 Amber Lin: I don’t know where the skills and zips are whatever. Let me try again.

126 00:16:51.716 00:16:53.970 Amber Lin: Inspector, she.

127 00:16:55.050 00:16:59.260 Casie Aviles: Oh, it’s not gonna oh, I’m sorry it’s not gonna get updated because it’s not real time.

128 00:16:59.820 00:17:03.450 Amber Lin: Oh, no! But oh, I see, I see!

129 00:17:04.180 00:17:05.950 Casie Aviles: Yeah, yeah, yeah, it’s not real time.

130 00:17:06.329 00:17:09.039 Casie Aviles: I had to do like processing for this.

131 00:17:09.339 00:17:10.339 Amber Lin: Oh!

132 00:17:10.339 00:17:17.649 Casie Aviles: The only benefit of our previous approach was, I guess it was real time. But but because we’re getting the the entire thing.

133 00:17:19.230 00:17:26.180 Amber Lin: I see. I don’t think we’ll be able to do that in the future, because we’re gonna get more and more things in this document.

134 00:17:27.430 00:17:28.210 Casie Aviles: I see.

135 00:17:35.205 00:17:38.530 Amber Lin: Let me see what else we can do.

136 00:17:39.707 00:17:43.889 Amber Lin: How do you schedule an estimate.

137 00:18:10.140 00:18:11.200 Casie Aviles: It’s not the same one.

138 00:18:13.120 00:18:15.840 Amber Lin: Not as detailed, I would say.

139 00:18:16.910 00:18:17.430 Amber Lin: Alright.

140 00:18:17.430 00:18:17.980 Casie Aviles: Okay.

141 00:18:19.550 00:18:20.419 Amber Lin: I think it.

142 00:18:20.770 00:18:23.480 Amber Lin: It kind of inferred.

143 00:18:23.740 00:18:32.600 Amber Lin: A lot of things like this is like generally how people, how people would do

144 00:18:33.296 00:18:41.509 Amber Lin: scheduling. I don’t think it. It has, like the I see, specific things.

145 00:18:42.010 00:18:48.750 Casie Aviles: Yeah, right now, it’s not calling the tool I mean for for so I’ll have to make sure

146 00:18:48.750 00:18:50.220 Casie Aviles: uses it constantly.

147 00:18:50.540 00:18:55.500 Amber Lin: I see. Yeah, it kind of just answers something.

148 00:18:55.500 00:18:56.319 Casie Aviles: Yeah, yeah.

149 00:18:56.980 00:18:57.520 Amber Lin: Yeah.

150 00:18:58.690 00:18:59.380 Casie Aviles: Okay.

151 00:18:59.820 00:19:00.180 Amber Lin: Okay.

152 00:19:00.180 00:19:00.740 Casie Aviles: Nice.

153 00:19:01.150 00:19:02.900 Amber Lin: Yeah, let me know.

154 00:19:03.330 00:19:05.620 Amber Lin: What else do you want to test.

155 00:19:08.840 00:19:14.790 Casie Aviles: I think that that’s all, for now I did test like if we treat certain animals.

156 00:19:15.770 00:19:19.290 Casie Aviles: Some of those were right, but some of those were also heavily inferred.

157 00:19:20.380 00:19:22.650 Amber Lin: Yeah, I I do think so.

158 00:19:24.026 00:19:26.000 Amber Lin: What happened?

159 00:19:42.320 00:19:44.310 Amber Lin: Yeah, they’re very.

160 00:19:44.640 00:19:49.190 Amber Lin: I think they’re very general.

161 00:19:49.750 00:19:50.320 Amber Lin: So.

162 00:19:50.320 00:19:50.650 Casie Aviles: Okay.

163 00:19:50.650 00:19:54.800 Amber Lin: Check green protocol.

164 00:19:58.060 00:20:04.180 Amber Lin: Yeah, it doesn’t give the details as needed.

165 00:20:06.220 00:20:13.620 Amber Lin: I guess maybe I’d rather it just when we do rag. Just give the chunk like.

166 00:20:13.720 00:20:18.469 Amber Lin: I rather don’t polish it that much, and just give a chunk

167 00:20:18.630 00:20:27.790 Amber Lin: rather than it inferring so much because a lot of these are very specific things, and if we get it wrong during brag it will. It will cause problems.

168 00:20:31.020 00:20:37.830 Casie Aviles: Okay, yeah. So right now, I need to figure out like, how to make sure it always calls the tool for rug.

169 00:20:38.230 00:20:38.780 Amber Lin: Hmm.

170 00:20:39.350 00:20:42.279 Casie Aviles: Okay, I’ll just yeah. I’ll work on this right now.

171 00:20:45.610 00:20:47.239 Amber Lin: Okay, sounds good.

172 00:20:47.440 00:20:53.799 Amber Lin: So urgent. I’m gonna say, put it there.

173 00:20:54.260 00:20:56.110 Amber Lin: Okay, make that issue.

174 00:20:56.860 00:21:06.390 Amber Lin: I think that prompting routing.

175 00:21:07.530 00:21:08.420 Amber Lin: Okay?

176 00:21:10.150 00:21:17.450 Amber Lin: Sounds good, do we? Still, I think this is let’s say this is a duplicate think.

177 00:21:18.570 00:21:19.600 Amber Lin: Oh.

178 00:21:23.040 00:21:26.720 Amber Lin: oh, never mind, I’ll just change this.

179 00:21:34.320 00:21:40.559 Casie Aviles: I think also, Mustafa, I I’d like to ask if you can review like the workflow. Maybe I’m missing something here, but.

180 00:21:40.920 00:21:41.940 Casie Aviles: like with how I set up.

181 00:21:41.940 00:21:43.930 Mustafa Raja: Yeah. The rank.

182 00:21:44.360 00:21:47.359 Casie Aviles: Yes, yes, it’s the live workflow.

183 00:21:47.530 00:21:53.640 Mustafa Raja: Yeah, okay, and also do we want to make it some somewhat real time?

184 00:21:55.050 00:22:01.080 Casie Aviles: I think I mean, we’re we’re just testing it for now. But yeah, yeah.

185 00:22:01.720 00:22:04.230 Mustafa Raja: Yeah, we can any anyways.

186 00:22:04.230 00:22:07.910 Casie Aviles: Yes, I was thinking maybe we could do, scheduled or.

187 00:22:07.910 00:22:08.250 Mustafa Raja: Yeah.

188 00:22:08.250 00:22:09.680 Casie Aviles: I don’t know. But yeah.

189 00:22:09.680 00:22:13.608 Mustafa Raja: Yeah, what we can do is we can listen to the changes in Central Doc. And

190 00:22:14.650 00:22:16.750 Mustafa Raja: yeah, if it’s changed, then.

191 00:22:17.270 00:22:30.890 Amber Lin: Yeah, I think that will be great, because a lot of a lot of times during my working sessions, I update it. And I and I I need to check what like, what works and what doesn’t. So if it if it’s real time, it will be awesome.

192 00:22:30.890 00:22:38.330 Mustafa Raja: So so let’s just let’s just see how we we can 1st improve the rag.

193 00:22:39.153 00:22:41.419 Mustafa Raja: And then we’ll do make it real time.

194 00:22:41.860 00:22:43.350 Amber Lin: Okay. Okay. Awesome.

195 00:22:44.010 00:22:46.170 Amber Lin: Bart.

196 00:22:46.590 00:22:52.130 Amber Lin: yeah. Well, the spreadsheet stuff. We’ll we’ll do it next week. Let’s just figure this out for now.

197 00:22:53.020 00:22:53.889 Casie Aviles: Yes. Okay.

198 00:22:53.890 00:22:54.540 Amber Lin: Okay.

199 00:22:54.870 00:22:55.940 Casie Aviles: Thank you.

200 00:22:56.320 00:22:56.990 Mustafa Raja: Thank you.

201 00:22:57.290 00:22:58.000 Casie Aviles: Guys.

202 00:22:58.000 00:22:59.230 Amber Lin: Yeah, bye.