Meeting Title: ABC | backlog grooming Date: 2025-09-03 Meeting participants: Amber Lin, Mustafa Raja, Samuel Roberts, Casie Aviles
WEBVTT
1 00:00:10.140 ⇒ 00:00:11.470 Amber Lin: Hello!
2 00:00:11.810 ⇒ 00:00:12.920 Mustafa Raja: Hey, how are you?
3 00:00:13.550 ⇒ 00:00:17.780 Amber Lin: I’m good. Is Casey… Casey’s back today, right?
4 00:00:17.780 ⇒ 00:00:25.460 Mustafa Raja: Yeah, yeah, yeah, Casey, we had, we had him in, in our stand-up for AI, so he’s… he’s up.
5 00:00:25.460 ⇒ 00:00:27.820 Amber Lin: Sounds good. Do you know if Sam’s gonna be here?
6 00:00:29.250 ⇒ 00:00:32.750 Amber Lin: I think, yes, I’m just, just writing quick. Hello!
7 00:00:33.100 ⇒ 00:00:33.920 Amber Lin: Hi.
8 00:00:35.380 ⇒ 00:00:38.470 Amber Lin: Pretty good. Just waiting for Casey, and then we can start.
9 00:00:38.670 ⇒ 00:00:42.709 Amber Lin: I wanted to mostly grooming for ABC, and then…
10 00:00:42.930 ⇒ 00:00:50.389 Amber Lin: Once we’re done, probably talk a little bit about Somnia Cookies and about other internal stuff we have.
11 00:00:52.020 ⇒ 00:00:57.530 Mustafa Raja: For the… for the home improvement rack, I was able to do it yesterday.
12 00:00:57.530 ⇒ 00:00:58.350 Amber Lin: Awesome.
13 00:00:59.140 ⇒ 00:01:03.220 Mustafa Raja: So, it should be working with the Andy chat.
14 00:01:03.420 ⇒ 00:01:07.919 Amber Lin: Okay, that’s awesome. I’ll go… I’ll go test it out.
15 00:01:08.390 ⇒ 00:01:09.270 Amber Lin: Okay.
16 00:01:09.470 ⇒ 00:01:13.310 Mustafa Raja: Eli, let me know if I need to improve it, or anything else.
17 00:01:14.430 ⇒ 00:01:15.010 Amber Lin: B.
18 00:01:25.130 ⇒ 00:01:28.080 Amber Lin: Hmm, let me check with Casey…
19 00:01:48.120 ⇒ 00:01:49.000 Amber Lin: Okay.
20 00:01:49.260 ⇒ 00:01:53.549 Amber Lin: Sent him a message. On the ABC’s side.
21 00:01:53.740 ⇒ 00:01:58.159 Amber Lin: Sam, how’s the plan for the UI going?
22 00:01:59.060 ⇒ 00:02:01.459 Amber Lin: For the Copilot UI.
23 00:02:01.460 ⇒ 00:02:07.640 Samuel Roberts: Yeah, we had the call yesterday with, Yvette for 8x8,
24 00:02:07.810 ⇒ 00:02:18.410 Samuel Roberts: I… it wasn’t as helpful as I was hoping, because she basically was going to put us in contact with someone at 8x8. So I was kind of waiting for that, but I think there’s…
25 00:02:19.140 ⇒ 00:02:21.880 Samuel Roberts: I think there’s a call happening today between
26 00:02:22.010 ⇒ 00:02:37.539 Samuel Roberts: them in 8x8. It was a little weird in the email, I’m not 100% sure. So I hadn’t… I hadn’t started it yet, because I was kind of waiting to see what the result of that was, to see if it was worth trying to do some of that as well. But, if I don’t hear back about that, let me…
27 00:02:37.990 ⇒ 00:02:39.570 Samuel Roberts: Check my email real quick.
28 00:02:39.980 ⇒ 00:02:46.170 Samuel Roberts: Yeah, there’s not a lot of movement on that yet, but I can start it this afternoon and get probably a good draft out.
29 00:02:46.890 ⇒ 00:02:50.430 Amber Lin: Okay, I also just want to present to them tomorrow.
30 00:02:50.650 ⇒ 00:02:51.550 Samuel Roberts: Tomorrow.
31 00:02:52.250 ⇒ 00:02:52.669 Amber Lin: Do you think.
32 00:02:52.670 ⇒ 00:02:53.320 Samuel Roberts: Okay.
33 00:02:53.470 ⇒ 00:02:54.690 Amber Lin: Do you think that’s.
34 00:02:55.290 ⇒ 00:03:00.739 Samuel Roberts: Yeah, I mean, I can get something, I just don’t know how much, like, feedback… what time tomorrow?
35 00:03:00.980 ⇒ 00:03:08.669 Amber Lin: I’m meeting with, tomorrow at, let’s see, 12 PM PST.
36 00:03:09.840 ⇒ 00:03:12.069 Samuel Roberts: Okay, no, there we go, I see it here now, okay.
37 00:03:12.850 ⇒ 00:03:15.100 Samuel Roberts: Yeah, I can get something together.
38 00:03:16.570 ⇒ 00:03:18.510 Samuel Roberts: maybe… hmm.
39 00:03:19.070 ⇒ 00:03:22.859 Samuel Roberts: I’m just trying to think what other things I might need. I’ll probably ping you for some other content.
40 00:03:23.480 ⇒ 00:03:25.900 Samuel Roberts: Once I dive in.
41 00:03:26.330 ⇒ 00:03:27.560 Amber Lin: Yeah, sounds good.
42 00:03:27.560 ⇒ 00:03:31.300 Samuel Roberts: But yeah, I don’t think the 8x8 stuff’s gonna be resolved by then, so I’ll probably just ignore that for now.
43 00:03:31.300 ⇒ 00:03:31.950 Amber Lin: Okay.
44 00:03:32.820 ⇒ 00:03:35.490 Amber Lin: Sounds good.
45 00:03:39.960 ⇒ 00:03:42.780 Amber Lin: Mustava, how much capacity do you have this week?
46 00:03:42.890 ⇒ 00:03:45.050 Amber Lin: You don’t have that much default work, correct?
47 00:03:45.050 ⇒ 00:03:48.510 Mustafa Raja: Yeah, so for…
48 00:03:48.730 ⇒ 00:03:57.809 Mustafa Raja: Today, mostly, I’m going to work on default, but tomorrow and the after tomorrow, I should be able to take a few more tickets.
49 00:03:58.100 ⇒ 00:03:59.210 Amber Lin: Okay.
50 00:03:59.570 ⇒ 00:04:00.460 Mustafa Raja: Yeah.
51 00:04:00.460 ⇒ 00:04:01.380 Amber Lin: Num.
52 00:04:01.380 ⇒ 00:04:04.369 Mustafa Raja: Yeah, let me know if I need to work on anything for ABC.
53 00:04:04.740 ⇒ 00:04:12.040 Amber Lin: Yeah, we need to create… And… Let’s see…
54 00:04:12.470 ⇒ 00:04:16.009 Amber Lin: I think on the lawn side, we also have some…
55 00:04:18.570 ⇒ 00:04:23.230 Amber Lin: So essentially, it’s the same as home improvement. They also have some…
56 00:04:23.380 ⇒ 00:04:25.940 Amber Lin: Docs that they need to add.
57 00:04:26.510 ⇒ 00:04:28.320 Mustafa Raja: To the center lock.
58 00:04:28.320 ⇒ 00:04:34.830 Amber Lin: Yeah, so I need to… I need to create the… we have the central doc, but…
59 00:04:35.110 ⇒ 00:04:39.360 Amber Lin: We need to add the loan spreadsheet. I’ll assign that to you.
60 00:04:39.640 ⇒ 00:04:40.320 Mustafa Raja: Yep.
61 00:04:41.300 ⇒ 00:04:45.460 Mustafa Raja: And also, do we need to add that to the rag?
62 00:04:45.900 ⇒ 00:04:57.549 Amber Lin: I think once it’s done, we can add it to the reg… so probably once you finish this recipes, we can add it. Let me grab that question.
63 00:04:58.680 ⇒ 00:04:59.800 Amber Lin: Boom.
64 00:05:00.450 ⇒ 00:05:01.850 Amber Lin: Oh, hi Casey!
65 00:05:03.150 ⇒ 00:05:05.039 Casie Aviles: Hey, sorry, Jess, can you hear me?
66 00:05:05.390 ⇒ 00:05:06.060 Amber Lin: Yeah, I can hear you.
67 00:05:06.060 ⇒ 00:05:06.680 Samuel Roberts: women?
68 00:05:07.400 ⇒ 00:05:08.970 Amber Lin: Okay. How do you feel?
69 00:05:09.670 ⇒ 00:05:10.120 Amber Lin: I know you were.
70 00:05:10.120 ⇒ 00:05:12.020 Casie Aviles: I feel better right now.
71 00:05:12.500 ⇒ 00:05:13.120 Amber Lin: Okay.
72 00:05:13.160 ⇒ 00:05:14.100 Casie Aviles: But, yeah.
73 00:05:14.100 ⇒ 00:05:17.329 Amber Lin: I have a power outage right now, which sucks. Oh!
74 00:05:17.330 ⇒ 00:05:17.790 Samuel Roberts: Yeah.
75 00:05:18.370 ⇒ 00:05:19.040 Amber Lin: Oof.
76 00:05:19.720 ⇒ 00:05:21.180 Casie Aviles: I see. Sorry, yeah.
77 00:05:22.570 ⇒ 00:05:23.580 Amber Lin: All good.
78 00:05:23.970 ⇒ 00:05:28.620 Amber Lin: Right now we’re just doing a quick grooming of ABC.
79 00:05:28.720 ⇒ 00:05:34.140 Amber Lin: And then, I think once this is done, we’ll talk a bit about the other…
80 00:05:34.140 ⇒ 00:05:35.550 Casie Aviles: of the other…
81 00:05:35.550 ⇒ 00:05:37.379 Amber Lin: The… the other projects.
82 00:05:37.780 ⇒ 00:05:40.930 Amber Lin: Looking at here…
83 00:05:52.160 ⇒ 00:05:54.940 Amber Lin: Heh.
84 00:05:57.050 ⇒ 00:06:00.879 Amber Lin: I think, Casey, so for the rest of this week, we probably…
85 00:06:01.030 ⇒ 00:06:05.609 Amber Lin: Be working on the two databases.
86 00:06:05.960 ⇒ 00:06:15.530 Amber Lin: Would you like help on that end? Because I think Mustafa and Sam all both have some capacity
87 00:06:15.800 ⇒ 00:06:18.159 Amber Lin: How can we help you?
88 00:06:18.450 ⇒ 00:06:19.690 Amber Lin: with that.
89 00:06:23.740 ⇒ 00:06:27.029 Casie Aviles: I mean, yeah, it’s fine if,
90 00:06:27.310 ⇒ 00:06:32.230 Casie Aviles: Yeah, I don’t mind. I think I can… I’ll try to take on…
91 00:06:34.170 ⇒ 00:06:35.980 Casie Aviles: At least one of these, then.
92 00:06:40.480 ⇒ 00:06:41.210 Casie Aviles: I’m just thinking about.
93 00:06:41.210 ⇒ 00:06:45.620 Amber Lin: be a lot faster. Do you want to pair with Sam, or how do you want it to work?
94 00:06:48.950 ⇒ 00:06:54.719 Casie Aviles: Well, I’ll take on the tickets first, and then I did talk about some…
95 00:06:54.940 ⇒ 00:07:00.739 Casie Aviles: earlier was… I could, you know, if I need help, then I’ll… I’ll ask, I’ll ping him, but…
96 00:07:00.740 ⇒ 00:07:01.830 Amber Lin: Yeah.
97 00:07:01.830 ⇒ 00:07:05.950 Samuel Roberts: Yeah, we talked about that this morning, so… but yeah, feel free to reach out as soon as, you know…
98 00:07:06.090 ⇒ 00:07:07.810 Samuel Roberts: Any questions or anything?
99 00:07:08.290 ⇒ 00:07:08.820 Casie Aviles: Yeah, because…
100 00:07:08.820 ⇒ 00:07:09.480 Samuel Roberts: With a pair.
101 00:07:10.180 ⇒ 00:07:13.439 Casie Aviles: Yeah, this is just going to be… yeah, the…
102 00:07:15.380 ⇒ 00:07:20.470 Casie Aviles: Aggregating from these three existing tables, and also just making sure that
103 00:07:20.870 ⇒ 00:07:25.579 Casie Aviles: The roles are correct from the original spreadsheet, so…
104 00:07:26.910 ⇒ 00:07:29.270 Casie Aviles: Yeah, I’ll take this one for now.
105 00:07:29.800 ⇒ 00:07:34.390 Amber Lin: Okay, sounds good. For this one…
106 00:07:38.420 ⇒ 00:07:42.740 Amber Lin: Where would it include the previous… oh, okay.
107 00:07:43.310 ⇒ 00:07:54.090 Amber Lin: Sounds good so, I guess this is only for when it has a one-word input.
108 00:07:56.420 ⇒ 00:07:57.420 Samuel Roberts: Oh, interesting.
109 00:07:58.020 ⇒ 00:07:59.220 Amber Lin: This one.
110 00:07:59.220 ⇒ 00:08:00.250 Casie Aviles: Oh…
111 00:08:00.710 ⇒ 00:08:01.979 Amber Lin: When does this one…
112 00:08:01.980 ⇒ 00:08:02.909 Casie Aviles: Yeah, yeah, this is for…
113 00:08:02.910 ⇒ 00:08:03.930 Amber Lin: rule apply.
114 00:08:06.100 ⇒ 00:08:09.770 Casie Aviles: It applies when the input is just the one word.
115 00:08:10.140 ⇒ 00:08:15.820 Casie Aviles: So, if it’s just pest, or… Yeah, anyone would…
116 00:08:15.980 ⇒ 00:08:20.819 Casie Aviles: String of text, and it will… it will get the past.
117 00:08:21.410 ⇒ 00:08:26.129 Casie Aviles: conversation, but… Yeah, this should be an AI step instead, so it’s not that…
118 00:08:26.490 ⇒ 00:08:29.339 Casie Aviles: Rigid, because it’s very rigid right now.
119 00:08:30.180 ⇒ 00:08:30.610 Amber Lin: I see.
120 00:08:30.610 ⇒ 00:08:31.180 Samuel Roberts: Nope.
121 00:08:31.430 ⇒ 00:08:39.459 Samuel Roberts: what is being passed? So when they… Make the request from… Google Chat. GChat.
122 00:08:39.710 ⇒ 00:08:42.440 Samuel Roberts: It’s just processing that individually.
123 00:08:43.580 ⇒ 00:08:44.159 Samuel Roberts: Normally.
124 00:08:44.169 ⇒ 00:08:44.939 Casie Aviles: Yes.
125 00:08:44.939 ⇒ 00:08:45.749 Samuel Roberts: Okay.
126 00:08:45.909 ⇒ 00:08:46.719 Casie Aviles: Yeah.
127 00:08:47.499 ⇒ 00:08:49.519 Casie Aviles: And what I did here is…
128 00:08:49.629 ⇒ 00:08:55.559 Casie Aviles: If the input is just one word, then it will get… it will query the…
129 00:08:55.959 ⇒ 00:08:58.119 Casie Aviles: The last message that was sent.
130 00:08:59.679 ⇒ 00:09:11.119 Casie Aviles: So we can get, like, an entire, like, a better look, look into the… the entire conver… like, not the entire conversation, but the message asked before.
131 00:09:11.800 ⇒ 00:09:16.679 Samuel Roberts: Oh, okay, okay, I didn’t realize that’s how this was working. Okay, interesting.
132 00:09:18.040 ⇒ 00:09:20.169 Samuel Roberts: That’s just how the flow is set up right now.
133 00:09:20.170 ⇒ 00:09:21.280 Amber Lin: And then I don’t.
134 00:09:22.020 ⇒ 00:09:22.520 Casie Aviles: Yeah.
135 00:09:22.520 ⇒ 00:09:24.320 Samuel Roberts: Just to handle individual… okay.
136 00:09:25.720 ⇒ 00:09:30.129 Samuel Roberts: Good to know. I’ll take that into account as I’m working on the, Copilot chat UI.
137 00:09:30.440 ⇒ 00:09:32.930 Samuel Roberts: We might need to restructure that a little bit, potentially.
138 00:09:34.890 ⇒ 00:09:37.330 Samuel Roberts: That would also make it a little more.
139 00:09:37.680 ⇒ 00:09:38.350 Casie Aviles: Okay.
140 00:09:38.550 ⇒ 00:09:41.800 Samuel Roberts: Yeah, like, like, have a better conversation, hopefully.
141 00:09:51.790 ⇒ 00:09:53.050 Amber Lin: Okay.
142 00:09:53.810 ⇒ 00:09:59.589 Amber Lin: Sounds good. Casey, how much work do you have on the internal stuff?
143 00:10:02.060 ⇒ 00:10:07.040 Casie Aviles: For internal, I… I don’t have much tickets for this…
144 00:10:07.170 ⇒ 00:10:10.400 Casie Aviles: We can… except for, like, the data platform stuff.
145 00:10:11.080 ⇒ 00:10:18.250 Amber Lin: Okay, that’s awesome. So, I think these are, like, this was at least a full day.
146 00:10:18.300 ⇒ 00:10:33.830 Amber Lin: And then… because we have Wednesday, Thursday, Friday. We have some triage tickets here and there, I’ll assign to… I think it was stuff that I’ll assign some to you, and then I’ll assign some to Casey.
147 00:10:33.890 ⇒ 00:10:37.400 Amber Lin: And Sam, I’ll probably also assign a few to you.
148 00:10:38.020 ⇒ 00:10:51.300 Amber Lin: Let’s see… Tree inspector… Now, these are… Do you think?
149 00:10:56.070 ⇒ 00:11:00.740 Amber Lin: Let’s check… For these, if it…
150 00:11:01.000 ⇒ 00:11:03.949 Amber Lin: Mustafa, once you check this, and if it…
151 00:11:04.550 ⇒ 00:11:13.309 Amber Lin: something that they need to edit in the central doc, just assign it to Tara, so that will be this… this person.
152 00:11:13.540 ⇒ 00:11:14.240 Mustafa Raja: Okay.
153 00:11:14.240 ⇒ 00:11:14.620 Amber Lin: Yeah.
154 00:11:14.620 ⇒ 00:11:20.520 Mustafa Raja: So what I need to do is I need to see if there needs to be something added in the central dog, right?
155 00:11:20.520 ⇒ 00:11:24.880 Amber Lin: Yeah, just to see if it’s our fault, or that they just don’t have the information.
156 00:11:25.170 ⇒ 00:11:27.130 Samuel Roberts: That goes right to her if you tag her there.
157 00:11:27.580 ⇒ 00:11:28.180 Amber Lin: Yeah.
158 00:11:29.110 ⇒ 00:11:29.730 Amber Lin: better.
159 00:11:29.870 ⇒ 00:11:33.179 Amber Lin: Yeah, I just make sure to add whatever context to that as well, we can figure it out.
160 00:11:33.180 ⇒ 00:11:34.190 Mustafa Raja: Yeah, okay.
161 00:11:34.520 ⇒ 00:11:41.370 Amber Lin: And this is… I don’t… I don’t… I don’t know if this is still a valid comment.
162 00:11:41.750 ⇒ 00:11:43.100 Amber Lin: I’m not sure.
163 00:11:44.060 ⇒ 00:11:49.640 Amber Lin: What’s the way? I think this is… A valid landscape…
164 00:11:51.100 ⇒ 00:11:55.490 Amber Lin: Okay, I feel like we might have something wrong with the landscape stuff.
165 00:11:55.490 ⇒ 00:11:56.380 Samuel Roberts: Hmm.
166 00:11:56.710 ⇒ 00:12:11.170 Amber Lin: And… Let’s see… Assign that to new… List, inspector… Okay, what’s the feedback?
167 00:12:16.560 ⇒ 00:12:17.540 Amber Lin: Oops.
168 00:12:18.710 ⇒ 00:12:24.260 Amber Lin: Gree Inspector says… Huh?
169 00:12:26.620 ⇒ 00:12:28.180 Amber Lin: Taiwan Hotels.
170 00:12:29.650 ⇒ 00:12:30.510 Amber Lin: Bye.
171 00:12:30.750 ⇒ 00:12:32.250 Amber Lin: Don’t know.
172 00:12:32.600 ⇒ 00:12:39.909 Casie Aviles: I think what he’s trying to say is that for… it should be for the… a different inspector for the tree.
173 00:12:40.860 ⇒ 00:12:43.269 Casie Aviles: Should be Tyler Level, I believe.
174 00:12:46.200 ⇒ 00:12:48.240 Casie Aviles: And, the three inspectors.
175 00:12:48.900 ⇒ 00:12:49.730 Casie Aviles: that this…
176 00:12:49.730 ⇒ 00:12:51.329 Samuel Roberts: Missing edition.
177 00:12:51.330 ⇒ 00:12:53.340 Casie Aviles: Returned is not the same one.
178 00:12:54.620 ⇒ 00:12:56.010 Amber Lin: Let’s see…
179 00:12:58.460 ⇒ 00:13:03.269 Samuel Roberts: So, are some of these issues gonna be, hopefully, resolved with the database more than the sheets?
180 00:13:04.620 ⇒ 00:13:08.190 Samuel Roberts: Like, is this… is this a querying issue, probably, or a…
181 00:13:08.190 ⇒ 00:13:19.999 Amber Lin: I think it’s partly a query issue and partly errors when we created the database. I think we’re missing some of them when we made the database. There’s some translation errors within the spreadsheet.
182 00:13:20.000 ⇒ 00:13:20.880 Samuel Roberts: Oh…
183 00:13:20.880 ⇒ 00:13:28.929 Amber Lin: coordinates don’t always, like, we’re not always perfectly accurate, especially we’re combining so many tabs down to.
184 00:13:28.930 ⇒ 00:13:31.420 Samuel Roberts: Yeah, yeah, okay. Makes sense.
185 00:13:31.420 ⇒ 00:13:33.990 Amber Lin: So, some of these we’ll just have to fix.
186 00:13:34.740 ⇒ 00:13:37.399 Samuel Roberts: Doo-doo…
187 00:13:46.520 ⇒ 00:13:48.299 Amber Lin: And then this one.
188 00:13:49.290 ⇒ 00:13:54.990 Amber Lin: Landscaping… I don’t think any understand what landscaping designer is.
189 00:13:56.810 ⇒ 00:13:57.470 Samuel Roberts: Hmm.
190 00:14:01.600 ⇒ 00:14:04.410 Amber Lin: It’s either that, or we don’t…
191 00:14:09.750 ⇒ 00:14:11.790 Amber Lin: Yeah, or we don’t have info for that.
192 00:14:11.790 ⇒ 00:14:14.170 Mustafa Raja: Which sheet is it coming from?
193 00:14:14.390 ⇒ 00:14:18.900 Amber Lin: This should be the tech sheet.
194 00:14:24.250 ⇒ 00:14:29.370 Amber Lin: Skills and zip sheet.
195 00:14:30.170 ⇒ 00:14:31.070 Amber Lin: Okay.
196 00:14:32.450 ⇒ 00:14:41.490 Amber Lin: medium to do… I’m trying to… Baby seagull and tanks.
197 00:14:43.490 ⇒ 00:14:45.240 Amber Lin: Available rodent.
198 00:14:48.700 ⇒ 00:14:49.560 Amber Lin: Huh.
199 00:14:50.620 ⇒ 00:14:51.470 Amber Lin: G’day.
200 00:14:58.570 ⇒ 00:14:59.460 Amber Lin: Okay.
201 00:15:00.140 ⇒ 00:15:08.490 Amber Lin: So I think most… oh, Casey, I wanted to ask, do you know if the… Sorry, the…
202 00:15:09.390 ⇒ 00:15:14.349 Amber Lin: Transcript Daxter was fixed. I know Utam sent something in the chat yesterday.
203 00:15:20.520 ⇒ 00:15:21.679 Samuel Roberts: Yeah, I think he was…
204 00:15:24.150 ⇒ 00:15:28.129 Samuel Roberts: No, I don’t think it was fixed. I think he was trying to figure out why it wasn’t even working the right way.
205 00:15:28.530 ⇒ 00:15:30.270 Samuel Roberts: I don’t know what the status of that is.
206 00:15:33.040 ⇒ 00:15:38.879 Amber Lin: I see, so… he said he has no idea if this script works at all.
207 00:15:39.270 ⇒ 00:15:40.240 Amber Lin: Ugh.
208 00:15:41.240 ⇒ 00:15:46.539 Amber Lin: I think Vasha made a completely AI-generated code, and it was not.
209 00:15:46.800 ⇒ 00:15:47.220 Samuel Roberts: Yeah.
210 00:15:47.220 ⇒ 00:15:48.040 Amber Lin: 13.
211 00:15:48.260 ⇒ 00:15:49.919 Samuel Roberts: That’s what it seemed like at the day.
212 00:15:49.920 ⇒ 00:15:51.410 Amber Lin: The URL wasn’t even wrong?
213 00:15:52.250 ⇒ 00:15:55.439 Amber Lin: Sounds… okay, so that’s still blocked.
214 00:15:59.950 ⇒ 00:16:02.310 Amber Lin: Let’s check by each person.
215 00:16:02.710 ⇒ 00:16:08.019 Amber Lin: Mmm… The lawn central dog.
216 00:16:09.260 ⇒ 00:16:10.030 Amber Lin: Okay.
217 00:16:10.560 ⇒ 00:16:21.750 Amber Lin: I’ll try… I’ll try to get started on this. I might not get it done. I think the rest… I’ll make a clear which to add which section, and I’ll assign it to you once I go through,
218 00:16:21.850 ⇒ 00:16:29.099 Amber Lin: Most of the… hopefully. I can… hopefully I can finish it. And then…
219 00:16:30.470 ⇒ 00:16:40.560 Amber Lin: And inspector sheet update instructions. Oh, I’ll include that, I think that will be helpful for you guys.
220 00:16:41.010 ⇒ 00:16:47.010 Amber Lin: This is tomorrow, triage feedbacks. So, Casey’s mostly the database.
221 00:16:47.520 ⇒ 00:16:57.070 Amber Lin: And then… We have, like… A few left here…
222 00:16:58.200 ⇒ 00:17:02.650 Amber Lin: Casey, do you have capacity to look at these, or should I assign them?
223 00:17:03.160 ⇒ 00:17:05.110 Amber Lin: to different people.
224 00:17:06.790 ⇒ 00:17:08.810 Casie Aviles: I’ll go take a look at this.
225 00:17:09.200 ⇒ 00:17:09.670 Amber Lin: Okay.
226 00:17:09.670 ⇒ 00:17:10.989 Casie Aviles: And then, yeah, click.
227 00:17:11.460 ⇒ 00:17:12.730 Amber Lin: Yeah, let us know.
228 00:17:13.140 ⇒ 00:17:24.400 Amber Lin: Here’s our feedback… The mechanical… Sounds good.
229 00:17:25.970 ⇒ 00:17:27.800 Amber Lin: And then for sale…
230 00:17:31.940 ⇒ 00:17:35.090 Amber Lin: For Tara, I need to check if she updated it.
231 00:17:35.730 ⇒ 00:17:38.429 Amber Lin: Then for Uten, okay.
232 00:17:40.420 ⇒ 00:17:48.200 Amber Lin: Alright, I think that is for… Where did a Daxter… S3 ticket go.
233 00:17:50.230 ⇒ 00:17:51.530 Amber Lin: Oh…
234 00:17:56.070 ⇒ 00:17:56.940 Samuel Roberts: Yeah.
235 00:17:56.940 ⇒ 00:17:58.290 Amber Lin: He’s working on it.
236 00:18:02.370 ⇒ 00:18:13.620 Amber Lin: I wonder… Oh, well. Anyways, next I want to look at Insomniac cookies, and then… for…
237 00:18:13.760 ⇒ 00:18:16.559 Amber Lin: For the internal work.
238 00:18:16.840 ⇒ 00:18:20.760 Amber Lin: Just really quick, insomnia cookies…
239 00:18:20.980 ⇒ 00:18:27.319 Amber Lin: How’s the manual fill and the automations going? Is there still issues in the manual fill?
240 00:18:30.630 ⇒ 00:18:36.429 Casie Aviles: It’s mostly just… I wasn’t able to do it for the past few days, which is what was flagged.
241 00:18:37.210 ⇒ 00:18:42.159 Casie Aviles: And the automation itself is not…
242 00:18:42.510 ⇒ 00:18:48.819 Casie Aviles: Directly updating their… the client’s actual trackers or spreadsheets.
243 00:18:49.520 ⇒ 00:18:51.530 Casie Aviles: So that’s why it’s not being synced.
244 00:18:52.320 ⇒ 00:18:58.430 Casie Aviles: automatically, as they would… might be hoping for. So, what I do is I get the…
245 00:18:58.920 ⇒ 00:19:07.500 Casie Aviles: the data that has been automatically extracted, and then I still have to, like, you know, copy-paste that. And then…
246 00:19:09.010 ⇒ 00:19:12.309 Casie Aviles: onto their tracker, and then I would also have to…
247 00:19:13.740 ⇒ 00:19:16.219 Casie Aviles: Double-check if it’s actually correct, and that…
248 00:19:16.350 ⇒ 00:19:19.919 Casie Aviles: Process is a bit manual, to double-check.
249 00:19:19.960 ⇒ 00:19:20.960 Amber Lin: But…
250 00:19:21.170 ⇒ 00:19:28.520 Casie Aviles: Otherwise, I think the only reason that was being flagged that last time was, yeah, I was out then, so it wasn’t updated.
251 00:19:28.520 ⇒ 00:19:31.150 Amber Lin: I see, I see.
252 00:19:32.390 ⇒ 00:19:41.299 Amber Lin: I mean, at this point, since a lot of it is automated, I think if you’re out, we should be able to cover for you,
253 00:19:41.610 ⇒ 00:19:48.009 Amber Lin: And just maybe, you can… next time you do it, just record a loom, and then next time that you’re out, we can cover.
254 00:19:49.510 ⇒ 00:19:53.250 Casie Aviles: I don’t want you to have to work when you’re on TTO.
255 00:19:54.460 ⇒ 00:19:57.220 Casie Aviles: Yeah, okay, so I’ll just, clean up.
256 00:20:00.850 ⇒ 00:20:05.039 Casie Aviles: the automations, mixture, and then I think the new… the automated process.
257 00:20:06.010 ⇒ 00:20:11.999 Casie Aviles: So, I will also work on that, and then he will review it tomorrow with me, I believe.
258 00:20:12.520 ⇒ 00:20:13.220 Amber Lin: Okay.
259 00:20:13.650 ⇒ 00:20:23.350 Amber Lin: Is the Uber part stuck, or is it… I know Utom sent, like, a fix… There.
260 00:20:24.800 ⇒ 00:20:25.520 Casie Aviles: Wow.
261 00:20:25.520 ⇒ 00:20:26.270 Samuel Roberts: It’s not Uber.
262 00:20:26.270 ⇒ 00:20:28.069 Casie Aviles: Yeah, this is… yeah, UberX.
263 00:20:29.950 ⇒ 00:20:31.250 Amber Lin: Oh, wait.
264 00:20:31.250 ⇒ 00:20:35.690 Samuel Roberts: Uber Eats was the, the spike that Casey did about…
265 00:20:35.690 ⇒ 00:20:36.380 Amber Lin: Oh…
266 00:20:36.380 ⇒ 00:20:38.600 Samuel Roberts: The fact that there’s no API access?
267 00:20:42.330 ⇒ 00:20:45.170 Amber Lin: So, what should we do on the Uber Eats side?
268 00:20:45.730 ⇒ 00:20:50.409 Samuel Roberts: Well, yeah, we were talking about that this morning. There’s basically 3 options that Casey outlined,
269 00:20:50.750 ⇒ 00:20:57.559 Samuel Roberts: The first one is to get the API access, but that’s a… a complicated thing to do, because there’s, like, licensing agreements to sign with Uber.
270 00:20:57.950 ⇒ 00:21:03.750 Samuel Roberts: The other one is the kind of browser automation.
271 00:21:04.370 ⇒ 00:21:23.140 Samuel Roberts: Which is not a great solution, because it’s going to be fairly brittle, and it has to download a file and then process that file. And then the third one… and correct me if I get any of this wrong, Casey… the third one is the, automated generation that it has, but it only does that on a weekly or monthly basis.
272 00:21:23.250 ⇒ 00:21:24.830 Casie Aviles: Yes, yes.
273 00:21:25.070 ⇒ 00:21:34.099 Samuel Roberts: So, I think we were talking this morning, I was thinking that we’re gonna have to just do, like, fight the bullet and do the kind of less-than-ideal browser automation.
274 00:21:34.630 ⇒ 00:21:41.229 Samuel Roberts: If they need daily, but we figured we’d talk about it here, because we weren’t 100% sure, like, what their…
275 00:21:41.530 ⇒ 00:21:45.899 Samuel Roberts: Exact need? Like, is that, you know, they want it daily, so the third one doesn’t really work.
276 00:21:46.220 ⇒ 00:21:48.580 Samuel Roberts: And the first one seems…
277 00:21:48.680 ⇒ 00:21:53.049 Samuel Roberts: like, a lot of hoops to jump through with Uber, and they probably… they might not even care.
278 00:21:53.210 ⇒ 00:21:56.219 Samuel Roberts: And it seems like it’s a big, like, partnership agreement.
279 00:21:58.870 ⇒ 00:22:08.459 Amber Lin: Yeah, I think they want to see how things change daily. They… like, right now, they want us to fill in the scorecard manually each day.
280 00:22:08.460 ⇒ 00:22:09.010 Samuel Roberts: gap.
281 00:22:09.160 ⇒ 00:22:15.129 Amber Lin: So, probably have to go with the more finicky approach.
282 00:22:15.260 ⇒ 00:22:18.179 Amber Lin: We could build it and see how it goes. How long.
283 00:22:18.180 ⇒ 00:22:19.830 Samuel Roberts: I think we’re gonna have to, yeah.
284 00:22:19.830 ⇒ 00:22:20.600 Amber Lin: Yeah.
285 00:22:23.160 ⇒ 00:22:29.930 Amber Lin: Does VIN create the report and download it? Like, is it plausible through the browser automation?
286 00:22:31.470 ⇒ 00:22:43.680 Casie Aviles: I think there could be a way, but yeah, it’s, like as mentioned, it’s not gonna be the best solution, like, it’s not the cleanest solution, but we can try with that approach.
287 00:22:45.350 ⇒ 00:22:49.970 Samuel Roberts: Yeah, I think we’re gonna have to, and just see how it goes, and reevaluate if it’s bad for some reason.
288 00:22:50.510 ⇒ 00:22:51.650 Amber Lin: Okay.
289 00:22:51.830 ⇒ 00:22:57.419 Amber Lin: So, I know, Casey, you have the ABC stuff, and then you have the…
290 00:22:57.800 ⇒ 00:23:02.910 Amber Lin: So I probably will close the spike, and then we can do the…
291 00:23:04.090 ⇒ 00:23:09.080 Amber Lin: the Uber Eats manager automations, and then the Meta Spike.
292 00:23:09.750 ⇒ 00:23:13.309 Amber Lin: Probably the looker… mostly the looker report spike.
293 00:23:14.430 ⇒ 00:23:15.100 Casie Aviles: Okay.
294 00:23:15.850 ⇒ 00:23:22.700 Amber Lin: Yeah. Do you have enough… I’m gonna cancel the due dates on these. Do you have enough time to do these? Would you like help?
295 00:23:23.250 ⇒ 00:23:25.210 Amber Lin: From… anyone?
296 00:23:27.230 ⇒ 00:23:34.590 Casie Aviles: I can… I can… I’ll… I’ll work on the automation side, for this bike.
297 00:23:35.770 ⇒ 00:23:42.350 Casie Aviles: I can also do, like, a quick spike for MetaLooker. I think this is going to be faster.
298 00:23:43.710 ⇒ 00:23:46.060 Casie Aviles: So I’ll try to spend just…
299 00:23:46.800 ⇒ 00:23:50.420 Casie Aviles: I don’t know, I guess 2 hours for this spec for now, and then…
300 00:23:52.250 ⇒ 00:23:59.089 Casie Aviles: I will likely spend more hours on the automation itself, which is probably around 2 or 3 points for…
301 00:23:59.090 ⇒ 00:24:00.499 Amber Lin: Okay. The Uber one.
302 00:24:03.130 ⇒ 00:24:09.950 Amber Lin: Okay, sounds good. So I’ll say both of these at the end of this week.
303 00:24:11.230 ⇒ 00:24:11.820 Casie Aviles: Okay.
304 00:24:11.820 ⇒ 00:24:16.460 Amber Lin: Sam, do you have capacity to help with the meta spy- the looker spike?
305 00:24:18.130 ⇒ 00:24:22.760 Samuel Roberts: Yeah, I don’t know much about that yet, but,
306 00:24:24.190 ⇒ 00:24:26.329 Samuel Roberts: Was… what are the details on that?
307 00:24:26.590 ⇒ 00:24:30.839 Amber Lin: It’s mostly just a lookup report that has
308 00:24:31.240 ⇒ 00:24:43.420 Amber Lin: for each day, there’s two lines, one line for their meta ads performance cost and revenue, one line for their Google Ads cost and revenue. So, essentially, it’s a Looker Report. Looker is a BI tool.
309 00:24:43.770 ⇒ 00:24:46.770 Samuel Roberts: Right, so we’re… we’re filling in the looker, or pulling it from the looker?
310 00:24:46.770 ⇒ 00:24:50.879 Amber Lin: And we’re pulling from the Looker, because that’s how we can get access to the meta, and I think.
311 00:24:50.880 ⇒ 00:24:51.480 Samuel Roberts: Okay.
312 00:24:51.480 ⇒ 00:24:54.060 Amber Lin: Where do we get it from? From Looker to a spreadsheet?
313 00:24:54.210 ⇒ 00:24:55.390 Amber Lin: That’s all.
314 00:24:58.330 ⇒ 00:25:01.979 Samuel Roberts: Yeah, I can take a look at that, I guess.
315 00:25:03.400 ⇒ 00:25:05.860 Samuel Roberts: we have all the access somewhere that I can…
316 00:25:06.450 ⇒ 00:25:08.210 Casie Aviles: I can add the link.
317 00:25:08.940 ⇒ 00:25:10.709 Samuel Roberts: For the looker.
318 00:25:12.930 ⇒ 00:25:14.379 Samuel Roberts: Yeah, I can take a look.
319 00:25:14.590 ⇒ 00:25:15.640 Samuel Roberts: Bye, bye.
320 00:25:15.890 ⇒ 00:25:19.559 Samuel Roberts: Can’t make progress, or I’m lost, but I haven’t done that yet. I’ll let anyone know.
321 00:25:20.000 ⇒ 00:25:21.440 Amber Lin: Yeah, sounds good.
322 00:25:21.780 ⇒ 00:25:30.240 Amber Lin: Take a platform… Boom.
323 00:25:31.210 ⇒ 00:25:32.430 Amber Lin: My book.
324 00:25:33.480 ⇒ 00:25:34.180 Amber Lin: Okay…
325 00:25:37.760 ⇒ 00:25:38.530 Amber Lin: Oh.
326 00:25:47.810 ⇒ 00:25:49.889 Casie Aviles: I think some of these are in review.
327 00:25:50.110 ⇒ 00:25:51.710 Samuel Roberts: Yeah, he… look at the bottom, he…
328 00:25:51.710 ⇒ 00:25:54.339 Amber Lin: Oh, I see, so he already did it.
329 00:25:54.340 ⇒ 00:25:54.900 Samuel Roberts: Yeah.
330 00:25:54.900 ⇒ 00:26:00.690 Amber Lin: Okay, so I’m gonna clean… Delete those. Okay.
331 00:26:00.870 ⇒ 00:26:05.510 Amber Lin: then I don’t think we have much there to do. Woodrum has done it.
332 00:26:05.710 ⇒ 00:26:09.730 Amber Lin: So we’ll just focus on ABC and insomnia.
333 00:26:13.000 ⇒ 00:26:13.840 Casie Aviles: Okay.
334 00:26:14.010 ⇒ 00:26:14.750 Amber Lin: Yep.
335 00:26:15.490 ⇒ 00:26:21.180 Amber Lin: Is everything… everyone clear on what we need to do?
336 00:26:21.460 ⇒ 00:26:22.110 Mustafa Raja: Yeah.
337 00:26:22.400 ⇒ 00:26:22.980 Amber Lin: Okay.
338 00:26:23.150 ⇒ 00:26:24.200 Amber Lin: Sounds good.
339 00:26:24.750 ⇒ 00:26:27.359 Amber Lin: Well, thank you, everyone. I’ll talk to you tomorrow.
340 00:26:27.360 ⇒ 00:26:36.070 Samuel Roberts: Actually, Amber, can you hold on just a couple minutes? I’m curious, I want to just do a quick, like, debrief for… on the, like, just a quick brain dump, maybe, on the Copilot case.
341 00:26:36.430 ⇒ 00:26:40.879 Samuel Roberts: Just because I want a little more context of, like, what to include and stuff like that.
342 00:26:42.090 ⇒ 00:26:45.040 Samuel Roberts: But, yeah, you guys are probably good if you want to hop off.
343 00:26:45.040 ⇒ 00:26:48.340 Amber Lin: I think KC will be… KCM7 will be helpful, because they.
344 00:26:48.340 ⇒ 00:26:54.250 Samuel Roberts: Oh, okay, that’s fine, yeah, no, they have context, too. I’m just wondering, because I… yeah, so I did the little co-pilot demo with the.
345 00:26:54.250 ⇒ 00:26:55.150 Amber Lin: Huh.
346 00:26:55.150 ⇒ 00:26:59.910 Samuel Roberts: My question is… Like, what are we looking to show them in this plan?
347 00:27:00.060 ⇒ 00:27:04.710 Samuel Roberts: Specifically, like, what has been discussed with them, because I don’t know if I was involved with that early.
348 00:27:05.060 ⇒ 00:27:22.159 Amber Lin: Yeah, so I think the plan is most likely, what are we… number one, what are we trying to build? So what is this… what is this thing? What features does it have, and what difference does it have compared to the Google Chat? So I guess we have to list out some limitations.
349 00:27:22.160 ⇒ 00:27:22.680 Samuel Roberts: Got it.
350 00:27:22.680 ⇒ 00:27:36.919 Amber Lin: Google Chat, and then what the other thing can enable us. For example, the co-pilot, or the one that showed, the original documents that show… that it’s coming from, or in the future, maybe, oh, if we want to have voice, if we want to have listening.
351 00:27:36.920 ⇒ 00:27:45.239 Amber Lin: What is that feature going to be, like, exactly? And, then we have the breakdown. Okay, how long does this take
352 00:27:45.240 ⇒ 00:27:52.219 Amber Lin: How do we get there? What are the steps we need to take to achieve, that plan?
353 00:27:52.410 ⇒ 00:27:52.910 Amber Lin: And…
354 00:27:52.910 ⇒ 00:27:53.640 Samuel Roberts: Yeah, that’s fine.
355 00:27:53.640 ⇒ 00:27:54.470 Amber Lin: Yeah, it’s no…
356 00:27:54.470 ⇒ 00:28:02.870 Samuel Roberts: sure if there were more, like, specifics that were, like, brought up by them, or promised, or where I can even… if that’s it, I can… I can work my way through that, and…
357 00:28:03.280 ⇒ 00:28:15.399 Amber Lin: Yeah, I think most of it would be… will start off being the same as what we have here, but it’s also… it also depends on what’s possible, because I don’t know what’s possible. They also don’t know.
358 00:28:15.400 ⇒ 00:28:16.330 Samuel Roberts: Yeah. No, that’s fine.
359 00:28:16.330 ⇒ 00:28:22.779 Amber Lin: If we can show them, then they’ll be intrigued, and they would like to say, oh, that’s an interesting plan, let’s go with that.
360 00:28:26.580 ⇒ 00:28:30.110 Samuel Roberts: Yeah, that sounds good. Yeah. Just want to make sure I’m on base with that. Cool, thanks.
361 00:28:30.410 ⇒ 00:28:31.340 Amber Lin: Thank you.
362 00:28:31.340 ⇒ 00:28:31.970 Samuel Roberts: Alright.
363 00:28:32.210 ⇒ 00:28:33.569 Amber Lin: Great. Bye.
364 00:28:33.920 ⇒ 00:28:34.739 Mustafa Raja: Thank you.
365 00:28:36.000 ⇒ 00:28:37.549 Casie Aviles: Okay, thank you guys. Bye.
366 00:28:37.710 ⇒ 00:28:38.239 Amber Lin: Oh, buddy.