Meeting Title: ABC Standup Date: 2025-08-01 Meeting participants: Vashdev Heerani, Casie Aviles, Mustafa Raja, Annie Yu, Amber Lin, Awaish Kumar
WEBVTT
1 00:01:38.320 ⇒ 00:01:43.150 Amber Lin: Hello, okay.
2 00:01:45.170 ⇒ 00:01:57.512 Amber Lin: Oh, you see, actually, let’s do the data platform. I’ll probably start splitting these 2 standups.
3 00:01:59.620 ⇒ 00:02:03.070 Amber Lin: let me find data platform stuff.
4 00:02:03.640 ⇒ 00:02:05.550 Amber Lin: So then we can talk about it.
5 00:02:12.163 ⇒ 00:02:15.029 Amber Lin: That’s that’s Okay.
6 00:02:22.920 ⇒ 00:02:24.010 Amber Lin: all right.
7 00:02:24.480 ⇒ 00:02:30.249 Amber Lin: Vastrov, I know we’re just gonna review these 2 Prs right has has he looked at them yet?
8 00:02:34.930 ⇒ 00:02:38.459 Vashdev Heerani: Nope, Nope, I I did not get any update from Mahesh.
9 00:02:39.525 ⇒ 00:02:40.080 Amber Lin: Okay,
10 00:02:45.250 ⇒ 00:02:46.510 Amber Lin: all right.
11 00:02:50.770 ⇒ 00:02:54.050 Amber Lin: let me ping him so
12 00:02:54.600 ⇒ 00:03:04.080 Amber Lin: so that Annie can get actually, look at the tickets. So let me go find data platform.
13 00:03:05.550 ⇒ 00:03:06.480 Amber Lin: Oh.
14 00:03:16.420 ⇒ 00:03:18.109 Amber Lin: oh, that’s me.
15 00:03:32.770 ⇒ 00:03:33.760 Amber Lin: Okay.
16 00:03:37.250 ⇒ 00:03:41.000 Amber Lin: Annie, do you also need help from a wish on this one.
17 00:03:42.170 ⇒ 00:03:46.389 Annie Yu: Yeah, we still haven’t figure out what’s the issue.
18 00:03:46.960 ⇒ 00:03:48.190 Amber Lin: Oh, okay.
19 00:03:48.190 ⇒ 00:03:57.410 Annie Yu: I will. And I think one question, though I don’t think Awaii has real data.
20 00:03:58.070 ⇒ 00:04:01.369 Annie Yu: So it’s it’s hard to debug sometimes.
21 00:04:01.370 ⇒ 00:04:03.279 Amber Lin: Oh, I see
22 00:04:08.160 ⇒ 00:04:12.419 Annie Yu: And I think it makes sense for engineers to have real data right?
23 00:04:12.700 ⇒ 00:04:13.340 Amber Lin: Yeah.
24 00:04:13.990 ⇒ 00:04:14.450 Awaish Kumar: Hello!
25 00:04:14.450 ⇒ 00:04:21.963 Amber Lin: Okay, let me. Hi, I wish these 3 I just I reviewed.
26 00:04:23.810 ⇒ 00:04:24.890 Amber Lin: Oh, yay.
27 00:04:25.130 ⇒ 00:04:32.300 Awaish Kumar: Yeah. And I just need like I have commented, what step can look, take a look.
28 00:04:34.820 ⇒ 00:04:36.290 Amber Lin: Huh? Sorry.
29 00:04:36.830 ⇒ 00:04:40.449 Awaish Kumar: Kuwait can take a look. I have just commented on that.
30 00:04:40.760 ⇒ 00:04:43.690 Amber Lin: Oh, okay, okay. So.
31 00:04:44.450 ⇒ 00:04:47.169 Amber Lin: And Annie needs help on the.
32 00:04:47.170 ⇒ 00:04:52.789 Awaish Kumar: I this one I couldn’t like give more time on this one. It’s more like.
33 00:04:52.790 ⇒ 00:04:53.910 Amber Lin: I can see.
34 00:04:54.776 ⇒ 00:05:02.505 Awaish Kumar: It’s yeah, like I can do it on my side. And then
35 00:05:03.200 ⇒ 00:05:06.689 Awaish Kumar: let let any know like, if it’s working.
36 00:05:08.075 ⇒ 00:05:08.600 Amber Lin: Okay.
37 00:05:09.560 ⇒ 00:05:11.070 Awaish Kumar: You can maybe assign it to me.
38 00:05:11.470 ⇒ 00:05:15.370 Amber Lin: Okay, sounds good.
39 00:05:15.660 ⇒ 00:05:18.359 Amber Lin: And anyhow, is this.
40 00:05:20.250 ⇒ 00:05:23.559 Annie Yu: Oh, I did not get to start this. I had some other request.
41 00:05:23.927 ⇒ 00:05:28.332 Amber Lin: Yeah, I got you. I I know all the requests you have.
42 00:05:28.700 ⇒ 00:05:31.949 Awaish Kumar: Yeah, this is made a blocker, so you can like
43 00:05:32.660 ⇒ 00:05:35.370 Awaish Kumar: on the connections. You can look at it if you have time.
44 00:05:36.130 ⇒ 00:05:36.800 Amber Lin: Yeah.
45 00:05:37.995 ⇒ 00:05:45.150 Amber Lin: Da da da dbt project, I know we had credential issues.
46 00:05:45.900 ⇒ 00:05:49.090 Amber Lin: Oh, great. So wait. Sorry! That’s not.
47 00:05:49.690 ⇒ 00:05:53.779 Amber Lin: Is this Tasha? Is this, in still in progress.
48 00:06:01.230 ⇒ 00:06:02.130 Awaish Kumar: Hi, Steve!
49 00:06:07.650 ⇒ 00:06:11.440 Amber Lin: Paul Vashlav, you’re on mute.
50 00:06:14.580 ⇒ 00:06:16.329 Vashdev Heerani: Hello. Sorry. Sorry.
51 00:06:20.003 ⇒ 00:06:22.649 Amber Lin: Is this still? Is this one still in progress?
52 00:06:26.620 ⇒ 00:06:35.030 Vashdev Heerani: No, not in I. I did not see that that in this project is in progress.
53 00:06:38.320 ⇒ 00:06:40.560 Amber Lin: Wait. So what does that mean?
54 00:06:40.670 ⇒ 00:06:43.659 Amber Lin: Should I put it into do, or is it blocked.
55 00:06:43.981 ⇒ 00:06:46.230 Vashdev Heerani: To do. Put this in to do.
56 00:06:46.450 ⇒ 00:06:49.470 Amber Lin: Oh, okay. When do you plan to do this by.
57 00:06:53.560 ⇒ 00:06:58.729 Vashdev Heerani: So let me review this first, st and then I will let you know.
58 00:07:01.283 ⇒ 00:07:04.390 Amber Lin: A wish. What’s your input on that.
59 00:07:04.390 ⇒ 00:07:06.610 Awaish Kumar: That is just a bit like.
60 00:07:07.330 ⇒ 00:07:10.810 Awaish Kumar: for so far we don’t have any
61 00:07:13.710 ⇒ 00:07:22.689 Awaish Kumar: specific modeling requirements. It’s just creating a template project. And yeah, it’s just like maybe 1 h, 1 h. Work.
62 00:07:23.160 ⇒ 00:07:26.880 Amber Lin: I see. Why don’t we have estimates?
63 00:07:33.240 ⇒ 00:07:34.930 Amber Lin: is this?
64 00:07:37.180 ⇒ 00:07:38.060 Amber Lin: Nope?
65 00:07:39.030 ⇒ 00:07:40.170 Amber Lin: Sorry.
66 00:07:40.530 ⇒ 00:07:41.920 Amber Lin: Just one. Sec.
67 00:07:42.510 ⇒ 00:07:45.339 Amber Lin: Enable estimates.
68 00:07:47.070 ⇒ 00:07:50.690 Amber Lin: Okay, back to app.
69 00:07:50.920 ⇒ 00:07:55.780 Amber Lin: So that’s 1 point.
70 00:07:57.770 ⇒ 00:07:58.940 Amber Lin: Okay?
71 00:07:59.970 ⇒ 00:08:06.520 Amber Lin: And alright, I think that’s it. I’m I’m creating the.
72 00:08:07.410 ⇒ 00:08:09.170 Amber Lin: I’ve got the requirements.
73 00:08:10.894 ⇒ 00:08:15.640 Amber Lin: And then I will draft
74 00:08:17.250 ⇒ 00:08:22.200 Amber Lin: that when I have time. And then, okay, yeah, I think that’s all for a data platform.
75 00:08:23.255 ⇒ 00:08:31.879 Amber Lin: Oh, Vashtav, I saw your comment on the wait. What is this?
76 00:08:33.650 ⇒ 00:08:36.825 Amber Lin: Okay, Bhutan has appeared.
77 00:08:38.350 ⇒ 00:08:43.400 Amber Lin: I saw Vasher. I saw a comment on the Eden part. Do you mind just sending a message to segment?
78 00:08:44.110 ⇒ 00:08:47.100 Amber Lin: Not to sidetrack, but just if you can. That would be great.
79 00:08:51.540 ⇒ 00:08:52.840 Vashdev Heerani: Sure, sure.
80 00:08:52.840 ⇒ 00:08:58.190 Amber Lin: Yeah, thank you. Okay, I mean, I think you can hop.
81 00:08:58.380 ⇒ 00:09:06.569 Amber Lin: Let me check if there’s something on. ABC, yeah. Annie, feel free to hop. We’re gonna talk about ABC now.
82 00:09:07.000 ⇒ 00:09:09.122 Amber Lin: Not much left.
83 00:09:10.200 ⇒ 00:09:17.110 Amber Lin: and just this one, did you? Were you able to take a look to get started, and see what you need.
84 00:09:18.756 ⇒ 00:09:20.739 Vashdev Heerani: Not yet not yet.
85 00:09:22.400 ⇒ 00:09:25.939 Amber Lin: Oh, wait! What are you? What tasks are you currently doing now?
86 00:09:26.440 ⇒ 00:09:35.498 Vashdev Heerani: So I am. I just finish the segment kind of stuff, and then I’m looking into the event. Count.
87 00:09:36.240 ⇒ 00:09:39.423 Amber Lin: Oh, okay, okay. I see.
88 00:09:40.520 ⇒ 00:09:43.299 Amber Lin: Is there a way that I can see
89 00:09:44.100 ⇒ 00:09:48.019 Amber Lin: all the tasks assigned to one person?
90 00:09:49.810 ⇒ 00:09:53.720 Amber Lin: Okay, new views.
91 00:09:54.830 ⇒ 00:09:57.650 Amber Lin: But very safe.
92 00:09:58.140 ⇒ 00:09:59.050 Amber Lin: Okay?
93 00:10:16.070 ⇒ 00:10:22.930 Amber Lin: oh, my God, right?
94 00:10:23.710 ⇒ 00:10:25.970 Amber Lin: Show none.
95 00:10:28.100 ⇒ 00:10:29.350 Amber Lin: Okay.
96 00:10:30.200 ⇒ 00:10:32.269 Amber Lin: Cancel all of that.
97 00:10:42.690 ⇒ 00:10:44.699 Amber Lin: Okay, it’s mine.
98 00:10:45.060 ⇒ 00:10:52.370 Amber Lin: Oh, my God, Andrews, that’s and that’s Annie’s tickets.
99 00:10:53.040 ⇒ 00:10:58.649 Amber Lin: Oh, gosh! So many arushi’s Oasius tickets!
100 00:10:58.980 ⇒ 00:11:06.330 Amber Lin: Oh, crazy Casey’s device, said Hannah.
101 00:11:07.150 ⇒ 00:11:11.459 Amber Lin: I’m trying to find. Why do we still have James tickets?
102 00:11:13.010 ⇒ 00:11:16.240 Amber Lin: Sorry I shouldn’t be doing this here. I just want to see where
103 00:11:18.660 ⇒ 00:11:22.450 Amber Lin: where vash stuff’s tickets is like.
104 00:11:24.040 ⇒ 00:11:25.760 Amber Lin: Can’t find it.
105 00:11:28.540 ⇒ 00:11:30.020 Amber Lin: Wait! Where is?
106 00:11:31.277 ⇒ 00:11:32.350 Amber Lin: There we go.
107 00:11:37.310 ⇒ 00:11:45.010 Amber Lin: So seems like, you have connect transcription.
108 00:11:50.040 ⇒ 00:11:50.970 Amber Lin: Okay.
109 00:11:52.990 ⇒ 00:11:57.729 Amber Lin: ABC, dashboard, all parts meadow plane.
110 00:11:57.990 ⇒ 00:12:00.750 Amber Lin: Which one are you currently doing right now?
111 00:12:02.670 ⇒ 00:12:05.269 Amber Lin: Have the 2 Eden ones.
112 00:12:06.210 ⇒ 00:12:10.150 Amber Lin: those are not for this week within.
113 00:12:10.870 ⇒ 00:12:15.220 Amber Lin: I’m trying to get a sense of your capacity, and if I can assign more stuff to you.
114 00:12:28.030 ⇒ 00:12:33.640 Vashdev Heerani: So the ticket ticket number. So the ticket number is a Eden, 4, 2, 4.
115 00:12:34.390 ⇒ 00:12:36.039 Amber Lin: 4 to 4.
116 00:12:36.680 ⇒ 00:12:45.590 Amber Lin: Okay? So those are, do you have any idea of 5 5 0 that you’re that you’re doing.
117 00:12:54.060 ⇒ 00:12:57.210 Vashdev Heerani: So for that I.
118 00:12:57.660 ⇒ 00:13:00.110 Amber Lin: You have no clue. Okay.
119 00:13:00.350 ⇒ 00:13:03.049 Vashdev Heerani: I have to sit with the ovation, and then.
120 00:13:03.050 ⇒ 00:13:03.380 Amber Lin: Okay.
121 00:13:03.380 ⇒ 00:13:05.659 Vashdev Heerani: I need, I need more context about this.
122 00:13:06.020 ⇒ 00:13:09.650 Amber Lin: Okay, no worries, knees grooming.
123 00:13:10.990 ⇒ 00:13:11.850 Amber Lin: Okay?
124 00:13:13.258 ⇒ 00:13:17.629 Amber Lin: Alright. Seems like you have capacity.
125 00:13:19.670 ⇒ 00:13:23.140 Amber Lin: Assignee fast. Def. Okay?
126 00:13:23.720 ⇒ 00:13:30.209 Amber Lin: Yeah. I think, based on that. We’ll love you to take a look at the ABC ticket.
127 00:13:30.994 ⇒ 00:13:36.789 Amber Lin: And then if you get time, sync with the wish on 5 5 0.
128 00:13:36.790 ⇒ 00:13:37.500 Vashdev Heerani: Sure.
129 00:13:37.980 ⇒ 00:13:46.449 Amber Lin: Yeah, sounds good. I think that should be all for the data side.
130 00:13:46.940 ⇒ 00:13:48.490 Amber Lin: Yeah, I think.
131 00:13:48.630 ⇒ 00:13:49.620 Amber Lin: Oh.
132 00:13:50.707 ⇒ 00:13:56.809 Amber Lin: yeah, feel free to hop. I know, you guys have a lot of meetings and a lot of stuff to sync on.
133 00:13:59.650 ⇒ 00:14:00.940 Amber Lin: Thank you both.
134 00:14:03.946 ⇒ 00:14:05.340 Amber Lin: Let’s see.
135 00:14:05.480 ⇒ 00:14:06.380 Vashdev Heerani: Thank you.
136 00:14:07.000 ⇒ 00:14:07.760 Amber Lin: Thank you.
137 00:14:09.350 ⇒ 00:14:10.560 Amber Lin: All right.
138 00:14:14.120 ⇒ 00:14:15.520 Amber Lin: let’s see.
139 00:14:16.170 ⇒ 00:14:22.870 Amber Lin: So I think today, you know, we added that one.
140 00:14:25.530 ⇒ 00:14:28.319 Amber Lin: Oh, oh, okay.
141 00:14:28.580 ⇒ 00:14:34.784 Amber Lin: So I know this is, this is good to go right sorry, I think, that we already talked about it today.
142 00:14:35.080 ⇒ 00:14:35.550 Casie Aviles: Yeah.
143 00:14:35.550 ⇒ 00:14:39.470 Amber Lin: I will send this over to them. Sorry this is this was this was me.
144 00:14:40.100 ⇒ 00:14:45.029 Amber Lin: Let me scoot it over to me. I’ll go. I’ll go grab them.
145 00:14:45.590 ⇒ 00:14:46.620 Amber Lin: Okay.
146 00:14:50.520 ⇒ 00:14:52.459 Amber Lin: think this one.
147 00:14:52.820 ⇒ 00:14:56.139 Amber Lin: I want to ask you guys how we should do this. So
148 00:14:57.360 ⇒ 00:15:03.099 Amber Lin: since I’m sharing my screen, I want to show you what the cancellations look like.
149 00:15:07.410 ⇒ 00:15:09.290 Amber Lin: So that would be
150 00:15:09.560 ⇒ 00:15:18.050 Amber Lin: so for cancellations. They they have a flow, and there’s different reasons why people may want to cancel.
151 00:15:18.540 ⇒ 00:15:31.080 Amber Lin: And this is a very important part for ABC, because this saves some revenue. And right now, when we ask Andy, it gives like a very high level
152 00:15:31.180 ⇒ 00:15:59.189 Amber Lin: overview of cancellations. Could we create a specific flow of when someone asks cancellations, then it goes through these steps of step one, do this, and it gives them like probably gives them the actual chunks or scripts for them to follow. Do you think that’s possible? And based on what they say in Step one, we go to whichever section in these.
153 00:15:59.430 ⇒ 00:16:08.380 Amber Lin: and they and they always have like they have those parts.
154 00:16:08.580 ⇒ 00:16:15.709 Mustafa Raja: Yeah, yeah. Yes. So the rack is set up in a way that.
155 00:16:16.626 ⇒ 00:16:30.169 Mustafa Raja: We have 2 things. We have the actual super base table where each section is a row, and drag has access to the Yu Ids of those sections.
156 00:16:30.910 ⇒ 00:16:31.560 Amber Lin: Oomph.
157 00:16:32.120 ⇒ 00:16:49.989 Mustafa Raja: So maybe if if we are talking about the cancellation flow or anything like that we should direct or we should update the system prompt of Andy to use the uuid and fetch
158 00:16:50.370 ⇒ 00:16:55.100 Mustafa Raja: the row in super base table for the section.
159 00:16:55.360 ⇒ 00:16:58.959 Mustafa Raja: So it exactly knows what we are talking about.
160 00:16:59.490 ⇒ 00:17:06.219 Amber Lin: Oh, if we specify the row, what if we update the rag? And then the row number becomes different.
161 00:17:07.271 ⇒ 00:17:16.409 Mustafa Raja: So when we update the rag, the super base table also gets updated, and then the rag gets updated.
162 00:17:20.040 ⇒ 00:17:28.329 Mustafa Raja: So so actually, what happens is, first, st we populate the super base table and based on the table. Our rag is generated.
163 00:17:31.760 ⇒ 00:17:32.400 Mustafa Raja: Yeah.
164 00:17:32.770 ⇒ 00:17:39.520 Mustafa Raja: So it’s, it’s essentially essentially what it is. Whatever is in the table is going to be in the rag.
165 00:17:43.300 ⇒ 00:17:51.200 Mustafa Raja: This could be one thing, and the other thing is, is very similar to what we did for templates.
166 00:17:53.800 ⇒ 00:17:56.709 Mustafa Raja: We can put this part in a spreadsheet.
167 00:17:57.480 ⇒ 00:17:59.129 Amber Lin: Well, we could do that.
168 00:17:59.481 ⇒ 00:18:01.240 Mustafa Raja: And have it. Fetch it.
169 00:18:01.770 ⇒ 00:18:04.210 Amber Lin: Yeah, cause I was because
170 00:18:04.330 ⇒ 00:18:17.010 Amber Lin: right now, whenever I say cancellation based on moving, because I know Andy doesn’t want to send a whole chunk of text so summarizes everything in in one very little section, whereas, like
171 00:18:19.480 ⇒ 00:18:20.080 Amber Lin: especially.
172 00:18:20.080 ⇒ 00:18:21.339 Casie Aviles: It has to be accepted.
173 00:18:22.090 ⇒ 00:18:39.037 Amber Lin: Yeah, cause we want to give them the scripts, because a lot of times they, the Css don’t don’t know what to do, and they just let the customers cancel. And you’ve had prepared, like all these scripts, to say of, oh, this is what you can say for warranty like this is what’s gonna happen.
174 00:18:40.740 ⇒ 00:18:48.070 Amber Lin: like. Maybe maybe it is some, some more like a template that it will just return what they need.
175 00:18:48.070 ⇒ 00:18:55.389 Mustafa Raja: Yeah, yeah, I feel the spreadsheet is pretty solid because we are. We have already tested it with templates.
176 00:18:55.390 ⇒ 00:18:59.040 Amber Lin: Okay, yeah, we can do that.
177 00:18:59.520 ⇒ 00:19:03.670 Amber Lin: So maybe we can. Just sorry.
178 00:19:06.640 ⇒ 00:19:08.419 Mustafa Raja: What do you? What do you feel like, Casey?
179 00:19:09.790 ⇒ 00:19:15.019 Casie Aviles: I mean, I I think we can add another template. But I’m just thinking like
180 00:19:17.022 ⇒ 00:19:20.910 Casie Aviles: it, what about like? For when we have other
181 00:19:21.960 ⇒ 00:19:24.480 Casie Aviles: documents, right? Look like I’m just.
182 00:19:24.480 ⇒ 00:19:25.650 Mustafa Raja: As it updates.
183 00:19:25.650 ⇒ 00:19:30.550 Casie Aviles: I’m just cautious that the agent might have so many tools already. I don’t know. Maybe.
184 00:19:31.660 ⇒ 00:19:35.359 Casie Aviles: Yeah, because we’ve connect. We’ve created multiple tools already
185 00:19:35.590 ⇒ 00:19:38.360 Casie Aviles: for Andy. I’m not sure if that will affect.
186 00:19:38.360 ⇒ 00:19:39.460 Amber Lin: I’m sweetie.
187 00:19:40.650 ⇒ 00:19:45.679 Mustafa Raja: That’s true, that’s true. And what do you feel about fetching it from super base.
188 00:19:47.436 ⇒ 00:19:51.580 Casie Aviles: I think we can do that.
189 00:19:52.050 ⇒ 00:19:55.689 Mustafa Raja: It’s actually, very similar to, yeah, yeah.
190 00:19:55.690 ⇒ 00:19:59.669 Amber Lin: What if we ask it to just not
191 00:19:59.800 ⇒ 00:20:08.289 Amber Lin: do a summary, but just give it an instruction when it comes to cancellations, return the exact text, in super base.
192 00:20:08.290 ⇒ 00:20:14.039 Mustafa Raja: Yeah, maybe we should try that first.st Maybe we should. What’s it called
193 00:20:14.290 ⇒ 00:20:22.139 Mustafa Raja: system prompt. We should update the system prompt. First, st see if we can get the exact thing back.
194 00:20:22.510 ⇒ 00:20:25.290 Mustafa Raja: if not, then we should move, move to the tool.
195 00:20:25.290 ⇒ 00:20:33.190 Amber Lin: Okay, and if not, we can probably squish it in to the templates sheet. I don’t know.
196 00:20:33.190 ⇒ 00:20:33.900 Mustafa Raja: Yeah, maybe that.
197 00:20:33.900 ⇒ 00:20:34.650 Amber Lin: Got it? Yeah.
198 00:20:34.650 ⇒ 00:20:44.729 Mustafa Raja: Maybe maybe we should do it with another another sheet, because template sheet it’s already so much text in there, and we can always put
199 00:20:45.322 ⇒ 00:20:49.839 Mustafa Raja: a limited amount of text in a context. So you need to be very for that.
200 00:20:49.840 ⇒ 00:20:59.260 Amber Lin: Yeah, I think the super base is best because I don’t see a. It’s gonna be a duplicate, because it’s also a table with all the exact text which
201 00:21:00.830 ⇒ 00:21:02.750 Amber Lin: for so we’ll test that.
202 00:21:02.750 ⇒ 00:21:10.060 Mustafa Raja: Yeah, the super base one actually depends on whether it’s going to put the right uuid or not. I mean the agent.
203 00:21:10.550 ⇒ 00:21:20.880 Mustafa Raja: Call the table with the right uuid or not. So yeah, we’ll have to test the spreadsheet. We’ve already worked worked with it. So
204 00:21:22.470 ⇒ 00:21:26.049 Mustafa Raja: you know, with some more confidence in that.
205 00:21:27.750 ⇒ 00:21:33.219 Casie Aviles: Yeah. And I guess the another concern that I have with, you know, with
206 00:21:34.397 ⇒ 00:21:42.390 Casie Aviles: separating contents, taking contents from the central dock and putting it somewhere else is, you know it, that it defeats the purpose of.
207 00:21:42.390 ⇒ 00:21:43.200 Amber Lin: Yeah.
208 00:21:43.200 ⇒ 00:21:44.970 Casie Aviles: The central dock, you know, yeah, yeah.
209 00:21:45.840 ⇒ 00:21:54.910 Mustafa Raja: Yeah, yeah, we we would have to change every time in 2 places. Central Doc. And the other thing.
210 00:21:55.530 ⇒ 00:21:57.060 Amber Lin: I see. Okay.
211 00:21:57.060 ⇒ 00:22:00.190 Mustafa Raja: So yeah, it’s it’s super base, or the
212 00:22:00.735 ⇒ 00:22:05.089 Mustafa Raja: system prompt thing. If they work, then that’s the best case.
213 00:22:05.090 ⇒ 00:22:09.360 Amber Lin: Okay, sounds good. Who should I assign this one to.
214 00:22:10.940 ⇒ 00:22:11.800 Mustafa Raja: Anyone.
215 00:22:11.800 ⇒ 00:22:13.290 Casie Aviles: Yeah, I don’t mind taking this.
216 00:22:13.290 ⇒ 00:22:13.970 Mustafa Raja: Yeah, yeah.
217 00:22:14.280 ⇒ 00:22:14.730 Amber Lin: Okay.
218 00:22:14.730 ⇒ 00:22:17.060 Casie Aviles: For next. This is for next cycle, right.
219 00:22:17.897 ⇒ 00:22:22.160 Amber Lin: We still have a week left in this cycle. You don’t.
220 00:22:22.160 ⇒ 00:22:22.970 Casie Aviles: I don’t do it. Okay.
221 00:22:23.040 ⇒ 00:22:29.159 Amber Lin: But if you want to check it and maybe next Monday we can do that one.
222 00:22:29.420 ⇒ 00:22:39.989 Amber Lin: We’ll see like, if it’s a quick, prompting thing. Maybe you can try today. And then if it’s if it fails and we can adjust and do that next week.
223 00:22:40.930 ⇒ 00:22:42.130 Casie Aviles: Okay. Sure. Sure.
224 00:22:42.640 ⇒ 00:22:55.630 Amber Lin: Yeah, all right, for the feedback sheet does it automatically. Route now, or is this still manual.
225 00:22:56.060 ⇒ 00:23:01.420 Casie Aviles: Oh, I’m I’m testing this right now. I’ve already. Yeah. But there’s still some.
226 00:23:01.420 ⇒ 00:23:01.980 Amber Lin: Okay.
227 00:23:02.220 ⇒ 00:23:03.060 Casie Aviles: Stuff to
228 00:23:03.630 ⇒ 00:23:04.140 Amber Lin: All right.
229 00:23:04.140 ⇒ 00:23:05.510 Casie Aviles: To fix. But yeah.
230 00:23:05.960 ⇒ 00:23:08.549 Amber Lin: Yeah, sounds good. I think that’s all.
231 00:23:09.050 ⇒ 00:23:12.899 Amber Lin: I’m doing. This. One. Clients don’t need to do this.
232 00:23:13.190 ⇒ 00:23:22.860 Amber Lin: Actually, this is not our task. So it’s 1 point cancel it 3 times.
233 00:23:23.180 ⇒ 00:23:27.740 Amber Lin: Great Andy should
234 00:23:35.910 ⇒ 00:23:37.520 Amber Lin: return.
235 00:23:37.520 ⇒ 00:23:46.320 Mustafa Raja: Oh, It’s Friday, I believe. The slack!
236 00:23:46.520 ⇒ 00:23:50.060 Mustafa Raja: Some of these would would have been sent to you is if.
237 00:23:50.060 ⇒ 00:23:50.410 Amber Lin: Oh!
238 00:23:50.410 ⇒ 00:23:52.119 Mustafa Raja: Were they on time now.
239 00:23:52.730 ⇒ 00:23:54.509 Amber Lin: Oh, yes, they did. Thank you.
240 00:23:54.510 ⇒ 00:23:55.150 Mustafa Raja: Okay. Okay.
241 00:23:55.490 ⇒ 00:23:56.290 Amber Lin: Yeah.
242 00:23:56.290 ⇒ 00:24:04.030 Amber Lin: Also, Miguel was asking. I forgot. I forgot to get back to him. He asked.
243 00:24:04.250 ⇒ 00:24:09.949 Amber Lin: Yeah, I totally forgot. He asked about ticket grooming automation.
244 00:24:10.270 ⇒ 00:24:11.100 Mustafa Raja: Yeah.
245 00:24:11.300 ⇒ 00:24:16.160 Amber Lin: And then I know that there was oh, I had a request on.
246 00:24:16.800 ⇒ 00:24:20.170 Amber Lin: Is it tickets that this zoom agent produces?
247 00:24:21.268 ⇒ 00:24:23.819 Amber Lin: I guess, for example.
248 00:24:25.300 ⇒ 00:24:30.709 Mustafa Raja: Oh, yeah, the request I saw. So it’s a it’s certain format that you need. Right?
249 00:24:31.080 ⇒ 00:24:33.350 Amber Lin: Yeah, cause right now, I can’t.
250 00:24:33.660 ⇒ 00:24:35.940 Mustafa Raja: It’s in the. It’s in the what’s it called.
251 00:24:36.880 ⇒ 00:24:37.830 Amber Lin: Yeah.
252 00:24:37.830 ⇒ 00:24:38.710 Mustafa Raja: Backlog.
253 00:24:39.050 ⇒ 00:24:44.019 Mustafa Raja: Yeah, let’s go through. It actually brought down yesterday. I fixed it.
254 00:24:44.020 ⇒ 00:24:44.920 Amber Lin: Oh, yeah.
255 00:24:44.920 ⇒ 00:24:46.020 Mustafa Raja: We updated.
256 00:24:47.640 ⇒ 00:24:53.049 Amber Lin: I see. Yeah, I’ve been. I tried yesterday. This didn’t work when I was.
257 00:24:53.050 ⇒ 00:24:53.800 Mustafa Raja: Yeah. Why not?
258 00:24:53.800 ⇒ 00:24:55.499 Amber Lin: Trying to show someone.
259 00:24:55.500 ⇒ 00:24:56.219 Mustafa Raja: Oh no!
260 00:24:56.580 ⇒ 00:24:59.800 Amber Lin: You I was like, oh, never mind, work.
261 00:25:00.350 ⇒ 00:25:12.747 Mustafa Raja: So what happened was the we updated anything, had a new release. And so we updated it. And in that release they, for some security purposes, added
262 00:25:13.710 ⇒ 00:25:16.480 Mustafa Raja: prefixes to the responses.
263 00:25:16.920 ⇒ 00:25:17.800 Amber Lin: I see!
264 00:25:17.800 ⇒ 00:25:20.440 Mustafa Raja: And that messed up everything. Because
265 00:25:21.160 ⇒ 00:25:25.039 Mustafa Raja: and these are very specific. Json.
266 00:25:25.400 ⇒ 00:25:34.229 Amber Lin: I see. Okay, so I’m I’ll copy this one over. I think we have a AI and Pm. Channel. Yes, we do.
267 00:25:37.100 ⇒ 00:25:43.250 Amber Lin: This one, and then
268 00:25:47.625 ⇒ 00:25:57.999 Amber Lin: tickets, backlog, zoom agent, ticket format. Okay, yeah. Sounds good.
269 00:26:00.480 ⇒ 00:26:02.789 Amber Lin: Gonna move up to.
270 00:26:06.375 ⇒ 00:26:07.030 Amber Lin: Okay.
271 00:26:07.770 ⇒ 00:26:09.020 Amber Lin: All right.
272 00:26:09.250 ⇒ 00:26:10.740 Amber Lin: Think that’s everything.
273 00:26:11.647 ⇒ 00:26:15.800 Mustafa Raja: But I need a view on 5, 5, 96.
274 00:26:18.680 ⇒ 00:26:20.000 Amber Lin: 5, 96.
275 00:26:20.000 ⇒ 00:26:21.879 Mustafa Raja: ABC. 5, 96. The ticket.
276 00:26:23.880 ⇒ 00:26:27.170 Amber Lin: A, BC, 5, 96.
277 00:26:27.550 ⇒ 00:26:31.440 Amber Lin: Oh, how do I test it?
278 00:26:32.920 ⇒ 00:26:39.000 Mustafa Raja: Just a second. Please let me check if I have added you.
279 00:26:40.590 ⇒ 00:26:42.120 Mustafa Raja: and then we can test it together.
280 00:26:42.590 ⇒ 00:26:43.370 Amber Lin: Hmm.
281 00:26:45.906 ⇒ 00:26:54.310 Mustafa Raja: I I believe I saw in the ABC logs that it was working the feedback logs.
282 00:26:55.690 ⇒ 00:26:58.980 Mustafa Raja: And okay. So in the system prompt.
283 00:27:06.130 ⇒ 00:27:07.620 Mustafa Raja: Oh, I haven’t added it.
284 00:27:08.389 ⇒ 00:27:13.889 Mustafa Raja: Let me add you as both best and.
285 00:27:14.855 ⇒ 00:27:15.450 Amber Lin: Okay.
286 00:27:15.830 ⇒ 00:27:20.939 Amber Lin: Oh, by the way, is Yvette and Janice both pest and mechanical.
287 00:27:21.440 ⇒ 00:27:24.470 Mustafa Raja: You bet, engineers I don’t know
288 00:27:24.900 ⇒ 00:27:32.280 Mustafa Raja: we did. We did do some people. It’s we did. T. Cook and C. Bryant.
289 00:27:32.770 ⇒ 00:27:40.660 Amber Lin: Yeah, I think we should add Yvette and Janice’s email there as well. Let me go grab them for you.
290 00:27:40.660 ⇒ 00:27:44.419 Mustafa Raja: Yeah, yeah, I’m adding yours. I can add them also.
291 00:27:44.420 ⇒ 00:27:45.090 Amber Lin: Yeah.
292 00:27:46.713 ⇒ 00:27:50.070 Mustafa Raja: I’ll add you as both mechanical and pest. Okay.
293 00:27:50.360 ⇒ 00:27:51.030 Amber Lin: Okay.
294 00:27:51.230 ⇒ 00:27:51.640 Mustafa Raja: Yeah.
295 00:27:51.640 ⇒ 00:28:02.090 Amber Lin: Yeah, sounds good. I think we can. We should make a spreadsheet. We should clean the spreadsheet up and just ha classify in the spreadsheet, because that will make our lives easier. And then you can.
296 00:28:03.490 ⇒ 00:28:03.940 Amber Lin: Okay.
297 00:28:03.940 ⇒ 00:28:07.780 Mustafa Raja: Oh, we can actually connect the spreadsheet with this system.
298 00:28:07.780 ⇒ 00:28:16.910 Amber Lin: Yeah. Okay, okay, let me let me create that clean up. Csr email, spread sheets.
299 00:28:19.780 ⇒ 00:28:22.800 Amber Lin: Class they?
300 00:28:23.300 ⇒ 00:28:29.950 Amber Lin: Oh, departments link to this prompt.
301 00:28:29.950 ⇒ 00:28:33.510 Mustafa Raja: Let me know if you have shared the email somewhere.
302 00:28:33.990 ⇒ 00:28:36.930 Amber Lin: Oh, no, not yet. Let me grab there.
303 00:28:37.180 ⇒ 00:28:42.540 Amber Lin: I I honestly want to clean up this and just do it in one. Go, cause it’s.
304 00:28:42.909 ⇒ 00:28:44.759 Mustafa Raja: In the Via the spreadsheet.
305 00:28:45.810 ⇒ 00:28:47.509 Amber Lin: Oh, sorry! Let me
306 00:28:47.750 ⇒ 00:29:06.919 Amber Lin: share this share my screen. I realized I wasn’t sharing. So this was the. It’s in the. It’s in our spreadsheet hub. It’s a very ugly right now, because we have pest people. We have overflow. And then we have some management, and then down there like
307 00:29:08.100 ⇒ 00:29:16.660 Amber Lin: that’s everyone, and then these are mechanical. So probably I’ll probably clean this up.
308 00:29:17.830 ⇒ 00:29:25.619 Mustafa Raja: To add the emails. I did clean it, but I did it in browsers console. So I don’t have the code.
309 00:29:26.470 ⇒ 00:29:31.550 Amber Lin: Oh, okay, I see. That’s okay. That’s okay. I’ll ask AI. It can clean it.
310 00:29:31.550 ⇒ 00:29:32.540 Mustafa Raja: Yeah, yeah.
311 00:29:32.770 ⇒ 00:29:33.440 Amber Lin: Okay.
312 00:29:37.040 ⇒ 00:29:37.940 Mustafa Raja: Let me know if I should.
313 00:29:37.940 ⇒ 00:29:38.570 Amber Lin: Can you?
314 00:29:38.790 ⇒ 00:29:43.360 Amber Lin: Do you mind doing that? Actually to clean this
315 00:29:43.700 ⇒ 00:29:46.560 Amber Lin: to clean this up? Real fat, real, quick.
316 00:29:46.960 ⇒ 00:29:47.680 Mustafa Raja: Yeah, no.
317 00:29:47.970 ⇒ 00:29:48.720 Mustafa Raja: Just.
318 00:29:48.720 ⇒ 00:29:56.479 Amber Lin: Ask AI to separate the emails and the names, and then we can. I can help label what department they’re in.
319 00:29:57.450 ⇒ 00:30:00.170 Mustafa Raja: Yeah, okay, let me
320 00:30:06.360 ⇒ 00:30:13.009 Mustafa Raja: let me just go and do that suicide. And
321 00:30:20.620 ⇒ 00:30:24.300 Mustafa Raja: do Csrs use this in real time?
322 00:30:26.408 ⇒ 00:30:27.879 Amber Lin: Use what in real.
323 00:30:27.880 ⇒ 00:30:29.180 Mustafa Raja: Hello, Andy!
324 00:30:29.440 ⇒ 00:30:30.370 Amber Lin: Yeah, they
325 00:30:30.540 ⇒ 00:30:37.850 Amber Lin: ideally, they do. I don’t know if they do. I want them to. We want them to is is the goal.
326 00:30:38.450 ⇒ 00:30:39.330 Mustafa Raja: Oh!
327 00:30:41.790 ⇒ 00:30:47.479 Amber Lin: Okay, yeah, let me link the spreadsheet here
328 00:30:50.320 ⇒ 00:30:54.160 Amber Lin: also, do you guys have context on the grooming
329 00:30:54.510 ⇒ 00:30:58.519 Amber Lin: to grooming thing in linear? I try to say.
330 00:30:58.730 ⇒ 00:31:05.589 Mustafa Raja: Groom, and is that how I should do? I didn’t get instructions on how I should use it. What should I do?
331 00:31:05.890 ⇒ 00:31:12.340 Mustafa Raja: Yeah, I think we need to comment, groom, and then wait, and then it grooms.
332 00:31:12.810 ⇒ 00:31:13.310 Amber Lin: Okay.
333 00:31:13.616 ⇒ 00:31:14.840 Mustafa Raja: Is that right, Casey?
334 00:31:15.510 ⇒ 00:31:18.690 Casie Aviles: Yeah, it has to be, I think, uppercase G, and then room.
335 00:31:18.690 ⇒ 00:31:26.940 Amber Lin: Oh, okay, I said. Groom and one of the tickets. I haven’t seen it. Come back to me.
336 00:31:28.530 ⇒ 00:31:29.660 Amber Lin: Let’s see.
337 00:31:30.022 ⇒ 00:31:32.559 Mustafa Raja: What does over overflow? Pest mean? Actually.
338 00:31:33.721 ⇒ 00:31:51.790 Amber Lin: So overflow means that they are originally from another department, but they can also cover pest. If they’re overflow pest, they cover also cover. Pest, if they’re overflow mechanical means, they’re from another department originally, but they also cover mechanical.
339 00:31:52.880 ⇒ 00:31:54.130 Mustafa Raja: Hmm.
340 00:31:54.130 ⇒ 00:31:55.519 Amber Lin: There’s like special help.
341 00:31:56.530 ⇒ 00:31:57.750 Mustafa Raja: How.
342 00:31:57.750 ⇒ 00:32:02.469 Amber Lin: This? Okay? Groom, I think, room.
343 00:32:04.490 ⇒ 00:32:06.940 Amber Lin: How long does it usually take to respond.
344 00:32:09.140 ⇒ 00:32:10.799 Casie Aviles: Should be fast. It’s easy.
345 00:32:10.800 ⇒ 00:32:11.280 Mustafa Raja: If it’s a.
346 00:32:11.280 ⇒ 00:32:19.989 Casie Aviles: Gonna reply. It’s either the trigger is not set to read from ABC. Maybe it’s only set to read from internal AI.
347 00:32:19.990 ⇒ 00:32:20.620 Mustafa Raja: Reboot.
348 00:32:20.990 ⇒ 00:32:26.550 Amber Lin: Oh, I see hard for me to test that way. But let me check here
349 00:32:27.400 ⇒ 00:32:37.630 Amber Lin: projects. Let’s say, is there a Pm, okay, issues.
350 00:32:40.960 ⇒ 00:32:44.630 Amber Lin: Oh, well, let’s say, Chrome.
351 00:32:48.670 ⇒ 00:32:49.819 Amber Lin: There you go.
352 00:32:51.810 ⇒ 00:32:54.000 Casie Aviles: Although maybe this can be improved.
353 00:32:54.820 ⇒ 00:33:07.060 Amber Lin: Okay, I mean, yeah, I guess.
354 00:33:07.270 ⇒ 00:33:15.540 Amber Lin: How long would it take you guys to make it available in other in other teams?
355 00:33:21.030 ⇒ 00:33:27.730 Casie Aviles: This was, yeah. Miguel made this. I’ll check if I’ll check the workflow he created, and see if
356 00:33:29.730 ⇒ 00:33:31.419 Casie Aviles: inspect how he did it.
357 00:33:34.837 ⇒ 00:33:41.080 Amber Lin: We’ll need to available in other teams.
358 00:33:44.526 ⇒ 00:33:49.609 Amber Lin: Currently can only use an AI team.
359 00:33:50.730 ⇒ 00:33:51.650 Amber Lin: Okay?
360 00:33:58.380 ⇒ 00:33:59.449 Amber Lin: Oh, wow!
361 00:33:59.690 ⇒ 00:34:00.900 Amber Lin: Sounds good.
362 00:34:13.300 ⇒ 00:34:20.730 Amber Lin: okay, we’ll see tag me in the Channel. If you need further review, I think everybody should be in
363 00:34:21.110 ⇒ 00:34:23.150 Amber Lin: this one.
364 00:34:25.735 ⇒ 00:34:28.550 Amber Lin: Yeah, okay.
365 00:34:46.380 ⇒ 00:34:55.239 Amber Lin: alright, yeah. I’ll leave some comments there. And I think that’s all for us. Yeah, thanks. Everyone.
366 00:34:56.040 ⇒ 00:34:56.779 Casie Aviles: Thank you.
367 00:34:57.090 ⇒ 00:34:58.550 Amber Lin: Alright, bye.